Setting Up AWS CodePipeline with Terraform: A Step-by-Step Guide
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Chapter 1: Introduction to AWS CodePipeline
To configure AWS CodePipeline using Terraform, you will need to establish the various stages of your pipeline along with their actions. This guide will walk you through setting up a pipeline that includes the following stages: Source, CodeBuild, Test (Selenium), Stage, and Production. Below is a Terraform configuration example to create such a pipeline.
Ensure that you have Terraform installed and your AWS credentials set up correctly.
Section 1.1: Configuring the Provider
First, define your AWS provider block:
provider "aws" {
region = "us-east-1" # Adjust to your preferred AWS region
}
Next, create an S3 bucket to store your pipeline artifacts:
resource "aws_s3_bucket" "pipeline_artifacts" {
bucket = "my-codepipeline-artifacts-bucket" # Ensure this is a unique name
acl = "private"
}
Section 1.2: Defining the CodePipeline
Now, set up the AWS CodePipeline:
resource "aws_codepipeline" "my_pipeline" {
name = "MyCodePipeline"
role_arn = aws_iam_role.codepipeline_role.arn
artifact_store {
location = aws_s3_bucket.pipeline_artifacts.bucket
type = "S3"
}
}
Create an IAM role specifically for CodePipeline:
resource "aws_iam_role" "codepipeline_role" {
name = "codepipeline-service-role"
assume_role_policy = jsonencode({
Version = "2012-10-17",
Statement = [{
Action = "sts:AssumeRole",
Effect = "Allow",
Principal = {
Service = "codepipeline.amazonaws.com"}
}]
})
}
Attach necessary policies to the role:
resource "aws_iam_policy_attachment" "codepipeline_attachment" {
policy_arn = "arn:aws:iam::aws:policy/AWSCodePipeline_FullAccess"
role = aws_iam_role.codepipeline_role.name
}
Chapter 2: Integrating Stages and Actions
The first video titled "AWS CodePipeline Automation with Terraform" provides an overview of automating your pipeline configuration with Terraform.
Section 2.1: Setting Up the Source Stage
For the source stage, you might want to use a GitHub webhook:
resource "aws_codepipeline_webhook" "my_webhook" {
name = "MyGitHubWebhook"
authentication {
type = "GITHUB_HMAC"}
target_action = "Source"
target_pipeline = aws_codepipeline.my_pipeline.name
filter {
json_path = "$.ref"
match_equals = "refs/heads/main" # Adjust to your branch
}
}
Section 2.2: Configuring the CodeBuild Stage
Define the CodeBuild project:
resource "aws_codebuild_project" "my_codebuild" {
name = "MyCodeBuildProject"
description = "My CodeBuild project"
build_timeout = "60"
service_role = aws_iam_role.codepipeline_role.arn
environment {
compute_type = "BUILD_GENERAL1_SMALL"
image = "aws/codebuild/amazonlinux2-x86_64-standard:4.0"
type = "LINUX_CONTAINER"
image_pull_credentials_type = "CODEBUILD"
}
source {
type = "CODEPIPELINE"
buildspec = "buildspec.yml" # Specify your buildspec file
}
}
The second video, "AWS Deployment with Terraform and CodePipeline: Step-by-Step Guide," walks you through the deployment process within your pipeline.
Section 2.3: Testing with Selenium
For the Selenium testing stage, create another CodeBuild project:
resource "aws_codebuild_project" "selenium_test" {
name = "SeleniumTestProject"
description = "My Selenium test project"
build_timeout = "60"
service_role = aws_iam_role.codepipeline_role.arn
environment {
compute_type = "BUILD_GENERAL1_SMALL"
image = "aws/codebuild/amazonlinux2-x86_64-standard:4.0"
type = "LINUX_CONTAINER"
image_pull_credentials_type = "CODEBUILD"
}
source {
type = "CODEPIPELINE"
buildspec = "selenium-buildspec.yml" # Specify your Selenium test buildspec file
}
}
The following sections will guide you on customizing the deployment stages and configuring your buildspec files effectively.
# Define the transition between stages and additional actions as needed.
This Terraform script outlines the creation of the CodePipeline stages and actions. You will need to tailor it to fit your specific requirements, especially for the Test (Selenium), Stage, and Production stages.
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