Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX

Summary

HyperDX HyperDX, a core component of ClickStack, helps engineers quickly figure out why production is broken by making it easy to search & visualize logs and traces on top of any ClickHouse cluster (imagine Kibana, for ClickHouse). Documentation • Chat on Discord • Live Demo • Bug Reports • Contributing • Website 🕵️ Correlate/search logs, metrics, session replays and traces all in one place 📝 Schema agnostic, works on top of your existing ClickHouse schema 🔥 Blazing fast searches & visualizations optimized for ClickHouse 🔍 Intuitive full-text search and property search syntax (ex. level:err ), SQL optional! ), SQL optional! 📊 Analyze trends in anomalies with event deltas 🔔 Set up alerts in just a few clicks 📈 Dashboard high cardinality events without a complex query language { Native JSON string querying Native JSON string querying ⚡ Live tail logs and traces to always get the freshest events 🔭 OpenTelemetry supported out of the box ⏱️ Monitor health and performance from HTTP requests to DB queries (APM) Spinning Up HyperDX HyperDX can be deployed as part of ClickStack, which includes ClickHouse, HyperDX, OpenTelemetry Collector and MongoDB. docker run -p 8080:8080 -p 4317:4317 -p 4318:4318 docker.hyperdx.io/hyperdx/hyperdx-all-in-one Afterwards, you can visit http://localhost:8080 to access the HyperDX UI. If you already have an existing ClickHouse instance, want to use a single container locally, or are looking for production deployment instructions, you can view the different deployment options in our deployment docs. If your server is behind a firewall, you'll need to open/forward port 8080, 8000 and 4318 on your firewall for the UI, API and OTel collector respectively. We recommend at least 4GB of RAM and 2 cores for testing. Hosted ClickHouse Cloud You can also deploy HyperDX with ClickHouse Cloud, you can sign up for free and get started in just minutes. Instrumenting Your App To get logs, metrics, traces, session replay, etc into HyperDX, you'll need to inst...