shaisrin000/argo-rollout-canary-sample-app

Example with Canary deployments for Argo Rollouts and Prometheus

Example Canary Deployment with Argo rollouts and Codefresh

This is an example Go application that exposes Prometheus metrics. It is compiled using Codefresh.

Original code modified from https://gabrieltanner.org/blog/collecting-prometheus-metrics-in-golang

How to build

Run:

• go build to get the executable OR
• docker build . -t example-app to create a container image if you prefer docker instead or don't have access to a Go dev environment

How to run the application on its own

• go run . OR
• docker run -p 8080:8080 example-app

Then visit http://localhost:8080 or http://localhost:8080/metrics

To use with Argo Rollouts

To install the controller

kubectl create namespace argo-rollouts
kubectl apply -n argo-rollouts -f https://raw.githubusercontent.com/argoproj/argo-rollouts/stable/manifests/install.yaml

To create the first deployment

kubectl create ns canary
kubectl apply -f ./canary-manual-approval -n canary

To monitor the status

kubectl argo rollouts get rollout golang-sample-app-deployment --watch -n canary

To create a new color

kubectl argo rollouts set image golang-sample-app-deployment golang-sample-app-container=kostiscodefresh/argo-rollouts-canary-sample-app:9c7732e -n canary

To promote the color

kubectl argo rollouts promote golang-sample-app-deployment -n canary

To reject or undo the deployment

kubectl argo rollouts abort canary-sample-app-deployment -n canary
kubectl argo rollouts undo canary-sample-app-deployment -n canary

To get the IP and port of the preview service

kubectl get svc  rollout-canary-preview -n canary -o jsonpath='{.status.loadBalancer.ingress[0].ip}'
kubectl get svc  rollout-canary-preview -n canary -o jsonpath='{.spec.ports[0].port}'

To use this project in Codefresh

There is also a codefresh.yaml for easy usage with the Codefresh CI/CD platform.

More details can be found in Codefresh documentation

You can also import graphana/graphana-dashboard.json as a premade dashboard

Enjoy!