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Open-Source Observability · ccfos

nightingale

Nightingale is an open-source alerting and monitoring platform built in Go, positioned as the alerting counterpart to Grafana's visualization capabilities. It connects to existing data sources (Prometheus, VictoriaMetrics, ElasticSearch, etc.) and provides rule-based alert generation, noise reduction, and multi-channel notification distribution.

Source: GitHub — github.com/ccfos/nightingale
13.1k
GitHub stars
1.7k
Forks
Go
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryccfos/nightingale
Ownerccfos
Primary languageGo
LicenseApache-2.0 — OSI-approved
Stars13.1k
Forks1.7k
Open issues228
Latest releasev9.0.0-beta.4 (2026-07-04)
Last updated2026-07-08
Sourcehttps://github.com/ccfos/nightingale

What nightingale is

Written in Go, Nightingale ingests metrics via Remote Write, OpenTSDB, Datadog, and Falcon protocols, stores in time-series databases, and executes alerting rules with support for alert muting, escalation, event pipelines, and self-healing automation. It offers dashboards, business group segmentation, and embeddability into third-party systems.

Quickstart

Get the nightingale source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/ccfos/nightingale.gitcd nightingale# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Multi-Source Alert Aggregation & Rule Management

Organizations with metrics already in Prometheus, VictoriaMetrics, or ElasticSearch can centralize alerting logic without rebuilding data collection. Nightingale's rule engine, notification rules, and subscription rules simplify alert distribution across 20+ built-in notification channels.

Edge & Distributed Deployment Scenarios

Teams with poor network connectivity between data centers can deploy n9e-edge as a distributed alerting engine while maintaining central rule management, preserving alerting during network disruptions.

Alert Noise Reduction & Pipeline Automation

Enterprises needing alert deduplication, muting, and automated pipeline processing (metadata enrichment, relabeling, self-healing scripts) can leverage Nightingale's event pipeline and aggregation features to integrate with internal systems.

Implementation considerations

  • Requires existing metrics collection and storage infrastructure (Prometheus, VictoriaMetrics, ElasticSearch, etc.); Nightingale integrates as an alerting layer, not a replacement for these systems.
  • Supports multiple data source types and protocols (Remote Write, OpenTSDB, Datadog, Falcon); verify compatibility with your current stack before deployment.
  • Built-in templates and rules for common OSes and middleware are community-contributed with varying quality; plan for customization and testing of imported rules.
  • Event pipeline functionality requires understanding of pipeline DSL and potential custom script execution; test self-healing automation thoroughly in non-production first.
  • Business group permission model adds operational overhead for large, multi-tenant organizations; design RBAC strategy upfront.

When to avoid it — and what to weigh

  • Metrics Collection Not Yet In Place — Nightingale does not collect metrics itself. If you lack an instrumentation strategy, you must first deploy Categraf or another collector; Nightingale is not a standalone monitoring solution.
  • On-Call Management & Escalation Required — If you need personnel scheduling, on-call rotation, advanced alert escalation, or multi-team collaboration workflows, Nightingale is not designed for these—consider PagerDuty or FlashDuty instead.
  • Visualization-First Use Case — Nightingale's dashboard capabilities are secondary. If dashboarding is your primary concern, Grafana is the recommended choice; Nightingale excels at alerting, not visualization.
  • Production Beta Version Concerns — Latest release is v9.0.0-beta.4 (Jul 2026), not a stable GA release. Organizations requiring production-hardened, long-term-support versions should evaluate stability guarantees before deployment.

License & commercial use

Licensed under Apache License 2.0, a permissive OSI-approved open-source license allowing commercial use, modification, and redistribution with liability disclaimers.

Apache 2.0 permits commercial use without explicit commercial licensing requirements. However, verify whether the project maintainers (CCF ODTC / flashcat community) offer commercial support, SLAs, or indemnification if enterprise-grade support is required.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceHigh
Security considerations

No explicit security audit, vulnerability disclosure process, or security posture documentation provided in the data. Given Apache 2.0 license and active maintenance, assume standard OSS security practices apply. Review GitHub security advisories, conduct threat modeling for your alert pipeline (e.g., script injection in self-healing), and test API authentication/authorization before exposing to untrusted networks.

Alternatives to consider

Prometheus AlertManager

Lighter-weight, single-purpose alerting for Prometheus; if you already use Prometheus and don't need multi-source alert aggregation or advanced notification rules, AlertManager may suffice.

Grafana OnCall (or Cloud Alerting)

Offers alerting, notification, and on-call management integrated with Grafana; better if dashboarding and escalation/on-call scheduling are co-requirements.

PagerDuty / FlashDuty

Purpose-built for alert routing, on-call management, and incident collaboration; choose if your primary need is alert deduplication, escalation, and on-call workflows rather than rule management.

Software development agency

Build on nightingale with DEV.co software developers

Assess your metrics collection setup, data source compatibility, and alert routing needs. If you already have metrics in place and need multi-source rule-based alerting without on-call management, Nightingale merits a pilot in staging. Contact our DevOps or Cloud specialists to design an integration strategy.

Talk to DEV.co

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nightingale FAQ

Does Nightingale collect metrics itself?
No. Nightingale is an alerting layer that connects to existing data sources. Use Categraf or another collector to instrument your infrastructure, then point Nightingale to your metrics storage (Prometheus, VictoriaMetrics, etc.).
Can I import Prometheus alerting rules?
Yes, Nightingale supports direct import of Prometheus alerting rules, easing migration from Prometheus AlertManager.
Does Nightingale support on-call scheduling and escalation?
No. Nightingale focuses on alert rule generation and distribution. For on-call management, personnel scheduling, and escalation workflows, use dedicated on-call products like PagerDuty or FlashDuty.
What is the current stability of Nightingale?
Latest release is v9.0.0-beta.4 (Jul 2026), a pre-release version. Production deployments should assess beta stability and consider waiting for GA release or running extensive testing.

Software development & web development with DEV.co

From first prototype to production, DEV.co delivers software development services around tools like nightingale. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source observability and beyond.

Ready to Evaluate Nightingale for Your Infrastructure?

Assess your metrics collection setup, data source compatibility, and alert routing needs. If you already have metrics in place and need multi-source rule-based alerting without on-call management, Nightingale merits a pilot in staging. Contact our DevOps or Cloud specialists to design an integration strategy.