In our last post, we introduced DevOps and how itâs transforming the way teams build, ship, and run software. Today, letâs dive deeper into the DevOps lifecycleâthe backbone of every successful DevOps journey. Whether youâre a developer, tester, or business leader, understanding this lifecycle will help you see how ideas become robust, scalable applications in the real world.
The DevOps lifecycle is a set of interconnected phases that enable teams to deliver software quickly, reliably, and continuously. Unlike traditional âwaterfallâ models, DevOps creates a continuous feedback loop between development and operations, making it possible to innovate faster and respond to change.
Plan
Define goals, features, and priorities. Teams collaborate using tools like Jira or Azure Boards to break down work into manageable tasks.
Code
Developers write code, usually in small increments, and store it in version control systems (like Git). Code reviews and collaboration are key here.
Build
The written code is compiled and built into deployable artifacts. Automation tools (like Jenkins or GitHub Actions) ensure every code change is integrated and built rapidly.
Test
Automated tests (unit, integration, functional) run to ensure quality. Fast feedback here means bugs are caught earlyâsaving time and money down the line.
Release
Approved builds are prepared for deployment. This stage includes final checks, documentation, and sometimes manual approvals for production releases.
Deploy
Code is automatically or manually deployed to staging and production environments. Tools like Kubernetes, Docker, or cloud platforms help streamline and standardize this process.
Operate & Monitor
The application is live! Operations teams monitor its performance, security, and user experience using tools like Prometheus, Grafana, or ELK Stack. Any issues are detected early, and feedback from users flows back to the planning phaseâmaking it a true loop.
Plan â Code â Build â Test â Release â Deploy â Operate & Monitor
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This cycle repeats continuously, creating a culture of constant improvement and rapid delivery.
Start by mapping your current software process to these stages.
Identify bottlenecks or manual steps that could benefit from automation.
Begin adopting DevOps practices incrementallyâsmall wins add up over time.