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I will deploy a production ready AWS eks kubernetes cluster with terraform
DevOps Engineer, AWS Cloud Engineer
Senior AWS and DevOps Engineer with 5 years of production experience, running 10+ client production AWS accounts at a managed services provider. 10 certifications, including AWS Solutions Architect Pr...
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Running Kubernetes on AWS should not mean a bare EKS control plane and weeks of wiring. I deliver EKS clusters that are ready for real production workloads on day one.
Every package is a working cluster provisioned with Terraform: private multi-AZ nodes, IAM Roles for Service Accounts, core add-ons, ALB ingress and your application running on it via Helm. Packages scale with real platform complexity: workloads, environments, autoscaling, security and observability, not node counts.
What you get:
- EKS, VPC and node groups or Karpenter as Terraform code you own
- TLS ingress with the AWS Load Balancer Controller, external-dns and WAF
- Secrets from AWS Secrets Manager, no credentials baked into pods
- Prometheus and Grafana or Container Insights, with alerts
- Argo CD GitOps and Helm charts, plus a runbook and walkthrough
Why me: CKA and CKAD, AWS DevOps Engineer Professional, AWS Solutions Architect Professional, HashiCorp Terraform Associate, 10 certifications in total. 5 years running production AWS, including Kubernetes workloads, across 10+ client accounts.
Message me with your workloads and target environments and I will confirm the right package before you order.
Tools:
Kubernetes
•
Docker
•
Amazon EKS
•
Google Kubernetes Engine
Frameworks:
Npm
•
Terraform
•
Ansible
•
Koch
•
Puppe
Cloud-Provider:
Amazon Web Services
Expertise:
Installation
•
Migration
•
Konfiguration
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FAQ
Do you need access to my AWS account?
Yes, for provisioning: an IAM role I can assume with permissions scoped to EKS, VPC, IAM and the supporting services, which you remove when the work is done. Alternatively I hand over the Terraform and guide your team through the apply. I never ask for root credentials.
Which workloads can run on the cluster?
Anything containerised: Node, Python, Go, Java, .NET, PHP, static frontends, queues and workers. If your apps are not containerised yet, I can add Dockerfiles and Helm charts as an extra. Stateful workloads use EBS or EFS volumes with the CSI drivers installed.
How is cost controlled on EKS?
Karpenter provisions right-sized nodes only when pods need them, mixing spot and on-demand capacity, and scales down when they do not. I set requests and limits, add PodDisruptionBudgets, and give you cost visibility so the bill matches real usage rather than idle capacity.
Can you migrate an existing cluster or upgrade one?
Yes. I can move workloads from self-managed Kubernetes, ECS or another cloud, import an existing EKS cluster into Terraform, fix a fragile cluster, or plan and run a version upgrade with a tested rollback path. Share what you have and I will scope it.
Do I own everything, and can my team run it afterwards?
Everything is code in your repositories: Terraform for the cluster, Helm charts or Argo CD manifests for workloads, plus a runbook. I hold 10 certifications including CKA, CKAD and both AWS Professional certs, so the setup follows current Kubernetes and AWS practice your team can build on.
