Dev and Ops may finally become one where these are no longer treated as separate functions. They will function as one team under the governance of a process-based platform that executes critical technical and business necessities across all steps of the software delivery lifecycle.
But, of course, there are various challenges, as it can’t just magically happen. Therefore, the answer to ‘’What’s new in DevOps?” will be the rise of multiple trends to enable the unification of IT Ops and Development teams.
Here is a list of trends that will dominate DevOps practices in 2023 –
Increase in Low-code Platforms
Low-code platforms have been there for quite a few years, helping developers to minimize code. But, this is gaining more fame now because the gaps in operations close faster and separate developers from the IT Ops team.
With low code, IT Ops engineers can also contribute to the app functionality development and streamline processes, even when they aren’t seasoned coders.
Also, low code helps developers to play a vital role in configuring software. It also lowers risk as developers can create configurations without being dependent on the IT Ops team.
It is essential to mention the challenges of using low code, like the risk of security vulnerabilities in the pre-configured modules. These challenges might limit the usage extent of low code. Still, in general, there will be a continuous increase in its adoption in 2023.
Heightened Usage of Kubernetes
2023 expects to see more migration of workloads to Kubernetes as it has become the de facto platform for hosting containerized apps.
IT Ops engineers and developers love Kubernetes because it provides a predictable, consistent way to run apps and a highly reliable and systematic way of deploying apps.
Kubernetes helps DevOps teams reduce infrastructure burden by letting containers operate on different machines/environments without breakdowns. The flexibility and scalability that it provides make it the most popular orchestration platform. Thus, Kubernetes helps bring Dev and Ops teams together, which only a few other platforms can do.
Propagating DevOps Automation
Earlier, automation in DevOps meant automating software delivery processes like CI (contiguous integration) and deployment of apps. In the future, we will likely see DevOps teams bringing automation to other aspects of IT operations and management. Businesses are more likely to adapt to large-scale automation to ensure app quality and risk management.
Automation will help bring more speed to the processes of development and operations. The traditional approach to a workflow, like software testing and checking security response, would slow down the processes in the future. Using automation on a larger scale will reduce friction, and DevOps can be made more agile and efficient.
Using AI and ML on a Larger Scale
AI and ML are not new technologies and are already in use. However, until recently, the benefits DevOps reaped from AI and ML were limited.
The tool vendors often promise to deliver out-of-the-box things. Yet, the functions are pretty basic, like anomaly or pattern detection.
Finally, things seem like they are changed as this is the ‘new age of AI.’ DevOps tools can now perform truly advanced functionalities like automatically managing workload configurations and catching security threats in complex settings where access is limited.
With the next-gen AI and ML tools, DevOps teams can work together highly efficaciously as these tools address challenges that both teams care about.
The team stakeholders can work toward common goals, such as compliance, operations, and security. These steps will help in the complete conjunction of the Dev and Ops teams.
Gear Up for the Future of DevOps
We are definitely headed towards the era where application-centric platforms will govern them and bridge the gaps in quality assurance and security.
However, those platforms are still in the making, so for 2023, the primary trend will be to find ways for Dev and Ops team members to work closely with the ongoing trends and tools they have.
