Root Cause Analysis

Use LightStep to create data-driven hypotheses and resolve issues fast.

Product Docs

Investigate Changes in Service Performance after Deployments

You can use LightStep not only to monitor your services after a deploy, but also to compare performance over specific time periods and then dig into details to find the differences that caused the issue.

Product Docs

Query Span Data

LightStep's Explorer view allows you to query all span data currently in the Satellites to see what's going on. You create Snapshots that are durably persisted, allowing you to view performance at a certain point in time and share that Snapshot with others. You can see real-time span data, filter and group that data, and drill down on common attributes that may be causing latency.

Product Docs

Find Correlated Areas of Latency

A standard method of identifying the root cause of a performance regression is to manually comb through traces and search for common system attributes associated with that regression. With Correlations, LightStep helps you find attributes correlated with latency automatically.

Learning Path

Resolve an Incident

Use LightStep to quickly create a hypothesis about the root cause of a performance incident.

Product Docs

Share Your Findings

You can share the URL from the different views in LightStep (Trace, Explorer, etc.), and users will be taken into LightStep to that view. If you integrate with Slack, you can post a URL for an Explorer query, a Stream, or a Trace view in Slack and members can see a preview of that data directly in the channel.

Product Docs

View Traces

You use the Trace view to see a full trace from beginning to end of a request. The Trace view shows you a flame graph of the full trace (each service a different color) and below that, each span is shown in a hierarchy, allowing you to see the parent-child relationship of all the spans in the trace. Errors are shown in red.