Why Software Product Engineering is your Ticket to Scale

As an organization, you must be aware that in the era of innovation and technology, old and traditional business policies will not provide you a success-oriented result at all. You have to be well versed with the latest trends and embrace advanced techniques to scale new heights.

As an organization:

  • you may have recently became profitable now and require scaling, or,
  • your organization is developing productively and you now seek global expansion with localization of your services, or else,
  • you are battling an unknown problem that slows your growth.

What you are looking for is a tangible answer, but you find too many Why’s behind every What. This is where product engineering comes to the fore to help you instrument the necessary changes effectively.

When Do You Need Product Engineering?

Product engineering (PE) is a process of designing, developing, and testing a purposeful business system or product with further transitioning to its development. Product engineering solutions and services entail activities that deal with the following characteristics:

  • Productivity
  • Quality
  • Performance
  • User features
  • Reliability
  • Serviceability
  • Intended lifespan

Furthermore, the product engineering process allows for fashioning a product that suits the selected business objectives and pleases principal business needs.

In the early days, product engineering was all about building a physical product, but today it is regularly used to refer to custom software development. The term and what it encompasses, in general, applies to a software product as much as to a physical product. Whether you are building a next-generation manufacturing line or an ERP software solution, a new gadget or game app, the final product needs to be of high quality and satisfy both customer & business needs in any case.

Different stages of Product Engineering

Conceptualization

In the preliminary phase, product engineering concentrates on conceptualizing an idea along with its documentation, separating the project requirements from the specifications.

Designing

In the subsequent stage, it concentrates on creating exclusive and significant designs once the model or the idea is final. If the team needs to change something in the idea, it is done before finalizing the design.

Development & Assembling

One of the most important stages, here is where the engineers begin the development and assembling of the product. The method of implementation & project management skills is key.

Quality Testing

Once the product is developed, it is time to test it on stiff parameters and check whether it meets the expected standards of product engineering.

Launch of Product

After the entire development team is comprehensibly satisfied that the product is flawless and it is fit for the end-user, you can plan to launch it in the market. Also, don’t forget to ask the users to send their valuable feedback and comments.

Updating the Product and Re-engineering

You cannot just sit back after releasing the product thinking that your task is over. No, but you have to update the product at regular intervals so that it maintains the same standards as before in addition to the maintenance. It will be advisable to provide a good support system so that it can address the issues and fix them quickly. It is important to keep refueling your product to enhance its lifespan.

The word product engineering despite being new in the technology world has added much impetus around helping the organizations to quicken their business operations.

Advantages of Product Engineering

  1. Is packed with innovative features and functionalities that can turn your business around in rapid time
  2. Provides comfort and flexibility during business operations, hosting third-party devices and platforms with help of system interoperability
  3. Puts your business on the technologically high accelerating tracks and bringing a massive transformation by evading the traditional methods
  4. Helps entrepreneurs remain comprehensibly up-to-date with the latest trends and technologies
  5. Allows you to stay focused on business strategy, while a professional outsourcing IT Consultant firm handles everything else
  6. Helps create the best next-gen product at cost-effective prices

Conclusion:

As new technologies become part of the enterprise and software solutions scale becoming more complex, product engineering will play an increasingly pivotal part, right from conceptualization to the customer support stage. Software improves an enterprise and our lives on many levels, and as its role becomes bigger, we need product engineers — dedicated experts who ensure we can rely on software solutions and delegate important tasks to the technologies the code supports, whether it is a productivity app, and AI-based algorithm, or a massive Blockchain network.

Nitor’s Software Product Engineering Service facilitates groundbreaking product and engineering transformation across industries. We collaborate closely, innovating, designing, developing, and testing to create a holistic software product that solves real business problems.

To know more please contact marketing@nitorinfotech.com

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.

 Conclusion:

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 marketing@nitorinfotech.com

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.

Conclusion:

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 marketing@nitorinfotech.com

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.

Conclusion:

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 marketing@nitorinfotech.com

Are you ready for HIMSS19? We Are!

We’ve been SUPER focused prepping for what will be our fourth year in a row exhibiting at the HIMSS Global Conference & Exhibition. Nitor is excited to connect and collaborate with colleagues around the world.

I can’t wait to share how our partnerships and business have evolved and are taking on new innovative and dynamic forms! In the last two years, our Healthcare business has grown by a staggering 200%. We have been able to achieve this by inculcating disruptive thoughts to bring about transformation at the forefront of healthcare. This time around, we promise to continue our innovation with Peer Product Management. Our idea is to help build the talent capabilities and putting in place the right healthcare product operating model and infrastructure, tailored for your product context.

