DevOps Automation Best Practices: What You
Need to Know About It?

DevOps is revolutionizing the method that organizations have been following to approach software development. DevOps allow the business to maintain pace with the growing business demand by providing rapid updates for mobile applications and cloud.

It is now essential to streamline process, organizations, and other tooling workflows for pushing quality software features to the end-users with more pace, precision, and effectiveness. The first step to quicker customer response is by replacing manual labour with automation.

Speed and agility are what drives companies towards their business goals by meeting every user’s demands and market requirements.

As business organizations are developing software products from the customer POV, developers are the one who needs to identify the demand and deliver relevant products.

Unprecedented market trends, soaring user demands, varied user needs, and business goals, there are too many factors to consider during the Software Development Lifecycle, aka SDLC. Which means, in every step, developers are challenged with copious variables that come with separate business and technical difficulties.

How Much Automation Do You Need?

Over-automation is a severe issue, and it can decline productivity. The major cause behind over-automation is by linking too many tools together that eventually leads to undesirable outcomes.

The idea is to balance the coin between under-automation and over-automation. Automation should be implemented only after understanding your requirements. Your administrators and developers must also be trained rigorously with the automation tools.

Organizations need to consider the role of automation as an opportunity to eliminate communication gaps, bottlenecks in an organization, and mechanisms which are the factors that affect agility in standard SDLC processes.

Automation is further extended to:

Code Development

When automation is applied to source control, developers are able to stay on top of the DevOps SDLC pipeline by triggering rapid changes. It helps to save a lot of time and also simplify the process of developing large and complex software projects.

Rigorous Testing

From tracking issues to triggering automated communications between team members and systems, continuous testing of the automated builds is necessary to mark the progress. Continuous performance monitoring is required to assess the automation environment and its progress.


Automating tracking process will help developers to stay on top of the existing issues and code changes. It is essential for Quality Assurance and DevOps to collaborate and help run the SDLC smoothly.

Transparency between QA and DevOps is essential to eradicate bottlenecks and silos between the teams.

A user needs to understand that DevOps is not just about tooling. The purpose of automation is to help the members of the DevOps team and facilitate agility among them. Though automation seems to be pleasing as it helps in making the repeatable tasks easier, it can also lead to the repetition of flaws which is also known as automation waste.

So, the best idea is to remove bad designs and bottlenecks from your organization before implementing DevOps automation.

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