Alternatives
Products that do what Uptrace v2.0 does
Next-gen observability with 10x faster queries
- 1UO
2023 · github.com
- 2OS
Uptrace is an all-in-one tool that supports distributed tracing, metrics, and logs. It uses OpenTelelemetry observability framework to collect data and ClickHouse database to store it. You can ingest data using OpenTelemetry Protocol (OTLP), Vector Logs, and Zipkin API. You can also use OpenTelemetry Collector to collect Prometheus metrics or receive data from Jaeger, X Ray, Apache, PostgreSQL, MySQL and many more. The latest Uptrace release introduces support for OpenTelemetry Metrics which includes: - User interface to build table-based and grid-based dashboards. - Pre-built dashboard…
2022 · app.uptrace.dev
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- 7CO
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 ClickStack makes it really easy to instrument your application so you can go…
2025 · github.com
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- 11GE
Hi HN, Gentrace is our new evaluation and observability tool for generative AI (open beta). Generative pipelines are hard to evaluate because outputs are subjective. Lots of developers end up just doing “gut checks” on a few inputs before shipping changes, or they build up a spreadsheet of test cases that they manually run through the pipeline. Some companies outsource filling out the spreadsheet. However, in any of these cases, you end up with a very slow and expensive process for evaluation. At one point, we did this too. Gentrace is the result of a pivot; it was an internal tool we used…
2023 · gentrace.ai
- 12DT
2021 · github.com
- 13UV
Uptrace is an open source APM that supports distributed tracing, metrics, and logs. You can use it to monitor applications and troubleshoot issues. The latest v1.6 release adds support for service graphs, Prometheus remote write, Grafana data source for Prometheus, annotations, and much more. The main feature in this release is the ability to use Uptrace as a Prometheus data source in Grafana. Uptrace uses the original Prometheus engine, so all Prometheus queries should be supported and you should be able to use existing Grafana dashboards with the Uptrace data source. You can learn more in…
2024 · uptrace.dev
- 14CA
2016 · text.sourcegraph.com
- 15OS
2022 · opendatadiscovery.org
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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- 18YD
If you've built any web-based app in the last 15 years, you probably used something like Datadog, New Relic, Sentry, etc. to monitor and trace your app, right? Why should it be different when the app you're building happens to be using LLMs? So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js A few months ago we launched…
2024 · github.com
- 19OO
Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io
- 20UI
2014 · updown.io
- 21TU
Uptrace adds support for exceptions, in-app logs, basic users and projects management.
2022 · github.com
- 22UB
2018 · uplink.readthedocs.io
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai
- 24PI
2019 · pingstack.io
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