Updated Feb 23, 2026

Envoy Gateway Setup

The previous lesson taught you Gateway API as a specification—the resources, the three-tier model, the role separation. But specifications do not route traffic. You need a controller that watches Gateway API resources and configures actual proxies to handle requests.

Envoy Gateway is that controller. Built specifically for Gateway API (not retrofitted from an older project), it uses Envoy Proxy as its data plane—the same battle-tested proxy that powers Istio, AWS App Mesh, and countless production deployments. When you create a Gateway resource, Envoy Gateway deploys Envoy proxies configured to match your specification.

This lesson installs Envoy Gateway in your Kubernetes cluster. By the end, you will have a working GatewayClass, understand how requests flow from your Gateway definition to actual traffic handling, and create your first Gateway resource.

Understanding Envoy Gateway Architecture

Before installing anything, you need to understand what Envoy Gateway deploys and how the pieces interact. The architecture has two distinct planes.

┌─────────────────────────────────────────────────────────────────────────────┐
│                          CONTROL PLANE                                       │
│                   (envoy-gateway-system namespace)                           │
│  ┌─────────────────────┐  ┌─────────────────────┐  ┌─────────────────────┐  │
│  │   Envoy Gateway     │  │    Gateway          │  │       Infra         │  │
│  │    Controller       │  │   Translator        │  │      Manager        │  │
│  │                     │  │                     │  │                     │  │
│  │ - Watches Gateway   │  │ - Converts Gateway  │  │ - Deploys Envoy     │  │
│  │   API resources     │  │   API to xDS        │  │   proxy pods        │  │
│  │ - Reconciles state  │  │ - Computes routes   │  │ - Manages Services  │  │
│  └─────────────────────┘  └─────────────────────┘  └─────────────────────┘  │
│            │                        │                        │              │
│            ▼                        ▼                        ▼              │
│  ┌─────────────────────────────────────────────────────────────────────┐   │
│  │                          xDS Server                                  │   │
│  │   Streams configuration to data plane via gRPC (xDS protocol)        │   │
│  └─────────────────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────────────────┘
                                    │
                                    │ xDS (gRPC streaming)
                                    ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                           DATA PLANE                                         │
│                    (dynamically created namespace)                           │
│  ┌──────────────┐     ┌──────────────┐     ┌──────────────┐                 │
│  │ Envoy Proxy  │     │ Envoy Proxy  │     │ Envoy Proxy  │                 │
│  │   Pod (1)    │     │   Pod (2)    │     │   Pod (n)    │                 │
│  │              │     │              │     │              │                 │
│  │ - Handles    │     │ - Handles    │     │ - Handles    │                 │
│  │   traffic    │     │   traffic    │     │   traffic    │                 │
│  │ - Receives   │     │ - Receives   │     │ - Receives   │                 │
│  │   config via │     │   config via │     │   config via │                 │
│  │   xDS        │     │   xDS        │     │   xDS        │                 │
│  └──────────────┘     └──────────────┘     └──────────────┘                 │
│         ▲                    ▲                    ▲                          │
│         │                    │                    │                          │
│         └────────────────────┼────────────────────┘                          │
│                              │                                               │
│                    LoadBalancer / NodePort                                   │
│                      (external traffic)                                      │
└─────────────────────────────────────────────────────────────────────────────┘

The Control Plane

The control plane runs in the envoy-gateway-system namespace. It consists of a single deployment that performs three functions:

Component	Purpose
Gateway Controller	Watches Kubernetes for Gateway API resources (GatewayClass, Gateway, HTTPRoute)
Gateway Translator	Converts Gateway API resources into Envoy xDS configuration
Infra Manager	Creates and manages Envoy proxy Deployments and Services

The control plane does not handle traffic. It manages configuration.

The Data Plane

When you create a Gateway resource, the Infra Manager deploys Envoy proxy pods. These proxies receive configuration from the control plane via the xDS protocol—a gRPC-based streaming API that Envoy uses for dynamic configuration.

The beauty of xDS: configuration changes happen without restarting proxies. Update an HTTPRoute, and within seconds the control plane pushes new routing configuration to all Envoy instances via xDS streams.

