Welcome,Guest

What we are saying!!



Offshoring risks are real and could land your startup in a more-harm-than-good situation if not mitigated well.

Before taking the decision of whether to go for an offshoring partner for your startup, there might be a few questions or risks on your mind. In this blog, I'll be addressing those on the basis of how Evon, in its decade worth of experience of working with hundreds of Startups, has been handling those risks.

For a little background, Evon has worked with 600+ Startups ranging from the ones started by established enterprises to solve bigger consumer and institutional problems, to individuals who built their ideas block by block and eventually created runaway revenue generator machines. There are successful Startups now in the market whom Evon has helped build and scale from scratch to $2.5MM/Q profit businesses.

Now, without further ado, let's dive into the offshoring risks that a Startup might perceive and mitigations that Evon has in place.


Evon’s Take On Offshoring Risks and Mitigation

#1 Risk: No Prior Offshore Recruitment Experience or Don’t Know How to Establish if You’re Hiring Right People

Description: Setting up an offshore team is a first time experience for most startups. Of course, some degree of trust is required while building a team with an offshore partner, but no transparency in the hiring process could prove detrimental to your product expansion plans.

Mitigation: Transparent Hiring Model

Description: Evon understands your fear of being thrown off the scent, and therefore offers complete transparency in the hiring process. Be it one-on-one interview or running test series for gauging the required skill-set, you can do all that helps you make a confident decision about Evon’s development and testing & QA services. You can even further evaluate by giving some real project tasks for two or three days, and hire after being completely satisfied with the effort and skills.

#2 Risk: Cost of Evaluation

Description: Waiting for five to six weeks to get something from developers just to evaluate whether or not it’s worth continuing with them involves cost for the effort made during that time. It could be really frustrating for clients to look for another offshore team after six weeks because the previous one couldn’t meet their expectations. It’s just not loss of time but money as well for the unused effort.

Evon’s Take: Start Small , Build Fast.

Description: Evon’s strategy to effectively mitigate the cost-of-evaluation risk is to start small and build fast. It’s in fact not necessary to work on multiple modules for six long weeks and then send it across for evaluation when a small weekly or biweekly release is good enough for the evaluation purpose, be it code quality, bug fixes or the team’s overall understanding of your product.

Such an approach enables clients to become decisive much earlier than usual. Short release cycles also help test early, give feedback for user acceptance and market fast. For those who are concerned about the evaluation cost, Evon is ready to share the cost for the first two to three weeks. Contact us to know more.

#3 Risk: IP (Intellectual Property) Security and Data Confidentiality

Description: Data security has become one of the biggest concerns of today, be it personally identifiable information or IP of an organization. Your product’s source code, or any product info for that matter, is confidential information that you obviously don’t want your offshore partner to share with third parties. But, how would you ensure that?

Evon’s Take: Legal Framework and Different Levels of Security Confidentiality

Description: As a data security standard, Evon signs non-disclosure agreement (NDA) with all its clients. There’s often a fear among clients that the offshore agency may use their unique idea, source code, or any other product related info to start a similar business of their own or may share it with competitors or third parties for unethical financial gains. To leave no room for such fears, Evon is also ready to enter into a non-compete agreement. Evon also follows latest security protocols for data transmission and sharing.

#4 Risk: Working with Remote Teams in a Different Time Zone may lead to Communication Gap and Delays.

Description: One of the major pitfalls of offshoring is occurence of communication loops while working with remote teams located in a different time zone. How would clients/project managers prioritize requirements, track progress, review and be on the same page without proper communication and collaboration?

Mitigation: Daily/Weekly Meetings and Flexible Work Hours

Description: Daily/weekly meetings with clients/project managers at a time that suits them is Evon’s way of ensuring that time-zone-difference is never a hurdle to communication. Evon also offers flexibility in work hours to all those clients who want their offshore teams to work in their time zone.

Evon also provides a dedicated account manager to do regular Pulse Check twice a month to ensure if you’re happy with the way things are going or if there are concerns to be addressed. Besides, every Evon client knows what exactly their offshore team’s hierarchy is, therefore they correctly use the chain of escalation and know who to reach to get their concerns addressed.

#5 Risk: Ramping Up Team Size in the Future

Description: More often than not, project requirements keep on changing and you may need to increase the team size in the future. Hiring resources from different locations for staff augmentation not just increases cost due to managing two remote teams now, but also drains all your energies in making the two far-off teams coordinating well with each other.

Mitigation: Provide Skilled Resources on Need Basis

Description: Being in software offshoring business for over a decade now, Evon has grown a large base of skilled and passionate techies to keep all sort of requirements fully covered on need basis.

As a matter of fact, there’s a big pool of English speaking, skilled, talented and experienced workforce available in India. This also works well in Evon’s favor to provide you all the required resources at one place. So, partnering with Evon enables you to work on your product for 100 hours when your competition is working for 40 hours, that too without any hassles and without taking too long. Reduced time to market is the key to stand out competition, which Evon makes it possible for you.

#6 Risk: Resource Monitoring, Progress Tracking and Work Hours Spent

Description: Managing a team from a different corner of the world becomes a risky affair when there’s no solid means of monitoring resources and tracking their efficiency. Also, not being able to verify work hours spent on particular tasks and who is actually working on your project could lead to extended deadline and cost hike.

Evon’s Take: Real-Time Reporting and Tracking with our Project Management Tool FindNerd

Description: Evon has its own real-time reporting tool FindNerd which sports slick features for task creation, scheduling, monitoring, bug tracking, activity updates, and analytics. Clients can ensure complete transparency and veracity of the tasks worked on and the effort spent via sprints, session tracker and desktop screenshots of developers’ systems.

Although Evon’s tech leads and SMEs do code review before creating a test instance for clients, FindNerd helps ensure user acceptance by enabling clients to be in complete control of processes and management all the time through. Grab a good look at the features FindNerd offers and how it is distinct and better from others.

Last but not the Least

There is no denying that IT outsourcing has to offer many benefits to a business. But, one must not make the mistake of underestimating the risks associated with it. Evon analyzes all the risks associated with offshoring and makes efforts to mitigate them to ensure not only quality product delivery, but good client-vendor relationship as well.

The relationship between the Business organization and the Outsourcing partner are sustainable when there is openness in communication and sharing of concerns to resolve the issues. With time the trust is built and it becomes a mutually beneficial association. However, it is also essential that there is total commitment from the Business organization, at all levels, to support the outsourcing decision once made after considering all the tradeoffs, rather than one or more champions of the cause trying to push a reluctant organization.

Are you looking for an offshore IT consultant to help you take your business or product idea on the right path? Are you feeling the need to scale up your team to expand your product and add new features to it? Get in touch with us and fill the form, we promise to get back to you soon and get your offshoring journey started on a positive note.

Last modified on
Hits: 965
0

In the previous blog, we got a reasonable understanding of how a technology partner helps non-tech entrepreneurs build a successful tech startup. But, the quest to find a good tech partner that fits the purpose is often very tricky and requires to answer some critical questions. So, moving ahead, I am writing this blog to offer insight into what all important things a non-tech entrepreneur must consider before partnering with a technology service provider to make their startup a success. Let’s begin!!!

Looking for a Technology Partner: Here’s What to Consider

What are Your Technology Goals

Before you start looking for a technology service provider, you should draft what exactly needs to be developed and what the deliverable should be at each step of the process. Defining your goals helps the technology partner establish if your goals are realistic and can be achieved without having you to make any false promise to your customers. An honest tech partner won’t shy away from saying no if your requirements are not feasible for the real world.

It’s better to be too specific from the outset rather than facing a situation at a later stage where misunderstanding leads to redoing of the code over and over again to meet your expectations. The more details you provide about your needs and requirements, the easier it gets for a technology partner to do business analysis and be on the same page.

Do they have Expertise and Passion for Technology

For tech startups, it’s paramount to go for a technology partner that holds good experience in providing technology solutions and enjoys what they do. Some sort of research is required at your end to deduce how long and how well they have been faring in the technology market providing solutions similar to your requirements.

Also, you should look for solutions your competitors are providing to customers and what additional features you can provide to create solutions to their pain points. It’s a good idea to conduct a direct meeting with a technology service provider over Skype or face to face, if possible, to know what technology stack they have been using and how fast they adopt new technologies to keep pace with ever changing tech market.

Ask for Demo Product

Well, trusting an independent software vendor blindly could land you in big trouble. Therefore, before entering into a contract with a tech service provider you can ask for a prototype of your app/website. This helps you test and verify their skills and expertise to ensure they are the right fit for your dream project.

Project Management

Since requirements are likely to change with changing times, it becomes very difficult to make changes in a product that was completely developed at once. Therefore, you should go for a technology partner that follows Agile or DevOps approach as they enable developing a product in small iterations and have a working software ready at a very early stage of development. Besides, you can market a feature much faster and continuously build on customer feedback to meet their expectations.

Service Level Agreement (SLA)

Having a service level agreement (SLA) leaves no room for confusion. Both the service provider and receiver know what their responsibilities are and what exactly has to be developed and delivered while maintaining minimum quality levels laid out in the SLA. Metrics for SLA should cover the volume and minimum quality of work, speed, responsiveness and efficiency. Besides, an SLA should define mean time between failures (MTBF) or mean time to recovery, response, or resolution (MTTR).

Duration and Cost

A technology service provider just not shares the technology burden of your startup, but also helps reduce cost and time significantly. However, if you don’t lay out in the agreement the estimate cost and time to build your product, you may get charged higher that you thought or your budget allowed. So, make sure the agreement has the cost and time mentioned along with a provision for negotiating changes in the expected period of time. Read the contract between you and your service provider carefully to avoid any hidden costs.

Do they Test

Having different vendors for development and testing often exceeds the deadline. So, the better option is to choose a tech service provider that can do both product development and testing. When the development and the testing team are at the same place, they coordinate better and make iterations much faster. As a result, you can market your product faster and stay ahead of the competition.

Communication Skills

No matter how technically strong your service vendor is, they would simply not be able to align with your requirements if they failed to understand you. So, communication skills must not be trivialized while looking for a tech partner. The project manager and the team must have excellent communication skills to get a fair idea of even the finest details you share with them, be it spoken or written. They must also be able to raise queries and ask for information in clear terms to avoid delays in decision making.

Location of Technology Service Provider

Apart from skills and expertise, you should also take into consideration the location of your technology service provider. Since different locations have different government regulations, facilities, business environment, availability of resources, etc., you should go for the one that best suits your business. Countries, like India, have already become very popular for partnering with a technology service provider owing to the ease of cross-border business, abundance of resources and the ability to effectively adapt to different cultures.

After Sales Support

A software vendor that offers after sales support is always a better option since you may require to make changes or improvements after the release. So, post-production support should be in your list while looking for a tech partner.

Data Security Regulations and Intellectual property

Personal data security has become a big concern across the globe. So, choose a technology service provider that agrees to comply with the existing personal data regulations, like GDPR for European Union members. Also, agreeing a vendor upon signing a non-disclosure agreement (NDA) ensures to keep your confidential information/data safe. An ideal technology service provider uses the latest security protocols for data transmission and sharing, and codes the solutions using the latest security standards.

Conclusion

There are myriad of choices available when it comes to finding a technology service provider for a tech startup. Still, choosing the right technology partner is very tricky and confusing for non-tech entrepreneurs. However, if you carefully consider the tips I have discussed in the blog, you can protect yourself from making a wrong decision and adversely impacting your business. A right technology partner means time and cost saving while getting a top notch product developed to shape your dream idea into a reality.

Why Evon

Evon Technologies has over 10 years of experience in IT consulting, app development, web development, QA and testing, custom development, enterprise integration, offshore product engineering, application migration and application maintenance. Evon was a startup itself when incepted, therefore understands the pain points and struggles of a startup. Our expertise and passion for technology drive us to provide innovative technology solutions to all our startup clients, with the sole intention of bringing them desired growth and high ROI.

If you are looking for an offshore technology service provider for your startup, get in touch with us. Trust us, we won’t disappoint you. You can even test and try Evon before going into complete development and testing of your product.

What else, apart from already discussed, do you think one needs to consider before going for a tech partner? Which country is your preferred choice for finding a tech partner and why? We value your views, please share them in the comment box below.

Last modified on
Hits: 1688
0

Gone are the days when only tech entrepreneurs were able to build a tech startup, followed by a lucrative business. The last decade has witnessed a host of non-tech entrepreneurs bringing out-of-the-box startup ideas to fruition and making hundreds of millions of dollars or even more annually. Airbnb, Uber, Alibaba, and Tinder are some of the most successful tech startups that came from non-technical entrepreneurs.

However, the most important question to ponder over here is how a low tech geek can turn their tech-startup vision into reality?

If you’re a non-technical entrepreneur looking forward to build a tech startup, you should be prepared to overcome various technology barriers from the outset. The most common technology challenges that non-tech entrepreneurs face include:

  • No knowledge of coding and no clarity over where to start from and how

  • Not aware of what new and trending technologies fit your dream startup

  • Confusion over what all features the Minimum Viable Product (MVP) should have

  • High cost of hiring and training an in-house team of experts to cover all technology requirements of your bootstrapped startup

  • Challenge to meet the deadline so the product can be marketed faster

  • Keep pace with changing market requirements to stay ahead of the competition

  • How to mitigate risks

However, there’s a way a non-technical entrepreneur can effectively overcome all these technology challenges. And that is, going for a technology partner or technology service provider. Let’s see, how?

