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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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Top Valuable Sources to Learn Predictive Analytics After Your Degree

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The word predictive analytics is to increase competitive advantage and at the same time to suggest the best value products to end customers.

Data analytics
Data analytics

Why you need to go for predictive analytics

The reasons are

  • Growing data
  • Cheaper computers and servers
  • Easy to use software
  • Tough economic conditions

The predictive analytics helps in the following areas:

  • Detecting fraud
  • Improve marketing campaigns
  • Reduce risk
  • Improving operations
Growing data analytics creating many job opportunities.

Where You Need to Learn

  1. Do PG or post graduation in data analytics
  2. Attend Class Room Coachings

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