Production-ready EKS Platform
A reproducible Kubernetes platform on AWS with GitOps delivery, observability, and autoscaling.
Placeholder content- Role
- Platform Engineer
- Timeline
- July 2026
- Type
- Personal Project
- Status
- In progress
- Infrastructure
- AWS · EKS · Terraform
- Repository
- Not published
Problem
Create a repeatable EKS blueprint that reduces manual work and provides a controlled application delivery foundation.
Sample content for layout validation. Replace it with verified implementation evidence before presenting this as a completed case study.
Constraints
- The current architecture is a draft
- Secrets must never be committed
- The environment must be disposable and reproducible
Success criteria
- Terraform plans are reviewable
- Workloads reconcile from Git
- Monitoring evidence exists before completion
Architecture
The architecture separates clear responsibilities so each component can be tested, operated, and changed independently.
Terraform
Models the VPC, EKS cluster, and supporting AWS resources as code.
Argo CD
Reconciles the desired workload state from Git into the cluster.
Prometheus + Grafana
Collects operational metrics and presents platform dashboards.
Implementation
The work is organized into phases with explicit tools and verifiable outputs.
- Design
Define platform boundaries
Separate networking, cluster, delivery, and telemetry responsibilities.
- Provision
Model infrastructure
Prepare reusable modules and a state strategy for AWS resources.
- Build
Establish GitOps
Define repository structure and workload reconciliation flows.
- Secure
Design platform controls
Plan least-privilege access, secret handling, and network boundaries.
- Observe
Define telemetry
Identify the metrics, dashboards, and alerts required for validation.
- Optimize
Review operations
Build an optimization backlog after real measurements are available.
Technical decisions
| Decision | Choice | Reason |
|---|---|---|
| Infrastructure as Code | Terraform | Supports modular, reviewable, and reproducible environments. |
| Delivery | Argo CD | Keeps desired workload state in Git. |
Security
These items describe concrete controls or work that still requires verification.
- IAM roles are designed around least privilege.
- Secrets are referenced from a secret manager rather than committed to Git.
Observability
- Metrics and alert thresholds remain pending until a real environment is available.
Results
- The platform blueprint and acceptance criteria are in progress.
- No uptime, cost, or performance claims are published without evidence.
Challenges and lessons learned
Challenge
EKS flexibility can introduce significant operational complexity.
Approach
Validate networking, cluster, delivery, and telemetry as separate layers.
Lesson
Mark the project complete only after collecting evidence from a running environment.