Are you drowning in telemetry data — and the costs that come with it? Modern application environments generate massive amounts of data, but more data doesn’t always mean better insights. In fact, many organizations spend around 30% of their IT operations budget on observability, yet 73% still struggle with slow incident resolution and limited value from their data.

In our webinar, Cut Costs, Not Insights: A Practical Guide to Telemetry Data Optimization, we cover how Mezmo helps you regain control. Learn how to filter out the noise, store only what matters, and reduce costs without losing the insights you need to keep systems running smoothly.

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Key Takeaways

1. The cost of observability is rising. For modern systems, observability comes at a price. Organizations already spend around 30% of their IT operations budget on observability. There is pressure to invest even more in the monitoring infrastructure.
2. But the value curve is flattening. As data volume and associated costs continue to go up, most organizations find it hard to get full value from their telemetry data. Despite increased data availability, 73% of organizations still face delays in resolving outages and production issues.
3. Not all telemetry data is created equal. About 20-30% of data is always needed for monitoring system health and performance. Another 60% data is temporal, required for troubleshooting, audits, root cause analysis, or capacity planning. This data is retrieved only when necessary. The remaining extraneous data is often stored but rarely used. With strategic data profiling, you can categorize data into these three types, store efficiently, and bring the value curve up.
4. Mezmo's Telemetry Pipeline cuts costs, not insights: Filter, transform, and store data more efficiently, reducing unnecessary storage and processing costs.

Watch the full webinar recording here.

If you have any further questions, get in touch with us here.