The xDS Protocol

xDS (x Discovery Service) is how Envoy receives configuration:

API	What It Configures
LDS (Listener)	Which ports to listen on
RDS (Route)	How to route requests
CDS (Cluster)	Backend services to route to
EDS (Endpoint)	Pod IPs for each service
SDS (Secret)	TLS certificates

You do not interact with xDS directly. You write Gateway API resources; Envoy Gateway translates them to xDS and streams updates to proxies.

Installing Gateway API CRDs

Gateway API CRDs define the resource types (GatewayClass, Gateway, HTTPRoute) that Kubernetes will recognize. Install them before Envoy Gateway.

Install the standard Gateway API CRDs:

kubectl apply -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.2.1/standard-install.yaml

Output:

customresourcedefinition.apiextensions.k8s.io/gatewayclasses.gateway.networking.k8s.io created
customresourcedefinition.apiextensions.k8s.io/gateways.gateway.networking.k8s.io created
customresourcedefinition.apiextensions.k8s.io/httproutes.gateway.networking.k8s.io created
customresourcedefinition.apiextensions.k8s.io/referencegrants.gateway.networking.k8s.io created

Verify the CRDs are installed:

kubectl get crds | grep gateway.networking.k8s.io

Output:

gatewayclasses.gateway.networking.k8s.io    2025-12-30T10:00:00Z
gateways.gateway.networking.k8s.io          2025-12-30T10:00:00Z
httproutes.gateway.networking.k8s.io        2025-12-30T10:00:00Z
referencegrants.gateway.networking.k8s.io   2025-12-30T10:00:00Z

The standard-install.yaml includes the core resources that reached General Availability (GA) in Gateway API v1.0:

CRD	Status	Purpose
GatewayClass	GA	Defines controller implementation
Gateway	GA	Traffic entry point
HTTPRoute	GA	HTTP routing rules
ReferenceGrant	GA	Cross-namespace access

Experimental resources (GRPCRoute, TCPRoute, etc.) require a separate installation if needed.

Installing Envoy Gateway via Helm

Envoy Gateway is distributed as a Helm chart from Docker Hub. The chart installs the control plane and creates the GatewayClass automatically.

Install Envoy Gateway v1.6.1:

helm install eg oci://docker.io/envoyproxy/gateway-helm \
  --version v1.6.1 \
  -n envoy-gateway-system \
  --create-namespace

Output:

Pulled: docker.io/envoyproxy/gateway-helm:v1.6.1
Digest: sha256:abc123...
NAME: eg
LAST DEPLOYED: Mon Dec 30 10:05:00 2025
NAMESPACE: envoy-gateway-system
STATUS: deployed
REVISION: 1
TEST SUITE: None

The --create-namespace flag creates envoy-gateway-system if it does not exist.

Wait for the controller to become available:

kubectl wait --timeout=5m -n envoy-gateway-system \
  deployment/envoy-gateway --for=condition=Available

Output:

deployment.apps/envoy-gateway condition met

Check the running pods:

kubectl get pods -n envoy-gateway-system

Output:

NAME                             READY   STATUS    RESTARTS   AGE
envoy-gateway-5f7d6b8c9f-xk2lj   1/1     Running   0          2m

A single pod runs the control plane. This is the component that watches Gateway API resources and manages the data plane.

Verifying the GatewayClass

Envoy Gateway automatically creates a GatewayClass named eg (short for "Envoy Gateway"). This class tells Kubernetes that Envoy Gateway will handle any Gateway referencing it.

Check the GatewayClass:

kubectl get gatewayclass

Output:

NAME   CONTROLLER                                      ACCEPTED   AGE
eg     gateway.envoyproxy.io/gatewayclass-controller   True       2m

The ACCEPTED: True status means the controller acknowledged this class. If you see False or no status, the controller is not running correctly.

View the GatewayClass details:

kubectl get gatewayclass eg -o yaml

Output:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:
  name: eg
spec:
  controllerName: gateway.envoyproxy.io/gatewayclass-controller
status:
  conditions:
  - lastTransitionTime: "2025-12-30T10:05:00Z"
    message: GatewayClass is accepted
    reason: Accepted
    status: "True"
    type: Accepted

The controllerName field is the key. Any Gateway referencing gatewayClassName: eg will be handled by the controller with this name.

Creating Your First Gateway

Now create a Gateway that uses the eg GatewayClass. This Gateway will listen for HTTP traffic on port 80.

