{"id":4132,"date":"2023-11-04T23:14:05","date_gmt":"2023-11-04T23:14:05","guid":{"rendered":"http:\/\/localhost:10003\/continuous-integration-and-deployment-using-codepipeline\/"},"modified":"2023-11-05T05:47:58","modified_gmt":"2023-11-05T05:47:58","slug":"continuous-integration-and-deployment-using-codepipeline","status":"publish","type":"post","link":"http:\/\/localhost:10003\/continuous-integration-and-deployment-using-codepipeline\/","title":{"rendered":"Continuous integration and deployment using CodePipeline"},"content":{"rendered":"<h1>Continuous Integration and Deployment using AWS CodePipeline<\/h1>\n<p>Continuous integration and deployment have become an integral part of modern software development. They allow for faster feedback, higher quality software, and quicker time to market. In this tutorial, we will be exploring AWS CodePipeline, a fully managed continuous integration and deployment service that automates the release process for your applications.<\/p>\n<h2>Prerequisites<\/h2>\n<p>Before we start, make sure you have the following prerequisites:<\/p>\n<ul>\n<li>An AWS account<\/li>\n<li>Basic knowledge of AWS services<\/li>\n<li>Basic knowledge of Git<\/li>\n<\/ul>\n<h2>Overview<\/h2>\n<p>AWS CodePipeline is a fully managed continuous integration and delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.<\/p>\n<p>Here is an overview of the AWS CodePipeline process:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/docs.aws.amazon.com\/codepipeline\/latest\/userguide\/images\/cp-diagram.png\" alt=\"AWS CodePipeline Overview\" \/><\/p>\n<h2>Setting Up CodePipeline<\/h2>\n<p>To set up AWS CodePipeline, follow these steps:<\/p>\n<ol>\n<li>Open the CodePipeline console in your AWS account.<\/li>\n<li>Choose <code>Create pipeline<\/code>.<\/li>\n<li>Enter a pipeline name.<\/li>\n<li>Choose your source provider (GitHub, AWS CodeCommit, or Amazon S3).<\/li>\n<li>Choose your repository and branch if applicable.<\/li>\n<li>Select the appropriate provider and project if applicable.<\/li>\n<li>Choose the build provider (AWS CodeBuild or Jenkins).<\/li>\n<li>Configure the build settings if using AWS CodeBuild.<\/li>\n<li>Choose the deployment provider (AWS Elastic Beanstalk, AWS Lambda, AWS ECS, or AWS CloudFormation). <\/li>\n<li>Configure the deployment settings if applicable.<\/li>\n<li>Choose <code>Create pipeline<\/code>.<\/li>\n<\/ol>\n<h2>Creating a Sample Application<\/h2>\n<p>For this tutorial, we will set up a simple Node.js application as an example. You can use any application you want, but make sure to modify the CodeBuild configuration file and buildspec accordingly.<\/p>\n<ol>\n<li>Create a new directory for your application.<\/li>\n<li>In the new directory, create a <code>package.json<\/code> file and add the following code:<\/li>\n<\/ol>\n<pre><code class=\"language-json\">{\n  \"name\": \"my-node-app\",\n  \"version\": \"1.0.0\",\n  \"description\": \"A simple Node.js app\",\n  \"main\": \"index.js\",\n  \"dependencies\": {\n    \"express\": \"^4.17.1\"\n  },\n  \"devDependencies\": {\n    \"aws-sdk\": \"^2.862.0\",\n    \"chai\": \"^4.2.0\",\n    \"mocha\": \"^7.2.0\",\n    \"sinon\": \"^9.0.2\"\n  }\n}\n<\/code><\/pre>\n<ol>\n<li>Create an <code>index.js<\/code> file and add the following code:<\/li>\n<\/ol>\n<pre><code class=\"language-javascript\">const express = require('express')\nconst app = express()\n\napp.get('\/', (req, res) =&gt; {\n  res.send('Hello World!')\n})\n\napp.listen(3000, () =&gt; {\n  console.log('Example app listening on port 3000!')\n})\n<\/code><\/pre>\n<ol>\n<li>Create a <code>test<\/code> directory and create a <code>test.js<\/code> file. Add the following code:<\/li>\n<\/ol>\n<pre><code class=\"language-javascript\">const assert = require('chai').assert\nconst sinon = require('sinon')\nconst AWS = require('aws-sdk')\n\ndescribe('Sample test', () =&gt; {\n  it('should return true', () =&gt; {\n    assert.equal(true, true)\n  })\n})\n<\/code><\/pre>\n<ol>\n<li>Initialize a new Git repository in the directory.<\/li>\n<\/ol>\n<h2>Setting Up CodeBuild<\/h2>\n<p>Now that we have created a sample application and set up CodePipeline, we can configure CodeBuild to build and test the application.<\/p>\n<ol>\n<li>Open the CodeBuild console in your AWS account.<\/li>\n<li>Choose <code>Create build project<\/code>.<\/li>\n<li>Enter a project name.<\/li>\n<li>Choose <code>Node.js<\/code> for the environment image.