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After you create an Astro Deployment, you can modify its settings using the Astro UI and Astro CLI to tailor its performance. There are two categories of Deployment configurations: Deployment details and resources.
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You can also view more details about your Deployment including:

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Deployment details

Deployment details are high level settings that define how users can interact with the Deployment. These settings include:
  • Deployment names and descriptions.
  • Deployment contact emails.
  • Rules for what types of deploys are allowed.
  • Your Deployment’s current Workspace.

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Deployment resources

Deployment resources let you customize the resource use, infrastructure, and performance of your Deployment. Use these settings to optimize Deployment processing, optimize compute resources and cost, and enable advanced use cases with intensive workloads. The following configuration options are available for customizing your resource use:
  • Change the Deployment executor.
  • Configure Kubernetes Pod resources.
  • Change Scheduler and Dag processor resources.
  • Enforce CI/CD Deploys.
  • Enable High Availability.
  • Customize your Airflow environment using environment variables.
For advanced Deployment resource configurations, see Manage Airflow executors on Astro and Configure worker queues.

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Configure Otto investigation guidance

Otto investigation guidance is custom text you provide to tailor Otto investigations for a Deployment. By default, a Deployment inherits the Otto investigation guidance set at the Workspace level. You can override the inherited guidance with Deployment-specific instructions.
  1. In the Astro UI, select a Deployment.
  2. Click the AI Agents tab, then click Edit.
  3. Enter up to 10,000 characters of markdown guidance, then click Save.
Deployment-level guidance takes precedence over Workspace-level guidance for investigations on this Deployment.
CLIThese documents focuses on configuring Deployments through the Astro UI. To configure Deployments as code using the Astro CLI, see Manage Deployments as code.

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See also