What is DevOps – Introduction to Architecture & Benefits of DevOps Sumeet Shah June 14, 2022

What is DevOps?

The simplest way to introduce-DevOps is an approach for coalescing Development and Operations, and there could be various other ways to introduce it too. Broadly, it is a philosophy to ensure coordination between the development and the operations team. Facilitated by DevOps, agile development allows seamless integration and delivery. Leading to extremely productive ends, DevOps tools have proven results in increased production speed.

DevOps architecture is utilized for cloud-based applications as well as big distributed applications. Various components that are used in the architecture are: Development-Plan, Test, Code, Build; Operations- Release, Operate, Deploy, Monitor. DevOps allows both the departments to improve their productivity by allowing them to modify their flaws.

A well-implemented DevOps strategy has a lot of advantages. The following are a few of those that we chose to highlight:

1. Speed:

To become more productive at generating organizational outcomes, DevOps enables you to move at a high rate. This allows you to develop quicker for clients, and adapt well to the changing markets. Your development and operations teams can achieve these goals using the DevOps paradigm.

2. Continuous and Rapid Delivery:

Continuous delivery is the foundation of the DevOps. By increasing the number of releases and the frequency with which they are released, you can innovate and upgrade your product more quickly. The faster you deploy new features and solve bugs, the better you’ll be able to respond to your consumers’ needs and gain a competitive edge.

3. Decreased cost:

DevOps allows firms to keep their costs to a minimum, that is a key concern for corporations. These methods promote productivity, resulting in increased software production and lower overall production costs for enterprises.

4. Reliability:

 DevOps helps you sustain competition by maintaining the quality of application updates and infrastructure modifications. You can deliver at a faster rate while still providing a great customer experience. To ensure that each change is functional and safe, it uses approaches such as continuous integration and continuous delivery. Practices such as monitoring and logging allow you to keep track of performance in real time.

5. Improved collaboration:

 Development teams have more agility and produces at a faster pace in isolation. Operations teams find it difficult to keep up and are unable to release software at the same rate. However, DevOps brings these teams together and speeds up the delivery of software. It shortens the development timeline.

6. Customer Satisfaction:

The DevOps approach values user experience and, by design, user feedback. Because you’re focusing on smaller releases and there’s greater room for fast feedback, this naturally puts you in the shoes of the consumer.

When clients’ expectations and requirements are met, customer satisfaction reaches new heights by getting information from them and acting on it.


The easiest way to get started with DevOps is to identify a small value stream and try out some practices. Transforming a single stream with a small number of stakeholders is much easier than trying to move your organization to a new way of working all at once. Now is the best time to explore this area!

Programming mistakes to avoid Marketing January 12, 2022

Behind building software, there is a team of skilled, talented programmers who put their heart and soul into any project. Programming is a process that the developers’ community thoroughly enjoys because this is their passion, this is what they do for a living. There are dos and don’ts for everything in life. Programming is no different. Programming is not a very simple process and requires a lot of effort and attention. To make sure that all of your hard work does not go wasted, here are some programming mistakes that you should look out for: 

1. Avoid repetition:

Why make your program bulky when you have the chance to not do that? If you are copy-pasting a certain code multiple times, then you need to understand this sign and do something about it. Repetitive coding is very common and most of the programmers might have come across the same mistake but there are always other options for you to make the coding process easy without being repetitive. Inserting functions or loops in your code might be a few options that will help you through the process.

2. Understand the assignment:

 Input, output, conditions, programmers need to take into account every little detail they can think of. Coding is not a quick process. It consumes your time, hard work, skills, and so one would need to ensure that they are not proceeding in the wrong direction. After hours of coding, late nights spent in front of the screen, nobody would want to see that the software has failed because of some silly errors. Take your time to understand the project, what the requirements are, and how to go about the process. Ask the clients what they expect from this project. Get into the details, research thoroughly and be prepared. Make sure everything is in place before you begin. 