Create task-api-gateway.yaml:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: task-api-gateway
  namespace: default
spec:
  gatewayClassName: eg
  listeners:
    - name: http
      protocol: HTTP
      port: 80
      allowedRoutes:
        namespaces:
          from: Same

Apply the Gateway:

kubectl apply -f task-api-gateway.yaml

Output:

gateway.gateway.networking.k8s.io/task-api-gateway created

Check the Gateway status:

kubectl get gateway task-api-gateway

Output:

NAME               CLASS   ADDRESS        PROGRAMMED   AGE
task-api-gateway   eg      10.96.123.45   True         30s

The PROGRAMMED: True status means Envoy Gateway successfully created the data plane resources.

View detailed status:

kubectl describe gateway task-api-gateway

Output:

Name:         task-api-gateway
Namespace:    default
Labels:       <none>
API Version:  gateway.networking.k8s.io/v1
Kind:         Gateway
Spec:
  Gateway Class Name:  eg
  Listeners:
    Allowed Routes:
      Namespaces:
        From:  Same
    Name:      http
    Port:      80
    Protocol:  HTTP
Status:
  Addresses:
    Type:   IPAddress
    Value:  10.96.123.45
  Conditions:
    Last Transition Time:  2025-12-30T10:10:00Z
    Message:               Gateway is accepted
    Reason:                Accepted
    Status:                True
    Type:                  Accepted
    Last Transition Time:  2025-12-30T10:10:05Z
    Message:               Gateway is programmed
    Reason:                Programmed
    Status:                True
    Type:                  Programmed
  Listeners:
    Attached Routes:  0
    Conditions:
      Last Transition Time:  2025-12-30T10:10:05Z
      Message:               Listener is programmed
      Reason:                Programmed
      Status:                True
      Type:                  Programmed
    Name:                    http
    Supported Kinds:
      Group:  gateway.networking.k8s.io
      Kind:   HTTPRoute

The status shows:

Accepted: Controller acknowledged the Gateway
Programmed: Data plane (Envoy proxies) deployed successfully
Addresses: Where traffic enters (IP assigned)
Listeners: Status of each listener and attached routes

What Envoy Gateway Created

When you created the Gateway, the Infra Manager deployed data plane resources. Examine them:

Check for Envoy proxy pods:

kubectl get pods -l gateway.envoyproxy.io/owning-gateway-name=task-api-gateway

Output:

NAME                                         READY   STATUS    RESTARTS   AGE
envoy-default-task-api-gateway-abc123-xyz    1/1     Running   0          1m

Envoy Gateway creates a Deployment for each Gateway. The pod runs the Envoy proxy that handles traffic.

Check the Service:

kubectl get svc -l gateway.envoyproxy.io/owning-gateway-name=task-api-gateway

Output:

NAME                                TYPE           CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
envoy-default-task-api-gateway      LoadBalancer   10.96.123.45   <pending>     80:31234/TCP   1m

The Service type is LoadBalancer by default. On Docker Desktop, the external IP may show <pending> until you access it via port-forward or the LoadBalancer assigns an IP.

Understanding EnvoyProxy CRD (Optional Customization)

The default Envoy deployment works for development. For production, you may need to customize resource limits, replicas, or add pod anti-affinity. Envoy Gateway provides the EnvoyProxy CRD for this.

Create envoy-proxy-config.yaml:

apiVersion: gateway.envoyproxy.io/v1alpha1
kind: EnvoyProxy
metadata:
  name: production-proxy
  namespace: envoy-gateway-system
spec:
  provider:
    type: Kubernetes
    kubernetes:
      envoyDeployment:
        replicas: 3
        container:
          resources:
            requests:
              cpu: 500m
              memory: 512Mi
            limits:
              cpu: 2000m
              memory: 2Gi
        pod:
          affinity:
            podAntiAffinity:
              preferredDuringSchedulingIgnoredDuringExecution:
              - weight: 100
                podAffinityTerm:
                  labelSelector:
                    matchLabels:
                      gateway.envoyproxy.io/owning-gateway-name: task-api-gateway
                  topologyKey: kubernetes.io/hostname

Reference the EnvoyProxy from GatewayClass:

To use this configuration, create production-gatewayclass.yaml:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:
  name: eg-production
spec:
  controllerName: gateway.envoyproxy.io/gatewayclass-controller
  parametersRef:
    group: gateway.envoyproxy.io
    kind: EnvoyProxy
    name: production-proxy
    namespace: envoy-gateway-system

Gateways using gatewayClassName: eg-production will deploy 3 Envoy replicas with production resource limits and anti-affinity rules spreading pods across nodes.

