# SigNoz Telemetry Profiler: Cutting Storage by 95%

> Source: <https://promptcube3.com/en/threads/3566/>
> Published: 2026-07-26 05:48:11+00:00

# SigNoz Telemetry Profiler: Cutting Storage by 95%

The results were honestly embarrassing. By replaying identical loads, I watched span storage plummet from 13,404 down to 672. That is a 95% reduction in storage overhead without losing a single one of the 31 injected error traces. It turns out the database was just hoarding useless data like a digital packrat.

If you're trying to optimize your AI workflow or LLM agent monitoring, you know that telemetry can explode faster than your actual application logs. This is basically a real-world deep dive into why "collect everything" is a terrible strategy for your wallet.

For those wanting to implement a similar cost-reduction deployment:

1. **Identify High-Volume Spans:** Find the endpoints that trigger the most telemetry but provide the least diagnostic value.

2. **Sample Aggressively:** Keep 100% of errors but slash the sampling rate for "200 OK" health checks.

3. **Profile and Replay:** Use a tool to replay traffic and verify that your storage footprint drops while your visibility into crashes stays intact.

It's a practical tutorial in common sense: stop paying for data that you'll never actually look at during an outage.

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