3. Variable Names:

 Say you are working on a program today and the day has come to an end. You decide to complete the remaining part of the program tomorrow when you come back to the office. Now as you come back to the office and look at the screen, what would you want to see? Variables names precisely according to what the function represents or variables named after whatever it is that you were feeling good about yesterday? The prior choice, correct? Variables play an essential role in any and every language. Naming them is not a difficult task but it just needs to be accurate. 

4. Keep it Simple:

One needs to understand that coding may be a complex process but every program does not need a complex code. Keep it simple, keep it basic. The idea is to solve problems and if that can be obtained through an easier yet efficient path, then go for it. A code that is simple, efficient, and easy to manage will cause no harm and thus it becomes the ideal choice.

5. Negate confusion:

There are so many choices for building software in the market today. Python, Java, Scala, or frameworks like Vue, Node.JS, etc. They all have their different set of capabilities and thus attract the attention of developers. You need to understand that language overload is going to cause more problems and will not result in a fruitful outcome. Algorithmic thinking should be the basis for your projects. 

6. Backup is important:

Taking risks is brave but when it involves continuously working for 6 hours, skipping lunch, and hard pass on that afternoon nap, then you might not want to be the daring type. After putting so much effort into a project, how would it feel to know that the entire data is gone? Just like that? You would feel pretty frustrated, right? That completely makes sense. To avoid that from happening, make sure that you take timely backups and keep the programming updated. Such a precious piece of work deserves to be protected at all costs. 


It is okay if you make a mistake unknowingly, but if the same thing happens twice then it cannot be termed as a mistake. Now that you know about some of the most popular programming mistakes, make sure that you avoid these as they will have a positive impact on your coding. 

AngularJS vs Vue.js: Which is the Best Front-end JavaScript Framework? Marketing January 11, 2022

Are you aware that there are about 24 JavaScript frameworks and 83 libraries from which you can choose your favorite for the next project? These frameworks aid in the construction of big applications by providing characteristics such as data structures, design, reliability, and the construction of sub-applications. There are currently two finest front-end development JavaScript frameworks that you may select for designing your apps within these frameworks. They provide a variety of options for quickly creating complicated web apps.

What is Angular JS?

An open-source framework, Angular JS is a JavaScript-based open-source framework for developing web application front-ends. It is built on a well-defined framework of complex codes. It is referred to as a Model-View-Controller framework since it employs a modular approach to app development. In AngularJS, there are multiple JavaScript files. Because it contains major framework functionality, every application that desires to use AngularJS must include the core file. The content created on top of a basic feature can be expanded with additional files and extensions.

What is Vue.js? 

Vue is another front-end framework for JavaScript. It is a growing sensation among the development community. Vue is simple to incorporate into other applications and libraries. It’s easy to set up, and even beginners can get started creating user interfaces right away. It saves a considerable amount of weight by excluding several extra functionalities from its main library. New modules should be used to add all functionalities, making it more modular than the Angular framework. It is concerned with the properties that a framework should offer to developers, such as efficiency, versatility, and simplicity of use. When it comes to versatility and ease of use, Vue is a huge step forward.

Advantages of AngularJS: 

There are various advantages of using AngularJS such as: 

  • It is very easy to learn. AngularJS is simple to learn for anyone who knows HTML, JavaScript, and CSS. Online tutorials may teach you how to use AngularJS to design and develop your software platform.
  • AngularJS allows for quick and efficient data binding without the need for a developer’s intervention. The software’s display layer will be greatly simplified because of this two-way data coupling.
  • The server runs exceptionally well due to lower traffic and the fact that it just delivers static content and answers to API calls since it allows caching and several other activities.

Advantages of Vue.js: 

Vue.js also serves many advantages such as: 

  • It is also easy to use. It is famous among the development community because of its adaptability. It is also inexpensive, but that does not reduce its functionality. People with basic front-end development knowledge can easily pick it up in a short time.
  • It also allows developers to integrate Vue with other frameworks such as React, allowing them to tailor the program to their specific needs. The reason for its growing demand is its ease of connection with a range of existing applications.
  • Developers benefit from Vue.js’ outstanding and timely support. The majority of questions submitted to the official site are answered within hours 

Which is the best front-end JavaScript Framework? 

