Platform Engineer focused on Kubernetes, AWS, and production-grade infrastructure.
I design and build systems that help teams deploy, operate, and recover applications reliably.
- Build Kubernetes-based platforms on AWS (EKS)
- Design CI/CD and GitOps workflows (GitHub Actions + ArgoCD)
- Implement disaster recovery and backup systems
- Enforce cost control using FinOps practices
- Analyze cluster efficiency and resource utilization
A Kubernetes capacity analysis tool that inspects cluster resource usage and provides actionable recommendations.
Tech: Go, Kubernetes API, Docker, EKS, ArgoCD, GitHub Actions Highlights:
- CLI + HTTP API for cluster analysis
- Real-time capacity metrics and pressure detection
- Rule-based recommendation engine
- Containerized and deployed via Kubernetes
- CI pipeline with linting, testing, and security scanning
A system that simulates failure and restores Kubernetes workloads using Velero and S3-backed backups.
Highlights:
- Backup and restore of Kubernetes namespaces
- Failure simulation (namespace deletion)
- Full recovery validation with live cluster
- Zero data loss during recovery test
A CI-based system that prevents expensive infrastructure changes before deployment.
Tech: Terraform, Infracost, GitHub Actions Highlights:
- Plan-only Terraform pipeline
- Cost estimation before apply
- PR-based cost enforcement
- Multi-environment cost comparison
Implements canary deployments and rollback strategies using Argo Rollouts.
Highlights:
- Canary deployment strategy
- Controlled rollout progression
- Failure simulation and rollback
- Kubernetes-native progressive delivery
- Cloud: AWS (EKS, EC2, S3, IAM)
- Containers: Docker, Kubernetes
- IaC: Terraform
- CI/CD: GitHub Actions
- GitOps: ArgoCD
- Languages: Go
- Observability: Prometheus, Grafana
- Platform engineering for Kubernetes workloads
- Improving cluster efficiency and cost optimization
- Building internal developer platforms
- GitHub: https://github.com/ohanyere