What to expect
Run production workloads on EKS: networking, autoscaling, GitOps deployment, and the operational habits that keep clusters calm.
Kubernetes
Kubernetes on AWS
Run production workloads on EKS: networking, autoscaling, GitOps deployment, and the operational habits that keep clusters calm.
- Duration
- 4 days
- Level
- Intermediate
- Format
- On-site
- Price
- On request
What to know before
Who it's for
- Platform engineers taking a team's first workloads to EKS in production. Kubernetes Fundamentals (or equivalent Kubernetes experience) is a prerequisite - this training is AWS-specific, not a Kubernetes primer.
- Teams already running Kubernetes elsewhere who need to adopt AWS-specific networking and IAM patterns.
You'll learn to
- Deploy and operate an EKS cluster with production-grade networking, autoscaling, and observability.
- Set up a GitOps deployment flow your team can extend after the training ends.
- Recognize the operational habits that keep clusters calm: upgrade cadence, capacity planning, and incident response.
Agenda
Day 1
- Cluster provisioning with eksctl or Terraform
- EKS architecture vs. vanilla Kubernetes
- IAM for Kubernetes: IRSA
- Node groups vs. Fargate
Day 2
- EKS networking: VPC CNI and security groups for pods
- Load balancer controller
- Ingress patterns specific to AWS
Day 3
- EBS and EFS CSI drivers
- Autoscaling: Cluster Autoscaler vs. Karpenter
- HPA and right-sizing node groups
Day 4
- GitOps deployment with ArgoCD or Flux
- Upgrade cadence and capacity planning
- Incident-response drill
The MVJ Method
Lots of practical, hands-on teaching. Theory shows up only when you need it to unblock the next exercise.
Mostly hands-on. Most of the session is spent building real labs and real pipelines, not watching slides.
Your infrastructure, not a sandbox. Wherever possible, exercises run against your actual AWS accounts and tooling, so what gets built in the room is what ships on Monday.
Small enough that everyone drives. Groups of 4-12, so every attendee gets keyboard time.
You keep the runbook. Labs, scripts, and reference material go home with your team as the start of your own documentation, not a one-off slide deck.
Request this training
Tell us a bit about your team and we'll get back to you to schedule Kubernetes on AWS.
Manuel Vogel-Johnson
Principal Engineer
“EKS in a sandbox is easy. EKS at 2am when a node group won't scale is what actually matters, so we spend real time on the operational habits, not just the happy path.”
Kubernetes on AWS
Run production workloads on EKS: networking, autoscaling, GitOps deployment, and the operational habits that keep clusters calm.
- Duration
- 4 days
- Format
- On-site
- Level
- Intermediate
- Price
- On request
Learning goals
- Deploy and operate an EKS cluster with production-grade networking, autoscaling, and observability.
- Set up a GitOps deployment flow your team can extend after the training ends.
- Recognize the operational habits that keep clusters calm: upgrade cadence, capacity planning, and incident response.
FAQs
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