The DevOps trends and best practices that you should pay attention to in 2022

2022-09-25 11:30:00
DevOps Aura International
Original 494
Summary : DevOps has been evolving since 2009, and several current studies have shown its promise of DevOps. This article shows the DevOps trends making it one of the most popular technologies during the COVID-19 pandemic of 2020 and 2021.

DevOps, which combines development and operations, has become well known. DevOps has been evolving since 2009, and several current studies have shown its promise of DevOps. This article shows the DevOps trends making it one of the most popular technologies during the COVID-19 pandemic of 2020 and 2021.

With the rapid rise of DevOps. Most companies are now devoting 10%-49% of their overall QA budget to test automation.

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What are the latest trends in DevOps?

Digitalization and automation are becoming ubiquitous in each technology unit and even more prosperous than in previous years. It is worth engaging with these trends as part of your business strategy by exploring the DevOps trends of 2022.

Highlights on the different trends in DevOps

1. Microservices architecture

According to Statista, 80% of respondents believe that DevOps is very important. Microservices architecture is already one of the leading applications for 2021. It divides data into several separate units or entities with flexibility and scalability. At the same time, we match monoliths and microservices and determine when they can be implemented clearly.

The predictions for DevOps in 2022 show that there will be some minor changes in this cycle that could be trouble-free. The global market value of microservice architectures was $2,073 million in 2018 and is expected to reach $8,073 million in 2026.

DevOps will always need to deploy new releases where you can't deploy some of the secondary features or functionality.

Microservice architectures are included in this regard, and DevOps enquiries are also on the rise. DevOps with a microservices architecture can effectively address the complexities it presents by enabling flexible cycles. Customization can also lead to more scaling options.

2. Adoption of DevSecOps

DevSecOps is a new trend in DevOps, which means the combination of DevOps and security. Although this may seem like a new concept, it has been widely used recently. With security vulnerability problems around today's different webs causing attacks and security breaches, DevSecOps finds an agile security web that identifies security problems and combines them with new technologies to avoid various risks.

In addition, DevSecOps can also reduce costs significantly and accelerate progress. A proven market survey shows that the global DevSecOps market is worth about $2.18 billion in 2019 and will increase to $17.16 billion in 2027. This means it has been growing at a compound annual growth rate of 30.76% between 2020 and 2027. The current trends and forecasts for DevOps development show that DevSecOps systems ensure the security and suitability of systems.

3. Progress towards complete serverlessness

The logic of DevOps' recent adoption and one of the trends in Top DevOps are moving towards a total serverless point. As DevOps technology continues to evolve, the market for serverless architectures continues to advance towards new standards while simultaneously reducing the cost of infrastructure.

The results are also getting better, with speed and efficiency in them. Using serverless architectures ensures that developers do not have to perform maintenance. This means that there has been a continuous shift towards a new generation of microservices.

4. Hybrid is a new deployment norm

In 2021, industries were embracing the exploitation of hybrid models in some ways. The latest DevOps practices mention that companies fully embrace hybrid work teams to combine the benefits of remote work with on-site team collaboration. In addition, business models are changing. For example, they are having an impact on conferences.

Hybrid networks can combine virtual skills with local networks. As companies improve their technology stacks to take full advantage of cloud-native technologies, hybrid models are becoming the standard for deployment.

5. Resilience testing becomes mainstream

There has been a continued focus on resilience testing in the DevOps community. There is an intersection of performance, testing, observability, performance testing and resilience testing, and it is becoming mainstream.

So as far as the latest DevOps technologies are concerned, it is fair to say that a massive digital transformation is accelerating across all sectors. The market will quickly recognize that the scalability of public and private clouds is limitless.

6. GitOps becomes the new normal

The development process always requires tools that developers know and understand. Therefore, in terms of technology, GtOps and DevOps are the best way to achieve continuous delivery. More specifically, it could be argued that building an operating model for cloud-native-based applications is about taking full advantage of these relevant new technologies.

GitOps also ensures that deployment, monitoring and management are done in one place. As a result, it operates as a declarative infrastructure that also serves as the source code for the application.

When it comes to automating the CI/CD pipeline to introduce changes to the infrastructure, various tools are often used to compare the actual production state. It also considers what is under source code management and can alert you if it is inconsistent with it.

So, we could state that the ultimate aim of this technology is to accelerate development and allow teams to incorporate changes and updates at any time. In addition, there would be a security guarantee when changes occur throughout the environment. In addition, this also ensures that complex applications running in Kubernetes do not encounter problems due to the presence of flaws.

