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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces

Here is Sample Logic to get Random numbers in Bash

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Here's a bash script to generate a random number. You can use this logic to generate a random number, and it is useful for AWS engineers. Random number Script - Here's sample logic to get a random number RANDOM=$$ # Set the seed to the PID of the script UPPER_LIMIT=$1 RANDOM_NUMBER=$(($RANDOM % $UPPER_LIMIT + 1)) echo "$RANDOM_NUMBER" If you select UPPER_LIMIT as 100, then the result would be a pseudo-random number between 1 and 100. Her is the output after executing the script Related posts Structured Vs. Un-structured data