gatus
Gatus is a self-hosted status page and health monitoring dashboard written in Go. It continuously checks the health of your services via HTTP, TCP, DNS, ICMP, and other protocols, then alerts via Slack, PagerDuty, Teams, Discord, and 40+ other integrations when issues are detected.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | TwiN/gatus |
| Owner | TwiN |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 11.5k |
| Forks | 767 |
| Open issues | 328 |
| Latest release | v5.36.0 (2026-05-19) |
| Last updated | 2026-06-19 |
| Source | https://github.com/TwiN/gatus |
What gatus is
Go-based monitoring tool that executes configurable health checks against endpoints, evaluates results using condition expressions, stores metrics, and exposes both a web dashboard and Prometheus-compatible metrics endpoint. Supports multiple transport protocols, custom alerting rules, and can be deployed as a container or binary.
Get the gatus source
Clone the repository and explore it locally.
git clone https://github.com/TwiN/gatus.gitcd gatus# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Storage backend: default is in-memory or file-based; production use should integrate persistent storage (PostgreSQL, MySQL, SQLite) for metrics and incident history.
- Configuration is YAML-based with environment variable substitution; keep endpoint definitions modular to avoid large monolithic config files.
- Alert latency and check frequency trade-off: default intervals are documented (FAQ section); tune based on tolerance for false positives vs. detection speed.
- Authentication: basic auth and OIDC are supported; plan identity provider integration if exposing dashboard to multiple teams.
- Scaling: single instance is the standard deployment; requires manual sharding or external load balancing for very high check volumes.
When to avoid it — and what to weigh
- Require managed SaaS with guarantees — Gatus is self-hosted only. If you need vendor-managed uptime SLAs, support contracts, and multi-region redundancy out of the box, consider Datadog, New Relic, or Pingdom.
- Need complex log aggregation or metrics correlation — Gatus focuses on endpoint health checks and alerting, not log analysis or deep metrics correlation. Use ELK, Splunk, or Datadog for forensics and analytics.
- Limited Kubernetes or containerization experience — While Docker images are provided, production deployment (HA, storage backend, cert management, networking) requires container infrastructure knowledge. Simpler alternatives exist for non-containerized environments.
- Need enterprise support or security audit trail — Project is community-maintained; no commercial support, SLA, or formal security audit process documented. Not suitable for regulated industries requiring vendor accountability.
License & commercial use
Apache License 2.0 (Apache-2.0), a permissive OSI-approved license. Permits commercial use, modification, and distribution with proper attribution.
Apache-2.0 is a permissive open-source license that allows commercial use. However, the project is community-maintained with no paid support, SLA, or vendor warranty. Ensure your legal and security teams review license obligations (e.g., NOTICE file, liability disclaimers) before production use in commercial environments.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Strong |
| Assessment confidence | High |
Project does not claim to have undergone formal security audit. Basic authentication and OIDC are available for dashboard access; configure TLS for all endpoints. Secrets (API keys, webhooks) are passed via environment variables or config files—implement proper secret management (e.g., Kubernetes Secrets, HashiCorp Vault). No documented vulnerability disclosure process; review open issues for reported concerns.
Alternatives to consider
Prometheus + Alertmanager + Blackbox Exporter
More mature, widely adopted metric-based monitoring. Requires more setup but integrates deeply with observability stacks. Better for metrics-driven alerting.
Datadog Synthetics / New Relic Synthetic Monitoring
Managed SaaS with vendor support, multi-region execution, and deep analytics. Eliminates operational overhead; suitable for regulated industries.
Uptime Robot / Pingdom
Simple, managed status monitoring for non-technical users. No self-hosting overhead; suitable for SMBs without DevOps capacity.
Build on gatus with DEV.co software developers
Deploy Gatus today to catch infrastructure failures before they impact your users. Start with a simple Docker container and scale to Kubernetes when ready.
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gatus FAQ
Can Gatus detect problems if no one is accessing the service?
What is the recommended health-check interval?
Is there a managed/SaaS version of Gatus?
Can I use Gatus in production without external storage?
Software development & web development with DEV.co
Need help beyond evaluating gatus? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source devops integrations — and maintain them long-term.
Ready to monitor your services?
Deploy Gatus today to catch infrastructure failures before they impact your users. Start with a simple Docker container and scale to Kubernetes when ready.