Trends Influencing DevOps/DevSecOps Adoptions

Trends Influencing DevOps/DevSecOps Adoptions

Trends influencing DevOps/DevSecOps adoptions. The Agile Infrastructure Trend Thought of as a parallel to DevOps itself. This is perhaps the most influencing trend for DevOps adoption in the tech fraternity by far.

This article takes a detailed look into the trends that truly influence DevOps and DevSecOps adoptions in countless tech businesses all across the globe.

Essentially a set of practices coupling software development (Dev) and information technology operations (Ops), DevOps is the combination of employees, methods, and products to allow for perpetual, seamless delivery of quality and value to the clients.

Adding to a set of DevOps practices, a DevSecOps approach provides multiple layers of security and reliability to the clients by integrating highly secure, robust, and dependable processes and tools into the work cycle and the product.

This desirable outcome of integrating DevOps and DevSecOps into corporations has made it a trendy work cycle in the market.

However, with a growing focus on automation and development in Artificial Intelligence and Machine Learning, we’re heading into a NoOps scenario where self-learning and self-healing systems govern the work processes.

NoOps is a work cycle wherein the technologies used by a company are so autonomous and intelligent that DevOps and DevSecOps do not need to be exclusively implemented to maintain a continuous outflow of quality and value.

What are the trends that truly influence DevOps and DevSecOps adoptions in countless tech businesses, small and large, all across the globe? Well, tag along as we take a detailed look into just that!

Software Companies worldwide have been adopting DevOps and DevSecOps into their regular workflows at an exponential rate.

Whether following the Agile methodologies or creating independent workflows stemming from DevOps, companies have been leveraging the faster manufacturing rate with superior quality that DevSecOps provides.

However, the increasing development in autonomous technologies such as AI or ML is idealizing a work cycle where the system operates independently of humans.

It aims to provide faster, reliable, and better products, shifting from DevOps to NoOps.

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