DevOps is often reduced to "developers and operations teams working together," which is true but incomplete. In practice, it's a continuous, cyclical process spanning planning, building, testing, deploying, and monitoring software — with automation connecting every stage.
Teams plan work using tools like Jira, breaking larger goals into trackable tasks. Developers then write code, typically working in feature branches and using Git for version control, with code review as a standard gate before merging into the main branch.
Once code is merged, a build tool (Maven for Java, npm/webpack for JavaScript) compiles and packages the application. Automated tests run against this build immediately — this is the Continuous Integration piece covered in the CI/CD article — catching problems before they ever reach a human reviewer or a production environment.
Successfully tested builds are packaged (commonly as Docker containers) and deployed, often orchestrated by Kubernetes or a cloud provider's native deployment tooling. This stage increasingly uses Infrastructure as Code (tools like Terraform), where the entire server and network configuration is defined in version-controlled files rather than manually clicked together in a cloud console.
Once live, the application is continuously monitored using tools like Prometheus (metrics collection) and Grafana (visualization dashboards), watching for performance issues, errors, or unusual traffic patterns. This monitoring data feeds directly back into planning — real production issues become the next sprint's priorities, closing the loop.
DevOps isn't a single tool or a one-time setup — it's a continuous cycle where planning, building, testing, deploying, and monitoring all feed back into each other, with automation removing manual bottlenecks at every stage. Companies that do this well ship more frequently, with fewer production incidents, than teams still treating deployment as a rare, high-stakes event.
Both, in practice. DevOps started as a cultural philosophy and set of practices for breaking down silos between development and operations teams, but many companies now hire dedicated "DevOps Engineers" who specialize in building and maintaining this automation.
CI/CD is one specific, essential practice within the broader DevOps philosophy — the automated pipeline from code commit to deployment. DevOps encompasses that plus monitoring, infrastructure management, incident response, and the cultural collaboration between teams.
Start with Git (version control), Docker (containerization), a CI/CD tool like GitHub Actions, and basic cloud fundamentals on AWS. Kubernetes and Infrastructure as Code tools like Terraform are natural next steps once those fundamentals are solid.