How a Technology Partner helps Non-Tech Entrepreneurs bridge Technology Gaps

Hiring Techies

Finding the right talent is indeed the trickiest and the toughest part of a startup journey for non-tech entrepreneurs. Besides, a lot of time goes in the process of hiring and training, which often proves to be a bottleneck for a bootstrapped startup. This is where a technology provider proves to be a big help by providing top resources for your project in quick time and getting things started much sooner. So, a technology partner keeps you from scraping the bottom of the barrel and from getting your startup out of kilter.

Product Idea Viability Test via Proof of Concept

Most technology partners create a Proof of Concept (PoC) before starting to code in order to test viability and usability of your product idea. PoC helps determine whether a software idea can be implemented in the real world, what technology solutions should be used during the development phase, and what are the chances that users will adopt your product. Having the PoC is also a great means of convincing stakeholders that your startup idea is worth investing in and raise funds needed to strengthen the core business model.

Building a Successful MVP

Developing a Minimum Viable Product (MVP) is the first attempt to take your tech startup off the ground. An MVP helps solve the most important and basic problems and include the most essential functions to capture and engage early adopters. But, creating an MVP is not as easy as it may sound and requires great technical expertise. If you’re an entrepreneur without a strong technical background, you should choose a technology service provider for converting your ideas and vision into an interactive product that has sufficient features to attract initial users and investors.

Reduced Operational and Infrastructural Cost

Since wages vary across the globe, the cost of hiring a technical workforce overseas with the desired expertise is much lower than that of hiring an in-house team. For example, offshore technology partners in India provide technical experts at a much lower cost than you would get in Western Europe or North America (The US and Canada). A technology partner also saves infrastructural costs for you as you don’t need to invest in expensive IT architecture and systems.

Nimble Product Development and Faster Time to Market

Increased speed to market (STM) has become a key to success for any startup. A technology partner saves you months of time that goes in hiring and building a team of developers before you start building your product. Many technology partners use Agile methodology for project management to quickly produce a basic version of the software product, tested after several successful iterations. Always remember, the faster your product reaches the marketplace, the higher the chances of your startup to become a success and stay ahead of competition.

Increased Focus on Core Business Goals

One of the major benefits of hiring a technology partner is that it frees your energies from the operation and lets you focus more on your core business tasks, such as sales and marketing strategy, meeting other vendors, growing your network of potential investors, better client relation, product feature initiatives, value added services, etc.

Better Risk Mitigation

Technology partners manage risks that come up during the development process much better than non-tech entrepreneurs, as it’s a part of their core business. They also supplement operations with disaster recovery mechanisms and detailed backup plans in order to quickly and effectively respond to situations such as natural calamities, accidents, market fluctuations or technical crises.

Quick & Effective Migration to new Technology

Technology service providers work on several different projects and keep updating themselves with latest technologies, such as cloud computing. As a result, they help you easily migrate to newer technologies with minimum downtime and without hampering productivity. Technology migration allows to have a high performing system that is scalable and easy to maintain at low cost.

Conclusion

Being inefficient at IT skills is no longer a roadblock for non-tech entrepreneurs to shape their innovative business ideas into successful startups. They can always go for a technology partner that believes in their idea and treats it like their own. The benefits are quality code, high productivity, reduced cost, access to specialized IT professionals, latest technologies, timely development, increased speed to market and many more. However, there are certain things to keep in mind while choosing a technology partner for successful product development, which I will be explaining in the next blog.

How Evon Can Help

Evon has 10 plus years of experience in software product development and consulting. At Evon, we are committed to provide expert level technical assistance to entrepreneurs with disruptive startup ideas. Feel free to get in touch with us if you have a creative startup idea and looking for a technology partner to turn your vision into reality. We will be glad to address any concerns that you have related to your product idea and to get your software project started in the right direction from the outset.

What would you prefer for your tech startup, a technology service provider or an in-house development team, and why? Do you agree with the statement that emerging technologies are making technology service providers even more important for non-tech entrepreneurs to build tech startups of modern day? We value your views, please share them in the comment box below.

Last modified on
Hits: 2918
0

DevOps has taken a center stage in software development in recent years, with more and more software-powered organizations embracing it to outperform competition and stay ahead of the growth curve.

DevOps is not a job or title or profession, but a cultural shift to unify development team (Dev) and IT operations team (Ops) to accelerate the delivery of a quality software, market it faster and maintain almost 100% up time. The software engineering culture of every company is different, and so does its way of adopting DevOps culture. However, no matter what DevOps strategy you adopt for your business, it must enable you to look at a bigger picture to keep pace with fast changing customer demands, provide innovative customer experiences and quickly respond to requests.

How DevOps goes a Step Further from Agile

Agile methodology is very well known in the software development world for making the software development process much faster and adapting to the changing customer needs much easier than Waterfall. Agile methodology brought the concept of building a software in small iterations, and eliminated the need of extensive pre-planned specifications.

However, one important thing that Agile largely missed was to bridge a gap between the Development team and the Operations team. Simply put, Agile provided the agility to development, but lost on operations, which still delayed the development process and releases.

DevOps was born out of this need to bring software development (Dev) and software operations (Ops) on the same page. As both the teams work in sync and think from each other’s point of view, they have a common goal to achieve: the success of the entire project, not just of their part.

The DevOps Software Development Cycle looks like Something Showed Below.

In order to develop a quality software fast and ensure successful deployment, DevOps involves processes such as automated build, test automation, continuous integration, continuous delivery, continuous improvement, continuous monitoring, configuration management, application and infrastructure monitoring, virtualization and containerization.

To perform these processes, DevOps heavily relies on automation tools, and without them, it becomes like a boat without oars. No matter however skilled the oarsmen are and however collaborative efforts they can make, they just won’t be able to move the boat without oars, right? The automation tools are the oars of your software boat here.

Key Advantages of DevOps Culture Adoption

As per the 2017 State of DevOps report by Puppet, high performing DevOps have achieved.

  • 46 times more frequent code deployments

  • 440 times faster lead time from commit to deploy

  • 96 times faster mean time to recover from downtime

  • 5 times lower change failure rate (changes are 1/5 as likely to fail)

Short Development Cycle

DevOps engineers build a software and test it in short cycles. Also, as developers and IT operations work in tandem with increased collaboration and communication, the small batches of engineered code is quickly moved to production. Besides, an automated technique of building and testing of code called continuous integration (CI) helps quickly push updates to customers.

CI lets developers to merge code changes in a central repository, after which automated builds and test runs takes place. This makes it possible to catch bugs much earlier, and therefore saves lot of time in moving the code to production. CI refers to the build stage of software development release and ensures that customers get the value they desire.

Fast Releases

Since software is developed in short cycles, deployment happens at a much faster rate. So, the release time that usually takes 3-6 months is significantly reduced to a daily release build cycle. A new feature that customer needs can be marketed much faster as a direct result. Continuous delivery (CD) is a software development practice that automates the release process so that customers get new updates in a quick and reliable manner. Besides, developers deploy code changes as early as possible by releasing small batches to production. Therefore, it significantly cuts down the time it takes to validate and release new software updates.

More Stable Software Deployment

Having to work with the development team much before software deployment makes the operations team have a stronger understanding of the database and system architecture. This leads to more stable deployments. Infrastructure as Code (IaC), which means writing code to manage configurations and automate provisioning of infrastructure, allows better testing and quality control, more efficient and predictable deployments, and decreased recovery times. IaC also simplifies the Cloud migration process while ensuring security and efficiency.

Meets Client Expectations

As customers get to interact with QAs and see some form of working software at the end of and during each iteration, they provide quick and valuable feedback. The QA team then communicates with the development team to work on client feedback. As a result, the development team easily makes necessary changes along with bug fixes in the next release, and therefore meets customer expectations and keeps them satisfied with the product.

Innovative Customer Experiences

As software development teams collaborate with product owners and customers as well, they have a clear understanding of their needs. Therefore, they feel encouraged to experiment and find innovative solutions to address those specific customer needs. Also, as most of the tasks are automated, team members get more time to identify areas where products and services can be improved. DevOps culture makes a big difference when it comes to end-user experience.

Responsiveness to Change

One of the top virtues of DevOps approach is that it allows to constantly adapt to a rapidly changing market environment. Since what is popular today might become obsolete tomorrow and it’s also not possible to define all the requirements at the very time a new idea is brought up, having the ability to adapt to a change becomes paramount to stay relevant and ahead of your competition.

DevOps model enables developers to introduce a change at any given point of time, even after the product is completely developed.

Reduced Failure Rates

No software is free of failures. But Continuous Improvement Process (CIP) in DevOps plays an important role in reducing failure rates. As all team members continuously assess and iterate to enhance products and services, chances of failures become slim. Besides, unlike previous models, short release cycles ensure that not hundreds of changes go in one big release, which greatly reduces the chances of failure. A continuous aim to identify issues and make changes to resolve them makes DevOps culture a big success in software development business.

Makes Employees more Productive and Happier

Automation plays a big role in increasing productivity of DevOps engineers. The time that is saved from performing manual tasks is used by developers to produce higher quality code faster. They also get time to use their creative minds to find interesting solutions to customer-side problems, and help improve the app/software sometimes even beyond customer’s expectations.

Happier employees is also a gift of DevOps culture. As different teams don’t do a handoff job and increasingly communicate and collaborate with each other, no contention related to their different roles occurs during the software development and delivery process. They think and work from each other’s perspective to reduce bottlenecks and focus on developing a great product that keeps everyone including all team members and customers happy.

There is no denying that DevOps is the future of software development. A cultural shift that encourages collaboration and communication between teams and automates the development and deployment tools is certainly a big stepping stone towards achieving a lot in a short span of time and satisfying all customer needs. However, to make DevOps a success for your business, you need to figure out effective ways to implement it, as DevOps is not a job but a culture that is personal for every team.

For any queries related to DevOps and agile software production, leave your comments in the comment box below.

Last modified on
Hits: 3131
0

Application requirements have changed drastically in recent years. For any application to succeed in this era of cloud computing, big data and IoT, going reactive is increasingly becoming a norm.

Today’s users embrace applications that have milliseconds of response time, 100% uptime, lower latency, higher throughput and scalability. However, these features are nearly impossible to achieve by using yesterday’s software architecture that enabled applications having tens of servers, long response time, hours of offline maintenance and gigabytes of data. There’s now a need for systems that are built for distributed environment, and which can deal effectively with petabyte of data and cloud-based clusters running thousands of multi-core processors.

This is a major reason why many businesses are adopting Reactive Systems for building applications that provide high-end user-experience and help beat the competition.

Let’s get into details of what Reactive Systems bring on the table for your application and how they work.

Top Four Traits of Reactive Systems:

Responsiveness

If an application user doesn’t get timely response, they will go somewhere else because they are not getting the value they expect from your application. Having a reactive System prevents that by responding in real-time. Besides, such systems are capable of detecting errors quickly and fixing them effectively. Being able to provide consistent response times helps comply with tighter SLAs of today, grow confidence in end users and make your app highly interactive.

Responsiveness heavily relies on two other aspects of Reactive Systems: Resilience and Elasticity. Let’s see how.

Resilience

If a system is not resilient, it will not be able to respond under failure, making responsiveness a lost feature of your app. By using replication, isolation and delegation, you can have a Reactive System that is resilient and responsive even under failure. When components are isolated from each other, they can fail and recover without leading to the failure of the system as a whole. Delegation allows another (external) component to take the responsibility of recovery of each component, whereas replication ensures high-availability whenever required.

Elasticity

As workload can vary from time to time, your application should have the ability to stay responsive even under high workload. According to Reactive Manifesto, “Reactive Systems can react to changes in the input rate by increasing or decreasing the resources allocated to service these inputs.”

Isolation of components from each other and no sharing of resources pave the way for replication. Which translates into running multiple instances of a component at once and splitting the inputs between them. The inputs become asynchronous messages, allowing instances to independently receive different messages. All the instances only deal with the messages they receive, and do not show concern for ordering of a message in relation to other messages. Also, there’s no need to care about how other instances are dealing with their messages.

As a result, it becomes possible to scale up or scale down as many or as few instances of a component running at once as required. This property of growing or shrinking as needed is referred to as “elasticity”.

Message-Driven

Reactive systems are message-driven and use asynchronous message-passing to create a boundary between components. This brings the much-needed loose coupling, isolation and location transparency in the systems. With a boundary established between components, failures go as messages.

Due to this message-driven nature, the system responds in a sensible way when any component comes under stress. The component can’t fail, so it sends a message to the system, telling the fact that it needs other components to reduce its load. This feature is called back-pressure. Message queue monitoring and action-taking ability makes the system capable of managing load, elasticity, and flow control.

How Loose Coupling boosts Performance of Reactive Applications?

Going reactive means using a set of design principles to create cohesive pieces of software that solve individual problems efficiently through “separation of concerns” and “loose coupling”. The architecture of Reactive Systems is so designed that multiple individual components of the software conflate as a single unit and react to changes.

