The course is part of this learning path
This course provides detail on the AWS Developer Tool services relevant to the Developer - Associate exam.
- Introduction to AWS CodeCommit and how it can be used to manage your source code
- Learn where AWS CodeCommit sits in a CI/CD setup
- Understand when and where to use CodeCommit within your own development solutions
- Introduce you to AWS CodeBuild and how it can be used to compile, build, and test your source code
- Learn where AWS CodeBuild sits in a CI/CD setup
- Familiarize yourself with the AWS CodeBuild service and ensure you know when and where to use it within your own software projects
- Understand what AWS CodeDeploy is and when it should be used
- Learn from a demonstration where we use AWS CodeDeploy to deploy our web portal project onto EC2 infrastructure.
- Learn the fundamentals of AWS CodePipeline
- Understand where CodePipeline the service sits in a CI/CD setup
- learn how you can use AWS CodePipeline to orchestrate, build and deploy a workflow for a web portal project
- Understand the key aspects of AWS CodeStar, its benefits, and its use cases
Provision a full CI/CD workflow using AWS CodeStar
- Introduce the AWS X-Ray service and the functionality that it provides.
- Explain the functions of the AWS X-Ray service and how to use AWS X-Ray with other AWS services.
- Demonstrate how to use the AWS X-Ray Console - highlighting key areas such as the Service Map and Tracing windows
- Demonstrate how to implement a Docker-based Node.js application using the AWS X-ray SDK.
- [Instructor] And now, next demonstration, we'll use the CodeDeploy service to deploy our build artifacts that we created in our previous demonstration. Before we create our CodeDeploy application, we'll first spin up an EC2 instance, which will be the endpoint to which we deploy to. We'll use the Amazon Linux AMI, and we'll use a t2.micro instance. We'll deploy it into a Network that has access to the Internet. This will be required to be able to download the CodeDeploy Agent. We'll create an IAM role for it. This will be required to give the EC2 instance access to the build artifacts stored in s3. Clicking the next button takes us to the permissions screen. Here, we'll create a custom policy. We'll click on the JSON tab, and we'll customize the policy by hand. We've got a pre-crafted one already, so we'll just paste this in. This policy gives us access to our catestbuild s3 bucket, as we can see here. So this is the bucket that holds our WebApp.zip artifact which was built using codebuild. So back within IAM, we'll edit the action just to give permissions to GetObject. This is sufficient to give the EC2 access rights to get the build artifact. So we'll give the policy a name, BuildBucketAccess, S3BuildBucketAccess. We'll click the Create policy button, and then finally, we'll attach the policy to our IAM role that we're creating for our EC2 instance. So clicking Refresh, we should be able to see the new policy, indeed we do, we select it, we attach it, and finally, we need to give our new role a name. In our case, we'll call it WepAppServerRole, and finally, we click the Create role button. Okay the role has been created. We go back into our EC2 console launch interface, refresh, select it. Under the Advanced Details section, we'll paste in our bootstrapping script to install the CodeDeploy Agent. Here you can see we're using bash to actually run the script. The first thing we do, is we change into the EC2 user home directory. We then use wget to a download of the CodeDeploy Agent, install rpm, and then we use yum to actually run the install. Okay, in the Storage section, we'll increase the volume size for the root directory. Next, for Tags, we're gonna give it a name tag with the value WebInstance. Clicking on Security Group, we'll configure a new security group with SSH and HTTP access. We'll give it a name. We'll call it WebInstanceSG. We then click on Review and Launch. Review the settings, and then click Launch, and we'll select an EC2 key pair. Okay, so that's launching the EC2 instance, and this will be the instance that we will use CodeDeploy to deploy to. So the first thing we'll do, is we'll grab the Public IP address, and we'll SSH into this instance. So jumping over to our terminal, we do ssh -v for verbose,
Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.
He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, GCP, Azure), Security, Kubernetes, and Machine Learning.
Jeremy holds professional certifications for AWS, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).