BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Aug 31·5 min read
Autoscaling Lakebase Postgres
TL;DR
Lakebase Postgres introduces autoscaling, eliminating the need for pre-choosing database instance sizes. This innovation allows for dynamic resizing based on real-time workload demands, optimizing resource usage.
✦ Why It Matters
Consider implementing Lakebase Postgres to optimize your database resource management today.
Key Takeaways
- Implement Lakebase Postgres for dynamic resource allocation.
- Utilize the modified HyperLogLog for efficient working set estimation.
- Monitor CPU, memory, and cache metrics for optimal performance.
- Reduce costs by avoiding over-provisioning of database resources.
How It Works
Lakebase Postgres separates compute and storage, allowing for in-place VM resizing without interrupting database operations. The autoscaling algorithm tracks CPU, memory, and working set metrics to determine the optimal compute size.
It uses a modified HyperLogLog to estimate the working set, storing timestamps to ensure timely adjustments based on current workload demands.