To better understand, let’s take an example. A software that has tightly coupled components would look something like this.

It might be your hard work, but it will not be able deal effectively with a change. All of them would probably fall if anyone of them moves out of the place. So, if your software does not have components that are independent of each other, they won’t be able to work properly in the absence of others.

Now, look at this.

Well, this is made of small reusable components that can be arranged in different ways to solve different problems.

But, think about the effort and the cost that will take for converting it into something showed below.

Besides high cost and time, this might also prove to be a headache for your technical team.

The Takeaway: even if your software architecture has small, reusable pieces, it’s not enough to effectively deal with a change, as new requirements may demand a complete rewrite of huge parts of your system.

Now, look at this.

The picture says it all about how easy it is to change from one shape to another. All you need is to add some toothpicks and balls or remove them to create a different shape. Since the balls are totally decoupled from each other, they can be easily linked with any other through a common interface (the toothpick).

Such a software architecture design makes it possible to effectively react to a change and solve different problems through resilience, elasticity and responsiveness. The picture has its limits and just serves as an example to make it easier to understand what do we mean by decoupling or loose coupling.

What Reactive Programming holds for Reactive Systems?

Reactive Programming is a popular method of writing codes to create components and compose workflows in Reactive Systems. The programming method is event-driven and helps increase utilization of computing resources on multicore and multi-CPU hardware. Besides, developers using Reactive Programming find it easy to deal with asynchronous and nonblocking I/O. What makes Reactive Programming a good fit for developing Reactive Systems is the removal of explicit coordination between active components.

Below are some links to case studies of businesses going reactive, and thereby boosting growth

How America’s largest telecommunications provider Verizon is drawing benefits from going reactive

UK’s online gaming leader invests big on reactive to drive personalization

Walmart sees 20% hike in conversion rates after going reactive

Wix.com user base grows from 5 to 50 million after going reactive

The idea of going reactive is not new as dates back to 1970s. However, it’s only been in the past few years that the emergence of new tools and technologies have helped developers turn the idea into reality by composing complex tasks with ease. Going by the context of multicore, Cloud and Mobile architectures, the future of modern web is reactive. Business giants, like Netflix, Slack, Microsoft and Facebook, have already started to power themselves by going reactive, with many more businesses awaited to jump on what has now become the bandwagon.

For any queries related to Reactive Systems and Reactive Programming, get in touch with us using the comment box below.

Last modified on
Hits: 2314
0

The world of finance is set for a big change. Two disruptive innovations, Cognitive Computing and Blockchain, have attracted some serious attention in the finance world for the potential they have showed to revolutionize finance industry. There’s also pressure mounting on financial institutions to adopt new technologies for more competence, new customer experiences and efficiency savings.

Dutch bank ING, Dubai-based Emirates NBD and Deutsche Bank are among some financial services leaders which have already earmarked hefty amounts for strengthening their digital capabilities by using the power of cognitive computing and blockchain. The IBM Watson Platform has also created a lot of buzz to help remove the complexity of financial system by providing an “insight as a service.”

How Cognitive Computing and Blockchain are Shaping the Future of Financial Services?

Cognitive Computing, a term coined by IBM, simulates the functioning of human brain in a computerized model. The goal of cognitive computing is to use self-learning algorithms that use data mining, predictive analytics, pattern recognition and natural language processing that mimic human-like intelligence.

Deep learning algorithms and neural networks play a crucial role in development of cognitive systems that can acquire knowledge from the data they are exposed to by mining data for information. The system learns more and become more accurate as it gets exposed to more data over time.

Implications of Cognitive Computing for finance industry

Financial institutions have very large sets of data at their disposal, but they have not been able to take full advantage of them for years. “We all have mounds and mounds of data, but getting data to produce insight, that is the holy grail", said Cathy Bessant, chief operations and technology officer at Bank of America Corp, during the Fintech Ideas Festival.

Banks cater to millions of customers of different income, age, location and needs. However, customers often get fed up with financial institutions targeting them with products that don’t suit their requirements. Cognitive computing could play a big role here to end such stereotypical approaches for targeting customers.

Using cognitive technology, financial institutions can unlock the power of unstructured data, understand different requirements of customers and treat them as individuals, not faceless entities. Relationship building is another strong advantage that banks can pull using cognitive technology.

Cognitive computing provides a way to determine an individual's personality via historical data and analysis. Therefore, financial institutions can tell an advisor the type of engagement strategy they need to devise to interact and build relationship with a particular customer.

Having such an ability increases the chances by many folds to sell right products to different customers and drive value out of the relationship. Besides, cognitive systems do not require human efforts to interact, engage and advise customers on the investment options that are most likely to bring them good returns.

What Blockchain Holds for Finance Industry?

Blockchain is another revolutionary technology that could see high adoption rate across various sectors, not just financial services, in coming years. Blockchain was used to create the first ever cryptocurrency, called Bitcoin. It’s now widely believed that Blockchain will become the future of transaction processing in financial services.

Click here to learn how Blockchain works

Blockchain is a decentralized ledger of transactions that are cryptographically secured. Every transaction is stored in a block and each block is linked to the preceding one using advanced cryptography. As new transactions happen, new blocks are generated and linked to preceding ones in a chain of blocks that can’t be reversed or deleted.

“Blockchain is so profound it will do for trusted transactions what the internet did for information,” said IBM Corp's president and chief executive Ginni Rometty. Rometty also described blockchain as one of the most transformative technologies for finance.

Use cases of Blockchain in Financial Services

Cross border payment is currently an expensive and slow process. Blockchain has a great potential to expedite the international money transfer process and significantly cut remittance costs, from 5-20% to 2-3%.

Smart contract is another most promising application of Blockchain technology, allowing to execute commercial transactions and agreements automatically. Also, there’s no need to pay a middleman to provide products such as Letters of Credit and enforce the obligations of all parties in a contract. Smart contracts provide exciting opportunities for trade finance as well.

Blockchain also gives rise to identity management, removing the complex know-your-customer verification approach that banks follow to identify their customers. Currently, official identity documents and some form of face-to-face checking is required to avail a loan, buy a house, settle a car insurance claim, etc.

Once identity management moves to Blockchain, users will be able to choose how they identify themselves and and have a control over who all can see their identity.

User registration still needs to be done though to create a digital identity, but only for once. The user will not have to register again for every service provider who is also connected to the Blockchain. Digital identity saves a lot time and cost that goes into information and document exchange between multiple parties.

Narrowing down the gap between finance and technology has become the need of the hour for financial institutions to stay competitive and meet increasing demands of customers. Many financial institutions have already started to ramp up investments in Cognitive Computing and Blockchain technology development to offer innovative and effective solutions to customers. That said, it’s right to say that the finance industry of today will look very different by 2030.

Do you really think that the advent of Blockchain and Cognitive Computing will reshape the future of finance industry? Is there any fear associated with the adoption of the two disruptive technologies in financial services? As always, your views are vital for us, please share them in the comment box below.

Last modified on
Hits: 3182
0

Posted by on in Marketing

We would all agree that learning is pivotal to achieving any goal in the world. However, the set goal could only be achieved fully if the learning is interesting, engaging and motivating. Textbook learning is gradually losing its ground as learners find it boring, offering them no to little visual element to be able to actually see what they are learning. Many studies have also proved that we remember less of what we read and more of what we see.

Now, think of how quickly and effectively we all had started learning playing games, like Hopscotch, Four Square, Jump Rope, Badminton, and many more. Not did only we learn those games well, but enjoyed and had loads of fun too. Having agreed upon this, we could say that gaming is one of the best ways not just to learn something, but improve concentration, cognition and participation rather than merely reading out a book.

This is one of the top reasons why Gamification is quickly turning out to be a paradigm shift in learning space now. Gamification is a technique that uses game mechanics for even non-gaming activities, like elearning. Game-based learning products are becoming more and more popular everyday among e-learners because they are interactive, engaging, motivating, and have the fun element involved, which learners widely miss in traditional page-turner courses.

Let’s gain insight into crucial factors that make gamification a boon to elearning.

How Gamification Aids e-learning

#1 Makes e-learning Interactive and Entertaining

Image source: eLearning Industry

For a learner, it’s very important to feel excited about what they are learning, which is often not the case with traditional e-learning methods. Gamified e-learning scores big here by bringing in fun and interactive elements.

Learners feel excited to take up new tasks and perform them successfully without getting bored or feeling demotivated. When learning becomes fun and exciting, learners get the feeling of immersion, which also gives them the ownership of their learning.

KnowRe is one such gamification tool that lets middle and high school students learn mathematics in a fun-filled environment. The math program also has interactive learning map to show the students’ performance and motivate them to reach their full potential.

#2 Gives a Sense of Achievement

Image Source: Christening - WordPress.com

Having successfully passed a level in a game fills players with a feel-good-factor, which further motivates them to keep playing and making new achievements. Likewise, gamification in e-learning also helps learners get a sense of achievement after passing a level, which impels them to score more points and move to a higher level, thereby making gamified learning engaging and captivating.

Ribbon Hero, a game developed by Microsoft, lets people to learn MS Office by completing short and relevant tasks, like formatting or inserting graphs. Since tasks are short, it doesn’t take learners too long to complete them, which gives them a sense of achievement related to their learning progress and fuels their motivation to reach and pass higher levels.

#3 Better Learning Experience

Gamification gives learners the freedom to learn without having to worry about failure. If they fail to pass a level, they have the option to try again without any negative aura of having previously failed surrounding them. Therefore, game-based e-learning provides a positive learning environment where learners feel enthusiastic and interested.

Image Source:Opiskelijankaupunki

To cite an example, Duolingo lets people to learn a language by taking challenges related to speaking, listening and translation. Since learners are not experts, they are highly likely to fail at some level. However, the interesting point is that they can always start over and try again without having the feeling of being a failure or looser. Such a learning environment keeps the learners positive and motivated to keep trying and succeed in their bid to learn a language.

#4 Gives Rise to Microlearning

Learners find it difficult to grasp complex concepts through one entire course. Gamification comes handy here as it divides e-learning courses in small segments that usually take learners about 3-5 min to complete. So, learning becomes a step-by-step process wherein learners feel motivated to fulfill prerequisites that are required to unlock new learning segment. Gamified rewards, like badges, points, etc, nicely connect learning paths to help complete the learning process in a much easier and effective way.

Image Source: GSV Capital

For example, curious.com has nearly 25,000 lessons on virtually any topic. Based on your area of interest, it sends you mini lessons on daily basis to help you achieve your monthly learning goals. Learners get to build their Curiosity Quotient (CQ) by taking up micro lessons everyday for 30 minutes or 15 minutes or even five minutes.

#5 Provides Feedback to Keep Track of Learning Progress

Gamified learning helps learners keep the track of their learning progress by providing them feedback. As a result, learners quickly learn from their mistakes and complete their learning journey much earlier than traditional elearning. Feedback is a very important factor in any field to let learners figure out what’s going wrong with their efforts, and quickly find a fix to improve and perform better.

Image Source: SlideShare

Salesforce with Nitro/Bunchball is a tool that provides real-time feedback to employees to have better product knowledge and deliver strong performance. Immediate feedback on employee behavior also helps employees make the best of their targeted campaigns.

#6 Long-term Knowledge Retention

Image Source: Capytech

Use of work role simulation or life-like situations in gamified e-learning allows learners not just to effectively acquire new knowledge, but fit it in the long-term memory as well. Findings of a research conducted by Professor Traci Sitzmann, at the University of Colorado Denver Business School, have also showed that playing video games helped players acquire 11% higher factual knowledge level, 9% higher retention rate and 14% higher skill-based knowledge level.

Having gained knowledge imprinted in long-term memory makes gamified e-learning way better and effective than traditional page-turner courses.

Image Source: Pinterest

MCDONALDS: TILL TRAINING GAME is designed to use a simulation of the new till system. The game features a realistic setup which contains restaurants, characters resembling customers and a narrative to take orders and deal with different customers. The game has proved to significantly improve the long-term knowledge retention rate of employees by allowing them to deliver customer experience in an environment that seems real.

#7 Causes Positive Behavioral Changes

Gamification can also be used to encourage behavioral change and instil the desired attitude in learners. Gamified e-learning appreciates and rewards learners for their good behavior via reward points, certification badges, etc. Behavior is one of the major factors for any person to grow and become successful in their respective fields, which could be effectively attained through gamified learning.

Image Source: EnGaming - WordPress.com

ClassRealm is a gamification tool that allows teachers to encourage better behavior patterns and creativity. Students get to learn positive behavior by helping out their classmates, and get rewarded for exhibiting the desired behavior.

Major Factors Driving Growth in Game-Based Learning Market

  • More positivity in corporate sector towards gamified learning has been driving the adoption rate up for sometime now.

  • University and college students are finding edugames as an excellent platform to learn complex things effectively in a fun-filled and motivational environment.

  • Increasing popularity of language learning apps, predominantly English and Chinese.

  • High demand for early childhood game-based learning.

  • Widespread popularity of brain trainer games.

  • Decline in legacy learning technology and upsurge in modern learning technologies like gamified learning.

