clickhouse

To investigate incidents using OpenTelemetry data in ClickHouse, query the otel_logs, otel_traces, and otel_metrics tables to analyze error patterns, latency percentiles, and exception details for affected services within a bounded time window.

Cross-signal correlation for SRE incident troubleshooting works by querying OTel logs, traces, and metrics together to identify correlated error patterns and latency spikes, running a scoped-to-triage-drill-measure-correlate analysis path to pinpoint root causes.

Yes, you need ClickHouse read-only access to query OpenTelemetry logs and traces. The investigation requires strict table and column usage, including correct handling for timestamps and service names, with bounded queries using LIMIT and time filters.

The best way to identify root causes from OTel observability data is to use an early-exit workflow that stops after evidence is sufficient, producing conclusions that reference specific query outputs like exception stack traces and correlated metrics.

Yes, you can query latency percentiles and exception stack traces for specific services in ClickHouse by targeting the supported OTel tables with bounded time filters, analyzing cross-signal correlations to measure service performance during incidents.