2025
State of observability & telemetry report
Our survey of DevOps leaders in the US and Europe uncovered trends shaping observability in 2025 and beyond, from how little telemetry data is actually used to why AI adoption of telemetry optimization is accelerating.
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A glimpse of what’s inside
Most telemetry data is never used
On average, only 13% of collected telemetry is actively used for monitoring, alerting, or troubleshooting.
A full 84% of companies use less than a quarter of the data they collect, paying to store and process irrelevant signals that inflate their observability bills.
Estimated percentage of collected telemetry actively used for monitoring, Altering, or investigation
Logs are the biggest cost driver
70% of respondents said high log ingestion and indexing are the top contributors to soaring observability spend. Other major factors include excessive trace volumes (50%), metric retention costs (35%), and paying for redundant or unused telemetry data (32%).
Primary Contributors to High Observability Spend
DevOps must chase engineering
On average, only 13% of collected telemetry is actively used for monitoring, alerting, or troubleshooting.
Nearly half of the respondents (47%) said telemetry optimization requires joint effort between DevOps and developers. While DevOps typically owns the problem, they depend on engineering to deliver the fixes, contributing to slow resolution and bottlenecks.
Responsible Roles for Telemetry Data Optimization
AI is top of mind for optimization
Demand for AI telemetry optimization is on the rise, with mid-market and enterprise teams increasingly prioritizing AI-driven solutions to manage telemetry and observability challenges.
71% of respondents are interested in or actively looking for solutions.
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- What observability tools are being used
- What are the top priorities in 2025
- How much is spent on observability
- Who owns the budgeting decisions
- Optimization strategies being used
And much more.
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