10 DevOps Trends You Need to Know About – Part 3

As the time goes on, DevOps as a service evolves and gains new trends. While some of them are not too widespread yet, they might have a significant impact on the industry in the future.

In the previous parts of this series, we described both the 3 hot DevOps trends for 2017 and the DevOps trends we think will gain traction in 2018. However, there still are certain trends that are just gaining notion nowadays and will not come into full power quite soon. However, these DevOps trends might transform the way we provide and expect to receive the DevOps services.

Agile is back to the roots

15 years have passed since signing the Agile Manifesto. Agile methodology in general and Scrum, as a set of rules and practices in particular, have truly revolutionized the process of software development. However, many DevOps worldwide are not satisfied with the direction the evolution of the paradigm took. To deal with the issue, the Modern Agile and the Heart of Agile (from Alistair Cockburn, one of the initial Manifesto signatories) movements were introduced back in 2016, in the Agile 2016 keynotes.

Both approaches continue to gain followers and might disrupt the way we leverage Agile someday. If your developers share the same vision, it might be worth it re-evaluating your approach to software delivery to better align with the principles.

Shift to the left should occur

There is the “shift to the left” tendency, which means moving all sorts of testing to the earliest terms possible, to the left in the software delivery pipeline. Thus said, security and compliance requirements should be taken into consideration from the very beginning of the software development process, and appropriate testing should be provided at the earliest possibility.

Following this practice helps to ensure integrity and transparency of the code, as all the compliance and security demands are fully implemented from the get-go, so the final product is much better polished.

Data DevOps are emerging

DevOps helps in solidifying and structuring the software delivery pipeline. The core principles of DevOps, however, are applicable to literally any business process, data analytics included. When the infrastructure for Big Data lakes is built using DevOps tools and approaches, the efficiency of the Big Data processing grows drastically.

See also: 10 hot trends of Big Data Analytics for 2017

After all, an increased versatility while designing, developing and maintaining Big Data infrastructures means more cost-efficient and fast analysis of both stored and incoming data.
As using AI and machine learning in business operations will gain more and more popularity over time, the role of DevOps services will only grow. Knowing and understanding the basics of Big Data processing will become more and more widespread and expected of a DevOps talent.

Transition to DevOps worldwide

Though DevOps is almost 10 years old, the paradigm was still not considered as the main approach to software and services delivery by enterprise business worldwide. Many multinational corporations still stick to the old ways and leverage their proprietary ecosystem and infrastructure. DevOps services are used only for small pilot projects if any are used at all.

The main reason for that was the fear of failing with transition to DevOps.

See also: Transition to DevOps: 5 sure ways to fail

This is inevitably due to change, as more and more industry leaders ensure that transition to DevOps is a feasible and doable endeavor that will bring great results in the long run. Indeed, the transition to DevOps can help the businesses solve multiple issues, and some businesses are better positioned to engage in it (we are talking about instating the DevOps services in banks here.)

Conclusions

Here we wrap up our list of 10 DevOps trends you need to know about. While some of them are rocking hard right now, some are only gaining notion but will definitely influence the way DevOps as a service evolves. We are confident with time the choice will be simple: adopt DevOps or go out of business.

What will you choose?