{"id":18732446,"url":"https://github.com/metrico/qryn-minimal","last_synced_at":"2025-04-12T18:31:13.062Z","repository":{"id":209870927,"uuid":"725154241","full_name":"metrico/qryn-minimal","owner":"metrico","description":"qryn minimal polyglot demo - the smallest drop-in LGTM compatible stack 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href=\"https://qryn.dev\"\u003e\u003cimg src=\"https://user-images.githubusercontent.com/1423657/218816262-e0e8d7ad-44d0-4a7d-9497-0d383ed78b83.png\" width=180\u003e\u003c/a\u003e\n\n# qryn-minimal\n\n\u003e The lightest, most portable and powerful _all-in-one_ observability combo ever, now with embedded storage\n\n\u003cbr\u003e\n\n### ⭐ Features\nDrop-in compatible ingestion and query APIs with polyglot features:\n- **Loki** API + **LogQL** 👁️ [logs](https://qryn.metrico.in/#/logs/ingestion)\n- **Prometheus** API + **PromQL** 👁️ [metrics](https://qryn.metrico.in/#/metrics/ingestion)\n- **Tempo** API + **TempoQL** 👁️ [traces](https://qryn.metrico.in/#/metrics/ingestion)\n- **Pyroscope** API 👁️ [profiling](https://qryn.metrico.in/#/profiling/ingestion)\n- **Polyglot Ingestion** compatible with _[Elastic, Datadog, InfluxDB](https://qryn.metrico.in/#/support) and more_ \n\n\u003cbr\u003e\n\n### 🍪 Ingredients\n- **[qryn](https://github.com/metrico/qryn)**: _polyglot, lighweight, multi-standard drop-in observability framework for Logs, Metrics and Traces_\n- **[cowsdb](https://github.com/cowsdb/cowsdb)**: _local embedded SQL OLAP Engine for serverless functions API compatible with ClickHouse_\n\n\u003cbr\u003e\n\n#### ⚠️ Warning\n\u003e This bundle is designed for minimal single node setups with local storage only.\u003cbr\u003e\n\u003e For full sized deployments please refer to the complete [qryn-demo](https://github.com/metrico/qryn-oss-demo)\n\n\u003cbr\u003e\n\n#### 👉 Launch\n\nSpin up qryn-minimal w/ embedded database storage using `docker compose`\n```\ndocker compose pull\ndocker compose up -d\n```\n\n| app | port |\n|---|---|\n| qryn | 3100 |\n\n\u003cbr\u003e\n\n#### 🔎 Test\n- Ingest a sample log line using `curl`\n```bash\ncurl -i -XPOST -H \"Content-Type: application/json\" http://localhost:3100/loki/api/v1/push \\\n  --data '{\"streams\":[{\"stream\":{\"type\":\"test\"},\"values\":[['$(date +\"%s%N\")', \"hello qryn\"]]}]}'\n```\n\n- Browse to **qryn-view** at `http://localhost:3100` to search \u0026 find your test log\n\n\u003cimg src=\"https://github.com/metrico/qryn-minimal/assets/1423657/d05e0442-08de-486c-85de-e3d69b87716c\" width=400 \u003e\n\n- Follow the [qryn instructions](https://qryn.metrico.in/#/) to ingest any of your **Logs, Metrics and Traces**\n- Add **Grafana** using the native _Loki, Prometheus and Tempo datasources_ with **qryn** APIs\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmetrico%2Fqryn-minimal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmetrico%2Fqryn-minimal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmetrico%2Fqryn-minimal/lists"}