The DevOps methodology combines the practices of development and operations. It allows for the rapid delivery of applications and services. In a broad sense, DevOps promotes better communication and collaboration between development teams. More narrowly, it describes the adoption of iterative software development, process automation, and the implementation and maintenance of a programmable infrastructure.
DevOps methodology has become one of the most popular programming methodologies

The DevOps movement has its origins in 2009, and its founder is considered to be an independent IT consultant, Patrick Debois. This approach has evolved dynamically since then. During the pandemic, the DevOps methodology has become one of the most popular programming methodologies. Its development has exceeded the expectations of many users. What is building a strong DevOps position today? What trends related to it can we expect in 2022?

Microservices in DevOps practice

Microservice Architecture enables fast and reliable delivery of large, complex applications. It breaks them down into small parts, independent services that are flexible and scalable. That is the opposite of traditional monolithic architecture. In the latter, introducing even the small change may be problematic and is usually associated with the need to implement a new version. Scaling the entire application, a large team of programmers and users complicates and extends the production process. Meanwhile, microservices can be built, tested, and deployed by independent developers.

The transition of many industries to microservice architecture is currently underway and will continue. In most cases, the benefits of this shift will outweigh its complexity. Especially since this trend is strongly related to cloud computing.

Application of DevSecOps

DevSecOps is one of the new DevOps trends. It is about combining DevOps with security. Attacks, vulnerabilities, and security breaches cause problems across networks. DevSecOps will analyze security issues and incorporate new technologies to eliminate threats.

This approach can also lower project delivery costs and speed up teams. The value of the global DevSecOps market will reach the US $ 17.16 billion in 2027. Companies take security as an obvious product function and make it a requirement that should be considered in all aspects of the system and software lifecycle.


The serverless architecture market is one of the most important DevOps trends. It sets new standards and reduces infrastructure costs. It improves its speed and efficiency. The use of serverless architecture will ensure flexibility, speed, and cost-effectiveness (rule: we only pay for what we use). It will also relieve programmers from maintenance obligations.

GitOps is becoming the new norm

As we’ve already written about in one of our last blog posts – GitOps is the best way to deliver consistently. GitOps also provides implementation, monitoring, and management of the entire project in one place. Automated CI/CD pipelines introduce changes to the infrastructure, use tools to compare the actual state of production. We will receive information when there are discrepancies from it.

The goal of GitOps is therefore to accelerate development and ensure security and protection for introducing changes.

Infrastructure as code (IaC)

Infrastructure as Code (IaC) is a fundamental DevOps approach today. By converting all servers, networks, databases, and storage into lines of code, we can simplify and automate your infrastructure.

Infrastructure as Code (IaC) will also provide version control and a fallback to earlier points in the project.


Kubernetes, also known as K8s, is an open-source system for deployment automating, scaling, and management of containerized applications. It provides tremendous performance gains and the ease of testing, building, and deploying DevOps pipelines.

A lot of attention shifts from treating Kubernetes as an infrastructure system to an application system. This allows developers to leverage and rely on Kubernetes features early in the development cycle. The support of cloud service providers – AWS / Google / Azure – made Kubernetes easier and popularized.

DevOps and Artificial Intelligence (AI)

The DevOps team uses Artificial Intelligence (AI) and Machine Learning (ML) to facilitate the workflow. It also focuses on handling and managing big data.

The Artificial Intelligence approach has become a tool that provides a better decision-making process. The company „Gartner” predicts in its report that by 2023 40 percent. DevOps teams will use application and infrastructure monitoring applications with integrated Artificial Intelligence (AI). Teams will solve problems faster and with less effort, and automate more than ever before.

The use of automation in DevOps

DevOps takes into account-wide automation in the approach to its development. This is because it improves the workflow, increases the speed of software delivery, and also minimizes project turnaround times. An automation strategy is an absolute requirement in DevOps.

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