We are also proud to be the first company to introduce the concept of Research as a Service for Healthcare at HIMSS19. The primary value propositions of our RaaS for the Healthcare organizations will be – innovation, disruption, scalability, flexibility, cost-effectiveness and much more.

I am excited that Nitor’s experienced team will be at HIMSS, the industry-leading conference for professionals in the field of healthcare technology. The conference will bring together more than 40,000 health IT professionals, clinicians, administrators, and vendors to talk about the latest innovations in health technology.

This year, HIMSS will aim to provide solutions to your biggest challenges – cybersecurity, connected health, precision medicine, disruptive technologies, population health and more – with exceptional education sessions. Additionally, it will uncover innovative solutions that enable seamless, secure, interoperable health information exchange and improve individual and population health at the HIMSS Interoperability Showcase. Interestingly, our two core offerings Peer Product Management & Research as a Service aims to provide answers to many of the above challenge.

This year’s conference will be held at the Orange County Convention Centre in Orlando, Florida from February 11 – 15, 2019. You can visit us at booth #7447. We will be highlighting, How Data can drive healthcare transformation. Additionally, we will highlight our Peer Product Management & Research as a Service capability.

Nitor’s Guide at HIMSS19

If you plan to be at HIMSS19, Nitor would like to connect with you. For our ISV customers and others who want to help usher a new era of healthcare, we will be showcasing various activities at our booth #7447.

Here is a quick summary of some of Nitor’s activities at HIMSS including a dedicated Peer Product Manager.

At the booth, we will display our offerings spread across different stages of a data journey, guiding you on the road to digital transformation, which includes Modernization & Digitization, Integration & Transformation.

We will highlight how we leverage platform oriented strategic partnerships to deliver data-driven transformations. How is that we along with our solutioning strategy strive to deliver secured healthcare interoperability and digitalization? Nitor experts, who will answer questions regarding solutions, app development, interoperability and much more, will be there at the booth.

A Peer Product Manager only for you!

Talk to your Peer Product Managers – Priyank Chopra and Pushyamitra Daram to find out how they can help you improve your cost & efficiency around product development. The Peer Product Managers will help you create and scale your product management function to set and achieve ambitious product goals. Let them walk you through our Peer product model, which can help you bridge the gap between Enterprise and IT Vendor.

To know more about our Peer Product model & managers click here

On-Demand Demos:

We will have on-demand demos about how our accelerator frameworks can transform your data, and unlock your organization’s full potential. We will be running Demos every day on various topics, some of the topics include:

  • Chatbot
  • MIPS Rule Engine
  • Patient Portal
  • Progress Health Cloud Demos

You can schedule and find more information about our Demos here.

Raffle Prize

For all the attendees who are ready to celebrate HIMSS in style and love to take selfies, there is a treat in store. Join us at our booth #7447, just ask for our Peer Product Manager, take a selfie with them, tag @NitorInfotech on Twitter/LinkedIn and stand a chance to win an exciting stress tracking gadget ‘The Pip’.

This year is going to be Nitor’s biggest year ever at HIMSS. Above all, I am excited about the Healthcare future and are committed to making positive contributions – today and tomorrow – that will benefit the world in which we live and future generations alike. Let’s Connect at HIMSS and let’s transform healthcare together.

You can find Nitor’s full HIMSS Schedule  here

See you in Orlando!

Demystifying usage of AI and ML with Azure Server-less

As I made my way into the city of Mumbai, I started realizing that it is actually happening, the big day you have been waiting for so anxiously is finally here.

It was an honour to deliver a session at 2019 Azure AI tour in Mumbai. I was invited as a speaker and held a 45-min session on “AI/ML with Azure Server-less”. The Conference was held at the Microsoft office, Santacruz East, Mumbai. This was my first time attending the Microsoft Azure conference. It was great fun and the conference was very well organized.

Here are a few stats from the conference; it had around 70 attendees from different states and 7 speakers delivered 7 sessions.

Event kicked off on bright note,  Noelle LaCharite, the developer experience lead for Applied AI at Microsoft covered various aspects of AI, with ease of learning and provided code base for developers. She also presented handful demos of few cognitive services.

Gandhali Samant (Sr. S/W Engineering Manager – Financial Services Cloud architect at Microsoft), presented different business case studies where Microsoft Azure AI was widely and successfully being used. Along with the informative slides presentation, she also presented few videos documented as a part of Artificial Intelligence implementation.

I had the pleasure to deliver a 45-min session and it was wonderful interacting with a lot of Azure architects, .Net Devs and Data science experts.

