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Why GKE Ingress with Load Balancer in GCP? - Purpose & Use Cases

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The Big Idea

What if your website could handle millions of visitors without you lifting a finger on network setup?

The Scenario

Imagine you have a website running on multiple servers in Google Kubernetes Engine (GKE). You want users to reach your site easily, but you have to manually configure each server's IP and manage traffic routing yourself.

The Problem

This manual setup is slow and confusing. You must update IP addresses everywhere if servers change. Traffic might not balance well, causing some servers to be overloaded while others sit idle. Mistakes can cause downtime or lost visitors.

The Solution

Using GKE Ingress with a Load Balancer automates this process. It acts like a smart traffic controller that directs visitors to healthy servers evenly. It updates automatically when servers change, so you don't have to worry about IPs or routing.

Before vs After
✗ Before
kubectl expose pod myapp --type=NodePort --port=80
# Manually find node IPs and ports to access
✓ After
kubectl apply -f ingress.yaml
# Ingress creates a Load Balancer that routes traffic automatically
What It Enables

You can easily scale your app and provide a reliable, fast user experience without manual network setup.

Real Life Example

A company launches a new app on GKE. With Ingress and Load Balancer, they handle thousands of users smoothly, even when adding or removing servers behind the scenes.

Key Takeaways

Manual traffic routing is slow and error-prone.

GKE Ingress with Load Balancer automates and balances traffic.

This makes apps scalable, reliable, and easier to manage.

Practice

(1/5)
1. What is the main purpose of using an Ingress with a Load Balancer in GKE?
easy
A. To restrict access to the cluster nodes only
B. To expose multiple services through a single external IP address
C. To create multiple IP addresses for each pod
D. To manage internal DNS records automatically

Solution

  1. Step 1: Understand Ingress role in GKE

    Ingress allows routing external traffic to multiple services inside the cluster using one IP.
  2. Step 2: Recognize Load Balancer function

    The Load Balancer created by Ingress exposes a single external IP to route traffic.
  3. Final Answer:

    To expose multiple services through a single external IP address -> Option B
  4. Quick Check:

    Ingress + Load Balancer = Single IP for many services [OK]
Hint: Ingress combines services under one IP address [OK]
Common Mistakes:
  • Thinking each pod gets its own IP
  • Confusing internal DNS with external exposure
  • Assuming Load Balancer creates multiple IPs
2. Which annotation is used in a GKE Ingress resource to specify the creation of a Google Cloud HTTP(S) Load Balancer?
easy
A. cloud.google.com/load-balancer-type: 'internal'
B. kubernetes.io/ingress.class: 'nginx'
C. kubernetes.io/ingress.class: 'gce'
D. networking.gke.io/load-balancer: 'external'

Solution

  1. Step 1: Identify GKE Ingress annotation for Load Balancer

    The annotation 'kubernetes.io/ingress.class: gce' tells GKE to use Google Cloud Load Balancer.
  2. Step 2: Differentiate from other ingress classes

    'nginx' is for NGINX ingress controller, not GCP Load Balancer.
  3. Final Answer:

    kubernetes.io/ingress.class: 'gce' -> Option C
  4. Quick Check:

    Use 'gce' annotation for GCP Load Balancer [OK]
Hint: Use 'kubernetes.io/ingress.class: gce' for GCP Load Balancer [OK]
Common Mistakes:
  • Using 'nginx' instead of 'gce' annotation
  • Confusing internal vs external load balancer annotations
  • Using non-existent annotation keys
3. Given this Ingress YAML snippet, what will happen when a user visits http://example.com/api?
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: example-ingress
  annotations:
    kubernetes.io/ingress.class: "gce"
spec:
  rules:
  - host: example.com
    http:
      paths:
      - path: /api
        pathType: Prefix
        backend:
          service:
            name: api-service
            port:
              number: 80
      - path: /
        pathType: Prefix
        backend:
          service:
            name: web-service
            port:
              number: 80
medium
A. Traffic to /api goes to api-service; all other paths go to web-service
B. Traffic to /api goes to web-service; all other paths go to api-service
C. All traffic goes to api-service regardless of path
D. Ingress will reject traffic because of conflicting paths

Solution

  1. Step 1: Analyze path rules in Ingress

    The rule for path '/api' with pathType Prefix directs matching requests to 'api-service'.
  2. Step 2: Understand default path routing

    The path '/' with Prefix matches all other requests and routes them to 'web-service'.
  3. Final Answer:

    Traffic to /api goes to api-service; all other paths go to web-service -> Option A
  4. Quick Check:

