AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute platforms, including Amazon EC2 instances, AWS Lambda functions, and on-premises servers.
CodeDeploy coordinates application deployments by pushing code changes to instances, managing deployment lifecycle events, and rolling back deployments if necessary.
CodeDeploy supports various deployment strategies, including Blue-Green, In-Place, and Canary. Each strategy determines how new code versions are rolled out to instances.
In Blue-Green deployment, two identical environments (blue and green) are set up. New code is deployed to the green environment, and after successful testing, traffic is switched from the blue to the green environment.
If a deployment fails or triggers alarms, CodeDeploy can automatically roll back to the previous version of the application, minimizing downtime and impact.
Yes, CodeDeploy can be used to deploy AWS Lambda functions. It facilitates smooth updates to Lambda function code without service interruption.
An Application Revision is a version of your application code that is deployed using CodeDeploy. It can include application files, configuration files, and scripts necessary for deployment.
CodeDeploy can be integrated into your CI/CD pipeline using services like AWS CodePipeline. After successful builds, the pipeline triggers CodeDeploy to deploy the new version.
A Deployment Group is a set of instances or Lambda functions targeted for deployment. It defines where the application should be deployed and how the deployment should be executed.
Zero downtime can be achieved by using strategies like Blue-Green deployments or Canary deployments. These strategies allow you to gradually shift traffic to the new version while testing its stability.
Deployment configuration specifies parameters such as deployment style, traffic routing, and the order of deployment lifecycle events. It allows you to fine-tune deployment behavior.
Database schema changes can be managed using pre- and post-deployment scripts. These scripts ensure that the database is properly updated before and after deployment.
You might use the Canary strategy when you want to gradually expose a new version to a small portion of your users for testing before rolling it out to the entire user base.
CodeDeploy can automatically distribute the new version of the application across instances with varying capacities by taking into account the deployment configuration and specified traffic weights.
Hooks are scripts that run at various points in the deployment lifecycle. They allow you to perform custom actions, such as validating deployments or running tests, at specific stages.
CodeDeploy uses an agent on each instance that manages deployment lifecycle events and ensures consistent application deployments.
17. What is the difference between an EC2/On-Premises deployment and a Lambda deployment in CodeDeploy?
An EC2/On-Premises deployment involves deploying code to instances, while a Lambda deployment deploys code to Lambda functions. Both utilize CodeDeploy's deployment capabilities.
You can monitor deployments using the AWS Management Console, AWS CLI, or AWS SDKs. CodeDeploy provides detailed logs and metrics to track the status and progress of deployments.
Yes, CodeDeploy can deploy applications to multiple regions. However, each region requires its own deployment configuration and setup.
The CodeDeploy agent is responsible for executing deployment instructions on instances. It communicates with the CodeDeploy service and manages deployment lifecycle events.