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Production Best Practices


You’ve installed Edera. Now let’s make sure it’s production-ready.

Pre-Deployment Planning

Maintenance Windows

Plan for Node Reboots

  • Edera installation requires node reboots to load the hypervisor
  • Schedule installations during maintenance windows
  • Coordinate with teams that depend on the infrastructure

Rolling Deployments

  • Install Edera on nodes one at a time (or in small batches)
  • Verify each node before moving to the next
  • Maintain cluster capacity during the rollout

Node Sizing

Resource Overhead

  • Edera’s microVM isolation adds minimal overhead (typically 5-10%)
  • Size nodes with this overhead in mind
  • Monitor resource usage during initial deployments

Memory Considerations

  • Each Edera zone requires a small amount of memory for the microVM
  • For workloads with many small containers, ensure adequate node memory
  • Use node resource monitoring to validate sizing (covered in Module 6)

RuntimeClass Strategy

Default to Edera for Sensitive Workloads

Use Kubernetes admission controllers to automatically apply runtimeClassName: edera to specific workloads:

apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: edera-for-production
spec:
  rules:
  - name: add-edera-runtime
    match:
      resources:
        kinds:
        - Pod
        namespaces:
        - production
        - finance
        - healthcare
    mutate:
      patchStrategicMerge:
        spec:
          runtimeClassName: edera

Mixed Runtime Environments

Not all workloads need hardware isolation. Use Edera where it matters:

  • High isolation needs: Customer data processing, CI/CD jobs, multi-tenant workloads, privileged operations
  • Standard containers: Internal tools, non-sensitive batch processing

This lets you optimize cost and performance while maximizing security where it counts.

Security Hardening

Container Registry Access

Secure Your GAR Key

  • Store the GAR key in a secrets management system (Vault, AWS Secrets Manager, etc.)
  • Rotate credentials periodically
  • Limit access to the key to only necessary personnel

Private Registries

  • Use private container registries for your application images
  • Ensure nodes can pull from your registries
  • Configure imagePullSecrets for Kubernetes deployments

Network Policies

Edera isolation complements network policies—use both:

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: edera-workload-policy
spec:
  podSelector:
    matchLabels:
      runtime: edera
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: frontend
  egress:
  - to:
    - podSelector:
        matchLabels:
          app: database

Monitoring & Observability

Service Health

Monitor Edera services on each node:

systemctl list-units --type=service | grep protect

Expected services:

  • protect-cri - Container Runtime Interface
  • protect-daemon - Core daemon
  • protect-networking-daemon - Networking
  • protect-orchestrator - Orchestration
  • protect-storage-daemon - Storage
  • protect-preinit - Pre-initialization

Set up alerts if any of these services fail.

Log Aggregation

Collect Edera logs for centralized analysis:

journalctl -u protect-cri --since "1 hour ago"
journalctl -u protect-daemon --since "1 hour ago"

Integrate with your existing log aggregation solution (ELK, Splunk, Datadog, etc.).

Zone Monitoring

Track active Edera zones:

protect zone list

Monitor zone count and resource usage over time to understand workload patterns.

Backup & Recovery

Configuration Backup

RuntimeClass Definitions

  • Store RuntimeClass YAML in version control
  • Include in your GitOps workflows

Node Configuration

  • Back up kubelet configuration (/etc/default/kubelet)
  • Document any custom configurations applied during installation

Disaster Recovery

Node Failure Scenarios

  • If an Edera node fails, Kubernetes automatically reschedules pods to healthy nodes
  • Ensure you have sufficient capacity for node failures
  • Test failover scenarios in staging environments

Reinstallation Process

  • Keep installation scripts and credentials in a secure, accessible location
  • Document your specific installation parameters
  • Practice reinstallation in test environments

Performance Optimization

Workload Placement

Node Affinity Use node affinity to control which workloads run on Edera nodes:

apiVersion: v1
kind: Pod
metadata:
  name: secure-app
spec:
  runtimeClassName: edera
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: runtime
            operator: In
            values:
            - edera

Resource Limits Set appropriate resource limits for Edera workloads:

resources:
  requests:
    memory: "256Mi"
    cpu: "250m"
  limits:
    memory: "512Mi"
    cpu: "500m"

Upgrades & Maintenance

Edera Updates

When Edera releases updates:

  1. Test in staging - Deploy updates to a test environment first
  2. Review release notes - Understand changes and potential impacts
  3. Rolling updates - Update nodes incrementally
  4. Monitor closely - Watch for issues after each node update

Kubernetes Upgrades

Edera is compatible with Kubernetes 1.24+. When upgrading Kubernetes:

  1. Verify Edera compatibility with the new Kubernetes version
  2. Test the upgrade in a non-production environment
  3. Follow Kubernetes best practices for version upgrades
  4. Monitor Edera services after the upgrade

Support & Documentation

When You Need Help

Information to Provide

When contacting support, include:

  • Edera version (check AMI or installer version)
  • Kubernetes version
  • Cloud platform (AWS, Azure, on-prem, etc.)
  • Error messages and relevant logs
  • Steps to reproduce the issue

Module Complete

You now know how to install Edera across different environments and follow production best practices.

Ready to dive deep into how Edera actually works? Let’s explore the architecture and components.

Next module: Architecture & Components →

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