How to best run symfony messenger worker on kubernetes?

by tressie.damore , in category: PHP Frameworks , a month ago

How to best run symfony messenger worker on kubernetes?

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1 answer

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by lily , a month ago

@tressie.damore 

To run Symfony Messenger worker on Kubernetes, you can follow these steps:

  1. Create a Docker image: Build a Docker image that includes your Symfony application code and necessary dependencies. You can use a multi-stage build to optimize the final image.
  2. Push the Docker image to a registry: Push the Docker image to a container registry like Docker Hub, Google Container Registry, or Amazon ECR. Make sure the image is accessible to your Kubernetes cluster.
  3. Create a Kubernetes deployment: Define a Kubernetes deployment YAML file that specifies the configuration for running the Messenger worker as a Kubernetes pod. Here's an example:
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apiVersion: apps/v1
kind: Deployment
metadata:
  name: messenger-worker
  labels:
    app: messenger-worker
spec:
  replicas: 1
  selector:
    matchLabels:
      app: messenger-worker
  template:
    metadata:
      labels:
        app: messenger-worker
    spec:
      containers:
        - name: messenger-worker
          image: your-registry/messenger-worker-image:tag
          resources:
            limits:
              memory: "128Mi"
              cpu: "200m"
          # Add environment variables or config maps as needed
          env:
            - name: MESSENGER_TRANSPORT_DSN
              value: ...
          command: ["php", "bin/console", "messenger:consume"]


Replace your-registry/messenger-worker-image:tag with the actual URL of your Docker image.

  1. Deploy the Kubernetes deployment: Apply the deployment configuration to your Kubernetes cluster using the kubectl apply command:
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kubectl apply -f messenger-worker-deployment.yaml


This will create the Messenger worker pods as specified in the deployment configuration.

  1. Monitor the worker: You can monitor logs, check pod status, and scaling behavior using Kubernetes commands like kubectl logs and kubectl get pods.


That's it! With this setup, Kubernetes will ensure the worker pods are running, restart them if they fail, and scale them up or down based on the defined replicas.