Adaptive Telemetry

Adaptive Telemetry optimizes which signals get stored and ensures that your teams only keep the most valuable telemetry.

Overview

Adaptive Telemetry is an intelligent filter at the front door of your observability platform designed to connect the cost of your telemetry to its intrinsic value.

By analyzing 100% of your incoming data, it makes a crucial distinction: it filters out the low-value, redundant noise while guaranteeing that every piece of telemetry worthy of your attention—every error, every high-latency event—is preserved.

This focus on signal over noise directly translates to a faster Mean Time to Resolution (MTTR), as your teams can immediately investigate critical issues without sifting through irrelevant data. The result is a more valuable, cost-effective observability practice where cost savings are a natural consequence of storing only the data you actually need to solve problems.

Adaptive Telemetry provides a suite of features, including Adaptive Metrics and Adaptive Logs. These features include usage-based recommendations, which help you lower costs without sacrificing the insights you need to keep your systems running smoothly.

Use intuitive user interfaces to review and apply optimizations and help your organization focus on the telemetry that actually delivers value.
Exempt certain telemetry data from optimization recommendations, retaining critical data.