Different Types of Game-Based Learning Products

  • Social games

  • E-learning courseware

  • Online audio and video content

  • Mobile games

  • Wearables for Virtual Reality, Augmented Reality or Mixed Reality-based e-learning

A new report by Metaari, a commercial analysis firm that tracks advanced learning technology, gives figures to understand how the game-based learning market is faring worldwide and how much it is expected to grow in coming years. Check below.

Game-Based Learning Products Market and Forecast

  • The current global growth rate of game-based learning products is 20.2%.

  • Revenue generated from the sales of game-based learning products touched the $3 billion mark in 2017.

  • Global revenue to be generated through the sales of game-based digital learning products will surge to $8.1 billion by 2022.

Gamified e-learning is radically transforming the learning landscape and firmly setting to become the learning technology of the future. Furthermore, the emergence of new technologies, like Artificial Intelligence, Virtual & Augmented Reality, Machine Learning and Cloud Computing, looks promising to rapidly lift up the adoption rate of game-based learning products in near future. At this juncture, it won’t be a hyperbole to say that integration of game mechanics and new technologies could bring gamified elearning to the mainstream in the next 10 years.

Would you like to gamify your e-learning course to bring out the best in your employees? What according to you is the most fascinating benefit of gamified e-learning? Your views are vital for all our readers, please share them in the comment box below.

Last modified on
Hits: 4208
0

Posted by on in Marketing

Digital marketing has long surpassed the advantages of traditional marketing, and it’s not an overstatement to say that digital marketers will have complete control over the customer experience in coming years. The rise of digital marketing is highly attributable to increasing use of mobile devices across the globe, currently driving nearly half of all the web traffic.

Our digital marketers offer personalized experiences to users to enhance engagement and turn them into loyal customers. Digital marketing is not about just pushing customers to buy your products or services, but offering them content that helps them solve their problems. It also involves using techniques that increase a brand’s visibility and ranking in search engine results pages (SERPs). Without a doubt, digital marketing is a great means of identifying prospective customers who exist on the Internet, like social media.

Techniques our digital marketers use to help your business touch new heights:

Search Engine Optimization (SEO)

SEO helps improve your site’s rankings on major search engines, like Google, Yahoo, Bing. SEO is divided into two categories Off-page SEO and Onpage SEO.

On-page SEO

On-page SEO means working on your website to help it rank as high as possible on SERPs. On-page SEO involves:


Keyword listing, Meta Descriptions, Meta Tags, URL Structure, Body Tags (H1, H2, H3, H4, etc.), Keyword Density, Image SEO and Internal Linking.

Off-page SEO

Off-page SEO means working off your website to help improve ranking of your site. Off-page SEO involves link building via guest posting on reputed and high domain authority (DA) websites.

App Store Optimization (ASO)

Like SEO, ASO is for app stores. A plethora of apps comes to app stores, like Google Play or iOS App Store, on daily basis. Without ASO, chances are high that your app will be lost somewhere way down without downloads. ASO helps move up you app in app stores so that users can find them easily.

Pay-per-click (PPC) Advertising

Pay-per-click means running ads and you pay only when your ad is clicked. PPC helps target particular audience when they enter specific search terms. They see your ad as “sponsored result” on the top or side of a search engine results page (SERP).

Email Marketing

Email marketing is the quickest way to reach customers with your offerings. We create engaging, relevant, informative, and entertaining email marketing campaigns to produce fruitful results.

Mobile Marketing

Mobile marketing has become pivotal to digital marketing as people are increasingly using mobile devices. Mobile marketing involves SMS, MMS, in-app marketing, etc.

Social Media Marketing

Social media has become an integral part of our lives. Most of us now can’t imagine our lives without Facebook, Twitter, Instagram, Pinterest, etc. Social media is a great platform to market content as it significantly helps increase brand awareness, drive traffic, and generate leads.

Marketing Automation

Marketing automation refers to the using tools to automate marketing actions. Our marketing team uses cutting-edge tools to automate repetitive marketing tasks such as emails, social media, and other website actions.

This article is a part of the Evon Technologies: Startup Accelerator series. For our other service offerings, please choose any of the below:

Product Development

Quality Assurance

DevOps

Last modified on
Hits: 3229
0

Posted by on in Marketing

DevOps were largely brought to the fore in IT departments after the success of agile software development and the advent of cloud computing. DevOps bridge the gap between software development and software operations by enhancing communication and collaboration between development team and IT operations team. The reasons DevOps are high in demand now are that they help increase software development speed and facilitate greater business agility.

Our DevOps break software development into smaller development cycles, which leads to faster development. We use tools such as Git and SVN for maintaining the different versions of the code. We also use tools like Ant, Maven, Gradle in order to build/package the code into an executable file good to go for testing.

Different Stages of DevOps are:

  • Plan (JIRA, HipChat, Slack, Confluence, iRise)

  • Code (Microsoft Visual Studio, Bitbucket, GitHub, Electric Cloud, SVN, Eclipse)

  • Build (Grunt, Microsoft Visual Studio, Maven, Gradle)

  • Test (Selenium, TestNG, JUnit)

  • Release (AWS, Azure, Jenkins, Docker containers, Puppet, BMC Software)

  • Deploy (AWS, TFS)

  • Operate/Configure (Splunk, New Relic, Ansible, Chef, Salt, Otter)

  • Monitor (BigPanda, Ganglia, New Relic, Wireshark)

Our DevOps ensure that clients get instant updates as and when they happen, with high quality delivery. Clients get competitive advantages, like reduction in time to market, quick response to change and automation of advanced processes and tools.

This article is a part of the Evon Technologies: Startup Accelerator series. For our other service offerings, please choose any of the below:

Product Development

Quality Assurance (QA)

Marketing

Last modified on
Hits: 2665
0

Posted by on in Marketing

We offer Quality Assurance (QA) services to guarantee a level of quality for the end client. QA is more than testing and has to make a big contribution to the overall quality of the final product.

Our QA team members maintain the quality of the system as per the specification and business requirements. They put emphasis on three main things:

  • What a product will do.

  • How it will behave.

  • How it will interact within its surroundings.

Roles of QA Professionals at Evon Tech are:

  • Understand Software Development Life Cycle and Software Testing Life Cycle

  • Conduct analysis of system specifications

  • Verify and validate all of the deliverables

  • Review documents on regular basis

  • Carefully understand all the features

  • Write all the test cases for the system

  • Prepare a report of the bugs and discrepancies in the system

  • Plan based on past results of test execution

  • QA team has their own automation framework build to test using test scripts

  • Maintain and update test scripts.

  • Perform testing for alpha, beta and live environment.

  • Communicate and coordinate with developers for a qualitative deliverable

This article is a part of the Evon Technologies: Startup Accelerator series. For our other service offerings, please choose any of the below:

Product Development

DevOps

Marketing

Last modified on
Hits: 2560
0

Posted by on in Marketing

Tech Frontrunners

Being a tech startup accelerator, we understand very well that a bandwagon technology of today might be obsolete tomorrow. Which is why our team of more than 275+ experts keep abandoning technologies that have become outdated and upgrade to the ones that are the present and the future of the technology. Such a proactive approach works in our favor by allowing us to always keep pace with ever evolving technology world and avoid being a laggard.

90% of our Developers are Full Stack Developers


Our full stack developers are familiar with all the components needed to run a software, therefore help build a better product in less time.

Owing to years of experience in software development and commitment to refine strategies for every part of the web development process, our full stack developers keep all three layers of web development process covered:

  • Presentation Layer ( UI)

  • Business Logic Layer (Backend and Data Validation)

  • Database Layer

Our full stack developers are proficient in:

  • Server, network, and hosting environment

  • Front-end code in one or more languages (Angular, Ember, JQuery, HTML, CSS, JavaScript, Java, SASS, Core JS)

  • API/back-end code in one or more languages (Ruby, Java, Python, etc.)

  • Relational and nonrelational databases (Oracle, MySql, PostgreSQL, MongoDb, etc.)

  • User experience

  • Big Data Tools (Hadoop, Spark, Hive, Hbase, etc.)

  • Quality assurance

  • Security concerns throughout the program

  • Project management and Client coordination

Full Reactive Development Team

Our team of reactive developers creates reactive systems that are:

  • Highly Responsive

  • Resilient

  • Scalable

  • Event-Driven

Reactive systems are created by writing codes that react to changes as they happen in real time. Our reactive programmers first model data and events as observable sequences, and write code that reacts to changes in those sequences.

One of the top virtues of a reactive system is that it stays responsive even when there is a sudden rise in load. Reactive systems automatically react to changes by increasing or decreasing the number of resources as per requirement. Besides, they achieve scalability on commodity hardware and software platforms at a low cost.

To develop reactive systems, we use advanced Reactive Extensions (Rx) libraries for various platforms and languages, including .Net, Java, JavaScript, Swift, Android, iOS, Angular, React Native, Vue.js, etc. Using latest technologies, we ensure to update data on the fly so that users can see changes in real time.

This article is a part of the Evon Technologies: Startup Accelerator series. For our other service offerings, please choose any of the below:

Quality Assurance

DevOps

Marketing

Last modified on
Hits: 3280
0

Posted by on in Marketing

Incepted in the year 2006, Evon Technologies has come a long way as an offshore technology partner to clients all around the globe. With more than 10 years of experience now as a technology startup accelerator, Evon facilitates staff augmentation and helps startups find business solutions for all their needs by providing services in four major areas:

Evon understands that gone are the days when a large application was attached to the use of tens of servers, seconds of response time, gigabytes of data and hours of outage because of maintenance. Evon provides what the current digital arena asks for:

  • Reach varied mobile devices

  • Provide millisecond response times

  • Handle cloud-based clusters running thousands of multi-core processors

  • Ensure 100% Uptime

  • Deal effectively with data in Petabytes

We take great pride in calling ourselves a technology frontrunner, as our ability to provide latest technology solutions has helped business clients world over carve a niche for themselves and stay competent.

We believe in exceeding client expectations and not just meet them via collaboration and consulting. As far as data security is concerned, we have a proven track record of more than 10 years where there’s not been a single incident of intellectual property breach. We strictly adhere to data security policy and strengthen the client-relationship bond with trust.

We understand that Tech startups may have nothing to begin with can seek the complete package of services from Evon to shape their ideas into a reality. However, if you have a specific requirement for your business, you can avail a particular service from us as well to make your project a success and increase ROI. Please choose below to explore our offerings:

Product Development

Quality Assurance (QA)

DevOps

Marketing

Last modified on
Hits: 3466
0

Industry-4.0.png

The new buzzword for industry is Industry 4.0, which refers to the fourth industrial revolution. Owing to IT advancements in the past decade, Industry 4.0 is believed to significantly evolve the supply chain and production line in manufacturing industry. Before we start discussing the next big frontier of industry, let’s catch a glimpse of three industrial revolutions that happened previously: Mechanization, Mass Production and Automation.

Mechanization was the first revolution in the history of industry, bringing machines to perform certain tasks. The second was Mass Production and became possible due to electricity and Assembly Lines. The third industrial revolution was automation, thanks to the advent of computers, allowing machines to perform a particular task repeatedly without human effort.

And now, we have yet another revolution “Industry 4.0” aka “Digital Factory” or “Smart Factory” or “Industrial Internet of Things” (IIoT). Let’s understand what Industry 4.0 is all about and how it will shape the future of manufacturing industry.

Fourth Industrial Revolution Explained

The term “Industry 4.0” was first introduced as “Industrie 4.0” by the German government in 2011 to enhance the production and growth of German manufacturing industry. Industry 4.0 paves the way for smart factories in which machines improve processes to a much higher level through automation and self-optimization.

Industry 4.0 uses new IT technologies, like Cyber-Physical Systems, the Internet of things, Cloud Computing, Big Data, Simulation, Autonomous Robots, Augmented Reality and Artificial Intelligence. Although the virtues of Industry 4.0 were initially believed to be a boon only for the physical production of goods, they expand the reach to planning, supply chain logistics, product development and service as well.

Essential Components of Industry 4.0

IIoT

Industrial-Internet-definition-by-GE-Automation.jpg

IIoT is an abbreviation for Industrial Internet of Things and it’s different from IoT (Internet of Things). IoT allows a smart device to connect or communicate with other devices through the Internet. IoT is mostly about consumer-level goods, like cars or home appliances, that send and receive data via Internet to bring benefits to users.

In a nutshell, IoT connects the physical world to the digital world. With IoT, home appliances can be automatically turned on and off when you’re home and when you’re not home. Therefore, it reduces unnecessary usage of home appliances and cuts down your monthly electricity bill.

IIoT or Industrial Internet of Things, on the other hand, is a sub-segment of IoT, used for industrial purpose, like manufacturing, supply chain monitoring and management. Industries across the globe, such as aerospace, oil and gas, transportation, healthcare, energy and mining, are increasingly adopting IIoT to handle critical machines via sophisticated sensors.

IIoT uses more precise sensors than that of IoT as system failures could lead to life-threatening and other emergency situations. That IoT is related to consumer-level devices, the risk originating from failure is much lower when compared to the failure of IIoT. Using cutting-edge devices and location-aware technologies, IIoT takes manufacturing to an all new level and ensures flawless supply chain management.

