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GitHub + Azure “microservices” Baseline Blueprint

An all-purpose microservices blueprint to kickstart a successful DevOps workflow on Azure accompanying our associated partner program that can be taken to market for the purposes of lead generation in this space.

This repository contains instructions for partners willing to utilize our baseline blueprint to kickstart the creation of bespoke solutions based on GitHub, Azure, Docker (ACR), Kubernetes (AKS) as well being connected to an Azure DevOps project with a CI/CD pipeline to illustrate a blue/green strategy for microservice architectures.

⚠️ Please note: To save on Azure billing costs the VMs may occasionally be in the Stopped state. This will be solved once this project is moved to an organization level account (see TODOs).

Business Value Proposition

The “microservices” blueprint helps our partners visualize what a modern development workflow looks like and how it could be implemented in organizations at scale, using a baseline definition that can be expanded as needed depending on specific requirements. For more info about the business value proposition, please refer to the Partner Program document.

Blueprint Description

The goal of this baseline blueprint is to illustrate how teams can collaborate efficiently on different microservice repositories on GitHub and go from pull request to production with guaranteed zero downtime thanks to a blue/green deployment strategy.

Azure Boards allows project managers and collaborators to leverage an agile workflow while tracking all work items for regulatory purposes. The tight integration offered by the AKS managed K8S solution simplifies the deployment and operations of a Kubernetes based “service mesh” and enables teams to dynamically scale the application infrastructure with confidence and agility.

Blueprint diagram

Key components and their respective implementation status:

Component Scope Status
GitHub CI/CD, Pull Request checks, Branch Protection 🔶
Azure DevOps Build, Push to private registry (ACR), Release via blue/green strategy (AKS)
Azure Kubernetes Service Manually configured cluster with instructions
Azure Kubernetes Service Automatic provisionin via ARM or Terraform 🔴
Azure Boards Project Management and GitHub integration with Work Items, Releases, Commits 🔶
Azure Application Insights Monitoring and metrics-based gated rollouts 🔴

Legend: ✅ = Done, 🔶 = WIP, 🔴 = TODO

Please note The deployed instance is presently hosted on the personal Azure account of https://github.com/pierluigi.

Blue/Green and Canary Deployments with Azure DevOps, Istio and AKS

Blue/Green diagram

Blueprint deployment

Follow this guide to implement a blue/green deployment strategy using Azure Pipelines targeting a polyglot application deployed to an Azure Kubernetes Cluster using Helm. Istio is used to shape traffic to different versions of the same microservice giving full control on what your users see and controlling the flow of releases throughout the pipeline.

The web ui, currently located at http://168.61.161.70/ will show a table with the current Istio routing layout:

Routing table

Demo script

Please note the Pipeline is configured to only trigger CI builds for changes under the app/* folder. This is to prevent redundant executions.

Deploy AKS and install Helm

Let's start by creating a resource group and provisioning our K8S cluster called mesh on AKS. On you Azure Cloud Shell:

az group create --location centralus --name aks
az aks create -g aks -n mesh -k 1.11.4
az aks get-credentials -g aks -n mesh

# deploy helm
kubectl create serviceaccount -n kube-system tiller; kubectl create clusterrolebinding tiller --clusterrole=cluster-admin --serviceaccount=kube-system:tiller; helm init --service-account tiller

Install istio

Istio allows us to create a virtual service that will be our edge router/proxy capable of fanning out our traffic internally in the cluster based on the desired strategy (in our case a blue/green style deployment). By using its "sidecar injection" mechanisms, our services will be discovered and proxied automatically. For additional information refer to the official docs.

curl -L https://git.io/getLatestIstio | sh -
cd istio-1.0.3
kubectl apply -f install/kubernetes/helm/istio/templates/crds.yaml
kubectl apply -f install/kubernetes/istio-demo-auth.yaml

# Enable the automatic sidecar injector
kubectl label namespace default istio-injection=enabled

# Our pods will be in the Running/Completed state soon
kubectl get pods -n istio-system
kubectl get svc -n istio-system

Create the private Azure Container Registry (ACR) to host our docker containers

Follow the instructions to create your private ACR and make sure to enable Admin user access. Note down the access keys for admin user in ACR Access Keys section of the portal.

⚠️ Please note: the following method is NOT a security best practice. We advise you read the official docs to understand the implications and that this is meant for experimentation and not for production use.

To ensure the docker connection can be established from AKS to the ACR, a docker-registry secret needs to be definied.

kubectl create secret docker-registry acrsecret --docker-server "<REGISTRY_NAME>.azurecr.io" --docker-username <USERNAME> --docker-password <PASSWORD>

Azure DevOps docs recommend to rename azure-pipelines.yml to azure-pipelines.acr.yml and update this in the devops build WEB UI setting pane (see https://docs.microsoft.com/en-us/azure/devops/pipelines/languages/docker?view=vsts&tabs=yaml).

Create the Azure DevOps Release Pipeline

Workflow (simplified)

Blueprint workflow

This Azure DevOps Work Item tracks the progress of the release pipeline YAML definition support. Until that is ready, please import the provided pipeline JSON definition in the repo.

Deploy all pods at once

To illustrsate the current setup we will perform a manual deployment. Please note: this requires the specified container tags as defined in the smackweb.yaml and smackapi.yaml files to exist in the ACR beforehand.

cd manual_deploy
kubectl apply -f .

Verify web app is running

kubectl get svc -n istio-system
# Find the row corresponding to this:
# NAME                     TYPE           CLUSTER-IP     EXTERNAL-IP     PORT(S)
# {...}
# istio-ingressgateway     LoadBalancer   10.0.134.104   168.61.161.70   80:31380/TCP,443:31390/TCP,31400:31400/TCP,15011:30482/TCP,8060:30740/TCP,853:31204/TCP,15030:31704/TCP,15031:31097/TCP   38m
# {...}
# and paste the EXTERNAL_IP in your browser to load the web app's dashboard. 
# By default it shows a 50/50 Blue/green deployment

Modify blue/green traffic routing

# Modify the weights at the end of smackapi-vs.yaml
# ...
  http:
  - route:
    - destination:
        host: smackapi
        subset: blue
      weight: 100 # max out blue
    - destination:
        host: smackapi
        subset: green
      weight: 0 # zero out green

Now apply the updated template:

kubectl apply -f smackapi-vs.yaml

Reload the web app to see all blue nodes.

Build an Azure DevOps Build definition

Create a project and a build pipeline connected to Github and point it to azure-pipelines.yml Import the Blue/Green pipeline from the provided JSON file in the repo for the Azure DevOps Pipelines.

Optional

Install istioctl on mac

brew tap ams0/istioctl
brew install istioctl

Add a DNS entry for istio-ingressgateway

kubectl get svc istio-ingressgateway -n istio-system -o jsonpath='{.status.loadBalancer.ingress[0].ip}'
# Returns your IP
az network dns record-set a add-record -g dns -z <YOUR_FQDN> -n *.mesh --value <IP>

Additional Work

TODO:

  • Extract Azure DevOps project to githubpartners organization account
  • Move ACR and AKS to the githubpartners org on Azure

Credits

Thanks to Alessandro Vozza's WinOps 2018 talk.

Useful links