"While building apps I learned that writing code is only half the journey - getting it deployed, updated, and running reliably is also just as important if not more. When I started deploying my apps to the cloud, I realized how many manual steps it took to get the app running. That's when I discovered CI/CD and GitOps tools that automate everything from testing to deployment, so developers can focus on writing code instead of wasting time on manually deploying each time."
"We'll explore open ecosystem tools like GitHub Actions and Argo CD, for CI/CD there are also many open source tools available like Jenkins, CircleCI, etc. But for the purpose of this article I have chosen GitHub Actions as my CI/CD tool and I have also compared them to AWS services like CodePipeline and CodeBuild, and see how I used them to automate the deployment of my own microservices project on AWS EKS(Elastic Kubernetes Service)."
"Understanding Microservices Deployment Challenges - Why deploying microservices is harder than monolithic apps and how automation helps. Understanding CI/CD Pipeline- Breaking down Continuous Integration (testing, building) and Continuous Deployment (delivery to production). Understanding GitOps- How Git acts as a single source of truth for deployments, and how tools like Argo CD and Flux implement it. Open Ecosystem Approach - Using GitHub Actions for CI and Argo CD for CD on Amazon EKS."
Deploying microservices requires coordinating builds, tests, container image creation, manifest updates, and cluster rollouts, which increases complexity and manual steps. Continuous Integration automates testing and building, while Continuous Deployment automates delivery to production systems. GitOps treats Git as the single source of truth for deployment manifests and enables declarative, observable cluster state using tools like Argo CD and Flux. GitHub Actions can be used for CI and Argo CD for CD on Amazon EKS, while AWS CodeBuild and CodePipeline provide native alternatives. Automation reduces manual errors, speeds release cycles, and enables reproducible, auditable deployments.
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