Do you often get confused between the two top fronted development technologies, Angular.js and Vue.js? In today’s world, front-end development would be unthinkable without JavaScript frameworks. This choice affects a lot of areas such as the web application’s scalability, its efficiency, and its design. It has a significant impact on these factors. Since it effectively gives the coding modules a structure to work with, it makes for a very important component of front-end development. Both of these frameworks coexist in the world of JavaScript-based frameworks. 

When should you choose AngularJS?

Angular.js features a large range of responsibilities and a customizable framework. As a result, it’s more suited to large-scale, dynamic, and practical uses like online communication and chat rooms. Angular JS also makes for a great choice if you have to work on server and client sides. AngularJS is a preferential choice over Vue JS for designing complex web applications.

When should you choose Vue? 

For a lightweight, solitary web application, Vue.js makes for the best choice. It allows you to quickly create a responsive web application. This makes it ideal for developing and creating projects that are not very large. Its high speed and efficiency are factors that should be noted and kept in mind.


Both of these frameworks make for a great choice, depending on your requirements. Be clear with what you want. Make a plan and note down all your requirements, then choose an appropriate framework. 

Do you need to be a programmer to start a Software Startup? Marketing January 10, 2022

In today’s world, we often hear about new startups and businesses. Some of these startups are led by experienced professionals while the others are headed by professionals who have just entered the world of startups and entrepreneurs. Every year, several software startups enter the market. Not all of these startups are started by programmers or people who are software developers. Having a great startup idea can sometimes be enough to start a business.

Starting an online business can be challenging. A few things that can help you begin your software startup are: 

1. Have a clear idea:

You might not know how to work through the process, how to develop the software but what is important is that you must know what the result should be. You can hire a team of software developers for the required results and guide them by clearly laying out the goals and requirements.

2. Undergo basic training:

If you believe that a certain skill set is required to operate a software startup, then you can undergo basic training and learn a little about the world of software. With time and experience, you will be able to learn many new things that will be helpful in the entrepreneurial world. Your software startup will teach you things along the way.

3. Have a structured business plan:

An idea can start the process, but you need to understand that without a plan, the process can take a wrong turn. Your efforts will be of no use if you do not have a proper plan. Before you engage and enter the software development market, make sure you thoroughly research all areas of the sector. This section provides information about your company’s description, location, marketing objectives, rivals, procedures, required equipment, and expenses. This will also help you determine whether you can start and run a software firm.

4. Online promotions:

With the introduction of social media platforms such as LinkedIn, Instagram, Twitter, etc. your business can become a success if you spread the word through these platforms. Software development is a field that has its major clients looking for companies and organizations online. In current times, people like to sit at home and surf the internet to get the services they need. Establish social media profiles for your company and provide details about your new product regularly. It also is a good idea to use post upgrades on various social media sites to target a specific group at a low cost, depending on factors such as cost.

5. An entrepreneurial mindset:

Having a mindset that motivates you to work to your fullest potential and overcome every obstacle is essential. Starting a new venture can be challenging due to many factors. If you are new to entrepreneurship, then entering the market will take some time as you adjust to the happenings and realize where to focus your efforts. A software firm will require software developers. 

6. Build a website:

An online website can be an official platform where you communicate with your customers. Including chatbots, questionnaires, query sections, about us pages, and the team’s description can help the users understand the company better. An online website will also allow users to reach out to you at any given time, from any given place. You can keep them updated through blogs, and slowly build a dynamic website that will allow them to engage with you.


Starting a software startup without any knowledge of programming is not impossible. Be prepared with a structured plan, and stick with your goals. Hiring a good team can be helpful in the long run. 

