DevOps Lifecycle - End-to-End Pipeline
About This Architecture
End-to-end DevOps lifecycle spanning Plan, Code, Build, Test, Release, Deploy, Operate, and Monitor phases with AWS native tooling. Data flows from Jira tickets through CodeCommit, CodeBuild, and CodePipeline, with security scanning via Trivy and Checkov, infrastructure-as-code validation, and deployment to ECS/EKS clusters in a VPC-isolated production environment. The architecture demonstrates continuous feedback loops: CloudWatch metrics and X-Ray tracing feed back to the Operate phase, while SNS alerts trigger incident response runbooks. Fork this diagram to customize your AWS CodePipeline stages, add additional security gates, or adapt container orchestration choices between ECS and EKS.
People also ask
How do I design a complete DevOps pipeline on AWS from code commit through production monitoring?
This diagram shows an 8-phase DevOps lifecycle: Plan (Jira), Code (CodeCommit), Build (CodeBuild), Test (security scanning with Trivy/Checkov), Release (Terraform validation), Deploy (CodeDeploy to ECS/EKS), Operate (incident response), and Monitor (CloudWatch/X-Ray). Feedback loops from observability back to operations ensure continuous improvement and rapid incident response.
- Domain:
- Devops Cicd
- Audience:
- DevOps engineers and platform engineers implementing end-to-end CI/CD pipelines on AWS
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