Cloud Infrastructurechecklist

AWS DevOps Checklist

EKS Platform Setup & GitOps Automation

15 min read • Updated 2026-01-07

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

  1. EKS cluster setup (multi-AZ, production + staging environments)
  2. GitOps automation with ArgoCD for deployment workflows
  3. Infrastructure as Code with Terraform for all AWS resources
  4. CI/CD pipeline with GitHub Actions or GitLab CI
  5. Observability stack with Prometheus, Grafana, and CloudWatch integration
  6. Service mesh integration (Istio or App Mesh) for microservices
  7. 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 zones
    Priority: 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 access
    Priority: 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 volumes
    Priority: medium Effort: 4 hours Impact: medium
  • Create staging environment cluster
    Priority: high Effort: 1 day Impact: high
  • Test cluster connectivity and basic deployments
    Priority: high Effort: 4 hours Impact: medium
Success Metrics:
  • 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 workflows
    Priority: high Effort: 2 days Impact: high
  • Create Git repository structure for application configs
    Priority: high Effort: 1 day Impact: high
  • Implement Terraform for EKS infrastructure
    Priority: high Effort: 3 days Impact: high
  • Configure Terraform state management (S3 backend)
    Priority: high Effort: 4 hours Impact: high
  • Set up ArgoCD application definitions
    Priority: high Effort: 1 day Impact: high
  • Configure ArgoCD sync policies and auto-sync
    Priority: medium Effort: 4 hours Impact: medium
  • Implement ArgoCD rollback and sync strategies
    Priority: medium Effort: 4 hours Impact: medium
  • Document GitOps workflow and developer onboarding
    Priority: medium Effort: 1 day Impact: medium
Success Metrics:
  • 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 pipeline
    Priority: 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 ECR
    Priority: 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 strategies
    Priority: medium Effort: 2 days Impact: medium
  • Set up automated rollback mechanisms
    Priority: medium Effort: 1 day Impact: medium
  • Create CI/CD documentation and runbooks
    Priority: medium Effort: 1 day Impact: low
Success Metrics:
  • 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 collection
    Priority: high Effort: 1 day Impact: high
  • Set up Grafana dashboards for visualization
    Priority: high Effort: 2 days Impact: high
  • Configure CloudWatch integration for AWS metrics
    Priority: 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 channels
    Priority: high Effort: 1 day Impact: high
  • Create SRE runbooks for common incidents
    Priority: medium Effort: 1 day Impact: medium
  • Train team on observability tools and dashboards
    Priority: medium Effort: 1 day Impact: low
Success Metrics:
  • 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 cluster
    Priority: 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 traffic
    Priority: 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 security
    Priority: medium Effort: 1 day Impact: medium
Success Metrics:
  • 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 documentation
    Priority: high Effort: 2 days Impact: high
  • Set up self-service namespace provisioning
    Priority: medium Effort: 1 day Impact: medium
  • Implement RBAC policies for team access
    Priority: 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/CD
    Priority: high Effort: 2 days Impact: high
  • Document incident response and on-call procedures
    Priority: medium Effort: 1 day Impact: medium
  • Create architecture decision records (ADRs)
    Priority: low Effort: 1 day Impact: low
  • Conduct platform maturity assessment
    Priority: medium Effort: 1 day Impact: medium
Success Metrics:
  • 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

Need Help Implementing This AWS DevOps Platform?

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