Getting DevOps Right: Automation to the Rescue

July 15, 2020

iauro Team

Contributing immensely to the global software solutions ecosystem. DevOps | Microservices | Microfrontend | DesignThinking LinkedIn

Getting DevOps Right: Automation to the Rescue

As more and more IT teams embrace remote working during the COVID-19 pandemic, the need for technically sound, robust infrastructure becomes a priority for business leaders. Building agility and transparency into pre-existing processes is now increasingly becoming a key focus area as well, and here is where DevOps can help. In the last part of this blog series, we discussed the merits of implementing the DevOps approach and how it enhances organization-wide visibility. In this blog, we will focus on driving automation efforts through DevOps philosophies, and why getting this right is the need of the hour.

Automation and DevOps go hand in hand. You could say that they are almost synonymous with each other since the main principle behind implementing DevOps initiatives is to automate as many processes possible, to reduce manual intervention right from code generation, to testing, to the final launch of the solution. The dependency on automation for the modern software development cycle (SDLC) to optimize legacy processes and enhance the overall workflow infrastructure is quite high indeed. Here’s why:

  • Infrastructure management: Moving to digital-first processes does not mean letting go of traditional ways of functioning completely. A balance needs to be maintained between both, for efficient usage of the existing infrastructure, and this is precisely what automation promises, as it standardizes workflows with respect to the end business outcomes. It also ensures that the bandwidth of Cloud infrastructure is used optimally, and not excessively, thus keeping the budget in check. This also helps teams avoid confusions and have a single structure and standardization to manage code
  • Release Management: Application deployment can be tedious and complex if handled manually. Automatic deployments within the SDLC ensure continuous integration and delivery and thus make the developer’s life a little simple. With automation measures in the release pipeline, tracking and orchestrating releases becomes simple, fast, and efficient
  • Developer Creativity: More often than not, developers are caught up with monotonous tasks that take up most of their time. It’s easy for redundancy to set in. With automation in the picture, the software delivery environment is decluttered as it runs on auto-pilot, giving them more time to think creatively and focus on critical solutioning for the problems at hand. The toolchains and tech stacks used in automating traditional processes and delivery not only saves developer time but helps them upskill as well
  • Better Compliance: This is important to keep in mind. Standardization of code and development processes has always been a critical challenge for developers, but automation can help eradicate it through Compliance as Code. This enables you to understand which compliance checks are run at each stage in your entire software delivery process. Building in Compliance as Code from the beginning helps both risk and development teams do their jobs faster and avoid delays. 

Automation, thus, is a key piece of the puzzle when it comes to solving software delivery problems through DevOps. What’s most critical is the goal and outlook with which automation procedures are set. Once business leaders have that clarity, it becomes easy to facilitate collaboration and agility one step at a time


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