Introduction

Container orchestration has become a useful technique for deploying, scaling, and managing containerized applications. However, efficiently directing traffic into these containers remains a challenge. This blog post delves into container-native load balancing using Ingress, a powerful tool for routing traffic to services within a Kubernetes cluster. We'll explore the concept, benefits, and how to implement it, complete with code configuration examples.

Understanding Container-Native Load Balancing

Traditional load balancers operate at the infrastructure level, unaware of the application's specific needs. Container-native load balancing, on the other hand, allows the load balancer to communicate directly with the containers, enabling more intelligent traffic distribution. This approach ensures high availability, scalability, and optimal resource utilization, which is critical for microservices architectures.

Why Ingress?

Ingress, in the Kubernetes ecosystem, is an object that allows access to your Kubernetes services from outside the Kubernetes cluster. You configure HTTP and HTTPS routes to services based on request parameters like paths or hostnames. But why is it significant?

  • Path-Based Routing: With Ingress, you can route traffic to different services based on URL paths. This makes it easy to host multiple services under the same IP address.
  • Simplified Management: Ingress allows you to manage all your routes centrally, simplifying configuration and management.
  • Enhanced Security: Using Ingress, you can provide secure access through SSL/TLS termination, protecting your data in transit.

Prerequisites for Using Ingress Before you implement Ingress, ensure you have the following:

  • A Kubernetes cluster is up and running.
  • An Ingress controller is installed in the cluster (e.g., NGINX, Traefik, AWS Load Balancer Controller).
  • The kubectl command-line tool is connected to your cluster.

Deploy Your Application

First, deploy the applications that you want to expose via Ingress. Here’s an example deployment configuration:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-application
spec:
  selector:
    matchLabels:
      app: my-application
  replicas: 3
  template:
    metadata:
      labels:
        app: my-application
    spec:
      containers:
      - name: my-application
        image: my-image
        ports:
        - containerPort: 8080

Apply this configuration with kubectl apply -f <filename>.yaml

Create a Service

Each deployment should have a corresponding service to expose it internally within the cluster.

apiVersion: v1
kind: Service
metadata:
  name: my-application-service
spec:
  selector:
    app: my-application
  ports:
    - protocol: TCP
      port: 80
      targetPort: 8080

Configure the Ingress Resource

  • Now, define your Ingress resource. This resource will use the Ingress controller to manage access to services, based on the rules defined.
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: simple-fanout-example
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
spec:
  rules:
  - host: my-application.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: my-application-service
            port:
              number: 80

Here, we define a rule that all traffic requesting the my-application.com domain should be routed to the my-application-service.

Advanced Ingress Features

  • SSL/TLS Termination: Secure your Ingress by adding SSL/TLS termination.
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: tls-example-ingress
spec:
  tls:
  - hosts:
      - sslexample.foo.com
    secretName: testsecret-tls
  rules:
      - host: sslexample.foo.com
        http:
          paths:
          - path: /
            pathType: Prefix
            backend:
              service:
                name: service1
                port:
                  number: 80

This configuration specifies a secret that contains TLS certificate and key for the specified domain.

Conclusion

Container-native load balancing through Ingress not only simplifies traffic management in microservices environments but also ensures optimal resource utilization and high availability. By using CTO.ai Kubernetes Ingress resources and an Ingress controller, organizations can efficiently route traffic, implement advanced routing policies, and expose services to the outside world securely and efficiently.

Ready to unlock the power of CTO.ai for your team? Schedule your consultation now with one of our experts today!