Nightingale

n9e.github.io ↗

Centralize alert rules across metrics, logs, and database sources you already run.

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Homepage screenshot
Screenshot of the Nightingale homepage

What it does

Nightingale (n9e) is a self-hosted monitoring and alerting engine that queries existing metrics, log, and SQL-backed data sources and routes resulting events to configured notification channels. It can run with its own evaluation stack for a local trial, but Nightingale itself does not collect telemetry; Categraf is a separate companion collector.

A common alert workflow over existing stores

Nightingale is useful when teams want one place to write alert rules without migrating every signal into a new backend. Its docs describe a local Docker Compose evaluation bundle, followed by registering a data source, creating a rule, test-firing it, and attaching a notification channel. Supported source types include Prometheus-compatible stores and several log or SQL backends.

The quick-start path is documented as:

git clone https://github.com/ccfos/nightingale.git
cd nightingale/docker/compose-bridge
docker compose up -d

After the local UI is available, a simple illustrative PromQL condition such as up == 0 could be used to explore how an unavailable scrape target becomes an alert event. The command and rule are examples from the documented workflow, not hands-on tested here.

Nightingale is the alert and query layer, not a general-purpose collector. Existing stores remain in place; if a host or service has no telemetry yet, the docs point to Categraf or another compatible collector. The project repository and license identify the self-hosted software as Apache-2.0; the documentation also lists an Enterprise Edition, whose separate commercial terms need checking before procurement.

Strengths

  • Lets teams query several existing data sources with a shared alert-rule workflow.
  • Keeps source data in its existing stores rather than requiring migration into Nightingale.
  • The documented Compose bundle gives a practical local evaluation path.

Watch out for

  • Nightingale does not collect telemetry itself, so teams need existing data sources or a separate collector.
  • Production self-hosting requires operating Nightingale and its supporting services.

Best for

  • Infrastructure and SRE teams consolidating alert authoring and notification routing across self-managed monitoring data sources.

Sources