The What and the Whys of Data Storage on Cloud

In today’s era organizations are trying hard to target customers based on niche interests, community affiliation, and even personal search history, data has become the new untapped resource. Being able to cross-reference data and make sense of it by finding patterns is where the skill of customer relations comes in. Through this process, data can turn into valuable insights, and the lumpy diamond can turn into a sparkling stone.

But, the game gets a hell lot of difficult especially when it comes to extracting insights from clients and when your organization doesn’t have the storage capacity to hold it all. Furthermore, as an organization you need the bandwidth capacity to be able to go in and crunch these numbers in an efficient fashion, allowing you to see the trend lines that enable you to pivot strategy accordingly.

Thanks to the popular cloud storage, one of the hottest property in the data market today, it is changing the way we access data.

 What exactly is Cloud Storage?

According to Webopedia , Cloud storage is defined as “the storage of data online in the cloud,” wherein a company’s data is stored in, and accessible from multiple distributed and connected resources that comprise a cloud.

Cloud storage can provide the benefits of greater accessibility and reliability; rapid deployment; strong protection for data backup, archival and disaster recovery purposes; and lower overall storage costs because of not having to purchase, manage, and maintain expensive hardware.

The most important thing about storing all the data in the cloud, is that it guarantees affordability and the data can be easily accessed from anywhere in the world. Additionally, there are four major types of cloud storage types:

  1. Personal cloud storage – Services that enable individuals to store data and sync it across multiple devices.
  2. Public cloud storage – A cloud storage provider fully managing data for an enterprise offsite.
  3. Private cloud storage – A cloud storage provider working on-premises at an organization’s data center.
  4. Hybrid cloud storage – A mix of public and private cloud storage.

 How it works

When you upload a file to the internet and that file is there for an extended period, it is considered as cloud storage. Furthermore, if you want, you can upload something to the server and it comes with the ability to retrieve.

Most cloud storage services allow you to upload all types of files: pictures, music, documents, videos, or anything else. However, some are restricted to accepting only certain kinds of files, such as only images or music. Cloud storage services are usually fairly clear about what’s allowed and what’s not.

Working with a cloud storage service has many advantages, let’s look at some of the major advantages it offers:

Why Data Storage in Cloud?

  1. Automation at its best!

Today most of the organizations face issues of creating data backups and scheduling the backup in such a manner that daily operations aren’t hindered. Cloud storage changes this scenario, as the lackluster task of data backups is simplified through automation. You just have to select what you want to backup, when you want it, and your cloud storage will take care of the rest.

1.  Disaster Recovery

Once your data is on the cloud, you can access it from anywhere with any device, provided you have an internet connection. Hence, your files stay accessible to you irrespective of system crashes, computer viruses, or device theft.

2.  Easy Synchronization

You can only access your data from a certain location while accessing local file storage. With cloud storage, daily devices can be your access points like your PC and your smartphone. Accessing files and synchronizing them can be done effortlessly with any device through an internet connection. The files stored in the cloud storage remain the same across all the devices and are updated after making any changes almost automatically.


It is quite clear that cloud backups are an excellent option for providing additional redundancy and security for organizations that want to ensure their important data is available if and when onsite or physical data disasters strike. Without a doubt, cloud storage provides you with the effectiveness of copying, sharing, storing, and protecting private records at all times.

Selecting the service that suits your requirements can be difficult for someone who does not have adequate knowledge about data storage on cloud. This is where Nitor come to your rescue by providing you the details which you need to know before choosing the service that justifies your purpose. We have helped many organizations with data storage on cloud and find solutions that are right for them. To know more do drop us a mail at

Hadoop & Spark: The Best of both worlds

Data is growing faster than ever. Various sources of data are public web, social media, business applications, data storage, machine log data, sensor data, archives, documents, and media, and the sources are growing. Big data analytics is the process of examining large amount of data to determine hidden patterns, unknown correlations and useful information that can be used for making better decisions.

The ultimate aim of big data analysis is to help the organizations make improved business decisions by enabling data scientists, predictive modellers, and analytics professionals to analyse Big Data. Hadoop & Spark the two big data framework have become the dominant paradigm for Big Data processing, and several facts have become clear. Although, they do not conduct exactly the same tasks, and they are not mutually unique, they are able to work together. Additionally, Spark is reported to work up to 100 times faster than Hadoop in certain circumstances, as it does not provide its own distributed storage system.

