#Shut in run time how to
#Shut in run time install

We’ll do this using the AWS Management Console. Now that we prepared our build step, we are ready to create our actual pipeline. Press the Shift + F10 hotkey (or right-click the desktop and select Show more options) to bring up the classic context menu. Now check out the new options for shutting down and restarting your desktop or laptop on the context menu. Click OK on the Registry Editor dialog box. In the artifacts section we specify the artifacts that should be available as the output of our build step. Select Yes on the confirmation prompt to continue.

We do this because AWS SAM is not available by default in the CodeBuild runtime and the SAM command is actually just an alias for the CloudFormation command. This command will upload the artifacts to the S3 bucket we specified and output a new template file called outputTemplate.yaml.Īs you can see, we are using the command ‘aws cloudformation package’ instead of the ‘sam package’ command we used when packaging from our local machine. aws cloudformation package -template-file template.yaml -s3-bucket auto-aws-db-shutdown-deployment-artifacts -output-template-file outputTemplate.yaml Now i want to run the executable on a Server under the system user (the matlab runtime is installed on the machine). For this phase we need to specify the wanted runtime version and the command to be executed.

#Shut in run time install

In our case, the buildspec file is rather simple as we only need to define an install phase. This file is a collection of commands and related settings that CodeBuild uses to build a project (you can find more info here). Enter a name for the shortcut (for example, 'Shutdown 1. In the path field type 'shutdown -s -t XXXX' and click Next. We add a buildspec.yaml file to the root folder of the project. Right-click on the desktop, hover over New and select Shortcut in the side menu. Source In this step the latest version of our source code will be fetched from our repository and uploaded to an S3 bucket.īuild During the build step we will use this uploaded source code and automate our manual packaging step using a CodeBuild project.ĭeploy In the deploy step we will use CloudFormation in order to create and execute the changeset that will eventually build the entire infrastructure. We will configure AWS CodePipeline to execute the package and deploy steps automatically on every update of our code repository. We’ll take the source code of our previous project as a base to start from, but you can apply the same logic for any Lambda Functions that have been created using an AWS SAM or an AWS CloudFormation template. To make our lives easier we will now setup a CI/CD pipeline that automatically executes these steps every time we make a code change.

#Shut in run time how to

In my previous post I showed you how to set up a fully automated way to shut down RDS instances using Lambda functions that were built with AWS SAM.īack then we packaged and deployed these functions from our local machine.