Top-5 DevOps Trends to Watch Out for in 2022

An open-source technology called Kubernetes, called K8, is used to deploy, scale & manage containerized applications automatically. With Kubernetes, software developers can quickly & share applications and software with IT operations in real-time. Kubernetes has increased by 84% since 2020, but a Red Hat survey found that 94% of respondents have experienced security problems with Kubernetes in the previous year.

Through Operationshub.io, Kubernetes has deployed over 29 different security applications. However, there are still other security applications and measures being implemented by outside firms like Aqua Security, Snyk, and Wiz, all of which got significant financing in 2021.

By utilizing approaches like infrastructure as code (IaC) scanning and other methods, security for Kubernetes is likely to make significant strides in 2022. Thanks to this fundamental shift, developers will find it easier to establish a local Kubernetes cluster on their machine.

As a result, DevOps teams can use Kubernetes capabilities early in the development cycle. Learning the best ways to use and integrate Kubernetes security applications will be quite challenging in the future because of how quickly they are expanding both within and externally.

The hardware and software that support cloud-native apps are called cloud-native infrastructure. These are often used to run cloud-based applications and are maintained by software and controlled by APIs. A couple of examples of cloud-native apps include microservices and Dockers.

The rate of cloud migration is anticipated to double because most DevOps teams employ cloud-based working environments and applications. It is especially true given how many teams and businesses are now totally remote or operate in hybrid environments.

For cloud-based apps and processes to work effectively, cloud-centric platforms must be set up. Many businesses already practice it. Every business needs to adopt CMP (Cloud Management Platform) properly and quickly, given the rising use of the cloud. Firms can elevate their cloud computing resources and boost operational efficiency by aligning CMP with DevOps.

Automation is not a new concept. Every industry has considered automating workflows, activities, pipelines, and other processes. The software development lifecycle can be sped up using automation, which offers real-time process improvement insights.

Teams can directly publish applications to AWS, GCP, or Azure by automating cloud-native tooling. By empowering your team, automation in the azure DevOps pipelines helps to remove manual errors, cut down on lead times, eliminate latency, and remove dependence on individual performance.
Increased consistency, dependability & quicker and more frequent releases are all benefits of using automation in DevOps. Automation’s ultimate goal is eliminating inefficiencies while fostering dependable and consistent output.

Additionally, using automation in DevOps can improve product consistency and assist businesses in releasing updates more rapidly and frequently. Automation can also help lower personnel expenses and provide what is needed for success.

Applications are being deployed and delivered more quickly due to edge computing’s assistance to AWS DevOps teams in handling data safely and effectively.

Edge computing in DevOps enables partners and stakeholders to quickly move code from test to production by leveraging continuous delivery and integration. A distributed computing approach called “edge computing” moves computation and data storage closer to the data’s sources.

A portion of the data and computer resources are deployed closer to the raw data source rather than being transmitted to servers at data centers for processing or analysis. It can lead to better data management, lower connectivity costs, more secure procedures, and more dependable connections

The DevOps process has recently included GitOps, a tool for automating and managing infrastructure. A Kubernetes-based paradigm called GitOps enables IT operations and development teams to use Git to manage clusters and deliver applications.

Developers can manage infrastructure and software deployment using Git pull requests by building a Git workflow in operations and development teams. GitOps uses conventional development tools for CI/CD management of cloud-native and clustered apps.

It uses Git as a standalone source of truth to automate cloud-native applications’ deployment, monitoring, and maintenance. GitOps provides version control for alerts, real-time monitoring, and configuration changes. As a result, it enables firms to enhance infrastructure management.