Top 6 DevOps Trends in 2022
DevOps has established itself as an indispensable software development methodology. Courtesy of its enticing benefits such as faster software delivery, improved quality, and high customer satisfaction. Amid the pandemic, DevOps gained huge prominence as it streamlined remote collaboration to facilitate agile development practices and infrastructure flexibility. In fact, 83% of surveyed organizations have implemented DevOps practices in 2021.
Even though DevOps is not a buzzword anymore, there are significant changes afoot in the field. New practices, technologies, and trends are making DevOps an exciting place to be right now – and in the future.
In this blog, we have curated the top trends and predictions that are set to shape the future of DevOps. Let’s have a look:
Top 6 DevOps Trends to Watch in 2022
1) Microservices Architecture
Microservices architecture bifurcates monolithic applications into small independent units, or services. This bestows DevOps teams with greater agility and scalability across the software development lifecycle. The DevOps teams can scale each application segment according to the business needs rather than scaling an entire application at once.
Moreover, the microservices architecture enables developers to deploy small features or functionalities without disrupting the entire code base.
This DevOps trend is set to gain significant momentum in 2022. However, one must be cognizant of the fact that suboptimal implementation of microservices can lead to severe repercussions, including data loss and security risks.
2) Serverless Computing
The massive CAPEX and OPEX of server infrastructure are the main factors driving the need for going serverless. Other prime USPs of serverless architecture are flexibility, reliability, speed, and cost-efficiency. Enterprises can channel their resources towards core business activities as the need for infrastructure management is the relic of the past with serverless computing.
Moreover, serverless computing relieves DevOps teams from the risk of potential maintenance issues. Backed by these benefits, the serverless architecture market is forecast to grow from USD 7.6 billion in 2020 to USD 21.1 billion by 2025.
3) Low-code Application
Amid the pandemic, many organizations have turned to low-code to develop and deploy applications swiftly. The shift to low-code software is expected to gain significant traction by the end of 2022. All thanks to the productivity boost the low-code methodology offers. Developers and DevOps engineers are set to join this trend, utilizing low code tools that offer nifty drag and drop elements.
As it matures, the low-code adoption is expected to support the entire software development cycle. It will support every aspect of software development, including app ideation, software design, code development, testing, release management, documentation, and more.
4) Kubernetes Towards Development
Kubernetes, an open-source container orchestration system, has emerged as an infrastructure trend (more on the operations side) in recent times. However, experts anticipate that Kubernetes will expand further into the software development realm in 2022. This paradigm shift will ease the task of starting a local Kubernetes cluster on a developer’s machine. This, in turn, enables DevOps teams to leverage Kubernetes features early in the development cycle.
In a bid to stave off cyberattacks, many large enterprises are integrating and automating security into their DevOps processes. The shift from DevOps to DevSecOps is expected to gain momentum in 2022, with more companies embedding security controls early in the software development lifecycle. This enables DevOps teams to continuously monitor and remediate security defects during development phases, improving the speed of delivery and quality.
AI has already transformed the way businesses operate. Now, it is expected to take the DevOps ecosystem to the next level by streamlining and accelerating every phase of SDLC. The AI infusion enables organizations to introduce absolute automation into DevOps. This aspect eliminates or reduces the need for human intervention across processes from code changes to deployment, reliving the DevOps team.