Deploying Applications with High Availability on Kubernetes

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This blog helps especially those not aware of Kubernetes, deploy resilient, highly available applications.

Introduction

  • The concept of high availability (HA) is critical in today’s application deployment strategies. Even when part of your application fails, the application remains functional and accessible. In Kubernetes, high availability means designing systems that can tolerate component failures with minimal impact on the service.
  • This blog post will guide you through the steps to deploy applications with high availability on Kubernetes, focusing on the key components and best practices for achieving a resilient and reliable system.

What Is High Availability

  • High availability is a characteristic of a system that ensures an agreed level of operational performance, typically uptime, for a more extended period than usual. High availability is achieved by eliminating single points of failure, ensuring every component of your application has a backup that can automatically be used in case of failure.

Key Components of High Availability

High availability in Kubernetes relies on several key components.

1. Replication Controller/ReplicaSet

  • Replication controllers or ReplicaSets are responsible for maintaining a specified number of pod replicas running at all times.

2. Pods

  • Pods are the smallest deployable units in Kubernetes, consisting of one or more containers that share network and storage resources. By running multiple replicas of pods across different nodes, Kubernetes ensures redundancy and fault tolerance.

3. Kubernetes Scheduler

  • The Kubernetes scheduler places pods on nodes within the cluster, ensuring balanced resource usage and redundancy.

4. etcd

  • etcd is a distributed key-value store used by Kubernetes to store cluster state and configuration data. It provides consistent and reliable storage for critical information such as pod metadata, configuration settings, and API objects.

5. Cluster Auto-Scaling

  • Cluster auto-scaling automatically adjusts the number of nodes in the cluster based on resource utilization and demand. This ensures that there are enough resources available to maintain high availability and meet workload requirements.

Benefits of High Availability in Applications

  • Improved User Experience: Ensures a seamless user experience by minimizing downtime.

  • Business Continuity: Critical for maintaining business operations without significant revenue loss.

  • Data Protection: Involves data replication processes to ensure data safety and availability, even in failure scenarios.

  • Scalability: HA architectures are designed to be scalable, meeting growing user demand efficiently.

Deploying an Application

Step 1 – Set Up Your Kubernetes Cluster

  • Set up a Kubernetes cluster on a cloud provider like AWS, on a local cluster.

Step 2 – Connect to Your Cluster

  • Use the kubectl command-line tool to connect to your cluster. Ensure that kubectl is properly configured.

Step 3 – Deploy Your Application

  • Deploy your application using the kubectl apply command with your Kubernetes manifests.

kubectl apply -f /path/to/your/manifest.yaml

Step 4 – Verify the Deployment

  • Use kubectl get and kubectl describe commands to verify the deployment.

kubectl get deployments

kubectl describe deployment <your-deployment-name>

High Availability

Replicas

  • Specify the number of replicas in your Deployment to ensure redundancy
apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-application
spec:
  replicas: 2
  selector:
    matchLabels:
      app: my-application
  template:
    metadata:
      labels:
        app: my-application
    spec:
      containers:
      - name: my-application
        image: my-application:latest

Strategy

  • Kubernetes Deployments have a strategy field to define the deployment strategy, like RollingUpdate for gradual updates
strategy:
  type: RollingUpdate
  rollingUpdate:
    maxUnavailable: 1
    maxSurge: 1

Readiness and Liveness Probes

  • Use readiness and liveness probes to ensure that your application is healthy and ready to receive traffic
readinessProbe:
  httpGet:
    path: /readiness
    port: 8080
  initialDelaySeconds: 5
  periodSeconds: 5
livenessProbe:
  httpGet:
    path: /health
    port: 8080
  initialDelaySeconds: 10
  periodSeconds: 10

Services

  • Kubernetes Services provide network access to your Pods and ensure application accessibility.
apiVersion: v1
kind: Service
metadata:
  name: my-application-service
spec:
  selector:
    app: my-application
  ports:
    - protocol: TCP
      port: 80
      targetPort: 8080
  type: LoadBalancer

Conclusion

  • Deploying applications with high availability on Kubernetes is essential for building resilient, scalable, and reliable systems. By understanding and utilizing Kubernetes features like ReplicaSets, readiness probes, and services, you can ensure that your application remains operational and responsive, even in the face of component failures.

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