The COVID-19 pandemic’s influence on businesses and people is now being investigated, and its consequences will be recognized for years to come. From far more remote workers to supply chain concerns that no one knew about, the past year has delivered more innovation and inventiveness than ever before. One key message for CEOs and everyone else is how technology has aided people’s capacity to continue working, learning, receiving services, and communicating.
In the last two years, enterprises have seen an active implementation of projects for digital transformation, including initiatives to break the isolation between development teams and IT operations management (DevOps) teams. Microservices, serverless computing, DevSecOps, Kubernetes, and applications based on low-code platforms all contribute to this expansion in the coming year and will assist DevOps teams to become more productive and efficient. The key objective is to strengthen the relationship between development and IT operations.
For most companies, IT has moved from helping run the business to a mission-critical role. Developers and DevOps professionals have now suddenly found themselves in a world of opportunity, and they are once again focusing on frequent improvements and new innovations. Looking to the future, we’ve compiled a few top DevOps trends for 2022.
- More Kubernetes
K8s is already firmly rooted in DevOps, but in 2022 even more companies will implement it. The reason is simple: it’s convenient. Kubernetes makes it easy for developers to share applications and software with admins in real time. Productivity is increased by making pipelines easier to build, test, and deploy in DevOps.
Kubernetes, like other container management systems, reduces the human factor and to some extent promotes NoOps technologies. K8s approach to pipeline architecture helps developers use ML and AI tools to explore, predict and automate workflows.
The number of companies supporting Kubernetes is growing faster and faster. The most common reason is its ability to reform cloud applications with container-centric microservices.
The DevOps community is no stranger to automation, but just because an organization can automate doesn’t guarantee it’s effective at DevOps. Highly advanced organizations are far more likely to use considerable automation, with 90% of respondents saying that their teams have automated most of their repetitive jobs.
When implemented, these efforts will be extremely useful for firms that are not deemed well developed. Teams must not just focus on automating the entire pipeline to do this, but they must also be prepared to integrate AI and machine learning.
Organizations will be able to understand where blockages or throughput concerns are occurring by applying machine learning to the delivery lifecycle. Problems can be dealt with more efficiently as they arise with this information. AI-powered predictive analytics could make the DevOps pipeline smarter in two ways: by anticipating challenges and providing feasible solutions.
- SRE and DevOps will complement each other
SRE and DevOps will complement one another, in accordance with the Google Cloud 2021 Accelerate State of DevOps reports. DevOps will use the service level indicator approach in particular.
When compared to teams that are far from SRE practices, teams who excel in current practices are 1.4 times more likely to report higher CD and performance scores. Additionally, these teams are 1.8 times more probable excellent business success.
- Multi Cloud and hybrid solutions
It’s no secret that using the cloud as your primary business platform reduces investment and provides system flexibility. However, in the future, you will meet more and more hybrid fans who prefer to store their mission-critical business applications in their own data centers – and simultaneously take advantage of multiple cloud providers.
This approach is partly shaped by the need to migrate to / from the cloud, and many customer systems during this period begin to duplicate themselves. Greenfield projects (projects that do not have the so-called legacy – restrictions imposed by previous work; by analogy with greenfield land building) prefer to start immediately in the cloud.
All popular cloud providers have their pros and cons, so the multi-cloud strategy, which is gaining popularity, allows you to get the best combination of price and quality of services. At the same time, the financial side of the issue is now fading into the background. Business owners are focused primarily on ensuring the viability of their systems, and the number one issue for them is the suitability of services for the needs of their project.
- Rapid growth of low-code
And finally, it is expected that by the end of 2022, most development environments will switch to using software based on low-code platforms. In the DevOps community, the latter are still disputed, but they have proven effective in terms of improving developer productivity. Many of them fear that the advent of low-code platforms could make them unemployable, but others firmly believe that they are helping developers rather than hurting them. The reason for this is that developers prefer to use Low-code and No-code tools in order to get through what you might call the remedy phase of app development where you concentrate on the challenging parts. Performance improvement is another incentive that will force developers to use low-code more actively.
More low-code tools will be implemented in the software development process. Over time, they will assist the whole development cycle, affecting all aspects of development, including application ideation, documentation, release management, solution design, development, user testing, and more. Low-code solutions will allow developers to concentrate on the whole picture, whether it’s DevSecOps or Kubernetes, microservices or serverless computing.
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