Five DevOps Predicted Trends You Need to Keep An Eye On

By 2023, the DevOps market is predicted to generate $10.31 billion. This is a whopping 255% gain since 2017 when the industry accrued $2.9 billion.

More businesses are turning to DevOps to streamline processes in order to alleviate wasting time as a result of inefficient systems (after all, time is money). With refined processes, teams can focus their attention on critical things, rather than fixing bugs and vulnerabilities in code, which could be done through sleeker automation. New technology and software helps to trim down time-spend while retaining quality, performance and security of product deliveries.

What this means, in a nutshell, is that with successful DevOps methodologies in a company, products are able to hit the market sooner than they would otherwise, without sacrificing any of the steps of quality assurance.

We’ve put together the top five trends we expect to develop in the DevOps field:

The Top Five Predicted Trends in DevOps We Expect To See Emerge:

1. Laser Focus On Automation

Forget location, DevOps is all about automation, automation, automation. As technology is more integrated into business operations, we expect that zero-touch automation will be right at the forefront of DevOps.

The six C’s of the DevOps cycle (Continuous Business Planning, Collaborative Development, Continuous Testing, Continuous Release and Deployment, Continuous Monitoring, and Customer Feedback and Optimisation) are crucial to achieving quality and sustainable automation. As software progresses, we anticipate seeing more automatic systems in place from the beginning of the cycle to the end.

2. Moving From Pipelines To Assembly Lines

The objective of DevOps is to streamline the efficient process between planning and automation in the delivery procedure.

In order to maintain achievable deadlines and reach effective collaboration between the processes, we believe there needs to be a shift from doing Continuous Integration to instead focus on Continuous Delivery. While we know this requires a little more time and effort in understanding the full software development process, we fully expect that it will offer more thorough systems that will ultimately be more effective.

3. An Increase In Artificial Intelligence (AI)

As the number of apps driven by AI increase, Data Science teams are nudged in the direction of taking a DevOps approach in their workflows. As a result, we foresee DevOps methods to be the number one choice when Data Science teams need to automate pipelines, as well as in dealing with testing models in the production chain.

4. Cracking The Coding

Technology, specifically information technology, has come to the point where it relies on coding. The foundation for DevOps tools and software needs to be built on code which can be used to increase efficiency in the delivery cycle.

In order to stay ahead, we strongly advocate taking a friendly approach to coding. We believe it’s going to become more and more crucial as more systems integrate with automatic scripts. For example, testers in the industry are going to thrive if they have coding backgrounds and if they are able to write test scripts. We encourage teams within DevOps to build their technical abilities in order to offer the most efficient software.

5. More Embedded Security

Safety is critical for a company’s reputation and there are countless cases of companies that have sunk as a result of a security breach.

Statistics back this up too. According to research conducted by ACI Worldwide, 83% of customers would plan to stop spending money on a company for months after a security or data breach.
Companies are quickly taking note of how offering cyber-security is important in long-term success. Similarly, we predict that security automation is going to become rapidly more prevalent in DevOps.