databricks-lakebase-autoscale

Configure Lakebase Autoscaling compute, branching, and instant restore for PostgreSQL-backed apps.

27|9|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/datasciencemonkey/coding-agents-databricks-apps --skill databricks-lakebase-autoscale
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-lakebase-autoscale
Source: https://github.com/datasciencemonkey/coding-agents-databricks-apps/tree/main/.claude/skills/databricks-lakebase-autoscale
Command: npx skills add https://github.com/datasciencemonkey/coding-agents-databricks-apps --skill databricks-lakebase-autoscale

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Lakebase Autoscaling patterns solve the complexity of running PostgreSQL-backed apps with scalable compute, branching workflows, and instant restore.

Core Features & Use Cases

  • Autoscaling compute with fine-grained 0.5-112 CU sizing, scale-to-zero, and instant restore
  • Git-like branching for dev/test environments with expiration controls
  • Safe, token-based authentication patterns and Delta Lake to PostgreSQL reverse-ETL workflows

Quick Start

Configure a Lakebase Autoscaling project and create a development branch with an autoscaled compute endpoint to begin using Lakebase.

Frequently Asked Questions about databricks-lakebase-autoscale

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does Lakebase autoscaling work for PostgreSQL compute?

Lakebase autoscaling manages PostgreSQL compute by sizing capacity between 0.5 and 112 compute units, supporting scale-to-zero and instant restore windows to optimize resource usage.

Can I create isolated dev and test environments using PostgreSQL branching?

Yes, you can use Lakebase git-like branching to create isolated PostgreSQL development and test environments with TTL expiration controls for automated cleanup.

What is the best way to run reverse ETL from Delta Lake to PostgreSQL?

The best way to execute reverse ETL from Delta Lake to PostgreSQL is using Lakebase patterns with token-based authentication via the Databricks SDK across AWS and Azure regions.

Do I need the Databricks SDK for token-based authentication with Lakebase?

Yes, the Databricks SDK is required to implement token-based authentication workflows when configuring Lakebase autoscaling endpoints and managing PostgreSQL persistent state.

Does Lakebase support scale-to-zero for PostgreSQL applications across AWS and Azure?

Yes, Lakebase supports scale-to-zero for PostgreSQL-backed applications with persistent state across both AWS and Azure regions, enabling instant restore when compute is needed again.