<\/li>\n<li>Choose <code>aws\/codebuild\/standard:4.0<\/code> for the Compute type.<\/li>\n<li>Configure the build settings:<\/li>\n<\/ol>\n<ul>\n<li>Source provider: AWS CodePipeline<\/li>\n<li>Environment variables: Add <code>NODE_ENV=production<\/code> as an environment variable.<\/li>\n<li>Buildspec: Use the following code:<\/li>\n<\/ul>\n<pre><code class=\"language-yaml\">version: 0.2\n\nphases:\n  install:\n    runtime-versions:\n      nodejs: 12\n    commands:\n      - npm install\n  build:\n    commands:\n      - npm run test\n      - npm run build\n\nartifacts:\n  files:\n    - '**\/*'\n  name: my-node-app\n<\/code><\/pre>\n<p>This configuration file installs the required dependencies, runs the tests, builds the application, and generates an artifact to be deployed.<\/p>\n<ol>\n<li>Choose <code>Create build project<\/code>.<\/li>\n<\/ol>\n<h2>Setting Up CodePipeline<\/h2>\n<p>Now that we have set up the application and CodeBuild, we can set up the pipeline to automate the process of building, testing, and deploying the application.<\/p>\n<ol>\n<li>Open the CodePipeline console in your AWS account.<\/li>\n<li>Choose <code>Create pipeline<\/code>.<\/li>\n<li>Enter a pipeline name.<\/li>\n<li>Choose <code>GitHub<\/code> for the source provider.<\/li>\n<li>Choose your repository and branch.<\/li>\n<li>Choose <code>AWS CodeBuild<\/code> for the build provider.<\/li>\n<li>Choose the CodeBuild project you created earlier.<\/li>\n<li>Choose <code>AWS Elastic Beanstalk<\/code> for the deployment provider.<\/li>\n<li>Configure the deployment settings:<\/li>\n<\/ol>\n<ul>\n<li>Application name: Enter the name of the Elastic Beanstalk application.<\/li>\n<li>Environment name: Enter the name of the Elastic Beanstalk environment.<\/li>\n<li>Deployment options:\n<ul>\n<li>Deployment type: Choose <code>in-place deployment<\/code>.<\/li>\n<li>Batch size: Choose <code>1<\/code>.<\/li>\n<li>Wait time: Choose <code>0<\/code>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ol>\n<li>Choose <code>Create pipeline<\/code>.<\/li>\n<\/ol>\n<h2>Deploying the Application<\/h2>\n<p>Now that we have set up the pipeline, we can deploy the application.<\/p>\n<ol>\n<li>Commit and push the code changes to GitHub.<\/li>\n<li>Open the CodePipeline console in your AWS account.<\/li>\n<li>You should see your pipeline in the console with a status of <code>InProgress<\/code>.<\/li>\n<li>Wait for the pipeline to complete.<\/li>\n<li>Open the Elastic Beanstalk console in your AWS account.<\/li>\n<li>You should see the new version of the application in the environment.<\/li>\n<li>Test the application to make sure it is working as expected.<\/li>\n<\/ol>\n<h2>Conclusion<\/h2>\n<p>In this tutorial, we have explored AWS CodePipeline, a fully managed continuous integration and deployment service that automates the release process for your applications. We have created a sample Node.js application and set up CodeBuild and CodePipeline to automatically build, test, and deploy the application to Elastic Beanstalk. By automating the release process, we can ensure faster feedback, higher quality software, and quicker time to market.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Continuous Integration and Deployment using AWS CodePipeline Continuous integration and deployment have become an integral part of modern software development. They allow for faster feedback, higher quality software, and quicker time to market. In this tutorial, we will be exploring AWS CodePipeline, a fully managed continuous integration and deployment service <a href=\"http:\/\/localhost:10003\/continuous-integration-and-deployment-using-codepipeline\/\" class=\"btn btn-link continue-link\">Continue Reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[704,1413,1412,572,1411],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Continuous integration and deployment using CodePipeline - Pantherax Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/localhost:10003\/continuous-integration-and-deployment-using-codepipeline\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Continuous integration and deployment using CodePipeline\" \/>\n<meta property=\"og:description\" content=\"Continuous Integration and Deployment using AWS CodePipeline Continuous integration and deployment have become an integral part of modern software development. 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