Common Troubleshooting

Gateway shows ACCEPTED but not PROGRAMMED

The control plane accepted the Gateway but failed to deploy the data plane.

Check controller logs:

kubectl logs -n envoy-gateway-system deployment/envoy-gateway

Output (example error):

ERROR   Failed to create Deployment   {"gateway": "default/task-api-gateway", "error": "insufficient resources"}

Common causes:

Insufficient cluster resources (CPU, memory)
Image pull errors (check container registry access)
Service account permissions

GatewayClass shows ACCEPTED: False

The controller is not running or not watching this GatewayClass.

Verify the controller is running:

kubectl get pods -n envoy-gateway-system

Verify the controller name matches:

kubectl get gatewayclass eg -o jsonpath='{.spec.controllerName}'

Output:

gateway.envoyproxy.io/gatewayclass-controller

This must match the controller Envoy Gateway advertises.

No external IP assigned

On Docker Desktop or clusters without a LoadBalancer controller, external IPs stay <pending>.

Use port-forward for local access:

kubectl port-forward svc/envoy-default-task-api-gateway 8080:80

Now access http://localhost:8080.

Exercises

Exercise 1: Install Gateway API CRDs

Install the standard Gateway API CRDs and verify:

kubectl apply -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.2.1/standard-install.yaml
kubectl get crds | grep gateway.networking.k8s.io

Expected: Four CRDs listed (gatewayclasses, gateways, httproutes, referencegrants)

Exercise 2: Install Envoy Gateway via Helm

Install Envoy Gateway and verify the controller is running:

helm install eg oci://docker.io/envoyproxy/gateway-helm \
  --version v1.6.1 \
  -n envoy-gateway-system \
  --create-namespace

kubectl wait --timeout=5m -n envoy-gateway-system \
  deployment/envoy-gateway --for=condition=Available

kubectl get pods -n envoy-gateway-system

Expected: envoy-gateway pod in Running state

Exercise 3: Verify GatewayClass

Check that the eg GatewayClass was created automatically:

kubectl get gatewayclass
kubectl get gatewayclass eg -o jsonpath='{.status.conditions[0].status}'

Expected: eg class with True for Accepted condition

Exercise 4: Create Gateway and Check Status

Create a Gateway and verify it becomes PROGRAMMED:

kubectl apply -f - <<EOF
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: exercise-gateway
  namespace: default
spec:
  gatewayClassName: eg
  listeners:
  - name: http
    protocol: HTTP
    port: 80
EOF

kubectl get gateway exercise-gateway

Expected: Gateway shows PROGRAMMED: True

Exercise 5: Examine Data Plane Resources

Find the Envoy proxy pods and Service created for your Gateway:

kubectl get pods -l gateway.envoyproxy.io/owning-gateway-name=exercise-gateway
kubectl get svc -l gateway.envoyproxy.io/owning-gateway-name=exercise-gateway

Expected: One Envoy pod running, one LoadBalancer Service

Reflect on Your Skill

You built a traffic-engineer skill in Lesson 0. Based on what you learned about Envoy Gateway:

Add Installation Commands

Your skill should now include Envoy Gateway installation:

# Gateway API CRDs
kubectl apply -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.2.1/standard-install.yaml

# Envoy Gateway controller
helm install eg oci://docker.io/envoyproxy/gateway-helm \
  --version v1.6.1 \
  -n envoy-gateway-system \
  --create-namespace

What verification steps are essential?

Check GatewayClass exists: kubectl get gatewayclass eg
Check controller is running: kubectl get pods -n envoy-gateway-system
Check Gateway becomes PROGRAMMED after creation

Add Troubleshooting Guidance

Your skill should include common issues:

Symptom	Check	Likely Cause
GatewayClass not ACCEPTED	Controller logs	Controller not running
Gateway not PROGRAMMED	Controller logs	Resource limits, image pull
No external IP	Service type	No LoadBalancer controller

Consider EnvoyProxy Customization

For production deployments, your skill should ask:

How many replicas do you need?
What resource limits are appropriate?
Should pods spread across nodes?