Big Data, Data Mining and Data Analytics

Image Source: ResearchGate

Without a shred of doubt, Big Data will play a big role in the success of Industry 4.0. Manufacturing industry generates large volumes of data as a result of Machine to Machine communication, cyber-physical worlds, cloud based software applications, Augmented Reality (AR), etc. However, this data will be of no use unless big data analytics is applied to draw actionable insights.

Big Data Analytics not only helps identify trends and patterns, but improves plant productivity as well by making it possible to examine time differences between data transmitted by different robots. This valuable information helps find a fix to improve efficiency. Besides, data analytics enables to identify flaws in product design at a very early stage by collating and examining part-per-million defect data. So, data analytics provides a way to identify anomalies or issues in new product design before customers identify them after buying from you.

Furthermore, data analytics helps calculate maintenance cost of machinery, thereby making it possible to plan and execute the process in an effective manner. Big Data Analytics will play a critical role in gaining valuable insights to reduce business costs and boost productivity.

Artificial Intelligence

Image Source: HCL Technologies

Manufacturing industry was the first to use Artificial Intelligence (AI) for product assembling and packaging. AI, too, has a very important role to play in Industry 4.0 as it facilitates machine learning, allowing machines to learn and make predictions based on experiences.

AI has a lot to do with data as cyber-physical systems communicate with each other and humans by sending and receiving data in real time over the Internet of Things. Collection and analysis of large amounts of data optimizes the manufacturing process and revolutionizes mass production. Besides, AI-powered machines are capable of performing tasks 24 hours a day, which gives a significant boost to productivity.

Collaborative Robots or Cobots

Image source: CATE Srl

It’s no secret that manufacturing industry has been using robots for many years to replace human labor, boost productivity and cut down costs. However, Industry 4.0 brings to the table the concept of collaborative robots aka Cobots. Cobots were first introduced to the world by a 1994 General Motors initiative led by Prasad Akella of the GM Robotics Center and a 1995 General Motors Foundation research. Taking the concept further, Universal Robots developed its first cobot in 2008 in a bid to enhance quality production.

Unlike robots that replace humans, cobots work and collaborate with humans to produce the desired result, without posing any threat to human safety. Cobots are lightweight and are equipped with sensors to ensure that they avoid touching humans forcefully or causing injuries to them.

Many manufacturing industries are now jumping on cobot bandwagon to boost quality production with human supervision, and Ford is one of the popular examples of that.

Augmented Reality (AR)

maxresdefault.jpg

Image Source: You Tube

Augmented Reality (AR) is known to make our existing reality more meaningful, which manufacturing industry could use to expedite the entire production chain. AR helps create simulation models and allows to see information on tasks that are being performed. With the help of AR devices, it becomes possible to see what can’t be seen otherwise, like a virtual screen appearing in front of you to provide instructions on how to perform a particular task. AR provides a brilliant way to bridge the knowledge gap in workers, which makes them more efficient and productive.

Cloud Computing

Cloud Computing will play a crucial role in Industry 4.0 to harness the full potential of robotics and artificial intelligence. The key to easily and effectively manage workloads across the full spectrum of devices created by Industry 4.0 is to integrate compute services with a cloud platform. Since Industry 4.0 produces humungous amount of data via IIoT, cloud technologies become important to analyse and visualise it.

For example, Rolls Royce teamed up with Microsoft to utilize its Azure IoT cloud suite in a bid to make aircrafts more efficient and bring down engine maintenance costs. Using Azure IoT Suite, Rolls Royce collects and aggregates data from different sources and different geographical locations.

After collecting data, Rolls Royce puts into use the Cortana Intelligence Suite to extract useful insights into engine health, air traffic control information, route restrictions, fuel usage, etc. As a result, the British luxury car and aero engine manufacturing company has been able to improve operational performance and increase fuel efficiency.


Conclusion

The fourth industrial revolution has already begun, and benefits of using new disruptive technologies are increasingly becoming evident for the industry of today. Many tech giants, including AT&T and Google, are venturing in Industry 4.0 solutions to welcome the change that seems very promising for industry. By covering the essential IT components of Industry 4.0, one can add more value to manufacturing business and touch new heights.

What are your views on the future of Industry 4.0? Do you think if there are any risks associated with the much-hyped change? If yes, please share them in the comment box below to add a new dimension to the adoption of Industry 4.0.

Last modified on
Hits: 8477
0

Screenshot from 2017-08-25 14:55:53.png

There are so many virtues associated with Marketing Automation and Customer Relationship Management (CRM), but many sales and marketing departments are still unable to notch up the best for their businesses. And, one of the top reasons cited by marketing experts for that is not integrating marketing automation with CRM. By not integrating these two technologies, many sales and marketing teams deprive themselves from understanding what works for each other and tracking every step of the buyer’s journey. Consequently, they bring roadblocks to quality lead generation and shrink the opportunities to have better conversions.

Before I begin shedding light on how marketing automation and CRM integration boosts conversion rates, let’s have a quick insight into what marketing automation and CRM are.

Marketing automation allows marketing departments to easily automate and analyze routine marketing tasks, like social media marketing, content marketing, email marketing, digital ads, landing page visits, etc. As a result, they get to focus better on lead generation and offer personalized content based on user response. Marketing Automation has become a bandwagon almost all marketing departments are now jumping on to generate more leads than ever before. Some top examples of marketing automation software are HubSpot, Pardot, SharpSpring and Marketo.

Customer Relationship Management (CRM), on the other hand,h complements marketing strategies by making it easier for sales team to convert marketing leads into paying customers. CRM tool, in a nutshell, serves as a database for storing marketing leads with their meaningful data, and help manage both existing and new customers. Some top examples of CRM software are SugarCRM, Odoo, Agile CRM and Nimble.

Let’s now move on to the most important aspect of this blog. How does marketing automation and CRM integration open new avenues for higher conversion rates?

Marketing Automation and CRM Integration a Boon to Your Business

Screenshot from 2017-08-25 15:15:10.png

Image source: Blogspot

Helps You Devise Marketing Strategies that are Highly Likely to Work in Your Favor

By integrating marketing automation and CRM, your marketing team can easily track the efficacy of their marketing decisions. Being able to track how customers are responding to your marketing material paints a clear picture about what is working for you and what isn’t. For example, you can see what sort of emails coaxed your customers the most to become interested in your services or what type of social media campaigns got you most leads. Having such an insight helps you build on what worked the best for your and devise effective marketing strategies business.

So, you can effectively run marketing campaigns and ads that suit the requirements of your customers and help them improve quality of life by going for your products or services. Marketing automation and CRM integration also allows both sales and marketing departments to keep a track on every lead from the top of the lead funnel to the bottom of the sales funnel.

Enables to Increase Conversions via Lead Nurturing

Lead nurturing means turning cold leads into buyers. And, this mostly becomes possible after you integrate marketing automation with CRM. Marketing teams can put colder leads on nurturing tracks to ensure they find your content interesting and relevant. Cold leads may not immediately get converted, but if you let go the hold over them, they become likely to buy from your competitors over time. That’s why lead nurturing is so important.

hilead-nurturing-process.png

Image source: HubSpot

If you keep contacting prospects systematically, it helps them build trust in your brand over time. The integration foundation allows marketing teams to understand unique interests of cold leads and treat them differently. Lead nurturing requires marketing team to have a better understanding of needs of prospects and targeting them with information that they want at each stage of their buying process.

A market study found that 80% of new leads never become sales. However, lead nurturing provides nearly 50% more sales ready leads at a 33% lower cost. Lead nurturing is like forming a relationship with leads, not only to sell them just once, but improve your ROI via upselling as well.

Helps Sales Teams get their Hands more on Quality Leads

Integration of marketing automation with CRM especially becomes important when it comes to differentiate between qualified leads and unqualified leads. Let’s understand, how?

Image source: Stampwood Limited

Marketing automation software allows marketing teams to automatically fetch all the information about how the leads interacted with marketing, like their social media engagement, page views, forms completion, queries, buying behavior, etc. When marketing teams enter leads along with their behavioral information in CRM, sales teams find it easy to draw a distinction between leads that are highly likely to be converted than those that are not. This is also called lead intelligence.

As a result, sales team dedicate most of their efforts to engage with qualified leads and improve conversion rates. Most CRMs allow to filter information, like leads that visited your site more than five times in past 30 days, or the ones that didn’t visit your site at all during the same time span. Such results help increase the efficiency and productivity of the sales team by encouraging them to spend more time on the leads from whom the marketing team has received positive response on their marketing material. Simply put, the more the focus on qualified leads, the better the conversion rates.

Speeds Up Sales Process

Since all marketing and sales report sits at one place, it becomes much easier to know where prospects are in the sales cycle. This in return helps expedite sales process. Sales people are also able to determine the best time to contact a lead in the nurturing process with appropriate content, thereby reducing the time it otherwise takes to convert a lead.

Another important aspect of marketing automation and CRM integration is the fact that it allows sales team to get involved in the development of a marketing campaign. As a result, marketing team is able to offer better and result-oriented content to its target audience, a factor that also speeds up sales process.

Without a doubt, marketing automation and CRM integration offers a plethora of opportunities to sales and marketing team to increase ROI via higher conversion rates. Many businesses are adopting this practice to boost their sales and get a competitive edge. It’s very hard to find a reason that why a business should not bank on marketing automation and CRM integration.

What’s your thought on the efficacy of marketing automation and CRM integration to boost conversion rate? Do you want to add more to what’s already being discussed? Please share your views in the comment box below.

Last modified on
Hits: 11216
0

finalScreenshot from 2017-08-22 08:52:20.png

Information technology (IT) departments face many challenges while working on two solutions: Staff Augmentation and Managed Services. Although both are reliable solutions, making a choice between them to achieve your goals could be a difficult task if you don’t already understand how they work and suit different project requirements. Read further to have a better understanding of which one to choose to fulfill your vision and mission.

Staff Augmentation

Many IT departments prefer to have their own in-house teams for development projects. But, often arises a situation when the in-house team couldn’t fill a gap because of lacking some additional skills that are required to complete a project. This is where staff augmentation comes to their rescue. In staff augmentation approach, an organization ropes in qualified workers from outside to work with its in-house team to cover skills gaps for a specific project. Staff augmentation helps meet deadlines without compromising on the overall quality of the project. Using extra resources via staff augmentation also saves significant costs that are associated with hiring internally.

Firms that provide staff augmentation services helps businesses assess their needs and hire as many employees as required. And, since their is no full-time employee commitment with staff augmentation approach, employers can easily increase or decrease the number of employees as and when changes occur in requirements. With staff augmentation, you can zero-in on identified area to solve a problem. Let’s have a look at all the advantages of staff augmentation.

Advantages of Staff Augmentation

Cost Effective

Staff augmentation saves a lot of money that is spent on hiring, training, providing health insurances, retirement plans, taxes, and many more. You easily get access to employees with specific skills that your in-house team members lack, that too without having to spend money on recruiting and offering employee benefits. You only pay for the number of hours you extra resources have worked for. Therefore, you save a lot of money that is otherwise paid as full-time salaries year-around.

Staff augmentation service providers have a database of skilled and certified candidates to meet your specific project requirements. So, you also don’t need to spend money on training them. Only training that is required is to acquaint them with company domain and processes, so that they acclimatize easily.

Staff augmentation also helps cut costs of advertisements, job postings and administration to hire candidates with specific skill-set.

Better Control

Staff augmentation allows you to have a better control of your project all the time. You always stay in-sync with your resources and closely monitor their activities. If you come across any efficiency related issue, you can take effective measures before it’s too late, therefore you never lose on productivity. Besides, you can delegate what you feel is important to a resource you know is best suited for.

Staff augmentation also allows you to make better use of your existing resources. When an organization outsources a project, the company it has outsourced the project to has complete control over how the resources will be used. The company may or may not use all the resources for timely completion of the project. Staff augmentation, on the other hand, enables to keep a proper check on the activities of every employee and make the best use of them.

Scalability

That you may get a project of large size, scalability comes as a handy feature of staff augmentation. That ability to not say no just because of large size of a project always proves fruitful for your business. Also, being able to deliver diverse services enhances your brand value, and delivering quality solutions raises the bars of client satisfaction.

Flexibility

Staff augmentation approach also offers flexibility as it doesn’t let seasonal factors or employees leaving your firm to have an adverse impact on your business. Online retailers especially feel the need to cope with seasonal fluctuations as many employees go on vacation. By going for staff augmentation, they can always keep the number of IT staff in control and effectively deal with staff shortages and unexpected attrition.

Offers a New Perspective

With staff augmentation, you get a fresh perspective about how things are going. It’s very unlikely for a short term employee to participate in office politics and have a negative impact on efficiency. Instead, the efficiency and discipline the staff augmentation employee brings to your workplace could encourage your in-house staff to improve their performance too. The temporary employee also helps you understand the project in a better way by providing you an objective outlook from a new perspective.

Staff augmentation brings a lot of advantages to a business, but it’s not the only way to get your projects done. Another option that is also used by many organizations to fulfill their project needs is Managed Services.

