Azure AKS - tracebloc

When to pick it — You’re on Azure and want managed Kubernetes with autoscaling and GPU node pools.

Prerequisites

An AKS cluster, and kubectl pointed at it (az aks get-credentials …).
Helm 3.x.
Your Client ID and password from the clients page.

Install

helm repo add tracebloc https://tracebloc.github.io/client
helm repo update
helm show values tracebloc/client > values.yaml   # edit per below
helm upgrade --install tracebloc tracebloc/client \
  -n tracebloc --create-namespace -f values.yaml

Set your credentials in values.yaml (see Configuration → Authentication).

Verify

kubectl get pods -n tracebloc

Pods Running, your workspace Online on the clients page.

Environment-specific config

Use Azure Files for shared storage:

storageClass:
  create: true
  provisioner: file.csi.azure.com
  parameters:
    skuName: Standard_LRS
  mountOptions: [dir_mode=0750, file_mode=0640, uid=999, gid=999, mfsymlinks, cache=strict, actimeo=30]
clusterScope: true

NetworkPolicy: create the AKS cluster with --network-policy azure (Azure NPM) or Calico — otherwise the training-pod egress lockdown won’t enforce.
metrics-server is bundled on AKS.

Production notes

Use GPU node pools for training workloads; size requests/limits per job.
Day-2 upgrades and rollbacks: see Operations.

Amazon EKS OpenShift

⌘I

​Prerequisites

​Install

​Verify

​Environment-specific config

​Production notes

Prerequisites

Install

Verify

Environment-specific config

Production notes