DevOps, which evolved from earlier Agile methods, is still a relatively new concept in the computer industry today. Although not all teams have adopted the DevOps concept fully, its implications are already being seen throughout the business.
We have seen several DevOps trends that are swiftly moving to the forefront of the market as new technologies and concepts arise from the notion of enhancing DevOps. Therefore, we’ve picked five of the most important trends that we believe will be big in the next year.
DevOps: What is It?
An organization’s capacity to provide applications and services more quickly than using conventional software development procedures may be improved with the help of a set of techniques and technologies called DevOps. Businesses may better serve their clients and compete in the market because of this speed.
DevOps, in its simplest form, aims to eliminate long-standing communication obstacles between development and operations teams. Teams in DevOps work together across the whole life cycle of a software program, from development and testing through deployment and operations.
In order to balance demands across the whole software development life cycle, from coding and deployment to maintenance and upgrades, a DevOps engineer creates methods, tools, and techniques.
DevOps Trends to Pay Attention To Through 2023 and Beyond
As a fantastic alternative to conventional design, microservice architecture is growing in popularity. Decentralized teams may innovate more quickly, maintain control over the technology stack, monitor performance metrics, and ultimately shorten time to market by expediting the development and release process thanks to DevOps methods and microservice design.
With the use of microservices, huge programs may be divided up into more manageable chunks on the cloud. The teams may achieve shorter release intervals as a result. In addition, if you have a well-thought-out strategy and automated DevOps procedures, updating systems using microservices is simpler.
Although serverless computing has been around for a while, its uptake shows no signs of diminishing. Since many DevOps teams currently use modular components, the switch to serverless alternatives is a no-brainer.
DevOps teams may shorten their lifecycle using serverless computing by keeping more control over their deployments, making upgrades simpler, and increasing productivity. Your DevOps team may break away from standard cloud architecture by unloading the responsibility for owning and maintaining infrastructure and reducing expenses with popular serverless computing alternatives and pay-for-use plans.
ML and AI
The use of AI in the DevOps process may assist to automate and simplify several software development-related operations. AI, for instance, may assist with code changes, deployment, and more, freeing engineers to work on higher-level tasks like managing the whole development process or developing new apps. Deeper automation is made possible through machine learning, an element of AI that gives computers the capacity to learn from given data or functions in real-world situations.
These technologies may improve feedback and warnings in addition to automation, which will help software engineering teams work more efficiently.
Automation offers advantages including faster processing, higher output, improved accuracy, and higher quality. A more predictive feature that can assess the DevOps pipeline, pinpoint problems, and suggest adjustments before difficulties arise will be part of the advancement of AI and ML.
An operational process and infrastructure built on code is known as GitOps. In this evolving version of infrastructure code and application development, version control, collaboration, CI/CD technologies, and other DevOps best practices are used. GitOps, a relatively new addition to the DevOps process, aids teams in automating and managing infrastructure. Developer teams may manage infrastructure and software deployment using Git pull requests.
Security is mandated by DevSecOps between development and operations. It is a method of developing software that incorporates security components at each step up to the successful delivery of a built solution. DevSecOps developed from DevOps, hence it’s generally assumed that the adoption of DevSecOps will pick up steam soon. Development teams can address the most pressing security issues at DevOps speed thanks to the DevSecOps approach, which integrates security into the CI/CD pipeline.