AWS DevOps Checklist
EKS Platform Setup & GitOps Automation
Checklist Overview
This checklist provides a step-by-step guide for AWS DevOps consultants implementing EKS platform setup and GitOps automation. Each phase includes specific tasks with priority, effort, and impact ratings.
The checklist is based on proven patterns from infrastructure transformations that enabled $30M+ acquisitions. Use it as a roadmap for 8-12 week AWS DevOps engagements.
Why AWS DevOps Consulting?
Many startups struggle with slow deployment cycles and manual infrastructure management. AWS DevOps consulting addresses these challenges by implementing automated CI/CD pipelines and GitOps workflows on EKS.
Without proper AWS DevOps setup, teams face:
- •Manual deployment processes taking weeks instead of hours
- •Lack of Infrastructure as Code leading to configuration drift
- •No GitOps automation, requiring manual Kubernetes management
- •Inconsistent environments between development and production
- •Limited observability making debugging and optimization difficult
AWS DevOps Solution Approach
This checklist implements a production-ready AWS DevOps platform using EKS, GitOps (ArgoCD), and Infrastructure as Code (Terraform). The approach prioritizes automation, observability, and team enablement.
Each phase builds on the previous one, ensuring a stable foundation before adding complexity. The checklist is designed for AWS DevOps consultants working with startup engineering teams.
Platform Architecture
- EKS cluster setup (multi-AZ, production + staging environments)
- GitOps automation with ArgoCD for deployment workflows
- Infrastructure as Code with Terraform for all AWS resources
- CI/CD pipeline with GitHub Actions or GitLab CI
- Observability stack with Prometheus, Grafana, and CloudWatch integration
- Service mesh integration (Istio or App Mesh) for microservices
- Self-service developer platform for team autonomy
AWS DevOps Implementation Checklist
Phase 1: EKS Cluster Setup (Weeks 1-2)
- □Design EKS cluster architecture (single vs multi-cluster strategy)Priority: high • Effort: 2-3 days • Impact: high
- □Create EKS cluster in multiple availability zonesPriority: high • Effort: 1 day • Impact: high
- □Configure node groups (managed vs self-managed)Priority: high • Effort: 1 day • Impact: high
- □Set up IAM roles and policies for EKS accessPriority: high • Effort: 4 hours • Impact: high
- □Configure network security (VPC, subnets, security groups)Priority: high • Effort: 1 day • Impact: high
- □Set up storage classes and persistent volumesPriority: medium • Effort: 4 hours • Impact: medium
- □Create staging environment clusterPriority: high • Effort: 1 day • Impact: high
- □Test cluster connectivity and basic deploymentsPriority: high • Effort: 4 hours • Impact: medium
- ✓EKS cluster accessible and responding to kubectl commands
- ✓Node groups healthy and auto-scaling configured
- ✓Network connectivity verified between pods
- ✓Staging environment matching production configuration
Phase 2: GitOps & Infrastructure as Code (Weeks 3-4)
- □Set up ArgoCD for GitOps workflowsPriority: high • Effort: 2 days • Impact: high
- □Create Git repository structure for application configsPriority: high • Effort: 1 day • Impact: high
- □Implement Terraform for EKS infrastructurePriority: high • Effort: 3 days • Impact: high
- □Configure Terraform state management (S3 backend)Priority: high • Effort: 4 hours • Impact: high
- □Set up ArgoCD application definitionsPriority: high • Effort: 1 day • Impact: high
- □Configure ArgoCD sync policies and auto-syncPriority: medium • Effort: 4 hours • Impact: medium
- □Implement ArgoCD rollback and sync strategiesPriority: medium • Effort: 4 hours • Impact: medium
- □Document GitOps workflow and developer onboardingPriority: medium • Effort: 1 day • Impact: medium
- ✓ArgoCD deployed and managing application syncs
- ✓Terraform infrastructure reproducible and version-controlled
- ✓Sample application deployed via GitOps workflow
- ✓Team trained on GitOps deployment process
Phase 3: CI/CD Pipeline Setup (Weeks 5-6)
- □Set up GitHub Actions or GitLab CI pipelinePriority: high • Effort: 2 days • Impact: high
- □Configure automated testing (unit, integration, e2e)Priority: high • Effort: 2 days • Impact: high
