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Parseable

Rust observability platform for logs, metrics and traces

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Parseable is an AGPL-3.0 observability platform in a single Rust binary that stores logs, metrics and traces on object storage, queried with SQL or PromQL.

Pricing
Open source
Deployment
Self-hosted
Platforms
Web, Windows
2,571stars184forks
1views
Updated

What is Parseable?

Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces and events, and uses stateless compute over object storage as the backing store, so storage and compute scale independently. The code is licensed under AGPL-3.0, and the company behind it is Parseable Inc., with an address in San Francisco and an office in Bengaluru.

Telemetry arrives through popular logging agents, OpenTelemetry, Kafka, eBPF and other integrations. Parseable can act as a drop-in replacement for an existing OpenTelemetry Collector setup. Native features include alerting, dashboards, anomaly detection, APM, PromQL and SQL, all within a single binary. The website also lists service maps, an error page and AI analysis with root cause analysis.

You can run the binary on a laptop with a one-line install command, deploy it in a public or private cloud, or use managed Parseable Cloud, which offers a 14 day free trial according to the README. For production deployments, the project points to an installation guide with hardening tips.

It suits teams that want one tool for logs, metrics and traces with object storage as the backend.

Key capabilities

  • Ingestion from logging agents, OpenTelemetry, Kafka and eBPF
  • Alerting, dashboards, anomaly detection and APM
  • SQL and PromQL queries
  • Log, metric and distributed trace views
  • Service maps, an error page and AI analysis with root cause analysis
  • A single binary, with Parseable Cloud as a managed option
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Where Parseable fits

  • Logs, metrics, traces and events
  • Object storage backed data lake
  • OpenTelemetry native ingestion
  • Alerting and dashboards
  • AI-assisted investigation
  • Public cloud, private cloud or managed deployment

Install

curl -fsSL https://logg.ing/install | bash

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