So what exactly are Hadoop & Spark?

Apache Spark is considered as a robust foil to Hadoop, Big Data’s original technology of choice. Spark is easily manageable, strong and capable Big Data tool for tackling various Big Data challenges.

It is built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing.

The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application.

Apache Spark Architecture is based on two main abstractions

  • Resilient Distributed Datasets (RDD)
  • Directed Acyclic Graph (DAG)

Apache Hadoop, is a known software framework enabling distributed storage and processing of large datasets using simple high-level programming models. Hadoop is pretty commonly used and is known for being a safe Big Data framework based on a lot of, mostly open source algorithms and programs.

Hadoop is built on four fundamental modules, precise parts of framework that carry out different essential tasks for computer systems meant for Big Data analysis.

  • Distributed File systems
  • MapReduce
  • YARN
  • Hadoop Common

Besides these four core modules, there is a plethora of others, but for full deployment, these four are essential. Hadoop represents a very solid and flexible Big Data framework.

Let’s see how Hadoop & Spark are fast becoming the next big thing in Big Data.

1. Spark makes advanced analytics innovative

Spark delivers a framework for advanced analytics right out of the box. This framework includes a tool for accelerated queries, a machine learning library, a graph processing engine, and a streaming analytics engine. As opposed to trying to implement these analytics via MapReduce, which can be nearly impossible even with hard-to-find data scientists, Spark provides prebuilt libraries that are easier and faster to use.

2. Spark provides acceleration at its best

As the pace of business continues to accelerate, the need for real-time results continues to grow. Spark provides parallel in-memory processing that returns results many times faster than any other approach requiring disk access. Instant results eliminate delays that can significantly slow incremental analytics and the business processes that rely on them.

Hadoop on the other hand, is like an old sturdy warrior. It is one of the most used data storing and processing systems and is used by some of the corporate giants in various different markets.

3. Hadoop saves you money

Hadoop serves as low-cost Big Data processing framework. Hadoop is relatively cost-effective because of its seamless scaling capabilities. Hadoop is quite scalable as it distributes very large data sets amongst inexpensive servers. It relies on parallel operations, and this makes it quite profitable.

4. Hadoop is future-proof

Hadoop is simply fault resistant. When it sends data to a particular node in a cluster, it allows for the sent data to be replicated to other nodes in the cluster. So, when the data sent to the node, somehow gets lost, or destroyed, there is a copy available on the other node that can be used.


The general perception is that what makes Spark stand out when compared to Hadoop is its speed. While Hadoop focuses on switching and transferring data through hard disks, Spark runs its operations through memory. Working through logical RAM increases the speed quite significantly, so Spark can handle data analysis faster than Hadoop. Both frameworks have their own advantages and choosing the best can only be dependent on what are you looking for.

We at Nitor are proud to help organizations capitalize on the tremendous potential of Hadoop and Spark. We help you manage and secure your data to derive solid, measurable, data-backed recommendations.

To know more please contact us at

Power BI – Data insights for smarter decision making on the go!

Today’s organizations are mostly find it difficult to harness insights from their data. Gaps exist between inferring a trend or identifying a correlation and using those data-driven insights to provide business value. Access to quick information to make balanced decisions is one of the most important differentiators across any industry. However, we must understand that real power does not lie in the data and information itself, the key lies in changing those Petabytes of data into some valuable products and services. One such tool, Power BI can make a difference.

Power BI is not a new name in the BI market. Components of Power BI have been in the market through different time-periods. The Microsoft team has worked a long time to build a big umbrella called Power BI. With Power BI, you can connect many data sources, e.g. wide range of data sources can be supported, and more data sources can be added to the list every month.
So what exactly is Power BI?

Power BI is a cloud based analytics tool used for reporting and data analysis encompassing a wide range of data sources. It is easy to use and user friendly for business analysts and power users can work with it and get perks out of it. Additionally, Power BI is robust and mature enough to be used in enterprise systems by BI developers for complex data mash-up and modelling scenarios.


Benefits of Power BI 

  • Quick to Deliver

Achieve in a few days / weeks what could take months to deliver using traditional BI tools

  • Easy to Connect with Databases

Use out of the box connectors to fetch data from varied data sources (Structured, unstructured and columnar)

  • Faster Decision making

Address business problems / questions at your fingertips in minutes

  • Ease of Development & Usage

Develop reports by defining relationships on the fly without the technical team’s support

  • Value for Money

Experience the most rapidly deployable, customizable, and comprehensive tool.

