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PoC focusing on pub-sub architecture, KEDA event-based autoscaler, RabbitMQ, MassTransit, .NET minimal APIs, and k6 API testing. All simply running in a local Kubernetes-in-Docker solution called k3d.

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Arsenikki/publish-subscribe-poc

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Publish-Subscribe PoC

Overview

Some notable tools utilized in this PoC:

  • k3s - Very lightweight Kubernetes distribution running in Docker
  • .NET 6/7 Minimal APIs
  • RabbitMQ - Message queue
  • MassTransit - Abstraction for messaging with RabbitMQ
  • KEDA - Kubernetes autoscaler
  • k6 - Load testing tooling used to stress test the system

Image

Installation

  1. Create the cluster:

    k3d registry create registry.local --port 0.0.0.0:5000
    k3d cluster create -c local-setup/k3d.config.yaml --registry-use k3d-registry.local:5000
    
  2. Build the pubi and subi services:

    docker-compose build
    
  3. Import the images from local Docker to the k3d cluster:

    k3d image import pubisubi-subi pubisubi-pubi -c local-k3s
    
  4. Install rabbitmq operator (run 2x as CRDs are pre-requisite for install):

    kubectl apply -k ./local-setup/rabbitmq/
    
  5. Deploy pubi and subi services:

    kubectl apply -f ./local-setup/subi/ -f ./local-setup/pubi/
    
  6. Deploy KEDA autoscaler (run 2x as CRDs are pre-requisite for install):

    kubectl apply -k ./local-setup/keda/
    

API Load Testing

docker run -it -v ${PWD}/k6/scripts:/scripts grafana/k6:latest run -u 100 -d 5s /scripts/work-script.js

TODO

  1. Run the setup to verify that it still works
  2. Draw a diagram of the setup
  3. Create a CI for Pubi and Subi services
    • Build the containers
    • Scan the containers for vulnerabilities using Trivy (Optional)
  4. Use GitOps for deployment
    • Install FluxCD
    • Add Flux Kustomizations and regular Kustomizations
    • Build OCI artifact from manifests
  5. Improve k6 load tests
    • Verify the request responses
    • Run as a Kubernetes job

About

PoC focusing on pub-sub architecture, KEDA event-based autoscaler, RabbitMQ, MassTransit, .NET minimal APIs, and k6 API testing. All simply running in a local Kubernetes-in-Docker solution called k3d.

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