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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

What is IBM InfoSphere DataStage

It integrates data across multiple systems using a high-performance parallel framework, and it supports extended metadata management and enterprise connectivity. IBM InfoSphere Powerful, scalable ETL platform—supports the collection, integration, and transformation of large volumes of data, with data structures ranging from simple to complex. Support for big data and Hadoop—enables you to directly access big data on a distributed file system, and helps clients more efficiently leverage new data sources by providing JSON support and a new JDBC connector.  Near real-time data integration—as well as connectivity between data sources and applications.  Workload and business rules management—helps you optimize hardware utilization and prioritize mission-critical tasks.  Ease of use—helps improve speed, flexibility, and effectiveness to build, deploy, update and manage your data integration infrastructure.  Rich support for DB2Z and DB2 for z/OS—including data load optimization f