 Do we really need BI?

In some cases you might think- “Is there a requirement for BI tools in my organization?” or “How can BI Tools help us make choices valuable to the organization?”

When it comes to productive business intelligence training in any company, one can develop the decision-making processes and can even improve processes such as tactical strategic management.

Obtaining key insight into customer’s behaviour

One of the main rewards of having a BI platform in the company is having the power to look into what exactly the market is purchasing, what is in-demand or what is not. With Power BI, we can then transform such information into profitable insights and get a hold on to valuable clients.

 Acquiring important business reports

With the aid of business intelligence software, any associate of the company can access important data for utilization from anywhere across the world.

Removing guess works

Gone are the days when business is thought to be another form of betting, when there were no different choices other than making “the ideal guess”. With the assistance of the Power BI tool, one can have precise information, real time updates, and means for determining and even to foresee conditions.

A Smarter Solution

Power BI is a cloud-based tool that requires no capital expenditure or infrastructure support upfront. The modern repetition of the tool is free from legacy software constraints and its users do not need any particular training in order to produce business intelligence insights. Typical of all Microsoft cloud services, implementation of Power BI embedded is rapid and trouble-free.


Since the key to great decision making is the ability to blend the overwhelming volume of incoming information, Power BI is the ultimate panacea for it. It has transformed the method in which businesses leverage data to solve their problems, share insights, and make knowledgeable judgements. Power BI integrates seamlessly with the existing applications and extracts intelligence rapidly and accurately.

Are you contemplating implementation of Business Intelligence or looking to extend Power BI functionality across all business units in a self-service manner? If you are then, Nitor, a Microsoft partner can help you set up your Power BI account optimally enable you to integrate and work seamlessly with Power BI.

For more information, please contact

DevOps: Plan smarter, collaborate better and deliver faster

Modern market is a thing full of twists and turns at every corner, that requires flexibility and ability to adapt to the ever-changing state of things. “Agility” is the word that best describes what it takes to be competitive in the modern world.

Your organization simply won’t get anywhere if you aren’t ready to adjust according to the situation and bend it to your benefit. It is true for most industries, but especially so in software development. In order to be the best at what an organization can achieve, there are tons of things, which need to come to the fore. The higher the networking capability between the employees, the greater the efficiency of the apps and tools used within the organization. Many have asked how their transformations could be taken further.

By adopting DevOps practices, agile organizations can further enhance the efficiency, agility, and quality of their development sprints. That bring us to the question, what exactly is DevOps? In addition, how important is it for your company?

What is DevOps?

DevOps is the combination of cultural philosophies, practices, and tools that increase an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.

The Necessity of the DevOps approach

The world of IT is changing fast. Requirements change very often, and software must be developed at an ever increasing pace. Not only must software and web applications be marketed faster, but it must also be possible to constantly update them, easily add new features and fix any bugs found. This leads to the Agile Development model.

However, the team of developers should not be the only ones to react quickly and efficiently. The operational team, which has to deploy and monitor the new applications, should also react the same way. This leads to the DevOps approach.

The Motivation behind the practices:

The traditional silos between developers, testers, release managers and system administrators are broken down. They work more closely together during the entire development and deployment process, which enables them to understand each other’s challenges and questions better.

The DevOps approach thus requires people with multidisciplinary skills – not only people who are comfortable with both the infrastructure and configuration, but also those who are capable of performing tests and debugging software. DevOps is a bridge builder; it is for those who are skilled in every field.

Some of the common motivating factors are:

  1. Extremely high deployment time sometimes as much as 24 hours or even more
  2. Enormous Application Downtime
  3. Extended wait time for smaller fixes
  4. Tedious process of replicating environment
  5. Automating and streamlining software development
  6. Automating infrastructure management processes
  7. Automating monitoring and analysis
  8. Very frequent but small updates
  9. Considerable reduction in time to market
  10. Micro-services architecture to make applications more flexible and enable quicker innovation

DevOps may be essentially disruptive, but it is here to stay because it is a very practical and can be a valuable asset for organizations. Let us look at some of the benefits DevOps provide:

  1. Rapid Time-to-Market

Improved business agility is one of the fundamental gains of implementing DevOps. Reducing the time between development and launch phases will enable your business to generate competitive advantage – by rolling out new features to customers at much higher frequencies – and drastically lower the time it takes to respond to failures.

