Gq

Gigapipe (qryn) on Ubuntu 24.04 LTS

Azure Observability

Polyglot observability backend: Loki, Prometheus, Tempo and OTLP compatible APIs on ClickHouse with a built in explorer.

Base
Hardened build
minimal ports, security patches applied at build time
Access
Unique credentials
generated on first boot, readable only by root
Verified
Boots working
services pass a health gate before release
Support
24/7, 365 days
by email and live chat, 24 hour response SLA

Overview

Gigapipe, formerly known as qryn, is an open source polyglot observability backend. One lightweight service ingests logs, metrics, traces and profiles through the APIs your tooling already speaks, including Loki push, Prometheus remote write, Tempo and Zipkin, OpenTelemetry (OTLP) over HTTP, InfluxDB line protocol, Datadog and Elastic bulk formats, and stores everything in ClickHouse. You query it with LogQL, PromQL and TraceQL from the built in explorer UI or from any Grafana compatible client, with no plugins required, and correlate logs, metrics and traces in one place.

Why the cloudimg image

The cloudimg image is a complete single node deployment: Gigapipe, ClickHouse and an OpenTelemetry Collector that ships the machine's own system journal and host metrics into Gigapipe from the first minute, so the explorer already shows live data when you sign in. Gigapipe and ClickHouse bind to loopback only; the single HTTPS front door carries a certificate generated on your machine and HTTP basic authentication on every API and the explorer. Every secret, including the ClickHouse passwords and the basic authentication credential, is generated at first boot and the storage schema is created for the first time on your own machine. The base is fully patched and paired with a deployment guide, and every image is backed by 24/7 cloudimg support.

Common uses

  • Running a self hosted, Grafana compatible logs, metrics and traces backend without the LGTM stack
  • Collecting OpenTelemetry, Loki, Prometheus and Tempo data from many services into one ClickHouse store
  • Standing up an observability endpoint for a team or environment in minutes with retention you control

See it running

Real screenshots taken while testing this image against its deployment guide.

Gigapipe (qryn) on Ubuntu 24.04 LTS screenshot 1 Gigapipe (qryn) on Ubuntu 24.04 LTS screenshot 2 Gigapipe (qryn) on Ubuntu 24.04 LTS screenshot 3 Gigapipe (qryn) on Ubuntu 24.04 LTS screenshot 4