Build Custom Container Plugin using Go SDK
Digital.ai Release brings in the new integration SDK experience for you to run tasks as containers, using any language or third-party library.
Digital.ai Release brings in the new integration SDK experience for you to run tasks as containers, using any language or third-party library.
Digital.ai Release brings in the new integration SDK experience for you to run tasks as containers, using any language or third-party library.
The configuration parameters for Release Runners are set or overridden using the configuration files, environment variables, or command line switches.
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When the Release Runner is registered on the Release server, the readiness state of the Runner is healthy, and allows it to receive tasks or scripts for execution.
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This topics describes the lifecycle, control commands, and the different states of a Release Runner, with regards to the availability of the Release server.
Release Runners are introduced with Digital.ai Release 23.1 to efficiently and effectively manage the execution of container-based tasks within a Kubernetes cluster. These isolate the task and script execution process and provides greater stability and scalability for executing tasks.
Install Remote Runners using XL Kube
For Release Runner, to use TLS communication with Release, the configuration settings for the truststore must be set.
In this article, you will learn how to set up a custom image registry to install or upgrade Release. A custom image registry can either be public (not password protected) or private (password protected).
The logging feature in Release Runner is the best solution to troubleshoot and check for the state of runner lifecycle or the state of execution.
Before You Begin
Before You Begin
Before You Begin