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

Hey HN! Mike & Warren here from HyperDX (now part of ClickHouse)! We’ve been building ClickStack, an open source observability stack that helps you collect, centralize, search/viz/alert on your telemetry (logs, metrics, traces) in just a few minutes - all powered by ClickHouse (Apache2) for storage, HyperDX (MIT) for visualization and OpenTelemetry (Apache2) for ingestion. You can check out the quick start for spinning things up in the repo here: https://github.com/hyperdxio/hyperdx https://github.com/hyperdxio/hyperdx ClickStack makes it really easy to instrument your application so you can go from bug reports of “my checkout didn’t go through” to a session replay of the user, backend API calls, to DB queries and infrastructure metrics related to that specific request in a single view. For those that might be migrating from Very Expensive Observability Vendor (TM) to something open source, more performant, and doesn’t require extensive culling of retention limits and sampling rates - ClickStack gives a batteries-included way of starting that migration journey. For those that aren’t familiar with ClickHouse, it’s a high performance database that has already been used by companies such as Anthropic, Cloudflare, and DoorDash to power their core observability at scale due to its flexibility, ease of use, and cost effectiveness. However, this required teams to dedicate engineers to building a custom observability stack, where it’s difficult to not only get their telemetry data easily into ClickHouse but also struggling without a native UI experience. That’s why we’re building ClickStack - we wanted to bundle an easy way to get started ingesting your telemetry data whether it’s logs & traces from Node.js or Ruby to metrics from Kubernetes or your bare metal infrastructure. Just as important we wanted our users to enjoy a visualization experience that allowed users to quickly search using a familiar lucene-like search syntax (similar to what you’d use in Google!). We recognise though, that a SQL mode is needed for the most complex of queries. We've also added high cardinality outlier analysis by charting the delta between outlier and inlier events - which we've found really helpful in narrowing down causes of regressions/anomalies in our traces as well as log patterns to condense down clusters of similar logs. We’re really excited about the roadmap ahead in terms of improving ClickStack as a product and the ClickHouse core database to improve observability. Would love to hear everyone’s feedback and what they think! Spinning up a container is pretty simple: `docker run -p 8080:8080 -p 4317:4317 -p 4318:4318 docker.hyperdx.io/hyperdx/hyperdx-all-in-one` In browser live demo (no sign ups or anything silly, it runs fully in your browser!): https://play.hyperdx.io/ https://play.hyperdx.io/ Landing Page: https://clickhouse.com/o11y https://clickhouse.com/o11y Github Repo: https://github.com/hyperdxio/hyperdx https://github.com/hyperdxio/hyperdx Discord community: https://hyperdx.io/discord https://hyperdx.io/discord Docs: https://clickhouse.com/docs/use-cases/observability/clickstack/getting-started https://clickhouse.com/docs/use-cases/observability/clicksta...