What is DevOps? And it’s Technological Advances.
“Showing a strong success and visible benefits is key to getting others to agree to try your way of doing things.” — Frederic Rivain
DevOps is a set of practices that automates the process between software development and engineering teams, in order to build, test and release software faster and reliably. Therefore, what DevOps does is bring together the best practices of software development and IT operations.
Many believe that at its essence, DevOps is a culture, a movement and a philosophy that will revolutionise the software industry and aid in achieving glorious accomplishments along the way through its agile techniques and developmental models.
Teams that practice DevOps are faster and are more reliable in terms of being able to complete the set amount of work in a given time-frame, with higher quality and stability.
A DevOps approach coexists with Agile software development, IT service management frameworks, project management derivatives and other strategies so as to execute IT projects to meet executive needs.
DevOps benefits include the following:
- Increased communications between development and operations leading to fewer silos
- Coverage for the whole software delivery pipeline (through builds, validations, and deployment)
- A focus on automation within the delivery pipeline
- Streamlined development processes by making development teams aware of possible issues that may appear in operation stages
- Broad roles in DevOps environments, allowing many IT generalists to find positions in DevOps teams.
Recent trends in DevOps in 2019:
- Shift of Focus From CI Pipelines to DevOps Assembly Lines:
Pipelines show a complete visualisation of your app from source control to production. You can see everything in a single pane. It not just about doing CI now, it is about CD (continuous delivery); organisations are investing their time and effort into understanding more about automating their complete software development process. In 2019, the shift is going to happen from just CI pipelines to DevOps assembly lines.
- Automation will become the primary focus:
In DevOps, we talk a lot about automation. If possible, zero-touch automation is what the future is going to be. It doesn’t mean you have to automate everything, but if you have to, then you should be able to do it.
- Testers Are Expected to Learn to Code:
Testers who know how to code and automate scripts to test various cases are in huge demand in DevOps. If you are a tester and in a dilemma over whether to learn coding or not, we recommend learning to code. Understanding different DevOps tools and automating scripts plays a vital role in software development today and this is going to dominate in 2019.
Testers are expected to perish if they don’t learn to code and write their own automated test scripts. Manual testing will become obsolete in 2019 and it consumes a lot of time. Automation in testing not only increases the efficiency but also ensures the features are delivered faster to the market.
- Increase in the Adoption of Microservices Architecture:
DevOps and microservices lately are going hand in hand. Microservices are independent entities and hence doesn’t create any dependencies and break other systems when something goes wrong. Microservices architecture helps companies make deployments and add new features easily. Companies are expected to move to microservices architecture to increase their runtime and efficient delivery. Don’t just follow others because they adopted it, know yourself and understand why you should adopt a microservices architecture.
- Security Will Become the Primary Focus — DevSecOps:
The CICD pipeline makes it possible to employ rapid changes daily to address customer needs and demands. The CI/CD pipeline can be automated as well, and hence Security has to be a design constraint these days. Thinking security right from the beginning requires security to be built into software instead of being bolted on, Security is no more an add-on.
- AI & ML Will Foster DevOps Growth:
AI and ML are perfect fits for a DevOps culture. They can process vast amounts of information and help perform menial tasks, freeing the IT staff to do more targeted work. They can learn patterns, anticipate problems and suggest solutions. If DevOps’ goal is to unify development and operations, AI and ML can smooth out some of the tensions that have divided the two disciplines in the past.