Running microservices on Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS) gives engineering teams self-healing orchestration, bin-packed compute efficiency, and declarative scaling. Yet poorly configured clusters suffer from crash-looping pods, noisy-neighbor CPU throttling, sprawling copy-pasted YAML files, and brittle manual deployments.
If you are looking to hire a freelance Kubernetes, Helm, and GKE/EKS DevOps programmer, I am Aldian Fazrihady—a senior cloud and systems engineer who designs multi-environment GitOps folder structures, reusable Helm charts, and automated Golden CI/CD pipelines.
Production Kubernetes & Helm Architecture I Deliver
1. Standardized Helm Charts & Multi-Environment GitOps
Instead of maintaining 20 diverged copies of Kubernetes manifests across microservices, I architect a single versioned Helm library chart with environment-specific values-dev.yaml, values-staging.yaml, and values-prod.yaml overlays—enforcing readiness/liveness probes, resource requests/limits, and PodDisruptionBudgets everywhere.
2. Zero-Trust Workload Identity & Secret Management
I eliminate long-lived cloud JSON keys inside Kubernetes secrets by binding Kubernetes ServiceAccounts directly to GCP IAM or AWS IAM roles via Workload Identity / IRSA, paired with External Secrets Operator for automatic secret synchronization.
3. Golden CI/CD Pipelines & Datadog/Prometheus Observability
From multi-stage Docker builds (Dockerizing Django Backends) to automated Helm rollouts (Golden Pipelines with Helm & GKE) and Datadog-as-Code monitors (Datadog-as-Code Automation), I automate the entire delivery lifecycle.
Hire a Freelance Kubernetes & DevOps Programmer
- Upwork: https://www.upwork.com/freelancers/aldianf
- Related Guide: Freelance DevOps & Cloud Architect Programmer Guide