If the answer is "production," generate an EnvoyProxy CRD with the custom GatewayClass.

Try With AI

Explore Architecture Internals

Ask your traffic-engineer skill to explain the architecture:

Using my traffic-engineer skill, explain how Envoy Gateway's xDS protocol works.

When I create a Gateway resource, what happens step by step?
How does configuration flow from the Gateway YAML to actual traffic handling?

What you're learning: The internal mechanics of Envoy Gateway. AI can explain the sequence: Gateway Controller watches -> Translator converts to xDS -> xDS Server streams to Envoy proxies. Compare this to the architecture diagram in this lesson.

Evaluate the Explanation

Review what AI provided. Check:

Did it mention the control plane vs data plane distinction?
Did it explain xDS streaming (not file-based configuration)?
Did it describe the specific xDS APIs (LDS, RDS, CDS, EDS)?

If anything is missing or incorrect, tell AI what you learned in this lesson and ask it to refine its explanation.

Customize for Production

Tell AI about your production requirements:

I need to customize Envoy proxy resource limits for production.
My requirements:
- 3 replicas for high availability
- 500m/512Mi requests, 2/2Gi limits
- Pods should spread across different nodes

Generate the EnvoyProxy CRD and explain how to reference it from a GatewayClass.

What you're learning: Working with AI to generate Kubernetes resources. AI should produce an EnvoyProxy with replicas: 3, resource limits, and pod anti-affinity. Verify the YAML matches what you learned in the EnvoyProxy section.

Review and Refine

If AI's EnvoyProxy YAML differs from the lesson, work through the differences:

Is the API version correct (gateway.envoyproxy.io/v1alpha1)?
Does it include the parametersRef in the GatewayClass?
Are the pod affinity rules structured correctly?

This iteration—AI suggests, you validate, AI refines—is how production configurations emerge.

Safety Note

When installing Envoy Gateway in shared or production clusters, coordinate with your platform team. The GatewayClass and CRDs are cluster-scoped resources. Multiple installations of Gateway API CRDs can conflict if versions differ. Always check for existing installations with kubectl get crds | grep gateway before applying new CRDs.

Understanding Envoy Gateway Architecture​

The Control Plane​

The Data Plane​

The xDS Protocol​

Installing Gateway API CRDs​

Installing Envoy Gateway via Helm​

Verifying the GatewayClass​

Creating Your First Gateway​

What Envoy Gateway Created​

Understanding EnvoyProxy CRD (Optional Customization)​

Common Troubleshooting​

Gateway shows ACCEPTED but not PROGRAMMED​

GatewayClass shows ACCEPTED: False​

No external IP assigned​

Exercises​

Exercise 1: Install Gateway API CRDs​

Exercise 2: Install Envoy Gateway via Helm​

Exercise 3: Verify GatewayClass​

Exercise 4: Create Gateway and Check Status​

Exercise 5: Examine Data Plane Resources​

Reflect on Your Skill​

Add Installation Commands​

Add Troubleshooting Guidance​

Consider EnvoyProxy Customization​

Try With AI​

Explore Architecture Internals​

Evaluate the Explanation​

Customize for Production​

Review and Refine​

Safety Note​

Understanding Envoy Gateway Architecture

The Control Plane

The Data Plane

The xDS Protocol

Installing Gateway API CRDs

Installing Envoy Gateway via Helm

Verifying the GatewayClass

Creating Your First Gateway

What Envoy Gateway Created

Understanding EnvoyProxy CRD (Optional Customization)

Common Troubleshooting

Gateway shows ACCEPTED but not PROGRAMMED

GatewayClass shows ACCEPTED: False

No external IP assigned

Exercises

Exercise 1: Install Gateway API CRDs

Exercise 2: Install Envoy Gateway via Helm

Exercise 3: Verify GatewayClass

Exercise 4: Create Gateway and Check Status

Exercise 5: Examine Data Plane Resources

Reflect on Your Skill

Add Installation Commands

Add Troubleshooting Guidance

Consider EnvoyProxy Customization

Try With AI

Explore Architecture Internals

Evaluate the Explanation

Customize for Production

Review and Refine

Safety Note