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Gatus
Apache-2.0Gatus is an automated uptime monitor and status page replacing tools like Better Uptime with lightweight, code-configured health checks written in Go.
Open-source alternative to — compare it against:
Overview
Gatus is an automated service health monitor and status page engine configured entirely through code. Rather than asking operators to manually publish incident notices or navigate web forms, it evaluates live endpoints against declarative rules and updates public status in real time. The entire service compiles into a single Go binary that consumes minimal memory while probing HTTP, TCP, UDP, and DNS endpoints.
Why Gatus instead of Better Uptime
Better Uptime operates as a hosted monitoring platform that polls targets across public internet transit from centralized cloud regions. While external vantage points detect public network outages, internet transit introduces latency jitter and CDN caching anomalies into synthetic benchmarks, and frequent polling intervals quickly push organizations into higher pricing tiers. Furthermore, commercial status pages often depend on manual operator updates, creating a delay between service degradation and customer visibility.
Gatus approaches monitoring from an internal, performance-oriented perspective by running directly alongside your infrastructure in Kubernetes or a local cluster. Executing inside the same network eliminates transit noise, enabling accurate latency measurements down to the millisecond and aggressive polling loops without SaaS rate limits. What Better Uptime provides that Gatus omits is an out-of-the-box global probe network and on-call scheduling with telephone alerts. If you require multi-continent synthetic triangulations and automated phone dispatch, Better Uptime fits that operational profile; if you need deterministic in-cluster health validation, GitOps configuration, and immediate status updates with near-zero runtime overhead, Gatus is the right choice.
What it does well
- Declarative YAML configuration deep-merges across directories, enabling DevOps teams to maintain endpoint definitions alongside application code in Git.
- Expressive condition evaluation tests HTTP status codes, latency thresholds, TLS certificate validity, and JSONPath payload fields without external plugins.
- Minimal resource consumption from a static Go binary that runs under thirty megabytes of memory inside Docker or Kubernetes.
- Multi-step endpoint test suites with shared execution context, allowing teams to authenticate, capture response parameters, and execute transactional API flows.
- Native Prometheus metric endpoints and dynamic SVG badges for uptime and response duration, feeding metrics into Grafana dashboards.