  1. Improved collaboration between teams

In the past there were no links between developers and operations, innovation was carried out in seclusion, making things all the more elusive and secretive. However, as times have changed, so have the methods of performing innovation. DevOps not only brings key concepts and tools to create automated workflows for a system’s development life cycle (SDLC); it also allows integration of team collaboration tools to these workflows.

  1. Security

While DevOps does not require the use of any specific type of tool, DevOps teams tend to favor next-generation architectures and technologies, like micro-services and containers. These help to make apps more secure by reducing attack surfaces and enabling quicker reaction. If you deploy your app using containerized micro-services, it becomes harder for attackers to compromise your entire app, because an attack against one micro-service does not give them control over the other ones.

  1. Quicker Deployment

If your business has successfully launched DevOps, it is getting ready for the next level of deployment. Through the right approaches, an organization can benefit by deploying their new systems in a more enhanced, efficient manner, while keeping the efficiency intact. This way, innovation and continual deployment becomes synonymous with each other, thereby making the deployment easier and quicker.

The above-mentioned benefits are some of the most important ones out of the many that DevOps has to offer. With so many benefits being achieved through DevOps, there is no denying the fact that DevOps is the future of the production cycles.

After reading all this you must surely be thinking – How to get started?

Developing a DevOps culture requires planning.  These tips can help you develop a DevOps mindset:

  1. Think about how you want your web team to operate over a period of 12-18 months.
  2. Examine your current work processes and ask yourself (and your team!) what can be improved, and what the risks are.
  3. Encourage your teams to have their say: How do they think that the processes could be realistically improved?
  4. Feel free to share your conclusions and your plans with other units: cross-functional teams can be involved in your entire organization to improve efficiency!

Don’t worry, we at Nitor can get you started by offering you our DevOps assessment tool. The tool would primarily assess your maturity in terms of DevOps processes, your key pain areas and then come up with few recommendations, which could make a lot of difference in how your projects work. Nitor can assist you in all ways possible to achieve a mature and robust DevOps Model.

To learn more click on the link and start with your DevOps Assessment  –

To know more about Nitor and DevOps services email  us at

Reactive Programming – Tame the complexity of asynchronous coding

So, you have caught wind of reactive programming, RXjava, responsive extensions and all the promotion around them but you’re not able to get your head around them. You do not know if they are a solid match for your project; whether you should begin utilizing them and where to begin learning. Let’s try to make this easy and simple for you.

With an explosion in both the volume of internet users and the technology powering websites over the years, reactive programming was born as a way of meeting these improved demands for developers. Of course, app development is just as important now and reactive programming is as vital a component in that sphere too.

What is Reactive Programming?

Reactive programming is programming with asynchronous data streams, to be specific, make it responsive. Typical click events are actually asynchronous event streams, on which you can observe and create side effects to make the code easily readable. With Reactive, you are able to create data streams out of anything, not just from events or AJAX calls or Event Buses. To sum up, Reactive programming runs asynchronous data flows between sources of data and components that need to react to that data.

Diagram: RX Observables

Why is being ‘Functional’ important?

Functional reactive programming (or FRP for short) is an asynchronous programming paradigm that allows data flows from one system component to propagate the same changes to other components that have been registered to accept them. Compared to previous programming paradigms, FRP makes it simple to express static or dynamic data flows via the programming language. It came into existence because modern apps and websites needed a way of coding that provided fast, user-friendly results.

On top of the streams, we have an amazing toolbox of functions to combine, create and filter any of those streams. This is when the “functional” thrill kicks in; a stream can be used as an input to another one. In addition, multiple streams can function as inputs to other streams. Furthermore, you can merge two streams and filter a stream to get another one that has only those events you are interested in. You can also map data values from one stream to another new one.

What are the benefits?

There are many reasons why you should use reactive programming as a business or developer.  Some of the most common ones are:

Why use reactive programming?

  1. Asynchronous operations
  2. Smoother UI interactions
  3. Callbacks with Operator Chaining, without that notorious “callback hell”              
  4. Easier complex threading with hustle free concurrency

It is quite clear Reactive programming composes asynchronous operations making smooth UI interactions; here are some of the major benefits you should know:

How does it benefit you?

