Give analytics features a ready home as they are proposed
When a feature enters review, its data product environment can start taking shape too. Notis can create the Databricks app and report back.
Trigger
New Pull Request Created
Triggers when a new pull request is created in GitHub, matching the optional configured filters. Emits an event for each newly created pull request. Supports filtering by repository, owner/organisation, author, assignee, label, state, base branch, head branch, and draft status.
Action
Create Databricks App
Tool to create a new Databricks app with specified configuration. Use when you need to create apps hosted on Databricks serverless platform to deploy secure data and AI applications. The app name must be unique within the workspace, contain only lowercase alphanumeric characters and hyphens, and cannot be changed after creation.
Why this helps
Provisioning gets postponed because it is separate from the pull request and requires a second round of context switching.
- Removes a setup task from the founder's queue.
- Keeps engineering and analytics work aligned.
- Creates a repeatable path for feature environments.
Setup
Build it in a few focused steps.
- 1Connect GitHub and Databricks to Notis once through the portal.
- 2Create an automation in Automations or tell Notis the workflow in plain language.
- 3Write the instruction: when a qualifying GitHub pull request is opened, create the corresponding Databricks app using the project context and report the app name.
- 4Select the new pull request trigger, choose a channel for reports, and test with one real pull request.
Questions about this workflow
How does Notis know which pull requests qualify?
Describe the repository, labels, branch, or wording in the instruction and use the trigger options available in GitHub.
Is the app deployed automatically?
This workflow creates the app. Deployment can be handled by a separate automation after the source is ready.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link GitHub to Databricks. A trigger fires from one place; an action lands in another.
GitHub triggers
Databricks actions
New Workflow Artifact Created
Triggers when a new workflow artifact is created in a GitHub repository. Monitors for newly created GitHub Actions workflow artifacts. Optionally filters by artifact name to restrict monitoring to specific artifacts.
Add Member to Security Group
Tool to add a user or group as a member to a Databricks security group. Use when you need to grant group membership for access control.
Branch Changed
Triggers when a GitHub branch changes. Monitors a specific branch for: - New commits pushed (head commit SHA changes) - Protection status toggled (branch becomes protected or unprotected) - Protection settings changed, including: required status checks and their enforcement level, admin enforcement, required pull request reviews (dismiss stale reviews, code owner reviews, approving review count, last push approval), required linear history, force push allowance, deletion allowance, conversation resolution, branch locking, and fork syncing.
Delete Custom LLM Agent
Tool to delete a Custom LLM agent created through Agent Bricks. Use when you need to remove a custom LLM and all associated data. This operation is irreversible and deletes all data including temporary transformations, model checkpoints, and internal metadata.
New Branch Created
Triggers when a new branch is created in a GitHub repository. Detects newly created branches. Deleted branches do not fire events.
Create Databricks App
Tool to create a new Databricks app with specified configuration. Use when you need to create apps hosted on Databricks serverless platform to deploy secure data and AI applications. The app name must be unique within the workspace, contain only lowercase alphanumeric characters and hyphens, and cannot be changed after creation.
Check Run Status / Conclusion Changed
Triggers when a specific GitHub check run changes its status or conclusion. Monitors a single check run for changes to: status (queued, in_progress, completed, etc.), conclusion (success, failure, neutral, cancelled, skipped, timed_out, action_required), started_at, and completed_at.
Delete Databricks App
Tool to delete a Databricks app from the workspace. Use when you need to remove an app and its associated service principal. When an app is deleted, Databricks automatically deletes the provisioned service principal.
Check Suite Status / Conclusion Changed
Triggers when a GitHub check suite changes its status or conclusion for a given ref. Monitors all check suites associated with a git reference (branch, tag, or commit SHA) for changes to status (queued, in_progress, completed, etc.) and conclusion (success, failure, neutral, cancelled, skipped, timed_out, action_required, startup_failure, stale). Optionally filters by GitHub App ID.
Deploy Databricks App
Tool to create a deployment for a Databricks app. Use when you need to deploy an app with source code from a workspace path. The deployment process provisions compute resources and uploads the source code. Deployments can be in states: IN_PROGRESS, SUCCEEDED, FAILED, or CANCELLED.
New Code Scanning Alert Created
Triggers when a new code scanning alert is created in a repository. Fires an event for each newly created code scanning alert detected in the configured repository. Alerts can be filtered by Git reference, scanning tool, state, and severity. The payload includes the alert number, rule details, tool information, state, severity, and the location of the most recent instance.
Get Databricks App Details
Tool to retrieve details about a specific Databricks app by name. Use when you need to get comprehensive information about an app including configuration, deployment status, compute resources, and metadata.
New Repository Collaborator Added
Triggers when a new collaborator is added to a GitHub repository. Monitors the full list of collaborators on a repository and fires an event for each newly added collaborator. The payload includes the collaborator's GitHub username, account ID, profile URL, avatar URL, permission flags (pull, triage, push, maintain, admin), and assigned role name.
Get Databricks App Permission Levels
Tool to retrieve available permission levels for a Databricks app. Use when you need to understand what permission levels can be assigned to users or groups for a specific app. Returns permission levels like CAN_USE and CAN_MANAGE with their descriptions.
Commit Event
Triggered when a new commit is pushed to a repository.
Get Databricks App Permissions
Tool to retrieve permissions for a Databricks app. Use when you need to check who has access to an app and their permission levels. Returns the access control list including inherited permissions from parent or root objects.
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When this happens · Trigger
Do this · Action
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