Cluster Agent

Auto-scales your Spark clusters in real time using enriched Spark logs served through the Spark MCP server, right-sizing resources to match workload demand and cutting infrastructure costs by up to 50%.

Works on any Spark platform: Databricks, EMR, Dataproc, Fabric, and open-source Spark.

What you get

Real-time right-sizing

Continuously matches executor and cluster resources to actual workload demand using your enriched Spark logs.

Up to 50% lower cost

Eliminates over-provisioning and idle capacity, cutting infrastructure spend without sacrificing runtime.

Powered by the Spark MCP server

Decisions are driven by real production context served through the Spark MCP server, not static heuristics.

No manual tuning

Stop hand-tuning executor counts and memory. The agent adapts as your workloads change.

Enriched Spark LogsSpark MCP ServerAuto Right-Size

Stop over-paying for idle Spark capacity

The Cluster Agent reads your enriched Spark logs through the Spark MCP server and right-sizes every cluster in real time, cutting infrastructure costs by up to 50%.