 Here are the quick highlights of my session:

My session started with Azure AI computer vision service, custom vision service and Azure Functions. Furthermore, I demonstrated the usage of services in Azure functions by bindings and Azure Signalr. I also spoke about code in .Net and Python.

Some of the highlights of my session are below:

  • Serverless architecture: The What & Why

The ‘What’ part included:

  • managed compute service (FaaS)
  • Leverage SaaS products

The ‘Why’ part included:

  • Reduced Ops, Focus on Business Logic, Reduced Time to Market

I further explained Solution implementation using Azure function .net and python sdk and Azure signalr.

  • Azure function

Triggers Timer, Http, Blob, Cosmos Db, Queue, Event Hub

  • Bindings

Blob and signalr

One of the most pivotal things I displayed, were the use cases for Computer Vision Service. It customises your own state-of-the-art computer vision models for your unique use case. Just upload a few labelled images and let Custom Vision Service do the hard work. With just one click, you can export trained models to be run on device or as Docker containers. The use cases included the following:

Use case 1:

Requirement:

When image is uploaded:

  • identify applicable tags
  • identify face, gender, age
  • suggest possible description
  • send real-time notification

Use case 2:

Requirement:

Predict anomaly

  • trained using scikit-learn
  • saved using pickle on Azure blob
  • solution to be available as service

My overall objective was to let know people that Serverless computing is a relatively new paradigm in server technology which will helps organizations convert large functionalities into smaller discrete on-demand functions that can be invoked and executed through automated triggers and scheduled jobs. Additonally, I enjoyed the overall event as it shared valuable & informative session on AI/Cognitive services/IoT/ Serverless & Cloud concepts.

Overall, the enthusiasm among all the attendees was commendable with utmost excitement to learn about Artificial intelligence. I thank Microsoft and Azure India for providing me with this opportunity. Let us learn and grow together!

Additionally, I would love to connect with you people on topics related to Serverless, Artificial intelligence. Please feel free to connect with me at akshay.deshmukh@nitorinfotech.com

You can find the detailed information about my session by clicking on https://bit.ly/2shrlCz

About Akshay Deshmukh:

Senior Lead Engineer – Nitor Infotech

Blogger, MVP @C Sharp Corner

https://www.c-sharpcorner.com/members/coder30

Author @Dot Net Tricks

https://www.dotnettricks.com/mentors/akshay-deshmukh

LinkedIn – https://www.linkedin.com/in/akshaydeshmukhis

Love to use Azure ML, IoT, Microsoft Bot Framework, .Net Core, Angular

Love to code in C#, Python, Scala, TS, JS

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  – https://www.nitorinfotech.com/devops-diagnostic-tool/

To know more about Nitor and DevOps services email  us at marketing@nitorinfotech.com/

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 marketing@nitorinfotech.com

Performance Testing – Assured Speed, Scalability and Stability of Applications

Today we have more expectations from software than we used to have earlier. This is the primary reason why Performance testing is turning out to be so critical. Performance testing is a part of any organization IT system. It’s a given that modern application regardless of volume usage should undertake standard Performance testing. These tests reveal defective assumptions about how applications handle high volume, guarantee framework-scaling works as anticipated and recognize load-related defects. Performance testing’s capacity to identify defects happening under high load can help enhance applications regardless of scale.

It is unusual that organizations keep on ignoring the significance of Performance testing, often-deploying applications with slight or no understanding of their performance. This mentality has changed little in the course of recent years as failure of high-profile software applications remains the bottleneck.

In short, Performance testing should be the topmost priority of the organization before releasing a software or an application.

Why Performance Testing?

Performance testing is used to check how well an application can deal with user traffic. By putting a repeated scenario on an application or site, it is likely to analyse breaking points and assess projected behaviour. In particular, Performance testing is performed to identify reliability, speed, scalability, responsiveness and stability of the software.

As a code change from a team that is endlessly incorporating new features, bug fixes can influence how an application looks, and functions on different devices and browsers.  It can change how rapidly that application loads across machines.erformance testing is used to check how well an application can deal with user traffic. By putting a repeated scenario on an application or site, it is likely to analyse breaking points and assess projected behaviour. In particular, Performance testing is performed to identify reliability, speed, scalability, responsiveness and stability of the software.

This is why performance testing is so crucial to a well-rounded QA strategy— checking an application’s performance, ensuring consumers are experiencing acceptable load time, and site speed is foundational to high-quality software.

Importance of Performance Testing

1.     Quick functional flows matters

Every end user of Software expects that each transaction s/he makes should be completed quickly, or take less time. Performance Testing plays crucial role in the same.

