An Introduction into the Role of DevOps

DevOps have evolved a great deal since its introduction at the DevOpsDays event in the early 2000s. The global software industry has significantly enjoyed the benefits of DevOps. The industry’s frequent releases and overall growth in cloud infrastructure over the last decade are all testaments to the impact of DevOps implementation.

According to the DORA State of DevOps Report, 70% of SMBs use DevOps tools to improve customer satisfaction and business value. Yet many others with little knowledge tend to think of the DevOps practice only as an afterthought.

Here is an introduction to the role of DevOps.

DevOps Defined

The first use of the term DevOps is credited to Patrick Debois. In 2008, the popular term only existed among early DevOps adopters like John Willis, seeking a new way to scale the vulnerabilities of waterfall development. The DevOps approach is in its second decade, and different people conceptualize and utilize it in many different ways. Today, many people would ask: What is DevOps, and has it changed over the years?

The DevOps transformation has been too rapid to get a grip of its frequent changes. But its purpose has not changed that much. Generally, the meaning of DevOps connotes the process of bringing ops and Dev team members together. It is a cultural shift away from inefficiencies and interruptions with the traditional development lifecycle.

DevOps as a discipline empowers I.T professionals to provide faster end-to-end business solutions. Often, many experts have attempted to draw the line between DevOps and the agile approach. Yet many agile practitioners see DevOps as an extension and a clear path to improve service delivery with agile principles. Continuous feedback, close collaboration of customers, etc., are all attributes that can improve the agile methodology for product managers.

DevOps has become indispensable for businesses seeking data management and scalability solutions in the face of today’s digital transformation. Integration can become complex in an environment full of silos and disparate data sources like MySQL, pdf ext. The integration logic of the DevOps world affords vendors a unique way of merging code repositories and managing dependencies.

How it Works

Different people leverage DevOps for various purposes. Generally, DevOps initiatives favor a continuous process that starts with efficient planning. The DevOps journey needs to begin with a business need. It pays to understand the context of a system before developing your DevOps model.

With adequate insights from your plan phase, the next step is to transform all code repositories into a uniform source code repository. The direction and uniform codebase serve as an excellent blueprint for the continuous deployment of outputs. The DevOps approach favors a continuous deployment pipeline that best fits your user requirements. With continuous delivery comes the need for continuous testing. The objective is to ensure software quality all through the DevOps process.

Once a software developer is sure of the quality, packaging and releasing can follow. However, the DevOps process doesn’t end after software release. DevOps environments require continuous monitoring to identify defects and develop fixes.

Benefits of DevOps

Some common benefits of DevOps include:

1. Continuous Integration (CI)

Integration is one of the essentials in cloud infrastructure management. Integration problems can adversely affect a software’s run time and mar the customer experience. The shared repositories of DevOps allow developers to integrate new codes more effectively. DevOps tools have automation features that can test and integrate a code in real-time. The result is a low-code platform that reduces the need for complexities.

2. Continuous Deployment

With effective integration comes an efficient approach to deploy new software and updates to existing ones. Once a code change matches the business requirement, it is deployed automatically. Continuous deployment supports frequent releases in the software delivery cycle.

3. Configuration Management CM

System reliability is a crucial indicator of automated platforms and software projects. Configuration management tools like Puppet and Ansible can help improve operational efficiency.