DevOps AI

As more data enters the world, artificial intelligence (AI), machine learning, and automation will continue to play bigger roles in nearly every industry. For example, when it comes to DevOps, AI may reduce the need for manual testing. The technology might be able to predict how code will act based on past activity and formal logs or may potentially manage certain standardized testing approaches, speeding up the development process.

Additionally, AI can review logs and performance flows to optimize the actual DevOps process. Inefficiencies or bottlenecks can be identified, recurrent issues can be found, and other problems that are hindering productivity can be brought to the attention of stakeholders, creating opportunities for course corrections and grander improvements.

Low-Code Tools

Today, developers still generate a ton of code by hand, and that can be a cumbersome and time-consuming process. However, emerging DevOps platforms are working to alleviate the strain associated with handwritten code through the integration of low-code tools.

With low-code tools, alternative approaches may speed up code creation. This could include point-and-click, drag-and-drop, if-this-then-that, and similar methods that reduce the need for handwritten coding by allowing the tools to generate the code based on easier to use features that handle that function.

In some cases, low-code tools may allow other professionals to get involved in the coding process. There will be a reduced need for understanding how to write code, so other tech professionals who don’t focus on development may be able to participate in this work to a higher degree since the solution can handle the technical part of creating code for them.

DataOps

Drawing directly from many DevOps principles, DataOps is essentially an evolution of DevOps for today’s data-driven world. The approach focuses on bringing DevOps-style benefits that developers enjoy to joint efforts involving developers, data engineers, data scientists, and operations.

While many of the core DevOps tools are still part of the equation, as well as newer technologies like AI automation, DataOps also requires some changes. More languages and frameworks will be involved, as well as data governance and other security-oriented policies and procedures.

Learn More Where DevOps is Headed with The Armada Group

Ultimately, all of the DevOps trends above should be on your radar. If you’d like to learn more about where DevOps is headed, the team at The Armada Group can help. Contact usto discuss your thoughts or questions with one of our specialists today and see how our tech trend expertise can benefit you.