- □Implement container image building and pushing to ECRPriority: high • Effort: 1 day • Impact: high
- □Set up automated security scanning (container images)Priority: medium • Effort: 1 day • Impact: medium
- □Configure deployment triggers (on push, tags, manual)Priority: high • Effort: 4 hours • Impact: high
- □Implement blue-green or canary deployment strategiesPriority: medium • Effort: 2 days • Impact: medium
- □Set up automated rollback mechanismsPriority: medium • Effort: 1 day • Impact: medium
- □Create CI/CD documentation and runbooksPriority: medium • Effort: 1 day • Impact: low
- ✓CI/CD pipeline building and deploying applications automatically
- ✓Automated tests running on every commit
- ✓Deployment time reduced to under 2 hours
- ✓Zero manual deployment steps required
Phase 4: Observability & Monitoring (Weeks 7-8)
- □Deploy Prometheus for metrics collectionPriority: high • Effort: 1 day • Impact: high
- □Set up Grafana dashboards for visualizationPriority: high • Effort: 2 days • Impact: high
- □Configure CloudWatch integration for AWS metricsPriority: medium • Effort: 1 day • Impact: medium
- □Implement distributed tracing (Jaeger or AWS X-Ray)Priority: medium • Effort: 2 days • Impact: medium
- □Set up log aggregation (CloudWatch Logs or ELK)Priority: high • Effort: 1 day • Impact: high
- □Configure alerting rules and notification channelsPriority: high • Effort: 1 day • Impact: high
- □Create SRE runbooks for common incidentsPriority: medium • Effort: 1 day • Impact: medium
- □Train team on observability tools and dashboardsPriority: medium • Effort: 1 day • Impact: low
- ✓Metrics, logs, and traces visible in dashboards
- ✓Alerts configured for critical system events
- ✓Team able to debug issues using observability tools
- ✓SLOs defined and monitored
Phase 5: Service Mesh & Advanced Features (Weeks 9-10)
- □Evaluate and select service mesh (Istio vs App Mesh vs Linkerd)Priority: medium • Effort: 2 days • Impact: medium
- □Deploy service mesh to EKS clusterPriority: medium • Effort: 2 days • Impact: medium
- □Configure service-to-service authentication (mTLS)Priority: medium • Effort: 1 day • Impact: medium
- □Implement traffic management (routing, splitting, mirroring)Priority: low • Effort: 2 days • Impact: low
- □Set up API gateway for external trafficPriority: medium • Effort: 2 days • Impact: medium
- □Configure auto-scaling (HPA, VPA, cluster autoscaler)Priority: high • Effort: 1 day • Impact: high
- □Implement network policies for pod-to-pod securityPriority: medium • Effort: 1 day • Impact: medium
- ✓Service mesh managing inter-service communication
- ✓Auto-scaling responding to traffic patterns
- ✓Network policies enforcing security boundaries
- ✓Traffic management enabling blue-green deployments
Phase 6: Self-Service Platform & Team Enablement (Weeks 11-12)
- □Create developer onboarding documentationPriority: high • Effort: 2 days • Impact: high
- □Set up self-service namespace provisioningPriority: medium • Effort: 1 day • Impact: medium
- □Implement RBAC policies for team accessPriority: high • Effort: 1 day • Impact: high
- □Create developer tools and scripts (local dev setup)Priority: medium • Effort: 2 days • Impact: medium
- □Conduct team training on EKS, GitOps, and CI/CDPriority: high • Effort: 2 days • Impact: high
- □Document incident response and on-call proceduresPriority: medium • Effort: 1 day • Impact: medium
- □Create architecture decision records (ADRs)Priority: low • Effort: 1 day • Impact: low
- □Conduct platform maturity assessmentPriority: medium • Effort: 1 day • Impact: medium
- ✓Team members able to deploy applications independently
- ✓Developer onboarding time reduced by 50%
- ✓Platform documentation complete and accessible
- ✓Team confident using new DevOps workflows
Expected Results
- •Production-ready EKS platform with multi-AZ deployment
- •GitOps automation enabling 2-hour deployment cycles
- •Infrastructure as Code with full reproducibility
- •CI/CD pipeline automating testing and deployment
- •Observability stack providing full system visibility
- •Self-service developer platform enabling team autonomy
- •25-40% reduction in deployment time
- •Zero manual infrastructure management required
Related Content
Case Studies
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