How do I implement canary releases for AWS for DevOps?

Canary releases are a powerful technique for deploying software updates gradually and reducing the risk of introducing errors into production systems. In AWS DevOps, you can implement canary releases using services like AWS CodeDeploy, Elastic Load Balancing, and Amazon ECS. Below is an example of how to achieve this.

// Example of setting up a canary release with AWS CodeDeploy and Elastic Load Balancing // Define your application and deployment group in AWS CodeDeploy $appName = "MyApplication"; $deploymentGroupName = "MyDeploymentGroup"; // Create a canary deployment configuration $deploymentConfigName = "CodeDeployDefault.OneAtATime"; // Deployment will be one instance at a time // Deploy the new application version $result = $codeDeployClient->createDeployment([ 'applicationName' => $appName, 'deploymentGroupName' => $deploymentGroupName, 'revision' => [ 'revisionType' => 'S3', 's3' => [ 'bucket' => 'my-bucket', 'key' => 'my-app.zip', 'bundleType' => 'zip', ], ], 'deploymentConfigName' => $deploymentConfigName, ]); // Monitor the deployment // Implement a mechanism to monitor performance and rollback if necessary

AWS DevOps Canary Releases CodeDeploy Deployment Strategy Elastic Load Balancing

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?