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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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Switching Career Top Skills for Mainframe Programmers

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Read my part-1 post. Secondly, the programmers who are working on the mainframe have very good business knowledge. 

People who have the following skills are a valuable asset to any organization. Mainframe programmers if they learn other skills and try for new jobs they can earn more money.

Programmer Roles.

A programmer who can do analysis, create database structures, write clean code, create testing structures, and clearly communicate all that has been done is a very valuable asset.

Background of Mainframe.

The mainframe was leading in the market since 1950. All the big companies in the world are running their business in mainframes. 

Yes, many American universities now teaching mainframe technology in their education curriculum, since in the future possibility is there for mainframe skill shortage.

Skills You Need to Switch Career.

  1. It may become more important for IT professionals to gain experience working with analytics technology, as research firm Gartner predicted a surge in demand in this area in the next two years. According to CIO contributor Hamish Barwick, the big data trend alone is expected to create 4.4 million jobs worldwide.
  2. Analysts warned that only a third of those jobs are likely to be filled due to difficulties in recruiting analytics talent.
  3. An opportunity for every IT Professional: "Dark data is the data being collected, but going unused despite its value and leading organizations of the future will be distinguished by the quality of their predictive algorithms.

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