What you would learn in AWS CodePipeline Step by Step course?
We invite you to learn how to create pipelines for CI/CD using AWS CodePipeline and automate deployments to EC2 and S3 from an experienced AWS-certified DevOps Engineer. You will be taught using practical examples and detailed explanations!
In this course, you'll be taught AWS CodePipeline step-by-step:
Start with the basics of AWS CodePipeline by creating a pipeline that connects two Amazon S3 buckets as the sources and deployment locations.
Use AWS CodeCommitwith AWS CodePipeline, and Git commands to start your pipelines. The first step is to start with AWS Code Commit repositories to host your source code.
Test and build your code in a controlled manner using the AWS CodeBuild during each pipeline's execution. Know the way Code Build works with AWS CodePipeline.
Integration of AWS CodeDeploy with AWS CodePipeline for deployment onto Amazon EC2 instances. Start with one instance, and move on to more instances using auto-scaling and load balancer. Additionally, you will learn about different AWS Code Deploy deployment types and configurations, like blue-green and in-place rolling.
Make use of AWS CloudFormation using AWS CodePipeline to build stacks and remove them automatically during every pipeline's execution. In addition, you will be taught how to set up manual approval actions and configure pipeline notifications for your pipelines.
Learn how to create and build your Docker image using AWS CodeBuild and AWS CodePipeline. Then, you can launch them on Amazon ECR and Docker Hub regularly. Set up the Docker containers onto Amazon ECS in continuous deploys using AWS Code Pipeline, which is a direct connection between AWS Code Pipeline with Amazon ECS.
Learn how to review your deployment and build logs for failures, with examples.
What can you expect to accomplish in the course?
You'll know the way AWS CodePipeline is used in greater detail.
It is possible to utilize AWS Code Pipeline with other AWS tools for developers to build your CI/CD pipelines AWS.
You can replace manual deployment procedures with automated processes to reduce human errors and limit failures during deployment.
You'll be able to implement one of the fundamental techniques of DevOps: Continuous Integration/ Continuous Deployment or Continuous Delivery in Your projects running on AWS.
- Create CI/CD pipelines using AWS CodePipeline, which will automate the deployment of your applications to Amazon EC2, ECS, and S3.
- Make use of AWS CodeCommit, CodeBuild or AWS CodeDeploy, and AWS CodePipeline.
- Learn how to deploy AWS CodeDeploy all-in-one roll-out and blue-green deployments that use EC2 automatic scaling and load-balanced.
- Create your Docker images using CodeBuild and then deploy the images to ECS as roll-out deployments using CodePipeline.
- Use AWS CloudFormation in conjunction with AWS CodePipeline to create and remove stacks during each run.
- Set up manual approval actions and pipeline notifications for your pipelines.
- Check out AWS CodBuild logs for building and AWS CodeDeploy deploy logs.
- Learn the way AWS CodePipeline operates in depth.
Download AWS CodePipeline Step by Step from below links NOW!