Managed Services

Managed services means outsourcing IT operations to a service provider. A managed service provider (MSP) takes all the responsibility of resource allocation, management, monitoring and problem resolution. As a result, an organization that adopts managed services gets to focus on more important aspects of its business. Let’s gain an insight into all the advantages managed services has to offer.

Top Advantages of Managed Services

Reduces Costs related to Infrastructure and Complex IT Solutions

Since managed services approach does not require you to hire resources internally, you free yourself from the need of setting infrastructure for them, which reduces business cost. We all know that hardware and software components of IT systems keep evolving from time to time. As a result, businesses with limited budget may find it difficult to keep pace with them. However, going for managed services allows them to reap the benefits of latest IT solutions at a reduced cost and offer their clients top-notch services.

Control over Service Levels and Performance

Since both the client and managed service provider agree on a service level agreement (SLA), roles of both the parties are clearly defined. SLA clearly describes what services a managed service provider will provide and what the minimum response time, liability protection, payment structure and performance standards would be. Therefore, a client gets a better control over service levels and performance by paying a fixed amount every month.

MSPs also offers 24*7 support at no additional cost. Having access to one single point of contact for IT support also saves time, money and resources.

Allows to Focus on Core Competencies and Business Goals

MSPs have highly skilled technical resources to proactively maintain IT environment and infrastructure of clients. Therefore, it becomes possible for internal team to have improved focus on core business functions. Be it hardware, on-site data center, application monitoring, MSPs keep everything covered. An MSP acts as an extra arm to your internal teams, and takes the burden of devising IT strategies and solutions to meet your unique business and technical requirements.

Data Backup and Disaster Recovery

MSPs also provide backup and disaster recovery solutions, so that you never lose your important business information. Most MSPs have specially designed networks and data centers to ensure reliable backups and faster recovery, both locally and from the cloud. IT managed services also provides protection from hackers, malware and downtime. MSPs have cutting-edge resources and information to quickly identify security issues and take preventative measures to mitigate risks before it’s too late.

Enhances Global Expansion and Growth

Many MSPs are capable of deploying infrastructure and other services globally as they have global facilities. As a result, an organization can save a lot of money that is required to hire additional resources in order to support expansion. If you choose an MSP with a presence in a region where your business is likely to grow, you will easily get support for IT infrastructure, applications and operations. MSPs also offer scalable services and only charge you for the level of support provided at a given time.

Staff augmentation and managed services have their own advantages, but one needs to assess their needs, budget and other requirements before choosing between them to brace their business. Both the IT solutions are highly reliable and helps IT departments not just save huge business costs, but benefit from latest advancements and technologies as well.

What do you think about the future of staff augmentation and managed services? Which one suits your business requirements the most? As always, your views are vital for us, please share them in the comment box below.

Last modified on
Hits: 12002
0

Be it a website, app or any other form of software, the toughest challenge that most businesses face is to find right talent, hire them and retain them in-house. Startups, especially, have a limited budget and can’t bear the high cost of hiring experienced developers for specific requirements and managing their IT requirements. These are the major reasons why many businesses, regardless of business size, go for offshore software development - A panacea for all software development woes.

Offshore development is synonymous to outsourcing your development project to a company or freelancers located in some foreign country, like India, Ukraine, etc. The best part though is you still control everything from within your organization, that too with reduced costs and more time at your disposal to focus on other core activity of your business. Also, there are many free project management tools available in the tech market, like FindNerd and Trello, to help monitor development process and collaborate with offshore developers for the best outcome.

You may have a great business idea for an app or website, but without access to wide skill-set professionals, it’s very difficult take your idea to fruition. This is one of the major reasons why offshoring has become very popular in countries like US and UK. Software talent in these countries is very expensive and the cost of training and retaining them is also too high. Let’s take one by one the benefits of offshore software development that largely outweigh the benefits of having an in-house development team.

#1 Significant Cost Savings

1111Image_from_Skype.png

In Western Europe or North America, the cost of hiring software developers is approximately 90% higher than the cost of hiring offshore developers. It’s no secret that outsourcing your project to a software development company saves 20 to 40% of your total expenditure on your production cost.

You need not to bear the high expense of paying fixed salaries. Outsourcing allows you to hire professionals and pay them based on the task they have performed and the number of hours they have spent on it. By deploying a good project management tool, you can keep complete track of resources that have been assigned and their activities towards the completion of your project.

Another cost advantage of outsourcing is that you free yourself from buying expensive IT infrastructure and set-ups. Thus, you can use your capital for other important business investments.

#2 Improved Focus on Business and Customer Base

4444Image_from_Skype.png

Having outsourced your IT requirements to an offshore software development company, you find ample of time to focus on other core areas of your business, like marketing and branding of your business. You can devise new ways to boost your marketing and sales effort so that you have a good user base after your software enters the market. Being able to focus on other core areas of your business, you get a competitive advantage in the technological race.

#3 Hire Talented Professionals You Can’t have In-House

3333Image_from_Skype.png

Technology has become very diverse, and so as software development project requirements. And, it’s not only expensive to hire wide skill-set professionals, but finding them and roping them in is the toughest call in the first place. Offshoring comes as rescuer here by paving the way for you to hire nothing less than the best for your software development project.

Most of the offshore software development firms have a large pool of resources and technical expertise readily available to fit even the toughest software development and testing requirements. It’s just one time investment after analyzing your specific requirements and project size. Besides, there is no headache of recruiting, hiring, training, and housing employees for short-term projects.

#4 High Quality

2222Image_from_Skype.png

Since your project is being taken care by expert designers and developers who use latest tools and technologies, the quality of the project is always on a par with international standards. If you are not satisfied with something, you can always ask the offshore development company to redo so that it precisely meets end user requirements. By outsourcing your project, you can ensure that your software delivers accurate results and is in line with current market demands.

#5 Infrastructure and Environment

For developers, it’s very essential to have right IT infrastructure and environment to give their best. Most offshore software development companies are serious about their job and have sophisticated infrastructure and favorable business environment. As a result, productivity and efficiency rise by many folds.

#6 Highly Secured

Another advantage is the fact that most offshore software development companies offer high-tech security. They provide complete security to your confidential data and property.

#7 Timely Delivery

Software project requirements are often very complex and may require dozens of people working on different parts. Therefore, it becomes very difficult at times to figure out the accurate number of people you need to hire for timely completion of your software project. Besides, if some of them leaves in between, the team size shrinks, resulting into low productivity and pushing the deadline further. However, same is not the case with outsourcing. A good offshore software development firm provides you the actual number of people your project requires for timely completion.

To ensure timely delivery, you should choose a firm that has a good project management system, like FindNerd, as it helps track resources and keep a check on productivity on day-to-day basis. Besides, you would only pay for the number of people who actually worked on your development project.

Offshore software development has emerged as a very lucrative option for businesses to reduce overhead costs and get a quality product developed, that too on time. There is no need to have an in-house development team when an offshore firm can arrange everything your project needs at economical prices. If you are also looking forward to get a quality product developed through an offshore software development company, let us know in the comment box below or click here.
Last modified on
Hits: 19777
0

Untitled design(1).jpg

Cloud computing has become a mainstay in IT departments. According to a research by cloud solutions provider RightScale, 95% of businesses use cloud technology in some way or the other. Without a doubt, cloud computing has emerged as the most cost-effective solution for businesses to access IT infrastructure and software on the Internet on pay-per-use basis.

However, many businesses find managing the general cloud usage and costs a very challenging task, especially when running across multiple cloud platforms. To better their plight, many companies, including some tech giants, have developed special tools for cloud management. That said, I am listing 7 cloud management tools you may like to choose from for your business in 2017.

Note: There is no denying that a cloud management tool, apart from these 7, could also prove to be the best fit for your business based on features and functionalities you need. So, don’t feel offended if I miss out on your favorite cloud management tool.

7 Tools to Manage Cloud Computing Usage and Cost

#1 Cloudability

Cloudability is an easy-to-use SaaS product, specifically designed for cost management by monitoring and optimizing cloud expenses. It helps provide better, faster and comprehensive access to data that consists information about your cloud spend and usage. Not only this, the software generates budget alerts and daily reports to keep you updated on finance. Cloudability supports multiple public, private, and hybrid cloud service providers.

With Cloudability, it’s easy to identify the resources you’re paying for but not using, and see spending breakdowns to know which services and accounts are costing you the most. Besides, it offers Reserved Instance (RI) planner for effective provisioning of Amazon reserved instances. Cloudability currently supports Amazon AWS, HP Cloud, New Relic, IBM/SoftLayer, Rackspace, Heroku, etc.

#2 Cloudyn

Cloudyn, a SaaS solution, offers various functionalities to provide unprecedented insights into usage, performance and cost of public and hybrid cloud deployments. Besides, the tool offers actionable recommendations and generates customized alerts to help managers improve performance and streamline cloud consumption and spend for increased growth. With Cloudyn, managers can access detailed information about cloud resources, governance, and reporting through a single dashboard and email alerts.

Cloudyn supports AWS, Microsoft Azure, Google, and OpenStack deployments. As far as accountability is concerned, Cloudyn ensures that through accurate chargeback and hierarchical cost allocation management. Cloudyn has more than 2,400 customers across all major verticals, including some Fortune 500 leaders too.

Microsoft Azure vs Amazon AWS: Comparison Between Two Cloud Computing Giants

#3 Rightscale

Rightscale is a cloud management tool that enables users to see and manage applications across all clouds and servers. Be it public, private or hybrid clouds, Rightscale offers a single console for designing, deploying, operating and governing infrastructure and applications. Administrators can easily define service catalogs across public and private clouds with the help of RightScale ServerTemplates. Besides, they can configure and manage their IaaS resources, keep a track on performance and control user access.

The tool provides a single multi-cloud management interface and application programming interface (API) for private and public IaaS environments, including Amazon Web Services, Google, HP, Rackspace, Microsoft Azure, IBM Softlayer, CloudStack, OpenStack, and VMware vSphere. For cloud analytics, Rightscale offers a dashboard to monitor, forecast and optimize costs across public and private clouds.

Rightscale also reduces downtime via assisted failover, automated backups, and disaster recovery environments. The tool is a good pick for avoiding risks and optimizing cost.

#4 VMware’s vRealize Business

VMware's vRealize Business, formerly known as VMware IT Business Management Suite, is a tool for cloud costing, consumption, comparison and planning. The tool enables managers to keep a check on the cost of virtual machines and get insight into how the shared resources running in the cloud are being utilized. As a result, it becomes possible for the user to manage budgets and resources. vRealize Business makes cloud infrastructure management simple by offering detailed information about capacity and efficiencies. It helps track costs of private cloud or public cloud from one console.

You can integrate vRealize Business with various public, private, and hybrid clouds. With vRealize Business, managers can also hold comparison between actual, planned and estimated spending to identify top spenders and consumers of all IT services. It allows to automatically collect data from vSphere and public clouds, and reference a database of virtual infrastructure expenses.

#5 CSC Agility Platform

CSC Agility Platform helps managers manage consumption, release, and operation of cloud-based services. The platform offers supports for various public, private, and hybrid cloud platforms, including Microsoft Azure, Microsoft System Center, OpenStack, Rackspace, Amazon EC2, CloudStack, CSC, Eucalyptus, HP Cloud, VMware vCenter, VMware vCloud Director, and many more. With CSC, a user can also automate workflow and firewall configuration over both private and public clouds. The release of Agility Platform 9.2 has brought enhanced API and Cloud SDK to simplify integration with third-party systems.

The motive behind CSC Agility Platform was to provide a cloud management tool that increases business agility, speed application delivery, and reduces costs. The platform also offers Application Release Automation to help users manage software releases and application delivery lifecycles.

#6 Microsoft Operations Management Suite

Microsoft Operations Management Suite (OMS), formerly known as Azure Operational Insights, is a SaaS platform to manage cloud IT assets from a single pane of glass. OMS offers support for various public, private, and hybrid cloud platforms, including Microsoft Azure, AWS, VMware, OpenStack, and many more. Operational insights, site recovery, backup, and automation are some of the amazing capabilities of Microsoft OMS.

OMS also offers real-time operational insights via custom dashboards, integrated search, and solution gallery. So, OMS makes it simple and quick to analyze even millions of records across all workloads and servers, regardless of their locations.

Runbooks and graphical workflow-authoring tools enable automation of manual and repeated tasks. OMS also rids the risk of security breach through Security and Compliance, and also ensures backup and site recovery. With OMS, you can extend existing management investments into the cloud via integration with System Center components, such as System Center Operations Manager.

#7 IBM Cloud Orchestrator

IBM Cloud Orchestrator is a cloud management tool that automates provisioning of cloud services using policy-based tools. The tool speeds up the service delivery time by 90% and reduces time to provision cloud services from weeks to minutes. It helps speed configuration, provisioning and deployment by providing access to ready-to-use patterns and content packs. Cloud Orchestrator also allows integration of management tools like metering, usage, accounting, monitoring and capacity management into your cloud services.

The cloud management tool reduces cost by letting you know the management tools not in use so that you can remove them. It gives rise to the implementation of common processes and fully automates error-prone manual workloads. IBM SmartCloud Cost Management and IBM SmartCloud Patch Management are two additional products of IBM to manage cloud services, usage and cost.