2.     Capacity Management

A performance test gives inputs on whether hardware or production configuration needs any improvement, before a new software is released on a live environment.

3.     Software Health Check-up

A performance test helps check the health of any software, and gives inputs for additional fine-tuning.

4.     Quality Assurance

A performance test also inspects the quality of code written in the development life cycle. It is a crucial part to identify if the development team needs special training, etc.  to create more fine-tuned code.

Now that you clearly know the importance of Performance testing, finding the bottleneck should be your next goal.

In a complex system, built with many pieces like application servers, network, database servers and many more there are high chances of you facing a problem. Let us discuss about the possible Bottlenecks.

What are Bottlenecks?

Performance bottlenecks can lead an otherwise functional computer or server to slow down or crawl. The term “bottleneck” can be used for both an overloaded network and the state of a computing device where any two components at any given time do not match pace, thus slowing down the overall performance. Solving bottleneck problems usually results in returning the system to operable performance levels; yet, addressing bottleneck fix involves first identifying the underperforming component.

Here are four common causes of bottlenecks

CPU Utilization

According to Microsoft, “processor bottlenecks occur when the processor is so busy that it cannot respond to requests for time.”  Simply put, these bottlenecks are a result of an overloaded CPU that is unable to perform tasks in a timely manner.

CPU bottlenecks appear in two structures:

  • a processor running at more than 80 percent volume for a prolonged period, and
  • an excessively long processor queue

CPU usage bottlenecks regularly originate from the lack of a system memory and constant disruption from I/O devices. Settling these issues includes improving CPU power, including more RAM, and enhancing programming coding proficiency.

Network Utilization

Network failures happen when the correspondence between two devices comes up short on bandwidth or processing capacity and is unable to finish the task rapidly. According to Microsoft, “network bottlenecks occur when there is an overloaded server, an overburdened network communication device, and when the network itself loses integrity”. Solving network usage issues normally includes adding or upgrading servers, and upgrading network hardware like hubs, routers and access points.

Software Limitation

Often problems related to performance occurs from within the software itself. At times, programs can be designed to deal with just a limited number of tasks at once, this makes it impossible for the program to use up any extra CPU or RAM assets even when they accessible. Furthermore, a program may not be written to work with numerous CPU streams, thus only using a single core on a multicore processor.

These issues are settled through rewriting and fixing software.

Disk Usage

The slowest segment inside a PC or server is generally a long-term storage, which involves HDDs and SSDs, and is usually an inevitable bottleneck. Additionally, the most rapid long-term storage solutions have physical speed limits, making this bottleneck cause one of the most troublesome ones to investigate. In most cases, disk usage speed can develop by reducing fragmentation problems and increasing data caching rates in RAM. On a physical level, you can solve insufficient bandwidth problem by moving to faster storage devices and expanding RAID configurations.

High-level activities during Performance Testing

Test Coverage

Test coverage includes a colossal ability to cover all functionalities while conducting performance testing. Although, the scenarios must be exhibitive of different parameters, you can attempt automating key functionalities by assembling many scenarios. User data must be projected properly, as there would be several users using the system in their own context.

Non-Functional Requirements

Functional as also non-functional requirements  hold equal importance in performance testing. Functional requirements are far more specific and contain within them input data types, algorithms, and functionality to be covered. The real challenge is identifying less specific non-functional requirements- some of which are  stability, capacity, usability, responsiveness, and interoperability.

Performance Test Analysis

Analysing the performance test results is the most challenging and key task in performance testing. It requires you to have detailed knowledge and good judgment to analyse reports and tools. Moreover, you need to regularly update the tests based on the situation.

Conclusion

Proactive Performance testing efforts help customers get an early feedback and assist in baselining application performance. This in turn ensures that cost of fixing the performance bottlenecks at later stages of development is drastically reduced. It is always easier and less costly to redesign an application in its early stages of development than at a much later stage.

This also makes sure that performance bottlenecks such as concurrency, CPU or memory utilization & responsiveness are addressed early on in the application life cycle.

Nitor excels at evaluating  the performance of different technology& domain applications. It has well defined processes & strategies for baselining the application performance.

Nitor TCoE has expert performance testers who are capable of executing the performance engagement with close coordination with various stakes holders. Nitor performance testers are highly skilled in carrying out performance testing activities through open source tool or Microsoft tools set.

For more information, please contact marketing@nitroinfotech.com

Microsoft PowerApps – Build your Business Apps Faster & Smarter

One Platform- Unlimited Benefits

Traditional approaches to business seems to be collapsing, and companies are trying to develop innovative solutions. Furthermore, in today’s fast paced environment you need tools that work faster, perform better, and can scale with your business.