7. Integration of infrastructure as code

In a cloud environment, the core tenet of DevOps is Infrastructure as Code (IaC). Storage devices and service networks, whether on-premise or in the cloud, all lie within the realm of 'code'. This enables the automation and streamlining of a company's infrastructure.

In addition, Infrastructure as Code provides a direct infrastructure version control system to ensure that teams can roll back to the end. Infrastructure such as Code and DevOps enables systems to recover quickly and reduce downtime.

8. CISOs with a DevSecOps model

The CISO's acceptance of the DevSecOps model is a recent trend as it brings a 'security-first approach to the DevOps process.

In this regard, DevSecOps integrates security and compliance testing and connects to the development pipeline. This technology ensures rapid speed and agility are integrated into the security mechanism.

In addition, this technology prompts users to respond to changes so that vulnerabilities and bugs can be found quickly. When modern organizations expect to adopt serverless, Kubernetes and cloud-native technologies, the focus of CISOs is on security. As automation evolves, DevSecOps becomes more programmable.

9. Enabling Kubernetes

Kubernetes makes it easy for developers to share software and applications that IT operations teams need. This is all done on a real-time basis. Errors occur due to differences in IT environments and infrastructure.

Kubernetes ensures that barriers can be overcome, with teamwork and efficiency as the goal. Choosing Kubernetes for workflows can greatly increase productivity. In addition to this, it also facilitates the testing/build/deployment pipeline for DevOps.

10. Integration of artificial intelligence

DevOps teams use artificial intelligence and machine learning technologies to drive workflows. In this particular case, artificial intelligence can be said to optimize the DevOps environment. In addition, it works to process and manage big data.

Today, an AI-led approach is an excellent means of guaranteeing better decision-making processes. Gartner reports that by 2023, 40% of DevOps teams are expected to use application and infrastructure monitoring applications that integrate artificial intelligence. Artificial intelligence ensures data accessibility and provides seamless data for DevOps teams.

11. The use of automation

The strategy envisaged by DevOps is to automate everything. From this point of view, automation in DevOps speeds up software delivery and minimizes preparation time.

You can get to market more quickly and improve workflow. There are several common benefits, including driving flexibility, agility, etc. Automation accelerates all the work associated with DevOps.

This means that it can greatly facilitate building, deployment and monitoring. In other words, an automation strategy becomes necessary for DevOps, which minimizes errors caused by human oversight or ignorance. Automation always plays an important role in delivering the desired results for customers.

12. Infrastructure automation and continuous configuration automation tools

DevOps teams want to automate with Infrastructure Automation (IA) tools. IA tools ensure the empowerment of DevOps personnel.

This means that it helps to manage the collaboration of multi-cloud and hybrid cloud infrastructures. In addition, internal design delivery services are involved.

In addition, there is the involvement of the cloud environment and the involvement of efficient resource allocation. The involvement of infrastructure automation tools with DevOps and I&O teams ensures that self-service is planned and implemented correctly.

Recently, most companies have been considering automating the delivery of services through internal and IaaS environments. The advantage is that DevOps staff can provide a degree of customer-facing flexibility. In addition, it can assist in driving great improvements.

  • The proliferation of Continuous Configuration Automation (CCA) tools is due to their assistance in managing and delivering configuration changes as codes. What makes it even better is the addition of extensions to networking, containers and security.

A few of the latest new metrics introduced are:

  • Application Release Automation (ARA)
  • IT Operations Analysis (ITOA)
  • Continuous Configuration Automation (CCA).

These entities are useful because they help ITOps teams achieve business success.

13. Promotion of chaos engineering:

The chaos engineering involved in DevOps has become one of the primary considerations in DevOps planning discussions. It is necessary to place DevOps in the traditional hierarchy of maturity models for comprehension.

From this particular perspective, it can be argued that chaos engineering proves to be the fourth to fifth highest discipline in the list of DevOps practices. There are already independent testing/quality assurance teams involved.

Words in the End

We have listed the DevOps trends worth keeping an eye on in 2022. The conclusion is that DevOps is already proven to be an emerging trend and the way forward for the IT industry. People can benefit a lot from effective and efficient DevOps solutions.

We want to point out that companies need experienced DevOps professionals to support the next generation of DevOps. This is to bridge the gap between development and operations. In addition, these technically perfect solutions can ensure that they can drive the growth of your business.

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