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Future of DevOps: Top 6 Trends to Watch in 2022 & Beyond

Writer's picture: Violet MaileViolet Maile


The ever-upgrading technology is transforming every unit of the various industries, and digitalization and automation have flourished more in the past years than ever. Since the last decade, DevOps has established itself as an indispensable software development methodology for successful digital transformation. According to a survey, the DevOps market size will reach $ 20.01 billion by 2026, growing at a CAGR of 24.7% from 2019 to 2026. DevOps has facilitated rapid and dependable software development, delivery, improved quality, and higher customer satisfaction. DevOps is continuously evolving to meet the changing demands of the corporate environment. Let’s have a look at the top 6 DevOps trends to look out for in 2022 and beyond:

1. Serverless Computing

DevOps for businesses will see a rise in the adoption of serverless architecture, mainly because of the massive CAPEX and OPEX of server infrastructure. Numerous DevOps groups are working with modular components offering an overview of the pipeline. Moving these modular components to serverless architecture will empower groups to mitigate a few pieces of errands identified with pipeline architecture and focus on deployment and development of the product. Serverless computing streamlines overall DevOps operations, including the complete software lifecycle, from development to deployment, testing, and maintenance in one place. Also, serverless computing reduces the developer’s workload by taking care of server maintenance, such as cloud monitoring and system updates. Other prime USPs include flexibility, reliability, speed, and cost-efficiency.

2. Microservices Architecture

Microservices architecture is gaining popularity as an alternative to traditional architecture in the IT industry. Microservice architecture is a pattern of organizing computer systems into segments that can scale on demand. A Microservices architecture pattern is a progression of service-oriented architecture (SOA) that structures your application as a collection of coupled services. If anything goes the other way in the services process, microservices make it easy to identify and contain the issue without disrupting the whole application. DevOps and microservices architecture enables decentralized teams to innovate rapidly, maintain control over their tech stack and standards, track performance metrics, supervise the development and release cycles, and reduce overall consumption time by achieving shorter software release intervals.

3. Low Code Applications

Amid the pandemic, most organizations have turned to low-code mobile app development to deploy applications swiftly. Adopting a low code approach to DevOps is a game-changer for any team in 2022. It enables developers to experience higher agility and gives the organization a competitive advantage in the fast-paced, demanding software market. Low code applications allow non-technical people to contribute to software development with the help of visual interface integration. Both developers and DevOps engineers are set to play a crucial role in this trend, utilizing low code platforms and tools that offer nifty drag and drop elements and other extensions. The low code applications support every aspect of the software development, including app ideation, analysis, software design, code development, quality assurance, deployment, and documentation.


4. DevSecOps


Many large enterprises are integrating and automating security into DevOps processes. The transformation from DevOps to DevSecOps is expected to gain momentum in 2022. According to a forecast, the DevOps market size is expected to reach $5.9 billion by 2023 at a CAGR of 31.2% during the forecast period.

More companies will embed security controls early in the software development cycle. Tools and frameworks will simply integrate with CI/CD pipelines, and test tools will see a rise in 2022. DevSecOps empowers DevOps for business engineers to consistently track, monitor, and remediate security defects during the various stages of development while improving the speed of delivery and quality.


5. Kubernetes

Kubernetes, or K8s, is an open-source container orchestration system emerging as an infrastructure trend on the operations side. Kubernetes will expand further into the software development space in 2022 and beyond. It will ease the task of starting a local Kubernetes cluster on a developer’s machine. Kubernetes security is expected to see a giant leap as there is a massive opportunity through infrastructure as a code (IaC) scanning.

GitOps is a Kubernetes-based program that allows developers and IT operators to utilize Git to manage clusters and deliver efficient applications. It automates releasing incremental updates, and consistent delivery will enable developers to build, test, and deploy software rapidly.


6. AI and ML-Driven

Artificial intelligence and machine learning have already transformed the way businesses operate nowadays. In 2022, it is anticipated to take the DevOps ecosystem to another level by streamlining and accelerating every phase of SDLC with AI and ML integration. It enables DevOps teams to enhance their performance by improving feedback and managing alerts.

Advanced analytical methods like predictive analytics are becoming increasingly important as the market evolves. The proactive investigation of AI makes the DevOps pipeline productive in identifying problems and giving possible solutions. The AI and ML integration offer organizations to reach absolute automation into DevOps with deep learning, data mining, statistics, and modeling, becoming an integral part of your business’ workflow.


DevOps for businesses will continue to evolve and pivot to drive significant IT transformations that directly bolster business goals and objectives. It will assist in enhancing the company’s ability to design, produce, launch, and maintain high-quality software solutions. The above trends will help organizations move rapidly beyond automation, focusing on continuously improving the results for the users. They act as catalysts for creating a regular and dependable release pipeline and build better communication between development, IT, and business teams.


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