Cost Optimization Guide
Observability cost optimization without losing incident coverage
Most observability budgets are dominated by high-volume telemetry. Start with log volume to unlock immediate savings.
Why this problem exists
Telemetry defaults prioritize capture, not cost discipline.
Ownership is fragmented across platform, app, and security teams.
Real cost and impact
Unchecked telemetry growth can increase faster than user growth.
Log noise also reduces triage quality and slows incident response.
Solutions (including alternatives)
- Create a telemetry budget and enforce service-level emission limits.
- Filter and sample low-value logs before they hit expensive indexing layers.
- Use Datadog for actionable signal and S3 for full retention.
How LogTrim solves it
LogTrim provides centralized controls for filtering, sampling, and routing in one data plane.
Teams reduce spend and improve signal quality at the same time.
Example scenario
A platform org started with noisy request logs, then extended policy to background job telemetry.
They reduced cost while improving dashboard clarity.
Reduce your costs with LogTrim
Start with high-noise categories, keep high-signal logs in Datadog, and archive full retention in S3.