No matter where we go to a meeting, maybe even on airplanes, work happens on our tablets, laptops and phones. Mobile technology, cloud, skilled expertise and limitless computers have transformed the way we do business. Yet, the apps we use to do business are slow to stay pace with business demand.

While organisations are turning more and more towards SaaS solutions for precise scenarios like HR, hospitality and travel utilizing services like Microsoft Dynamics, Concur or Workday, most business app scenarios still remain bolted on premises, dependent on corporate connected PCs.
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Too often, they are not easily integrated with other services like virtual meeting tools, HR applications and many more not accessible when and where people need them most – on the system they want to use in that moment. The business application classification is always a step behind consumer applications, the primary reason being the richness and ubiquity that the latter provides.

Microsoft PowerApps has an exclusive answer to these issues. PowerApps is an enterprise service for technology frontrunners enabling them to connect everywhere, create and share business apps with their team on any device in minutes. Additionally, PowerApps benefits anyone in the enterprise to unlock new business agility.

So what exactly are PowerApps?

Fundamentally speaking, Microsoft PowerApps is a Platform as a Service (PaaS). It enables you to create Mobile apps that run on Windows, IOS, Android etc. – with almost any Internet browser. PowerApps is a platform for developing and using custom business apps that connect to your data and work across the mobile and the web, without the expense of custom software development in a short period.
Not just a platform, PowerApps can also be a standalone mobile app as well! Traditionally, mobile app development was all about creating apps for each operating system. This was a headache as it used to triple up an organization’s development time, eventually tripling up the cost. Furthermore, organizations would require more resources to create business apps.
Everything created in the Powerapp will function through and within the PowerApps Mobile App. This reduces the gap between the operating systems and allows you to run your apps. In simple terms, it is a bridge that provides mobile apps an easier pathway to function across mobile platforms.
PowerApps also has the web version. It is the same concept but runs through any modern web browser instead of a mobile app.
The highly productive platform has made its mark in the market and it helps organizations deliver business smarter and faster. Let us look at a few benefits, which form a great user experience and benefits businesses.

One Platform, Unlimited Benefits:

Mobile-First

Microsoft’s PowerApps embodies a withdrawal from its earlier strategy in which PowerApps were designed to be used on mobile devices. It is irrelevant if you use an Apple device, a Windows phone, an Android, or a tablet. You can still utilize an app designed with PowerApps.

Cost effective

For the organizations that outsource their app development this is extremely important. PowerApps enables you to build in-house – a move, which will save your organization from taking a beating. Additionally, this allows your present employees to focus on ensuring that line-of-business users have a unified app experience.

Makes Data easy to Manage

Many organizations have various solutions supporting their business with data stored in different locations. Eventually it comes with its own risk in terms of management and getting all that data working in agreement all the time can prove tough.
With PowerApps, you have the magic of its connectors. It has over 230 of them and they are growing every day. Salesforce, Dropbox, Smartsheet, Oracle are just a few and you can flawlessly use all of these without having to write any code.

Incorporating Multiple Platforms

Incorporating different stages and applications has reliably been a testing task. A few ventures have slowed down due to inability or high expenses related to building the interface for the platforms. With PowerApps and its connectors, organizations can integrate them with multiple platforms. Office 365, Salesforce, Mailchimp and many more can be used effectively and integrated with ease.

Having read all the pros about Microsoft PowerApps, it may seem infallible. However, it also has few cons.

The ‘NO’s’ of PowerApps

PowerApps are essentially Business Mobile Apps – which means internal use. You are not going to make a PowerApps that you can share with everyone. These are not intended for consumer consumption, mostly due to technical limitations it has while sharing with external users and licensing model.
Additionally, majority of the usefulness in PowerApps is “no-code.” So, your in-house designers are restricted and cannot include any custom HTML, JavaScript or add a hackable element to it.

Conclusion

It is crystal clear that PowerApps helps us to create apps platform with ease, which leads to less development time and effort helping organizations to automate their processes. Organizations can connect it to different cloud services like Office 365, Dynamic CRM, Salesforce, Dropbox etc. PowerApps accelerates how business apps are built which results in time efficiency.
Nitor is an early adopter of Microsoft PowerApps. Our development teams are working to utilize PowerApps to develop a range of solutions for businesses. We at Nitor can help your business hop on to the new platform quickly. Our experts can assess and identify the need gaps and recommend the best pathway.

For more information, please contact marketing@nitorinfotech.com