In the past few years, more businesses have started to adopt digital transformation initiatives, including eliminating the division between development and operations (DevOps) teams. Adopting DevOps has improved customer experience, dependable and rapid software delivery, reduced time-to-market, and collaborative culture, among other amazing benefits. This, in turn, has made DevOps approaches more crucial for businesses, and the popularity of these approaches is expected to grow in 2022.

Main DevOps Trends in 2022

With that said, it’s important to note that the DevOps market is still large and evolving. Besides, it’s become a priority for most businesses more than ever. In this post, we shall discuss the main DevOps trends to expect in 2022—please note that these trends are based on existing and future predictions. Read on for more information. 

Table of Contents

Shift to Serverless Computing Models

The adoption of serverless computing models has already started, and more businesses are expected to use these models in the future. These models can be implemented using cloud technologies such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Serverless computing also makes it easier for businesses to build products and run complete products without managing servers. This is made possible via services like AWS Lambda and Google Cloud Functions. In contrast, traditional cloud providers handle infrastructure management; however, they may charge customers relatively high prices for resource usage. Serverless computing allows users to focus only on code development—it automatically manages all infrastructure-level issues, such as scaling them up or down when required. And this will enable DevOps teams to build high-quality code without much effort.

Increase in Microservices Adoption

There has been an increased use of microservices since their release. These programs can be replaced or updated independently, offer faster delivery, improved scalability, and reduced failure risks. Businesses run into trouble when they try to manage too many dependencies at once—this is where microservices come in handy as they allow teams to develop components separately from each other. This gives users greater control over the system architecture without compromising agility or productivity. 

As mentioned earlier, serverless computing models make it easier for businesses to adopt microservices by eliminating infrastructure management issues. Plus, several established frameworks are available at present for creating efficient web services.

Adoption of DevOps Automation Tools

Many businesses have been looking forward to adopting DevOps automation tools as they make it easier for users to manage their projects from end to end. There has been a considerable increase in the number of tools available for this purpose—some of these are listed below:

Some examples of preferred DevOps automation toolkits include enterprise Kubernetes container platform kubeshpere (for container orchestration), Ansible (server configuration management), Chef (configuration management platform), Puppet (IT automation tool), and others. There are several other popular automation frameworks available on the market. And this is expected to have a long-term impact on the DevOps market in 2022.

Increased Use of Containers

The use of containers has taken off in recent years, especially after the release of Kubernetes—an innovative open-source system for managing containerized applications across clusters of nodes. As more businesses are looking forward to adopting DevOps practices, they are expected to invest more heavily in containerization frameworks such as Kubernetes and Docker Enterprise Edition (EE), among other platforms. For example, Red Hat OpenShift Service allows businesses to manage their software containers easily and effectively.

Additionally, there has been an increase in the number of tools available that can be used for making the development life cycle fast and efficient, some of which are listed below:

Another interesting fact is that many DevOps automation tools support Kubernetes. This means that users can implement their preferred automation frameworks without worrying about compatibility issues. 

Increased Use of Cloud Technologies

There has been a significant increase in the number of businesses looking towards cloud computing solutions over the past few years, especially after Google Cloud Platform (GCP) and Amazon Web Services (AWS). These types of services offer users access to scalable resources within minutes—plus, they help businesses stay flexible by allowing them to maintain only the data they need at any given time. Many companies have made it clear that they will continue relying on these technologies to build products and services in the future.

Increased Use of Chatbots & AI Technology

Over time, businesses started to notice that they could improve their efficiency and productivity by using AI-powered tools such as chatbots and intelligent automation systems. These technologies allow DevOps workflow upgrade during the development life cycle and automation of different tasks. Plus, there has been increased adoption of managed services—with services such as Amazon Lex allowing users to build applications with conversational interfaces more easily than ever before. 

In addition, many companies have already started implementing cognitive services, including IBM Watson—a powerful cloud-based cognitive-computing platform. Moreover, these efforts will continue for the rest of the decade as more users look forward to building cognitive applications to replace human interactions with machines.

Increased Use of Cloud-Native Technology

Those looking for continued growth should consider investing in cloud-native technology—as companies around the world are expected to shift their focus towards these types of technologies soon. However, it’s important to note that cloud-native apps can only be built using DevOps automation tools, containers, and microservices—and not without them. Developers should begin compiling their code into container images before shipping them off to production environments—even though this process may not result in a fully functional app immediately after completion.