Request scoped temporary cloud access
Start a credential request when needed and have Notis report the short-lived access result Databricks returns.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Generate Temporary Service Credential
Generates short-lived credentials from a service credential for cloud access.
Why this helps
Getting temporary service access can involve enough separate steps to lose momentum on the task that needs it.
- Start a temporary credential request from an HTTP call.
- Keep the returned outcome with the automation run report.
- Use scoped, short-lived access when the underlying service credential permits it.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Databricks once in the Notis portal.
- 2Create an automation and tell Notis which service credential to use and how to report the returned result.
- 3Pick a webhook trigger and choose where run reports should go.
- 4Test with one authorized service credential and review the outcome.
Questions about this workflow
Who can generate the temporary credential?
The caller must be a metastore admin or have ACCESS privilege on the service credential.
Is the credential long lived?
Databricks describes the generated credentials as short-lived and scoped.
Will Notis save the credential for later?
The workflow reports the action result. Avoid putting credential secrets in reports or prompts.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Databricks. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Databricks actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Add Member to Security Group
Adds a user or group to a Databricks security group.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Delete Custom LLM Agent
Irreversibly deletes a custom LLM agent and all its associated data.
Create Databricks App
Creates a Databricks app in the workspace.
Delete Databricks App
Deletes a Databricks app and its associated service principal.
Deploy Databricks App
Deploys an app from workspace source code and provisions its compute resources.
Get Databricks App Details
Retrieves an app’s configuration, deployment status, resources, and metadata.
Get Databricks App Permission Levels
Lists the permission levels available for an app.
Get Databricks App Permissions
Retrieves who can access an app and their permission levels.
Connect any two apps with Notis in the middle.
Ai ml api and Databricks, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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