AutoObserve
Investigate

Evidence

How AutoObserve gathers, qualifies, and presents inspectable production evidence.

Docs v1.0Updated Supported

When should I use this?

  • You need to understand what counts as evidence before trusting an investigation conclusion.
  • You are connecting telemetry and want evidence quality to support strong investigations.
  • You want to inspect the sources behind a claim instead of accepting an AI summary.

Requirements

  • Metrics, logs, and traces connected via OpenTelemetryRequired
  • Consistent resource identity (service.name, k8s.* attributes)Required
  • Deployment or change signals when availableOptional

Steps

1. Know what evidence includes

AutoObserve correlates multiple signal types into evidence cards:

TypeExamples
MetricsLatency spikes, error rates, saturation
LogsNew error signatures, stack traces
TracesFailed spans, latency propagation
ChangesDeployments, config changes, rollouts
TopologyDependency paths, blast radius
RuntimePod restarts, OOMKills, scheduling events

2. Inspect every claim

Open any evidence card to see the observation, source query, timestamp, and correlation strength. AI answers without inspectable evidence are not the product model.

3. Understand evidence quality

Evidence is rated by coverage and correlation — weak, moderate, strong, or complete. Partial telemetry reduces confidence instead of disappearing silently.

Optional deep dive: Explore evidence cards on the Demo investigation or Platform investigation pages.

Did it work?

Troubleshooting

What's happening?

Problem

Investigation evidence has low correlation or partial coverage.

Symptoms

  • Single signal type only
  • Missing k8s or deploy context

Likely causes

  • Incomplete OpenTelemetry pipelines
  • Weak resource identity

Resolution

Connect metrics, logs, and traces. Align resource attributes across pipelines. See [OpenTelemetry identity](/docs/connect/opentelemetry#resource-attributes).

Verify fix

Evidence cards include multiple signal types with consistent service identity.

Problem

Expected evidence type does not appear in an investigation.

Symptoms

  • No trace evidence despite trace pipeline
  • Missing deploy correlation

Likely causes

  • Pipeline omits signal type
  • Change source not connected

Resolution

Verify all three signal pipelines export to AutoObserve and cluster change signals are available.

Verify fix

Missing evidence types appear or are explicitly marked unavailable.

Continue

Timeline

Docs v1.0 · Updated ReviewedChangelog

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