Achieving Container High Availability in EKS, AKS, and RKS: A Comprehensive Guide

Achieving Container High Availability in EKS, AKS, and RKS: A Comprehensive Guide

In today’s cloud-native ecosystem, ensuring High Availability (HA) is a critical requirement for containerized applications running on Kubernetes. HA ensures that your workloads remain operational even in the face of failures, outages, or traffic spikes. Platforms like Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), and Red Hat Kubernetes Service (RKS) provide managed Kubernetes solutions that simplify cluster management. However, achieving true HA requires careful configuration and planning.

This article offers a comprehensive guide to setting up HA in EKS, AKS, and RKS, covering foundational concepts, platform-specific configurations, and advanced features like Horizontal Pod Autoscaler (HPA). With actionable examples and best practices, this guide equips you to build resilient, production-grade Kubernetes environments.

What Is High Availability in Kubernetes?

High Availability (HA) refers to the ability of a system to remain operational even during hardware failures, software crashes, or unexpected traffic surges. Kubernetes inherently supports HA with features like pod replication, self-healing, and autoscaling. Managed platforms like EKS, AKS, and RKS offer additional features that simplify achieving HA.

Core Principles of High Availability

1. Multi-Zone Deployments: Spread workloads across multiple availability zones to avoid single points of failure.

2. Self-Healing: Automatically replace failed pods and nodes.

3. Horizontal Pod Autoscaler (HPA): Dynamically scale workloads based on demand.

4. Stateful Resilience: Ensure stateful workloads use reliable persistent storage.

5. Disaster Recovery: Plan for cross-region failover to mitigate regional outages.

High Availability in EKS (Amazon Elastic Kubernetes Service)

Amazon EKS integrates seamlessly with AWS infrastructure to deliver HA. Here’s how to configure it:

Step 1: Multi-Zone Deployment

Deploy worker nodes across multiple availability zones during cluster creation:
eksctl create cluster --name my-cluster --region us-west-2 --zones us-west-2a,us-west-2b,us-west-2c --nodegroup-name standard-workers

Step 2: Stateful Application Resilience

Use Amazon Elastic Block Store (EBS) for persistent storage:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: ebs-claim
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi

Step 3: Horizontal Pod Autoscaler (HPA) in EKS

Enable the Metrics Server to use HPA:
kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

Define an HPA resource for your workload:
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: nginx-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: nginx-deployment
minReplicas: 2
maxReplicas: 10
metrics:

• type: Resource
  resource:
  name: cpu
  target:
  type: Utilization
  averageUtilization: 50

Step 4: Disaster Recovery

Configure multi-region failover with AWS Route 53. Use latency-based DNS routing to direct traffic to healthy clusters across regions.

High Availability in AKS (Azure Kubernetes Service)

Azure Kubernetes Service offers features like Availability Zones and seamless integration with Azure’s ecosystem.

Step 1: Multi-Zone Configuration

Deploy AKS with zone-redundant nodes:
az aks create --resource-group myResourceGroup --name myAKSCluster --location eastus --node-count 3 --enable-cluster-autoscaler --zones 1 2 3

Step 2: Resilient Networking

Leverage Azure Application Gateway for highly available Ingress:
az network application-gateway create --resource-group myResourceGroup --name myAppGateway --capacity 2

Step 3: Horizontal Pod Autoscaler in AKS

HPA is pre-configured in AKS. Define an HPA resource similar to EKS. Combine it with the Cluster Autoscaler:
az aks update --resource-group myResourceGroup --name myAKSCluster --enable-cluster-autoscaler

Step 4: Stateful Workloads

Use Azure Disk for resilient storage:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: azure-disk-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
storageClassName: managed-premium

High Availability in RKS (Red Hat Kubernetes Service)

RKS, based on OpenShift, provides robust HA features through Operators and advanced cluster management.

Step 1: Multi-Zone Deployment

Distribute worker nodes across zones:
openshift-install create cluster --zones us-west-2a,us-west-2b

Step 2: Stateful Applications

Use OpenShift Container Storage (OCS) for persistent data storage:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: ocs-claim
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 20Gi

Step 3: Horizontal Pod Autoscaler in RKS

OpenShift natively supports HPA. Deploy a sample configuration as shown earlier and monitor scaling behavior using OpenShift’s built-in dashboards.

Best Practices for High Availability

1. Set Realistic Resource Limits: Configure CPU and memory requests/limits to avoid resource contention.
   resources:
   requests:
   cpu: 500m
   memory: 512Mi
   limits:
   cpu: 1
   memory: 1Gi

2. Enable Proactive Monitoring: Use tools like Prometheus and Grafana to track pod scaling, node health, and resource utilization.

3. Test Failover Scenarios: Regularly simulate zone or region failures to validate disaster recovery configurations.

4. Combine HPA With Cluster Autoscaler: Ensure the cluster can scale nodes when HPA scales pods beyond current capacity.

5. Optimize Costs: Use spot instances for non-critical workloads and configure autoscalers to scale down during low-traffic periods.

Conclusion

Achieving container high availability in EKS, AKS, and RKS requires a blend of platform-specific configurations, best practices, and advanced Kubernetes features like HPA. By following this guide, you can build resilient, scalable, and cost-efficient Kubernetes environments that are ready for production.

HA is more than just uptime — it’s about delivering trust, performance, and reliability to your users. Start implementing these strategies today to elevate your Kubernetes deployments to the next level.

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