Operations integration suite

5 min read · Intermediate

Platform Engineer

This suite validates that Edera integrates with existing operational tools and workflows. The tests verify observability, automation, and workflow compatibility.

ℹ️

Before you begin: Complete the prerequisites including cloning the learn repo and running make setup.

All manifests are available in the learn repository.

Test 1: Observability with Prometheus and Grafana Permalink for this section

Edera Protect exposes Prometheus metrics at port 3035 on each Edera node. This test validates that you can scrape and visualize zone-level metrics.

Why this matters Permalink for this section

Edera provides detailed metrics about each zone including CPU usage, memory allocation, and zone lifecycle timestamps. These metrics include Kubernetes labels (k8s_namespace, k8s_pod) so you can correlate zone metrics with your workloads.

Install monitoring stack Permalink for this section

make grafana-install

Configure Edera metrics scraping Permalink for this section

Get your Edera node’s internal IP:

NODE_IP=$(kubectl get nodes -l runtime=edera -o jsonpath='{.items[0].status.addresses[?(@.type=="InternalIP")].address}')
echo $NODE_IP

Create the Service, Endpoints, and ServiceMonitor:

sed "s/NODE_IP/${NODE_IP}/g" operations/edera-servicemonitor.yaml | kubectl apply -f -

Verify metrics are being scraped Permalink for this section

Check that Prometheus can reach the Edera metrics endpoint:

kubectl run curl-test --rm -it --restart=Never --image=curlimages/curl \
  -- curl -s http://$NODE_IP:3035/metrics | grep zone_memory

Example output:

zone_memory_total_bytes{k8s_namespace="default",k8s_pod="welcome-to-edera",zone_id="..."} 215666688
zone_memory_used_bytes{k8s_namespace="default",k8s_pod="welcome-to-edera",zone_id="..."} 89153536
zone_memory_free_bytes{k8s_namespace="default",k8s_pod="welcome-to-edera",zone_id="..."} 122712064

Access Grafana Permalink for this section

Port-forward to access Grafana (uses port 3001 to avoid conflicts with local dev servers):

kubectl port-forward -n monitoring svc/prometheus-grafana 3001:80

If accessing from a bastion host, use an SSH tunnel with your bastion SSH key:

ssh -L 3001:localhost:3001 -i <your-bastion-key> ivy@<bastion-ip> "kubectl port-forward -n monitoring svc/prometheus-grafana 3001:80"

Get the admin password:

kubectl get secret -n monitoring prometheus-grafana -o jsonpath='{.data.admin-password}' | base64 -d && echo

Open http://localhost:3001 and log in with username admin and the password from the command above.

Edera metrics reference Permalink for this section

Success criteria:

Cleanup:

kubectl delete -f operations/edera-servicemonitor.yaml
helm uninstall prometheus -n monitoring
kubectl delete namespace monitoring

Test 2: RuntimeClass automation with Kyverno Permalink for this section

Kyverno is a policy engine for Kubernetes that can validate, mutate, and generate resources. This test demonstrates using Kyverno to automatically assign the Edera RuntimeClass to pods in designated namespaces—reducing adoption friction by eliminating the need to modify existing deployment manifests.

What this test validates Permalink for this section

This test shows that platform teams can enforce Edera isolation through policy rather than requiring application teams to modify their deployments. Pods deployed to secured namespaces automatically run in Edera zones without any manifest changes.

Install Kyverno Permalink for this section

make kyverno-install

Or manually:

helm repo add kyverno https://kyverno.github.io/kyverno/
helm repo update
helm upgrade --install kyverno kyverno/kyverno --namespace kyverno --create-namespace

Create auto-assignment policy Permalink for this section

Apply the Kyverno policy:

kubectl apply -f operations/kyverno-edera-policy.yaml

The policy mutates pods in production and secure-workloads namespaces to add runtimeClassName: edera:

apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: assign-edera-runtime
spec:
  rules:
  - name: assign-runtime-class
    match:
      resources:
        kinds:
        - Pod
        namespaces:
        - production
        - secure-workloads
    mutate:
      patchStrategicMerge:
        spec:
          runtimeClassName: edera

Test the policy Permalink for this section

Create the namespace and deploy a test pod without any RuntimeClass specified:

kubectl create namespace secure-workloads
kubectl apply -f operations/auto-edera-test.yaml

Verify RuntimeClass was assigned Permalink for this section

kubectl get pod auto-edera-test -n secure-workloads -o jsonpath='{.spec.runtimeClassName}' && echo

Expected output:

edera

The pod’s manifest didn’t specify a RuntimeClass, but Kyverno automatically assigned edera because the pod was created in the secure-workloads namespace.

Success criteria:

Cleanup:

kubectl delete pod auto-edera-test -n secure-workloads
kubectl delete namespace secure-workloads
kubectl delete clusterpolicy assign-edera-runtime

Test 3: Workflow compatibility validation Permalink for this section

Edera zones are transparent to Kubernetes tooling. This test validates that standard kubectl operations, Helm deployments, and GitOps workflows work unchanged with Edera workloads.

Why workflow compatibility matters Permalink for this section

Operations teams need confidence that adopting Edera won’t break existing workflows. This test confirms that all standard Kubernetes operations work identically whether a pod runs in a standard container or an Edera zone.

kubectl operations Permalink for this section

Deploy a test pod (or use any running Edera pod):

make welcome

Test kubectl exec:

kubectl exec welcome-to-edera -- uname -a

Expected output shows the Edera zone kernel:

Linux ... 6.12.62 #1 SMP PREEMPT_DYNAMIC ... x86_64 GNU/Linux

Test kubectl logs:

kubectl logs welcome-to-edera

Expected output shows container logs normally.

Test kubectl cp:

kubectl cp welcome-to-edera:/etc/hostname ./hostname-from-pod
cat ./hostname-from-pod

Expected output shows the copied file contents.

Test kubectl port-forward:

kubectl port-forward welcome-to-edera 8080:80 &
curl localhost:8080

Expected output shows the nginx welcome page.

Helm chart deployment Permalink for this section

If you have existing Helm charts, add Edera by setting the RuntimeClass value (if your chart supports it):

helm install my-app <my-chart> --set podSpec.runtimeClassName=edera

Or patch an existing deployment to add Edera:

kubectl patch deployment <my-app> \
  -p '{"spec":{"template":{"spec":{"runtimeClassName":"edera"}}}}'

The specific values path depends on your chart’s values schema.

GitOps compatibility Permalink for this section

Edera works with ArgoCD, Flux, and other GitOps tools. Add RuntimeClass to your manifests:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  template:
    spec:
      runtimeClassName: edera  # Only change needed
      containers:
      - name: my-app
        image: my-app:latest

Success criteria:

Summary Permalink for this section

Cleanup Permalink for this section

Remove all operations test resources:

make clean-operations

Next steps Permalink for this section

• Security demonstration suite - Validate container isolation
• Performance validation suite - Benchmark performance

Last updated on 2026-03-19