  1. Enhanced user experience – This is at the very heart of why you should be using reactive programming for your apps or websites. The asynchronous nature of FRP means that whatever you program with it will offer a smoother, more responsive product for your users to interact with.
  2. Easy management – One big bonus with reactive programming is that it is easy to manage as a developer. Blocks of code can be added or removed from individual data streams, which means, you can easily make any amendments via the stream concerned.
  3. Simpler than regular threading – FRP is actually less of a hassle than regular threading due to the way it allows you to work on data streams. Not only is this true for basic threading in an application but also for more complex threading operations, you may need to undertake.

What are the challenges?

While reactive programming is a great tool for developers to use, it does have a couple of challenges to overcome:

  1. Hard to learn – In comparison with the previous ways of working, RP is quite different. This leads to a steep learning curve when you start using it, which may be a shock to some.
  2. Memory leak – When working this way, it can be easy to handle subscriptions within an app or a site incorrectly. This can lead to memory leakage, which could end up seriously slowing things down for users.

In conclusion

Reactive Programming is not easy, and requires tremendous learning, as you will have to move on from imperative programming and begin thinking in a “reactive way”. In a scenario where the code already addresses the issues properly, reactive programming can provide major lines-of-code savings.

We at Nitor believe that Reactive programming brings smoother & quicker programming results and makes user interaction much better. Naturally, this converts into happier customers and more sales for your business.

For more information, please contact

WebAssembly – Smart technology platform on the block

Since the last decade, JavaScript has been unable to ease the developer burden due to its dynamic nature. Furthermore, for applications in which performance is critical, Javascript is not fast enough. For areas in which significant engineering effort is required in another language, it may not make sense to convert to JavaScript.

Clearly, the need of the hour was to get a cutting-edge technology platform. Technologists found the answer in June 2015, when engineers on the WebKit project, along with Google, Microsoft and Mozilla announced that they were launching WebAssembly. WebAssembly is a new binary format for compiling applications from the web. The idea behind launching WebAssembly was to make it portable bytecode, which can be effective for browsers to download and load.

So what exactly is WebAssembly?

According to, WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed to be a portable target for the compilation of high-level languages like C/C++/Rust, enabling deployment on the web for client and server applications. Following are the features of the WebAssembly:

  • Fast Execution
  • Useful in CPU-intensive operation
  •  Support for old & new Browsers
  • Secure

WebAssembly is still new, but it is supported in all major browsers such as Chrome, FireFox, Edge, Safari, etc.  Additionally, legacy browsers can be supported with the help of Asm.js. Below is the representation of how WebAssembly works.

                    (Source of the Diagram:

WebAssembly is a relatively new technology. As a result, creating complex applications using this language can be challenging. To understand it better, here are some of the key WebAssembly concepts you need to remember:

  • Module

Represents a WebAssembly binary that has been compiled by the browser into executable machine code.

  • Memory

A resizable array buffer that contains the linear array of bytes read and written by WebAssembly’s low-level memory access instructions.

  • Table

A resizable typed array of references (e.g. to functions) that could not otherwise be stored as raw bytes in Memory (for safety and portability reasons).

  • Instance

A Module paired with all the state it uses at runtime including a Memory, Table, and set of imported values.  An Instance is like an ES2015 module that has been loaded into a particular global with a particular set of imports.

In some ways, WebAssembly gives more power to the web developer. In addition, it changes the dynamics of the web, giving that additional advantage due to its near-native speed.

Some of the advantages include:

Effective and Rapid

WebAssembly performs at native speed by taking advantage of common hardware capabilities accessible on various platforms. The Wasm stack machine is structured to be encoded in a size- and load-time-efficient binary format.


Likewise, Javascript, Wasm describes a memory-safe, sandboxed execution environment. However, WebAseembly can enforce the same-origin and permissions security policies of the browsers once embedded in the web.

Open and Debuggable

WebAssembly is designed to look attractive while having a textual format for debugging, testing, experimenting, optimizing, learning, teaching, and writing programs. The textual format will be used when viewing the source of Wasm modules on the web.

Part of the open web platform

WebAssembly is designed to maintain the versionless, feature-tested, and backward-compatible nature of the web. WebAssembly modules will be able to call into and out of the JavaScript context and access browser functionality through the same Web APIs accessible from JavaScript. WebAssembly also supports non-web embedding.

While everyone is very optimistic about the current state of WebAssembly, there are people who are not well versed with its concepts. Here are some important points, which will help you understand WebAssembly better:

Be very clear that WebAssembly is not Java Applet/Active x, which are plugins. The browser natively supports WebAssembly and it is executed by the same virtual machine, which executes JavaScript. It runs in the same sandbox environment as JavaScript runs. Furthermore, WebAssembly is not a security risk. If you do not consider JavaScript as a security risk, then you should not be worried about WebAssembly as it runs on the same sandbox.

