Sawmills

Sawmills develops an agentic telemetry management platform that continuously coordinates the creation, optimization, and ongoing management of telemetry data to reduce observability costs, improve data quality, and protect observability uptime. The platform, powered by its AI agent called Mills, analyzes logs and metrics in real-time to identify data that drives up cost without adding value, including verbose logging, duplicate entries, and metrics with unused labels. Mills applies optimizations through sampling, aggregating, transforming, and routing data before it reaches observability platforms like Datadog, Splunk, or New Relic, achieving 60-80% reduction in observability spend for typical teams. The platform converts low-quality telemetry into structured, actionable data by detecting missing or duplicate attributes, correcting formats, and applying enrichment, redaction, and other transformations automatically. Mills also safeguards observability uptime by detecting high-cardinality metrics, ingestion spikes, and runaway data before they crash observability systems. The platform governs telemetry from planning to production: in code, Mills auto-instruments services and guides developers on best practices in the IDE; in CI, it validates telemetry consistency and completeness at every deploy; in production, it identifies noise and gaps and feeds optimizations back into the next cycle. DevOps teams use Mills to empower developers with self-service telemetry tuning in Slack or Teams while maintaining guardrails and control. Built on the OpenTelemetry Collector, Sawmills supports any source or destination compatible with OTel standards. Customers report 63% cost reduction and 93% ingest reduction.

IT Operations > ITOM > Enterprise Observability,

Business Intelligence > Data Preparation > Data Observability,

Big Data Analytics > Data Preparation > Data Observability,

AI Infrastructure > Enabling Technologies > Software > Data Pipelines