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DevOps Introduction for Beginners

devops basics
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DevOps has become a buzzword, which means a lot of different things to a lot of people.

It’s challenging to understand and define what DevOps exactly is. And that’s why if you know the fundamental concepts of DevOps that most people associate with and the history of how it evolved, then get a holistic view of it.

The Origin of DevOps

DevOps is a perfect example of agile software development. The idea of DevOps came from the need to keep up with the increased software velocity and achieve it through agile methods. Over the last decade, the vast advancements in agile culture and practices exposed the requirement for a more holistic approach to the end-to-end software delivery lifecycle.

You might be wondering to know what agile software development is –

Agile development is a broad term to define several iterative and incremental software development methodologies. The popular agile methodologies are Scrum, Kanban, Scaled Agile Framework® (SAFe®), Lean Development, and Extreme Programming (XP).

The core values and vision of all these agile methodologies are the same, but each of them has a unique approach. All these methodologies incorporate iterations and continuous feedback to successfully refine and deliver scalable software. All of these methodologies involve ongoing planning, continuous testing, continuous integration, and other endless forms for both the project and software.

Unlike the conventional waterfall-style processes, these agile methodologies are lightweight, and they come with an inherently adaptable nature. One of the best things about these agile methodologies is that they all focus on empowering people when it comes to collaborating and making quick decisions together.

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The ideals of DevOps execute the extended agile development practice to refine the movement of software change through the build, validation, deployment, and different stages of delivery. It allows the cross-functional team to have full ownership of the software product-starting from designing to production.

Challenges solved by DevOps

Deployment Process Distributed applications often require deploying the binary and configuration files to multiple servers. It becomes more challenging when having a farm of servers. It becomes challenging to figure out what, how, and where to deploy. The obvious result is?

Long waiting to get the artifacts into the next environment of the route to live causes delaying everything like testing, time to live, etc.

DevOps allows the software or web developers and IT operations to deploy processes in a collaboration session that is entirely blameless. It will enable us to verify what works and then take it to the next level with automation to implement continuous development. It also creates avenues for more frequent development.

DevOps Objectives

It improves the  collaboration between stakeholders from planning to delivery and implements automation of the delivery process to:

  • Improve the frequency of the deployment
  • Achieve faster time to market the end product
  • Decreases the failure rate of new releases
  • It shortens the lead time between fixes
  • Improves the meantime for the recovery purpose

Common DevOps scenario

The whole software comes to the meeting point before starting a new software project. The team is built of developers, testers, operations, and support professionals. The team makes the plan for creating fully functional software that is ready for deployment.

Each day new code is deployed once the developers complete it. The automated testing procedure ensures that the code is ready to be implemented. Once the code gets the green signal from the automation testing process,  it is deployed to a small number of users. The code is monitored for a short period to ensure that there are no unforeseen problems and it is stable. The new code is then deployed to the rest of the users once the final monitoring has shown the code is stable. A significant portion of the steps after planning and development is done with no human intervention.

Different phases of DevOps maturity

There are many different phases of DevOps maturity. Here are the key phrases that you must know.

Waterfall Development

Before the time of continuous integration, development teams used to write a massive amount of code, and then those from different teams were merged for the release. The versions of the code were so different that they used to require a large number of changes.

Making these numbers of changes used -takes more than a few months. This process was not a productive one.

Continuous Integration

It’s a practice of integrating a newly developed code with the main to-be-released code quickly. When it comes to releasing the code, continuous development helps to save a lot of time.

DevOps didn’t introduce this term. Continuous integration is an agile engineering practice coming from the Extreme Programming methodology. DevOps has adopted this practice because automation is required when it comes to executing continuous integration successfully. Continuous integration is often the first down the road toward DevOps maturity.

The continuous integration from the perspective of DevOps includes the steps like checking the code, compiling it into usable code, and running some of the necessary validation tests. ‘

Continuous Delivery

It is an extension of continuous integration and the second DevOps stage.

Continuous Delivery allows you to add additional automation and testing so that you not only quickly merge the code with the main code line but also get the code nearly ready to deploy with no human intervention.

It’s a practice to keep your codebase in an almost ready-to-deployable state.

Continuous Deployment

Continuous deployment is the advanced evolution of continuous delivery. This practice allows us to deploy all the ways into production without any human intervention.

The team that works on continuous development never deploys any code without testing. All the newly created code runs through automated testing before getting into the production stage. The code is deployed to a small number of users, and there’s an automated feedback loop that monitors the quality and usage before the code gets to the next level.

A small number of companies like Netflix, Etsy, Amazon, Pinterest, Flicker, IMVU, Google, etc., do continuous development.

The Value

DevOps highly focuses on developing a collaborative culture and improving efficiency through automation with different DevOps tools. To implement DevOps for your software solution, you need to use a combination of both culture and tools.

DevOps Culture

DevOps is a particular culture that helps to enhance collaboration, decrease chaos, handle shared responsibilities in a better manner, implement automation, quality improvement, feedback valuation, and increase automation.

Agile methods have always been the best holistic way of delivering software. When it comes to measuring the progress, the agile development team does it in terms of working software. The agile method of DevOps culture allows the product owners, developers, testers, and UX people to work closely together with the same objective in mind.

DevOps Tools

Includes the tools for configuration management, testing, and building systems, developing applications, controlling versions, and monitoring. When it comes to implementing Continuous Integration, Continuous Delivery, and Continuous Deployment, they require different tools, and, at the same time, they use the same tools also.  You will need to use more tools as you progress through the delivery chain.

Let’s know some of the popular tools and practices.

Source code repository – this is a place where developers can check in and change the code. The source code repository manages various version of the code that is checked in so that it can make sure that developers are writing over each other ‘s code.

Git, Apache Subversion, IBM Rational, Artifactory, Nexus, Eclipse, etc., are some of the popular code repository tools.

Build server: – the build server is the automation tool that is utilized to compile the code in source code respiratory into the executable code base. Some of the highly used build server tools are Jenkins, SonarQube, and Artifactory.

Configuration management – Puppet, Chef, Ansible, SaltStack, Run Deck, etc., helps to manage the configuration for application and infrastructure to maintain consistency across environments.

Virtual infrastructure – AWS, GCP, and Azure is the top three public cloud provider that offers almost every infrastructure service. They offer API, which allows you to provision the infrastructure and manage them like a code.


I hope it gives you an idea about DevOps, and if this excites you, then you may try this online masterclass course.

Article by Payal Goyal

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