· ai-devtools
ControlTheory Adds Traces and Metrics to AI Platform for Analyzing Telemetry Data
ControlTheory today at the KubeCon + CloudNativeCon North America 2026 conference added support for metrics and traces to a platform that analyzes telemetry data at the point where it is collected.
Company CEO Bob Quillin said version 2.0 of the Dstl8 platform is now able to analyze logs, traces and metrics in a way that reduces the total cost of observability. Support for traces enables the Dstl8 platform to detect application performance problems, slow endpoints, rising error rates, and new request paths, down to specific lines of code. Metrics make it possible to, for example, forecast when a disk will fill or when a CPU will hit its limit. Based on OpenTelemetry software for collecting telemetry data that is being advanced under the auspices of the Cloud Native Computing Foundation (CNCF), the platform makes use of a small language model (SLM) deployed on the collector to identify which telemetry signal may warrant further investigation, said Quillin.
