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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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Infosys Looking for New Opportunities in Cutting Edge Software

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Analytical skills
Analytical skills
"I want us to be there in the great problems that are emerging around artificial intelligence techniques, deep data science and big data techniques, analytics and so on.

New Opportunities


Finding new energy sources, digital oil fields. This is the big thing in the minds of people in the oil and gas industry," Sikka said.

Vishal Sikka also told that Infosys could build a computer like IBM's Watson from scratch. Watson is an artificially intelligent computer system that can answer questions posed in normal language and can be used to help make decisions.

Watson Power


In January this year, IBM announced that it would create a business unit around Watson. IBM CEO Virginia Rometty has said she wants Watson to be a $10 billion business.

Read more here.

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