Can PostHog's server read logs or traces during an incident?

No. Its tools work through product insights and dashboards, not application logs, traces, or system metrics. For those, Sentry handles errors and stack traces, Datadog covers APM and log search, and Grafana covers metric dashboards and alerts.

What does PostHog add to a monitoring setup?

The product-side correlation. insight-query and the dashboard tools let an agent check whether an incident lines up with a user-facing regression or a feature-flag rollout, which the infrastructure tools cannot see. That is why it is the complement here, not the primary.

PostHog for monitoring & incidents

Pick 4 of 4 for monitoring & incidentsOfficialPostHog

Incident work is investigation, and PostHog's official server adds the product-side angle most observability stacks miss: was the spike a user-facing regression, or did it line up with a feature-flag change. It comes in fourth of four here because it is a complement to the core monitoring tools rather than a replacement for them; it watches the product, not the infrastructure.

Where it earns the spot is correlation. When an error rate climbs, an agent can check whether a recent flag rollout or a behavioral shift in the product explains it, then connect that to what the infrastructure tools are showing.

How PostHog fits

For an incident, the server reads product state through its insight and dashboard tools: insight-query runs an existing insight to pull the relevant trend or funnel, insights-get-all and insight-get locate the right one, and dashboards-get-all and dashboard-get surface the boards a team already watches. insight-create-from-query lets the agent save a new view mid-investigation, and add-insight-to-dashboard pins it for the postmortem.

The honest limit: this is product analytics, not infrastructure observability. The server here does not query traces, application logs, or system metrics, so it cannot replace the others for the actual detect-and-correlate loop. Sentry, the first pick, reads the error and its stack trace. Datadog covers full APM, metrics, and log search across the stack. Grafana sits over dashboards and alerting on your metrics. PostHog is the layer you add to ask whether a user-facing change or a flag explains the incident; lead with the error tracker and the APM tool, and bring PostHog in for the product correlation.

Tools you would use

Tool	What it does
dashboards-get-all	Get all dashboards in the project with optional filtering.
dashboard-get	Get a specific dashboard by ID, including the insights on it.
dashboard-create	Create a new dashboard in the project.
dashboard-update	Update an existing dashboard by ID.
dashboard-delete	Delete a dashboard by ID.
add-insight-to-dashboard	Add an existing insight to a dashboard.
insights-get-all	Get all insights in the project with optional filtering.
insight-get	Get a specific insight by ID.
insight-create-from-query	Save a query as an insight.
insight-update	Update an existing insight by ID.

Full PostHog setup and config →

FAQ

Can PostHog's server read logs or traces during an incident?: No. Its tools work through product insights and dashboards, not application logs, traces, or system metrics. For those, Sentry handles errors and stack traces, Datadog covers APM and log search, and Grafana covers metric dashboards and alerts.
What does PostHog add to a monitoring setup?: The product-side correlation. insight-query and the dashboard tools let an agent check whether an incident lines up with a user-facing regression or a feature-flag rollout, which the infrastructure tools cannot see. That is why it is the complement here, not the primary.