With the rise in adoption of cloud services, a cloud management tool has become the need of the hour to ensure reduced costs and effective management. There are many other popular and effective cloud management tools too, like Dell Cloud Manager v11, BMC Cloud Management, HP Hybrid Cloud Management, etc., that could turn out to be the best fit for your business as well. So, before you choose a cloud management tool, have a thorough assessment of your business requirements, and understand the functionality and offerings of the tool you want to pick for your business.

Have you ever used a cloud management tool before? Which is your favorite cloud management tool? Do you want to add something you think I have missed out in the blog? Please share your views in the comment box below.

Last modified on
Hits: 68999
0

TRueUntitled design (2).png

Django continues to be the pick of libraries for Python developers. However, there are some not-so-well-known libraries that happened to gain traction among Python developers in 2016. In this blog, I am unveiling 7 Python libraries, excluding the established ones like Django, Flask, etc, that Python developers may find worth considering in 2017.

7 Less-Known-Yet-Helpful Python Libraries for 2017

#1 Arrow

Mobile apps are everywhere, and are often meant for global population - be it for games, social media, health monitoring and whatnot. However, the problem with the standard data/time library for Python is that it doesn’t meet the requirements of modern apps that have their target audience living in different regions and countries. Arrow is one of the libraries to battle with this problem. It comes packed with features that simplify creation, formatting, manipulation and conversion of data, time and time stamps.

The library replaces the need for datetime type that supports Python 2 or 3. With Arrow, developers can convert one time zone to another at ease. Besides, Arrow’s date, time and calendar modules open gates to hassle-free internationalization of applications.

#2 TensorFlow

TensorFlow, launched by Google in November 2015, is an open-source software library for numerical computation. It’s been just over a year since TensorFlow was launched, but the library has already witnessed considerable popularity among Python developers. As a matter of fact, TensorFlow is one of the trendiest GitHub Python repositories.

The library uses data flow graphs capable of running over GPUs and CPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers in Google's Machine Intelligence research organization for machine learning and deep neural networks research. Although TensorFlow has created ripples in the machine learning community, it has proved to be a good fit for production applications as well.

#3 Zappa

The release of AWS Lambda brought serverless architecture to the fore. Zappa is often said to be the next evolution of application deployment for Python web applications. Rich Jones, the principal author of Zappa and the CTO of Gun.io, said in an interview, “I believe that serverless architectures - that is to say, systems without any permanent infrastructure - are the future of network applications”.


With Zappa, deployment of all Python WSGI applications on AWS Lambda + API Gateway becomes a doddle. The library rids the need of spending hundreds or even thousands of dollars on VPS services like Linode or PaaS services like Heroku. In even simpler words, we can say that Zaapa allows deployment of microservices on the cloud without any hassles of server management. Zappa is faster and scalable, too.

#4 Peewee

Peewee is a simple, expressive ORM for Python and supports SQLite, MySQL, and PostgreSQL. A database is often must for applications that use external data. However, it’s a very challenging task to get and set data from a database through ad hoc connection strings. Here comes Peewee to rescue. The library makes it possible for developers and database engineers to use a safe, programmatic approach to access database resources using a set of intuitive Python classes.

Developers who have previously created a database in SQLAlchemy would agree that it’s much easier to create a database in Peewee. Peewee is also a fit for the Flask web framework.

Click here to learn how to create a database in Peewee

#5 Sanic + uvloop

Sanic is a Flask-like, uvloop-based web framework that makes Python fast. Sanik, designed for Python 3.5, allows developers to build on async/await syntax for defining asynchronous functions. Before Sanic, Python had no way to go so fast. Another library, uvloop, serves as a blazingly fast drop-in replacement for asyncio’s default event loop.


Sanik enables developers to write async applications in Python in a way that is very similar to how they would write them in Node.js. However, going by the Sanic author’s benchmark, uvloop is well capable of handling over 33k requests/sec, which is way more than the capability of Node.js. Since Sanic is still new, more improvements and changes are highly likely to be made into it in near future. You can also contribute to its open source repository.

# 6 Bokeh

You may know that Python offers some libraries, like matplotlib and seaborn, for data visualization. However, Bokeh is a library that is specifically designed for interactive visualization that targets modern web browsers for presentation. Developers can use Bokeh for creating top-notch novel graphics in a way that is much similar to the style of D3.js. Besides, you can extend this capability with high-performance interactivity over very large or streaming datasets.

You may like to give Bokeh a try for creating interactive plots, dashboards, and data applications. Developers can also use Bokeh for transforming visualization written in other libraries, like Matplotlib, Seaborn and ggplot. Bokeh also helps in research by nicely integrating with Jupyter Notebooks.

#7 Blaze

Blaze targets database and array technologies used for analytics queries. NumPy and Pandas don’t help when it comes to running analytics over a dataset that is too big to fit in our computer’s memory. In such a case, developers often resort to PostgreSQL, MongoDB, Hadoop, Spark, out-of-disk storage systems (PyTables and BColz), etc.

However, it’s a very challenging task to understand how each system works and enters data into the proper form. Due to lack of learning about how to mix and migrate data between new technologies, it becomes very difficult to derive effective results from data analytics. Blaze ends this predicament by providing a uniform interface to a variety of database technologies and abstractions for migrating data. Blaze is a good option for expressing computations.


Although there are many other less-known-yet-effective Python libraries, like Gym + Universe, Boto3, Hug, Scrapy, Beautiful Soup and many more, I have picked only seven as the blog could go endless. Python developers can explore these libraries to see if they fit into their needs and choose accordingly.


Have you ever used any of the above seven libraries before? Do you want to add more to what’s already being discussed? Please share your views in the comment box below.
Last modified on
Hits: 58602
0

Image result for apache spark

The term Big Data has created a lot of hype already in the business world. Chief managers know that their marketing strategies are most likely to yield successful results when planned around big data analytics. For simple reasons, use of big data analytics helps improve business intelligence, boost lead generation efforts, provide personalized experiences to customers and turn them into loyal ones. However, it’s a challenging task to make sense of vast amounts of data that exists in multi-structured formats like images, videos, weblogs, sensor data, etc.

In order to store, process and analyze terabytes and even petabytes of such information, one needs to put into use big data frameworks. In this blog, I am offering an insight and analogy between two such very popular big data technologies - Apache Hadoop and Apache Spark.

Let’s First Understand What Hadoop and Spark are?

Hadoop: Hadoop, an Apache.org. Project, was the first big data framework to become popular in the open source community. Being both a software library and a big data framework, Hadoop paves the way for distributed storage and processing of large datasets across computer clusters using simple programming models. Hadoop is a framework composed of modules that allow automated handling of common hardware failure occurrences.


The four primary modules that comprise Hadoop’s core are:



Hadoop is a file system with a two-stage disk-based compute framework MapReduce and a resource manager YARN. Apart from Hadoop’s core modules, there are several others in existence as well, including Hive, Pig, Ambari, Avro, Oozie, Sqoop and Flume. These modules are also well capable of working with big data applications and processing large data sets.

The main motive behind designing Hadoop was to look through billions of pages and collect their information into a database. And, that gave birth to Hadoop’s HDFS and its distributed processing engine, MapReduce. Hadoop is a great help for companies that have no effective solution to deal with large and complex datasets in a reasonable amount of time.


Apache Spark: Spark, also an open-source framework for performing general data analytics on distributed computing cluster, was originally designed at the University of California, and later donated to the Apache Software Foundation. Spark’s real-time data processing capability provides it a substantial lead over Hadoop’s MapReduce.

Spark is a multi-stage RAM-capable compute framework with libraries for machine learning, interactive queries and graph analytics. It can run on a Hadoop cluster with YARN but also Mesos or in standalone mode. Apples and oranges, really. An interesting point to note here is that Spark is devoid of its own distributed filesystem. So, for distributed storage, it has to either use HDFS or other alternatives, such as MapR File System, Cassandra, OpenStack Swift, Amazon S3, Kudu, etc.

Now that we have caught a glimpse of Hadoop and Spark, it’s time to talk about different types of data processing they perform.

What are Different Types of Data Processing?

Image result for what is batch processing and stream processing

Image source: LinkedIn

There are three types of data processing: Batch Processing, Stream Processing and Hybrid Processing.

Batch Processing: Batch processing has been pivotal to big data world for years now. The simplest way we can define batch processing is operating over high volumes of data collected over a period of time. Since data is first collected, entered and then processed, results are produced at a later stage. Although batch data processing is an efficient way of processing large, static datasets, the time taken to return the result is long as it happens only after the computation is complete.

Nevertheless, batch processing is the best for holistic treatment of datasets. For example, when access to a complete data set is required, like calculating totals and averages, there is no data processing more suitable than batch processing.

Click here to learn more about batch processing

Stream processing: Stream processing has become the current trend in the big data world. The modern business era is about speed and real-time information, which is what steam processing is the most suitable for. Since batch processing does not allow businesses to react to changing business conditions in real time, stream processing has witnessed a rapid rise in demand in past few years.

Although stream processing systems can also handle vast amounts of data, they operate over one or micro batches at a time. According to Mike Gualtieri, an analyst at Forrester Research, “With traditional analytics you gather information, store it and do analytics on it later. We call that at-rest analytics.” However, streaming technologies allow analysis of a series of events that have just happened. “It could be a piece of farm equipment that has a lot of sensors on it emitting data on temperature and pressure. You want to analyze that in real-time to see if there is a risk of the engine blowing up.”

Click here to take a deep-dive into stream processing of big data

Hybrid Processing: Hybrid processing is nothing, but the capability of a processing system to perform both batch processing and stream processing.

Comparison Between Apache Hadoop and Apache Spark

Data Processing

Hadoop: Apache Hadoop provides batch processing. In fact, Hadoop was the first framework that created ripples in the open-source community. Google’s revelation about how they were working with vasts amounts of data helped Hadoop developers a great deal in creating new algorithms and component stack to improve access to large scale batch processing.

MapReduce is Hadoop's native batch processing engine. Several components or layers (like YARN, HDFS etc) in modern versions of Hadoop allow easy processing of batch data. Since MapReduce is about permanent storage, it stores data on disk, which means it can handle large datasets. MapReduce is scalable and has proved its efficacy to deal with tens of thousands of nodes. However, Hadoop’s data processing is slow as MapReduce operates in various sequential steps.

Image result for realtime processing with spark

Image source: zData Inc

Spark: Apache Spark is a good fit for both batch processing and stream processing, meaning it’s a hybrid processing framework. Spark speeds up batch processing via in-memory computation and processing optimization. It’s a nice alternative for streaming workloads, interactive queries, and machine-based learning. Spark can also work with Hadoop and its modules. The real-time data processing capability makes Spark a top choice for big data analytics.

Resilient Distributed Dataset (RDD) allows Spark to transparently store data on memory, and send to disk only what’s important or needed. As a result, a lot of time that is spent on the disc read and write is saved.

Ease of Use

Spark is easier to use than Hadoop as it comes with user-friendly APIs for Scala (its native language), Java, Python, and Spark SQL. Hadoop, on the other hand, is written in Java, difficult to program and requires abstractions. Since Spark provides a way to perform streaming, batch processing and machine learning in the same cluster, users find it easy to simplify their infrastructure for data processing.

An interactive REPL (Read–eval–print loop) allows Spark users to get instant feedback for the commands. Although there is no interactive mode available with Hadoop MapReduce, tools like Pig and Hive make it easier for adopters to work with it.

Graph Processing

Hadoop: Most processing algorithms, like PageRank, perform multiple iterations over the same data. MapReduce reads data from the disk and after a particular iteration, it sends results to the HDFS and then again reads the data from the HDFS for next iteration. Such a process increases latency and makes graph processing slow.

In order to evaluate the score of a particular node, message passing needs to contain scores of neighboring nodes. And, these computations require messages from it neighbors, but MapReduce doesn’t have any mechanism for that. Although there are fast and scalable tools, like Pregel and GraphLab, for efficient graph processing algorithms, they are not suitable for complex multi-stage algorithms.

Spark: Spark comes with a graph computation library called GraphX to make things simple. In-memory computation coupled with in-built graph support allows the algorithm to perform much better than traditional MapReduce programs. Netty and Akka make it possible for Spark to distribute messages throughout the executors.

Fault Tolerance

Hadoop: Hadoop achieves fault tolerance through replication. MapReduce uses TaskTracker and JobTracker for fault tolerance. However, TaskTracker and JobTracker have been replaced in second version of MapReduce by Node Manager and ResourceManager/ApplicationMaster, respectively.

Spark: Spark uses RDD and various data storage models for fault tolerance by minimizing network I/O. In the event of partition loss of an RDD, the RDD rebuilds that partition through the information it already has. So, Spark does not use the replication concept for fault tolerance.

Security

Hadoop MapReduce has better security features than Spark. Hadoop supports Kerberos authentication, which is a good security feature but difficult to manage. Hadoop MapReduce can also integrate with Hadoop security projects, like Knox Gateway and Sentry. Third party vendors also allow organizations to use Active Directory Kerberos and LDAP for authentication. Hadoop’s Distributed File System is compatible with access control lists (ACLs) and a traditional file permissions model.