Most importantly, you should know that WebAssembly can not fully manipulate the DOM. It cannot directly access the DOM, but it can call out into JavaScript, and JS can then work on the DOM. Also, lot of people are keen on knowing which languages WebAssembly supports. Currently WebAssembly supports c and c++. Rust is also supporting Webassembly. There are also open source projects, which will add support for garbage collected languages such as C# and Java. Blazor is one such project that enables the development of WebAssembly through c#.


WebAssembly is a promising technology. It is web standard and supported by the most browsers. Nitor’s developers have started taking advantage of this technology where performance is critical. Obviously, there are some limitations for now but as technology evolves, they can be overcome.

Nitor thinks WebAssembly is going to do more of what a modern web browser already does: It is turning out to be a proper, cross-language target for compilers, aiming at supporting all necessary features for making a great all-round platform.



DevOps is the new buzzword of the day. Agile software development used to be the main philosophy when it came to developing and delivering products. However, there now seems to be something missing when it comes to delivering working software to the market at the speed which the Agile methodology promises. DevOps lies somewhere between developing and delivering a software. Let me explain my views about it.

What is DevOps?

In a SaaS and cloud obsessed world, there is constant market pressure to implement newer features in the product and release the products to consumers as fast as possible. Tech companies have embraced the Agile development philosophy to address the concerns surrounding faster release of products.  They have even achieved  success to some extent. However, while Agile development principles help develop a working software faster than any other process, what about releasing the product to market?

A typical Agile scrum based-development has sprints of 2 to 4 weeks. At the end of this sprint, which largely involves Dev, QA, Architect and BA, the product features agreed (sprint backlog items) are  ready for production deployment. Note that the product  is production ready but the actual production deployment can take some time. Typically, production deployment may take another  week which could involve lot of to and fro between the deployment team and the Dev team due to the complexity involved in any SaaS and cloud based product.  On average, the production release can be considered to take around 3 weeks for a 2 week sprint based development plan. If the deployment involves too many complexities, it is possible that the actual deployment time can prolong further. Some common practices involve creation of release sprints dedicated to release related activities. Such a release sprint may be planned after a certain number of sprints and generally involves releasing the product in bigger batches, thus defeating the purpose of the faster release of products.

DevOps is a newer chapter in the book of product engineering. DevOps  makes agile principles stronger by bringing in the Development team and the Operations team (responsible for production deployment) closer. Both  teams work closely to ensure tightly integrated development and deployment, resulting in seamless delivery.  The DevOps processes will make sure that the new product features are integrated with the main product and released to market even faster. This means that at the end of a typical 2 week sprint, the product is not just production-ready but also deployed to production release, ready for  end users.

What does it take to implement DevOps?

Bringing dev and operations team closer is the primary theme of the DevOps methodology. Tight integration of dev and operations would typically involve automation of configuration management, version controlling process, test scripts, creation of staging environment and production environment. With Cloud used prominently for hosting, automating cloud related operations such as setting up virtual machines too becomes part of the DevOps automation plan.

Most cloud setup activities revolve around configuring appropriate Virtual machines. The cloud platforms have matured, and many scripting options are available to automate these operations. With the new Containerization technology, which adds  another layer of abstraction and automation of OS level virtualization, the overhead of maintaining virtual machines is further reduced. Though it was initially available on Linux platforms only, Microsoft and Docker partnered to come up with a Microsoft piece of the same.

In addition to available scripting options, we can consider using various DevOps tools for implementation and continuous delivery. Chef, Puppet and Ansible are some of the popular tools for the same. When it comes to the Microsoft world, Team Foundation Server (TFS) along with Azure runbook will help automate Microsoft Azure related operations.


Agile DevOps is becoming the thing when it comes to standing up to the promise of delivering a product to market. The Operations team, which largely consists of Sysadmin, DBA, and network engineers has a  key role to play. Their collaboration with the development team ensures that production deployment is smooth and accurate. Due to the distributed nature of the application architecture, there are too many elements to be considered for automaton These range from code deployment to virtual machine creations. A wide variety of scripting may be required to automate them. This  calls for a highly motivated and skilled Operations team that can jump from one scripting language to another, depending upon the situation.