Reports show promising growth projections for the DevOps market, with CAGR projected to grow over 20% between now and 2026. Developer productivity and continuous delivery are at the forefront driving DevOps transformations.
Less than one third of developer time is writing code, with the remainder of their time spent on other tasks from daily testing, code maintenance, security governance and risk mitigation. DevOps is evolving, finding innovative ways to improve developer time holistically. Developer tools are expanding into untapped sectors focused on improving developer productivity and spending more of their time writing code.
In parallel, DevOps continues the battle of balancing development speed while maintaining code quality in the face of continuous delivery demands. Teams are moving faster, and development is increasing releases to stay competitive in their market, but leadership is walking a tightrope, as code quality can’t drop from being a priority.
In order to stay steady with this balancing act, development leaders are looking toward the following DevOps trends transforming the landscape for 2022 and beyond.
With the substantial projected DevOps growth trends, developers have ample options for finding the right tool for the job. But there’s an abundant, untapped resource that is just starting to be utilized at this point, that will drive the next evolution of DevOps for quality code even faster: the data being produced from these tools.
As we’re equipped with more data from our DevOps pipeline outputs, how we use that data to make decisions was previously an arduous task, but offers the biggest opportunity to amplify the trajectory of the market further.
Machine learning will continue to contribute to the DevOps revolution, propelling data analysis and empowering developers to get the right signals for optimizing their cycles further. We’ve seen this smart approach to DevOps in portions of the pipeline, like AIOps anomaly detection and auto-scaling for operations, and Snyk for deep code analysis.
Harnessing the data coming from developer tools, bottlenecks will continue to be reduced in the year ahead, allowing developers to focus more time to writing code. At Launchable, we’re improving development velocity by making testing smarter.
Related Article: Ensure Quality Code Without Sacrificing Development Speed
Another huge trend predicted in DevOps this year is more widespread adoption of low-code applications. Low-code or no-code applications require little to no coding to build processes and applications, and instead rely on simpler drag-and-drop features and visual interfaces.
While low code tools are a point of controversy and contention within some DevOps circles, low code can also be hugely helpful in improving the productivity of developers. On a grander scale, low-code applications allow more people to tap into the powers of software development, without needing extensive, formal training. For many pundits, that kind of tech democratization is only a good thing, and is predicted to prove hugely useful as many remote work and school situations continue.
Finally, one more trend expected to shape 2022 is the continued rise of DevSecOps, or Development, Security, and Operations. DevSecOps is focused on making security a core responsibility of each and every DevOps team member and throughout the entire software development cycle. The DevSecOps framework puts security front and center, from team culture to development to testing.
Is the future of DevOps teams a pivot to DevSecOps? It’s likely that as more and more applications become cloud-based, security threats will continue to morph and grow. Plus, embracing DevSecOps can be linked to a boost in developer productivity, as developers can spend less time dealing with security issues and respond faster to threats.
One thing is for certain: DevOps teams working in 2022 are likely to encounter the DevSecOps mindset more and more.