Real-world workflows you can run with SigNoz's AI tools: Noz, the in-product AI teammate, and the SigNoz MCP Server for coding agents.
Each guide walks through a specific scenario: the prompt to try, what to expect, and what happens under the hood.
With Noz
In-product workflows you run from the Noz panel inside SigNoz.
When errors or latency jump after a release, ask Noz to compare before and after and point at the regression.
Ask Noz where a slow endpoint spends its time and get a trace broken down to the bottleneck span.
Have Noz read an alert's firing history and recommend a threshold and window that cut the noise.
Ask Noz to line up pod restarts and resource pressure against an app error spike on a shared timeline.
Scope logs to a tenant or user and have Noz tell you whether the problem is isolated or widespread.
Ask Noz for an error and latency summary across your top services and see what is trending less reliable.
With the SigNoz MCP Server
Workflows you run from any MCP-compatible AI assistant connected to SigNoz.
Search, filter, and analyze logs by asking questions in plain English - no query syntax required.
Ask 'why is this slow?' and get a full span breakdown identifying the bottleneck service.
Paste a trace ID from a support ticket and reconstruct the full request path with root cause.
Find where errors originate in the call chain when error rates spike on a service.
When multiple services alert simultaneously, identify whether it's a cascade from one failure or separate incidents.
Compare key metrics before and after a deployment to detect performance regressions or unexpected changes.
Generate a handoff summary of recent incidents and ongoing issues for the next on-call engineer.
Identify noisy, flapping, and stale alerts by analyzing which alerts correlate with actual service degradation and which don't.
Profile request paths via traces while building features to find overhead before it reaches production.
Debug a failed request from your IDE and get the full trace with span breakdown and error logs without opening a browser.
Create custom dashboards by describing what you want to visualize in plain English.
Instantly generate focused dashboards for active incidents with relevant metrics and traces.
Quickly create production ready alerts for newly deployed services using plain English.
After an incident is resolved, compile a timeline of alerts, log events, trace anomalies, and metric changes into a clean evidence summary.