    Specific path matches first, then default [OK]
Hint: Specific paths route before general '/' path [OK]
Common Mistakes:
  • Assuming '/' path overrides /api
  • Thinking all traffic goes to one service
  • Believing Ingress rejects overlapping paths
4. You created an Ingress with annotation kubernetes.io/ingress.class: nginx in GKE but no external IP is assigned. What is the likely cause?
medium
A. GKE does not create a Google Cloud Load Balancer for 'nginx' ingress class
B. The Ingress resource is missing the service port definition
C. The cluster nodes are not labeled correctly
D. The Ingress controller is automatically created and running

Solution

  1. Step 1: Understand Ingress class annotation effect

    Annotation 'nginx' tells GKE to use NGINX ingress controller, which does not create a GCP Load Balancer automatically.
  2. Step 2: Recognize Load Balancer creation requirements

    Only 'gce' ingress class triggers Google Cloud Load Balancer creation with external IP.
  3. Final Answer:

    GKE does not create a Google Cloud Load Balancer for 'nginx' ingress class -> Option A
  4. Quick Check:

    'nginx' ingress needs separate controller, no auto Load Balancer [OK]
Hint: Use 'gce' annotation for auto Load Balancer in GKE [OK]
Common Mistakes:
  • Assuming 'nginx' creates GCP Load Balancer automatically
  • Blaming missing service port for no IP
  • Thinking cluster node labels affect Load Balancer creation
5. You want to expose two services, frontend and backend, on the same IP but different paths using GKE Ingress with a Load Balancer. Which YAML snippet correctly configures this?
hard
A. apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress annotations: kubernetes.io/ingress.class: "gce" spec: rules: - http: paths: - path: /frontend pathType: Prefix backend: service: name: frontend port: number: 80 - path: /backend pathType: Prefix backend: service: name: backend port: number: 80
B. apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress spec: rules: - host: "*" http: paths: - path: /frontend backend: serviceName: frontend servicePort: 80 - path: /backend backend: serviceName: backend servicePort: 80
C. apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress annotations: kubernetes.io/ingress.class: "nginx" spec: rules: - host: example.com http: paths: - path: /frontend pathType: Prefix backend: service: name: frontend port: number: 80 - path: /backend pathType: Prefix backend: service: name: backend port: number: 80
D. apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress annotations: kubernetes.io/ingress.class: "gce" spec: rules: - host: example.com http: paths: - path: /frontend pathType: Prefix backend: service: name: frontend port: number: 80 - path: /backend pathType: Prefix backend: service: name: backend port: number: 80

Solution

  1. Step 1: Confirm correct annotation for GCP Load Balancer

    Options A and D use 'kubernetes.io/ingress.class: gce', which is correct for GKE Load Balancer.
  2. Step 2: Check pathType and host usage

    apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress annotations: kubernetes.io/ingress.class: "gce" spec: rules: - host: example.com http: paths: - path: /frontend pathType: Prefix backend: service: name: frontend port: number: 80 - path: /backend pathType: Prefix backend: service: name: backend port: number: 80 uses 'Prefix' pathType with a host, ensuring precise routing for /frontend and /backend paths on example.com.
  3. Step 3: Identify deprecated or incorrect syntax

    apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress spec: rules: - host: "*" http: paths: - path: /frontend backend: serviceName: frontend servicePort: 80 - path: /backend backend: serviceName: backend servicePort: 80 uses deprecated 'serviceName' and 'servicePort' keys and lacks annotation; apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress annotations: kubernetes.io/ingress.class: "nginx" spec: rules: - host: example.com http: paths: - path: /frontend pathType: Prefix backend: service: name: frontend port: number: 80 - path: /backend pathType: Prefix backend: service: name: backend port: number: 80 uses 'nginx' ingress class, not GCE; apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: multi-service-ingress annotations: kubernetes.io/ingress.class: "gce" spec: rules: - http: paths: - path: /frontend pathType: Prefix backend: service: name: frontend port: number: 80 - path: /backend pathType: Prefix backend: service: name: backend port: number: 80 is missing host and incomplete.
  4. Final Answer:

    Option D correctly configures two services on same IP with prefix path matching and GCE Load Balancer -> Option D
  5. Quick Check:

    Use 'gce' annotation + prefix paths + host for precise multi-service routing [OK]
Hint: Use 'gce' annotation and prefix pathType for multi-service routing [OK]
Common Mistakes:
  • Using 'nginx' annotation instead of 'gce'
  • Using deprecated serviceName/servicePort keys
  • Not specifying host or using wrong pathType
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