Top 5 Python Libraries Marketing November 29, 2021

Python is a computer programming language that is quite popular among everyone. It does not matter if you work in the development field, you must have heard of the Python language once in your life! Python is popular among developers for a variety of reasons, one of which is that it offers an incredibly huge library of libraries with which users may work. With its comfort and efficiency of use, it is a fairly basic computer program. Python wants its employees to be more prolific in all aspects of development, deployment, and maintenance. One other factor for Python’s immense popularity is its adaptability. When compared to C, Java, and C++, Python’s programming syntax is straightforward to learn and has a high level of abstraction.

What are Python libraries?

A Python library is a reusable code snippet that you can use in your programs and projects. The term ‘library’ refers to a collection of modules. This language includes a huge standard library and allows effective memory allocation. A Python library is a collection of programming languages that can be used in other Python projects. It is essentially a set of modules. Their value stems from the fact that they do not necessitate the creation of new codes every time the same procedure is required to run. Python libraries are useful for data science, machine learning, and data manipulation applications, among other things.

While referring to the Standard Library in Python, the term “library” is most usually used. The existence of a huge number of standard libraries in Python simplifies the life of a coder. The Standard Library is bundled with Python and installed alongside it, ensuring that its modules are always available to Python code. Python’s Standard Library is a collection of the language’s precise syntax, tokens, and interpretations. It’s included in the standard Python installation. This is written primarily and takes care of things like I/O and other essential functions.

What are the common libraries in Python?

Here is a list of some common libraries in Python:?

1. Pandas:

Is Python suitable for data science? Yes, it’s possible! Pandas is an example of a library that can assist you in achieving this goal. It offers fast, concise, and versatile data structures for working with organized (table form, multivariate, potentially diverse) and time-series information faster. It is a Python machine learning toolkit that includes high bandwidth structures as well as several analytical techniques. It ensures that the entire data manipulation procedure is simplified. Pandas include support for re-indexing, repetition, filtering, data analytics, sequences, and representations, among other activities.

2. NumPy:

NumPy is a popular and efficient Python library with advanced math capabilities and a fundamental compute-intensive suite. NumPy is a simple and exciting tool. It simplifies the execution of difficult mathematical equations. Coding becomes a lot easier, and understanding the ideas appears to be a lot easier. The language can be used to represent images, sound waves, and other binary raw streams as an N-dimensional array of real values.

3. TensorFlow:

TensorFlow is used in practically every Google machine learning model. It is designed to be fast, and it employs techniques such as XLA to do speedy basic mathematical computations. It functions as a cognitive library for building novel algorithms involving a huge number of tensor actions. Because neural pathways are easily defined as functional networks, TensorFlow can be used to implement them as a sequence of tensor operations. TensorFlow’s libraries are developed entirely in C and C++. It is popular due to its useful properties, which include flexibility, a huge community, a dynamic structure, and the ability to be readily trained.

4. SciPy:

SciPy presents a multitude of numerical algorithms that are both user-friendly and effective. SciPy is a Python-based machine learning framework for programmers and researchers. Components for planning, linear programming, integration, and stats are included in this library. SciPy’s key characteristic is that it was written in NumPy, and its collection makes extensive use of NumPy. Furthermore, SciPy uses its particular components to provide all of the effective computational algorithms such as optimization, numerical methods, and many others. The functions in SciPy’s components are extensively documented.

5. Keras:

Keras is regarded as one of Python’s most interesting deep learning packages. It’s a Python-based framework, which makes it simple to debug and investigate. It also comes with several useful tools for constructing models, manipulating sets of data, graph visualization, and much more. It runs without a hitch on both the CPU and GPU. It supports nearly all neural network models, including fully connected, multilayer, filtering, repeating, integrating, etc. Such models can also be merged to create more sophisticated models. Its modular design makes it very expressive, adaptable, and well-suited to cutting-edge research. It allows neural networks to be expressed more easily.


Python is a programming language with abundant libraries that help develop a wide range of applications in the real world. All you need now are some skilled python developers to accomplish your goals. We hope that this blog helped you understand the importance and efficiency of this high-level, dynamically typed, and interpreted language.