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/ Self-Hosting Guides / Observability Best Self-Hosted Observability Tools Self-hosted observability tools replace Datadog or Splunk with metrics, logs, and traces you run yourself. The picks below compare what each one covers — metrics, logs, traces, or all three — plus resource weight and whether it's an all-in-one app or a stack you assemble.
The standard open-source dashboarding and visualization layer for metrics, logs, and traces, querying Prometheus, Loki, and dozens of other data sources. Go TypeScript
easy Read guide →
Centralized log management on MongoDB and OpenSearch, with search, dashboards, and alerting for large-volume log ingestion. Java MongoDB OpenSearch
hard Read guide →
Real-time, per-second monitoring of systems, containers, and applications with zero-configuration auto-detection and a lightweight C agent. C
easy Read guide →
Op Observability OpenObserve
A single Rust binary that ingests, indexes, and queries logs, metrics, traces, and frontend RUM events, with Parquet-based columnar storage for low storage cost. Rust
easy Read guide →
Pr Observability Prometheus
The de facto open-source metrics time-series database and alerting engine, scraping targets over HTTP and powering most self-hosted dashboarding stacks. Go
easy Read guide →
OpenTelemetry-native APM, logs, metrics, and traces in a single application, backed by ClickHouse for unified storage and querying. Go TypeScript ClickHouse
hard Read guide →