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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
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Load Balancers in AWS: Choosing the Right Option for Your Application

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The load balancer's purpose is to balance the incoming traffic. It allocates the incoming traffic to the available healthy servers. Here are the top AWS load balancers.

AWS Load balancers


These are Application Load Balancer, Gateway Load Balancer, and Network Load Balancer.

  • Application Load Balancers
  • Gateway Load Balancers
  • Network Load Balancers
 


1. Application Load Balancers (ALB)

A Load balancer contains two parts - Listeners and Target groups. The listener then connects to a target group. The listener first checks the availability of connection according to the IP address and Port you did configure.




2. Gateway Load Balancers (GWLB)

A Gateway Load Balancer receives traffic from the source and sends the traffic to targets. It sends requests to multiple virtual appliances. It's the prime difference between ALB and GWLB.


3. Network Load Balancers (NLB)

A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. It takes routing decisions at the transport layer.


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