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Deploying to AWS Kubernetes from Azure DevOps: A Guide

In the world of data science, deploying applications to cloud platforms is a common task. Today, we’ll be focusing on how to deploy to AWS Kubernetes from Azure DevOps. This guide is designed for data scientists who are familiar with Azure DevOps and AWS but may not have experience deploying to AWS Kubernetes from Azure DevOps.
By Saturn Cloud | | Miscellaneous

Deploying to AWS Kubernetes from Azure DevOps: A Guide

In the world of data science, deploying applications to cloud platforms is a common task. Today, we’ll be focusing on how to deploy to AWS Kubernetes from Azure DevOps. This guide is designed for data scientists who are familiar with Azure DevOps and AWS but may not have experience deploying to AWS Kubernetes from Azure DevOps.

Introduction

AWS Kubernetes, also known as Amazon Elastic Kubernetes Service (EKS), is a managed service that makes it easy to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane or nodes. Azure DevOps, on the other hand, is a suite of development tools for software teams. It provides an end-to-end DevOps toolchain for developing and deploying software.

Prerequisites

Before we begin, ensure that you have the following:

  • An AWS account
  • An Azure DevOps account
  • AWS CLI installed and configured
  • kubectl installed

Step 1: Setting Up Your AWS EKS Cluster

First, you’ll need to set up your AWS EKS cluster. AWS provides a comprehensive guide on how to do this, which you can find here.

Step 2: Configuring Azure DevOps

Next, you’ll need to configure Azure DevOps. This involves creating a new project and setting up a service connection for AWS.

To create a new project:

  1. Sign in to your Azure DevOps organization.
  2. Click on ‘New Project’.
  3. Enter the project details and click ‘Create’.

To set up a service connection for AWS:

  1. Go to ‘Project settings’ > ‘Service connections’.
  2. Click on ‘New service connection’ and select ‘AWS’.
  3. Enter your AWS credentials and click ‘Save’.

Step 3: Creating a Kubernetes Deployment YAML File

You’ll need to create a Kubernetes deployment YAML file. This file describes the desired state for your application. Here’s a simple example:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: my-app
  template:
    metadata:
      labels:
        app: my-app
    spec:
      containers:
      - name: my-app
        image: my-app:1.0.0

Step 4: Creating a Pipeline in Azure DevOps

Now, you’ll create a pipeline in Azure DevOps to deploy your application to AWS EKS.

  1. Go to ‘Pipelines’ > ‘New pipeline’.
  2. Select ‘AWS’ as the location of your code.
  3. Select ‘Kubernetes’ as the template.
  4. In the pipeline YAML file, replace the contents with the following:
trigger:
- master

pool:
  vmImage: 'ubuntu-latest'

steps:
- task: Kubernetes@1
  inputs:
    connectionType: 'Kubernetes Service Connection'
    kubernetesServiceEndpoint: 'AWS'
    namespace: 'default'
    command: 'apply'
    arguments: '-f deployment.yaml'
  1. Click ‘Save and run’.

Conclusion

In this guide, we’ve walked through the process of deploying to AWS Kubernetes from Azure DevOps. This process involves setting up your AWS EKS cluster, configuring Azure DevOps, creating a Kubernetes deployment YAML file, and creating a pipeline in Azure DevOps. By following these steps, you can streamline your deployment process and ensure that your applications are deployed efficiently and reliably.

Remember, this is just a basic guide. Depending on your specific needs, you may need to adjust these steps. Always refer to the official AWS and Azure DevOps documentation for the most accurate and up-to-date information.

Keywords

  • AWS Kubernetes
  • Azure DevOps
  • AWS EKS cluster
  • Kubernetes deployment YAML file
  • Azure DevOps pipeline
  • AWS service connection
  • Kubernetes Service Connection
  • AWS CLI
  • kubectl
  • DevOps toolchain
  • AWS credentials
  • Kubernetes template
  • Kubernetes command
  • Kubernetes apply
  • Kubernetes namespace
  • Kubernetes containers
  • Kubernetes labels
  • Kubernetes replicas
  • Kubernetes spec
  • Kubernetes metadata
  • Kubernetes apiVersion
  • Kubernetes kind
  • Kubernetes matchLabels
  • Kubernetes template
  • Kubernetes spec
  • Kubernetes containers
  • Kubernetes name
  • Kubernetes image

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