Azure DevOps & CAEPE: Streamlining Multicloud & Hybrid Kubernetes Application Deployments  (Part 2) 

Role of each tool 

 Azure Repos serves as the source control system, while Azure Pipelines functions as the build system. CAEPE takes charge of deploying and promoting releases between environments. The diagram below illustrates how these tools work together.

Azure DevOps Pre-requisites

Part 1: CAEPE features for simplified deployment 

Confident Delivery 

Confident Delivery is a concept within CAEPE. It refers to pre and post-deployment testing that ensures your deployments are optimized when it comes to utilization and performance of your infrastructure. It provides diagnostics that enable you to evaluate variables such as uptime, backup and restore, infrastructure costs and elasticity. 

You specify which Confident Delivery features to enable when you set up a new deployment.

Pre-Flight Test

Before we discuss the integration, let’s look at how CAEPE simplifies managing deployments. 

Cluster Groups 

CAEPE allows the grouping of clusters, enabling a single deployment to multiple clusters with minimal effort, regardless of their locations

Deployment Strategies 

Within CAEPE, major deployment strategies can be employed and applied to a cluster group. 

Dry Run

Part 2: Setting up the integration between ADO & CAEPE 

Now, let’s examine the integration with ADO.  
 
A. Build

Utilize Azure Pipelines to build/test your application code and generate the required artifacts. In your repository, edit the azure-pipelines.yml and add the code below: 

Copy Code
name : Build, Test and Push 

trigger: 
- main 
pool: 
  vmImage: ubuntu-latest 

strategy: 
  matrix: 
    Python38: 
      python.version: '3.8' 
    Python39: 
      python.version: '3.9' 
    Python310: 
      python.version: '3.10' 

steps: 

- task: UsePythonVersion@0 
  displayName: Build and test code 
  inputs: 
    versionSpec: '$(python.version)' 
  displayName: 'Use Python $(python.version)' 

- script: | 
    python -m pip install --upgrade pip 
    pip install -r requirements.txt 
  displayName: 'Install dependencies' 

- script: | 
    pip install pytest pytest-azurepipelines 
    pytest 
  displayName: 'pytest' 

- task: Docker@2 
  displayName: Build and push image to container registry 
  inputs: 
    command: buildAndPush 
    repository: $(imageRepository) 
    dockerfile: $(dockerfilePath) 
    containerRegistry: $(dockerRegistryServiceConnection) 
    tags: | 
      $(tag)

B. Release 

  1. Add the artifacts

  1. Create a deploy task with bash script and add the code below:

  1. Add the CAEPE trigger 
     
    Add the CAEPE trigger to your Azure Pipelines workflow to initiate deployments to Kubernetes clusters. ADO will trigger a CAEPE deployment to a selected environment after every build. Configure the action with necessary parameters like application name, version, and target environment. CAEPE provides various options, including CLI, API, or webhooks. I’ve given examples for all options below: 

CAEPE CLI

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# Write your commands here 

set -x  

ls -lart ${AGENT_RELEASEDIRECTORY} 
ls -lart ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64 
chmod 755 ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 

#-- Authenticate 

CAEPE_CLIENTID=$(CLIENTID) CAEPE_CLIENTSECRET=$(CLIENTSECRET) ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 login --organization $(ORG) 

#-- Trigger Deployment 

${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 deployment rollout -d $(DEPNAME) --hostname $(HOST1) --organization $(ORG) --scheme https --debug

CAEPE API

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# Write your commands here 
set -x  

ls -lart ${AGENT_RELEASEDIRECTORY} 
ls -lart ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64 
chmod 755 ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 

#-- Authenticate 
CAEPE_CLIENTID=$(CLIENTID) CAEPE_CLIENTSECRET=$(CLIENTSECRET) ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 login --organization $(ORG) 

#-- Trigger Deployment 
curl -X POST https://www/v2/Deployments -H accept: application/json -H organization: myorg -H Content-Type: application/json -d {"name":"string","description":"string","namespace":"string","cluster":{"clusterName":"string","clusterId":"string"},"application":"string","deploymentType":"standard","postDeployActivities":[{"postDeployActivities":"smoketest"}],"release":{"branch":"string","message":"string"},"accessGroups":[{"name":"string","id":"string"}],"strategy":{"name":"string"},"arguments":[{"key":"string","value":"string","clusterOrGroup":"string"}]}

CAEPE WEBHOOK

Copy Code
# Write your commands here 
set -x  

ls -lart ${AGENT_RELEASEDIRECTORY} 
ls -lart ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64 
chmod 755 ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 
 
#-- Authenticate 
CAEPE_CLIENTID=$(CLIENTID) CAEPE_CLIENTSECRET=$(CLIENTSECRET) ${AGENT_RELEASEDIRECTORY}/_caepe-cli-linux-amd64/caepe-cli-linux-amd64 login --organization $(ORG) 

#-- Trigger Deployment 
curl -H "Content-Type:application/json" -X POST --data "{\"foo\": \"bar\"}" https://hook.caepe.sh/serviceid/trigger/jobid



Conclusion: Streamline Your CI/CD Pipeline with CAEPE and ADO

By following the step-by-step guide provided in this article, seamlessly integrate CAEPE with ADO and leverage their combined capabilities for efficient Kubernetes deployments. This integration significantly streamlines your DevOps workflow and Kubernetes deployments. As a CD tool, CAEPE automates the deployment process, facilitating quicker and more dependable software releases.

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