Agentic telemetry platform. Your data, perfectly in tune.

Sawmills uses AI to analyze your logs and metrics in real time, identifying data that drives up cost without adding value. That includes verbose logging, duplicate entries, and metrics with unused labels. The platform surfaces suggestions for reduction and lets you apply fixes with one click. DevOps and SRE teams can set rules that automatically drop or sample low-value data upstream, before it’s sent to observability platforms like Datadog, Splunk, or New Relic, so you’re not paying for ingestion you don’t need. Best practices for reducing telemetry costs start with this kind of pre-ingestion filtering.

Building and maintaining custom pipelines takes dedicated engineering time. Sawmills gives teams a no-code interface to configure routing, filtering, and aggregation without writing or maintaining custom code. It’s one of the best alternatives for companies that want pipeline-level control but don’t have the resources to build it from scratch. Compared to other pipeline tools and platforms, Sawmills is easy to deploy, requires minimal configuration, works across multiple destinations, and handles the complexity of multi-collector environments out of the box.

Mills is an agentic telemetry operator that continuously analyzes your telemetry flows, applies DevOps-defined policies, and makes real-time recommendations about what gets routed, filtered, enriched, or dropped. Teams typically see 60–80% reduction in observability spend, while data quality improves because what reaches your backend is consistent, correlated, and actionable. Mills isn't a copilot — it runs your pipelines autonomously, within guardrails your team controls, and works with the observability platforms you already use.

Yes. Sawmills includes telemetry resource allocation and source attribution, so you can see exactly which teams and services are producing what data and how much it costs. This makes it possible to set budgets per team, track spending over time, and hold departments accountable for their telemetry footprint. For large SaaS and enterprise companies, this kind of visibility is one of the best strategies for bringing observability costs under control without top-down mandates.

Most standard pipeline tools focus on routing and transformation. Sawmills goes further by using AI to detect optimization opportunities that manual rules miss, like redundant log patterns and underused metric labels that could be sampled without losing diagnostic value. The platform recommends specific actions (drop, sample, aggregate, route) and shows the projected cost reduction for each one, so teams can make informed decisions rather than guessing where to cut.

Sawmills supports logs and metrics. Traces are coming in the near future. Because it’s built on the OpenTelemetry Collector, it works with any source or destination that supports the OTel standard. That means you can manage your entire telemetry stack from one centralized platform, whether you’re sending data to Datadog, Splunk, Prometheus, Elastic, or a combination of monitoring backends. The platform supports OpenTelemetry standards natively, so it fits into any existing architecture.