Spark’s security is currently in its infancy, offering only authentication support through shared secret (password authentication). However, organizations can run Spark on HDFS to take advantage of HDFS ACLs and file-level permissions.

Costs

Both Hadoop and Spark are open-source projects, therefore come for free. However, Spark uses large amounts of RAM to run everything in memory, and RAM is more expensive than harddisks. Hadoop is disk-bound, so saves the costs of buying expensive RAM, but requires more systems to distribute the disk I/O over multiple systems.

As far as costs are concerned, organizations need to look at their requirements. If it’s about processing large amounts of big data, Hadoop will be cheaper since hard disk space comes at a much lower rate than memory space.

Compatibility

Both Hadoop and Spark are compatible with each other. Spark can integrate with all the data sources and file formats that are supported by Hadoop. So, it’s not wrong to say that Spark’s compatibility to data types and data sources is similar to that of Hadoop MapReduce.

Both Hadoop and Spark are scalable. One may think of Spark as a better choice than Hadoop. However, MapReduce turns out to be a good choice for businesses that need huge datasets brought under control by commodity systems. Both frameworks are good in their own sense. Hadoop has its own file system that Spark lacks. And, Spark provides a way for real-time analytics that Hadoop does not posses.

Have you ever got a chance to use any of the two frameworks for big data applications? Do you think Spark can replace Hadoop in the future? As always, your views are vital for all our readers, please share them in the comment box below.
Last modified on
Hits: 30630
0

1-w2AfJ4MoXPfJ-ubqtodrPg.jpeg

Microsoft Azure and Amazon AWS are two big names in the cloud computing world. Given the several benefits offered by the cloud - on-demand scalability, reduced costs, effective operations - many businesses, regardless of their sizes, have already started moving towards it. If you are also planning to move your business to the cloud, Microsoft Azure and Amazon AWS are certainly two big players to choose from. Below, I am offering a detailed comparison between the two heavyweights of cloud services, so that it becomes easier for you to choose your niche.

Microsoft Azure vs Amazon AWS: Cloud Comparison

Image result for AWS and AZure cloud computing

Image Source: 123RF.com

Before we begin understanding the distinction between Azure and AWS, let’s take a glimpse into their history.


AWS: Amazon Web Services, a subsidiary of Amazon.com, was launched in 2006, with the aim of providing an array of cloud computing services to help companies benefit from on-demand computing platform. AWS is currently located in 15 geographical regions, and plans are afoot for three more regions in India, China and United Kingdom by 2017.


With more than 70 services on offer, including compute, storage, networking, database, analytics, application services, deployment, management, mobile, developer tools and tools for the Internet of things, AWS holds a substantial lead over Azure.


Azure: Microsoft launched Azure in 2010, originally with the name Windows Azure, to provide businesses a cloud computing platform. It was renamed in 2014 as Microsoft Azure, which offers around 50 cloud services today, including compute, analytics, storage, networking and features targeted at the Internet of Things. Microsoft Azure enables building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. As of now, Azure is located in 30 regions around the world and is gearing up to be available at 8 more geographical regions.

Let’s Compare the Features and Services of these Two Giants of Cloud Computing

#1 Compute


AWS: For compute, AWS offers Elastic Compute Cloud (EC2), which is an IaaS service and provides scalable computing on-demand. AWS also offers Elastic Beanstalk, a PaaS service, for app deployment. Other related services you can avail from AWS are EC2 Container service, AWS Lambda and Autoscaling.


Azure: Virtual machines are pivotal to Azure’s compute offering, which mainly involves IaaS. Azure also offers Cloud Services for PaaS to deploy highly-available, infinitely-scalable applications and APIs.


Azure’s Resource Manager helps manage and visualize resources in your app, whereas Web Apps enables customers to create and deploy scalable web apps that are supported by Windows and Linux platforms. With Azure, developers can build sites using PHP, ASP.NET, Node.js, or Python, or select from several open source applications from a gallery to deploy.

#2 Networking

Both Azure and AWS are excellent choices as far as their networking capabilities are concerned. Amazon’s Virtual Private Clouds (VPCs) and Azure’s Virtual Network (VNET) let users to group VMs into isolated networks in the cloud. Besides, a user can define a network topology, create subnets, route tables, private IP address ranges, and network gateways.


With Azure, users can connect VNETs to on-premises data centers via site-to-site VPN networks or Azure ExpressRoute. AWS also allows to establish a VPN connection between your corporate datacenter and your VPC. Both Azure and AWS are equally good for their networking capabilities and allow to extend your on-premise data center into the public (or hybrid) cloud.

#3 Storage

AWS: Storage is an inextricable part of cloud services. Amazon offers Simple Storage Service (S3) for storage. AWS gets edge over Azure Storage service due to extensive documentation, including free webinars, tons of sample code and libraries, articles and tutorials. Besides, its discussion forums are very active and help users seek benefits from useful feedback provided by Amazon developers on a regular basis.


Other storage services offered by AWS include Elastic Block Storage (EBS), Elastic File System (EFS), Import/Export large volume data transfer service, Glacier archive backup and Storage Gateway, which integrates with on-premise environments.


Azure: Azure also offers Block Storage and Object Storage through blob storage, which includes page blobs and block blobs. Azure competes with Amazon’s EBS by offering page blobs that provide persistent block storage. On the other hand, Azure’s block blobs provide object storage, much similar to Amazon’s S3 service. Azure uses a flat architecture to store all the data in a single container with tags and metadata that allow identification, retrieval and manipulation of data.


Azure’s File Storage is an answer to Amazon’s EFS as it also provides a continuous availability storage option. With Azure, you can share File Storage among multiple VMs so that there is no hassle in running critical cloud applications. Also, it allows to share data between local and cloud servers.

Storage Options

Azure Storage

(Blobs, Tables, Queues Files)

Amazon Simple Storage (S3)

Block Storage

Azure Blob Storage

Amazon Elastic Block Storage (EBS)

Hybrid Cloud Storage

StorSimple

AWS Storage Gateway

Backup Options

Azure Backup

Amazon Glacier

Storage Services

Azure Import Export

Azure File Storage

Azure Site Recovery

Amazon Import/Export

AWS Storage Gateway


#4 Databases


Both AWS and Azure support relational and NoSQL databases.


AWS: A wide range of managed databases, including SQL Server, MySQL, ProgreSQL, Oracle and MariaDB, are available from Amazon’s Relational Database Service (RDS) and Redshift. AWS also offers Database Migration Service, which allows customers to move on-premise relational data to the cloud. For NoSQl databases, AWS offers DynamoDB, which offers high scale, low cost document and key-value storage.


Azure: Azure’s SQL Database supports relational database based on SQL Server. A very few changes are sometimes required to migrate from on-premise SQL Server to SQL Database. Recent addition of Elastic database pools allows customers to save costs by running multiple databases against the same set of resources.


For NoSQL, Azure offers DocumentDB, which is a high performance, highly available document database.

#5 Big Data and Analytics

Image result for big data and analyticsImage source: WordPress.com

AWS: AWS allows processing of vast amounts of data they store. AWS Elastic MapReduce (EMR), a managed Hadoop, Spark and Presto solution, is indispensable to Amazon’s analytics offerings. EMR allows integration with various AWS services, including S3 and DynamoDB. AWS Data Pipeline makes it possible to move, copy, transform and enrich data.


Data Pipeline is well capable of reading and writing data from most AWS storage services. For data processing activities, it supports EMR, Hive and Pig. AWS offers Kinesis Streams for real-time analytics and QuickSight for making sense of data through dashboards and data visualisations.


Azure: Azure offers Cortana Intelligence and HDInsight, which comes with Hadoop, Spark, Storm or HBase. HDInsight also works well with blob storage or Data Lake Store. For data processing pipelines, Azure offers a data orchestration service Data Factory.


Azure Data Lake Analytics is a serverless hyper-scale data storage and analytical platform. It performs analytical jobs without the need of provisioning or managing computer clusters, and is also designed to access data in Blob Storage, SQL Database and SQL Data Warehouse. Azure offers Streamline Analytics for real-time data processing and Power BI for dashboards and visualisations.

#6 Internet of Things (IoT)

For IoT, there is a need of platform that allows communication between devices over the internet. Also, it’s essential to handle large pileup of data without security breaches.


AWS: AWS IoT allows building complete IoT solutions. So, devices can communicate with applications that run in the cloud over HTTP, MQTT and WebSockets. A declarative rules engine allows AWS IoT to transform and send IoT traffic to S3 bucket or Lambda function. Besides, AWS IoT can route data to Kinesis Streams in order to run real-time analytics via applications written using the Kinesis Client Library.


Azure: Azure offers IoT Hub that supports AMQP, MQTT, and HTTP. Though, Event Hubs scores higher when it comes to basic large scale device telemetry ingestion. It can consume a huge volumes of messages over AMQP and HTTP.


For real-time analysis of device data, you can use Event Hubs with Azure Stream Analytics. What separates Azure from AWS and others is data streaming to Apache Storm, a popular open source streaming analytics platform. Microsoft has also announced Windows 10 IoT core, a concise version of Windows 10, to run specifically on IoT devices.

#7 Mobile Services

Since People are now spending more time on smartphones to access the internet than PCs, the cloud could play an important role in empowering developers to build and operate modern mobile apps.


AWS: AWS offers Mobile Hub to allow mobile development for Android and iOS. AWS also offers a wide range of services required to create mobile applications, including authentication (Cognito), content delivery (CloudFront and S3), push notifications (SNS), data storage and synchronisation (S3), analytics (Mobile Analytics) and access to backend compute such as Lambda. AWS Mobile SDK allows developers to build apps from scratch and is compatible with iOS, Android, Fire OS, .NET and Xamarin.


Azure: Azure offers Mobile Apps to support backend solution. Mobile Apps is a client SDK that opens doors for developers to build rich mobile solutions. Users can use Functions for serverless mobile backends and Notification Hubs for push notifications. You can also set up and sync to a SQL Database without writing any server side code, thanks to Azure Easy Tables. DevOps for Mobile application development is also available through Azure HockeyApp.

#8 Open Source

Azure was not available for open source shops until recently as Microsoft didn't have the history of having a good relationship with the open source community. However, Microsoft has finally made a big strategy shift to allow users to run Red Hat Enterprise Linux and Apache Hadoop clusters. Amazon, on the other hand, has never had problems with the open source community, and has been Linux-friendly from the beginning, a factor that has helped AWS get a significant lead over Azure.

Image result for market share of aws and azure

Image source: Skyhigh Networks

AWS has become popular for the flexibility it offers to its customers, allowing them to pick and choose and build the cloud services they need. With AWS, customers get a plethora of product choices, but they sometimes find it hard to navigate through AWS complex features.


Microsoft Azure, on the other hand, has adopted an approach that is slightly different from AWS. It offers customers a stack of products that are simple to use. Their products are easier to navigate when compared to that of AWS, for an obvious reason - Azure does not offer as many products as AWS does.


Both AWS and Azure offer almost similar services when it comes to compute, storage, networking and databases. Pricing is not a big factor to taken into account when choosing between the two as both offer competitive pricing. So, you better decide your vendor based on your company requirements. It’s true that most cloud services are available from Amazon, but Microsoft Azure seems to be a better choice for a hybrid approach. Amazon is a veteran player in the game and offers a nice suite of cloud computing services. But Microsoft Azure can’t be completely ruled out as it continues to come up with new developments to not only match but surpass the pace of all the big players in the market, including Google.

What you think about the future of cloud computing? Which among the two cloud giants is your favorite? Please share your views in the comment box below.

Last modified on
Hits: 126273
0
Product Engineering, software engineering company, Product Development, Product Migration, Product Re-engineering, Product Maintenance, Product Testing Commercial Application Development, Business Software development, commercial software for startups, Application Support and Maintenance, software testing Product Maintenance, Outsource product maintenance, product support and maintenance Product Migration, Product Re-engineering, product re-engineering services Product Research, Product Engineering, UI Prototyping Services Software Testing Services, Quality Assurance services, professional software testers, Load Testing, Functional Testing, Cross Platform, Browser Testing, Test Automation, Testing Tools, software quality analysis Functional Testing Services, software quality analysis, Software Testing Services, Application Testing Services, Functional Testing Types Automated Testing, Automated Testing Services, automation testing, test script development, Automation Test Tools, outsource automation testing Load Testing, Performance Testing Services, Load Testing Tools Offshore Software Development, Outsource software services, offshore outsourcing services, offshore software development services, IT outsourcing services, software quality assurance services, Offshore IT services, Custom Application Development Services, Offshore Product Engineering Benefits of IT Outsourcing, Offshore Software Development companies, offshore software development firms Outsource planning, IT outsourcing, IT development services, offshore IT companies, offshore software development Offshore Software Development, Outsource software services, offshore outsourcing services, offshore software development services, IT outsourcing services, software quality assurance services, Offshore IT services, Custom Application Development Services, Offshore Product Engineering Offshore Software Development, Outsource software services, offshore outsourcing services, offshore software development services, IT outsourcing services, software quality assurance services, Offshore IT services, Custom Application Development Services, Offshore Product Engineering