@bkdgiffug: Log platforms are too expensive—definitely worth checking this one out. There's an OpenObserve on GitHub, an open-sourc…

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open-source observability rust logging metrics monitoring low-cost

Summary

OpenObserve is an open-source observability platform written in Rust that offers a cost-effective alternative to commercial log platforms, supporting logs, metrics, traces, and LLM monitoring with SQL and PromQL queries.

Log platforms are too expensive—definitely worth checking this one out. There's an OpenObserve on GitHub, an open-source observability platform written in Rust, with the main pitch: spend less money, fuss less. It covers a pretty full range of jobs: Logs, metrics, traces, RUM, LLM monitoring—all in one package Parquet + S3 storage, focused on low-cost massive data Query directly with SQL, PromQL—no need to learn some weird new query syntax Single binary deployment, skipping a ton of cluster ops headaches License is AGPL-3.0, and the code is fully open-source. Bottom line: if you're hunting for an open-source alternative to commercial observability platforms, go ahead and add this to your shortlist.
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@XAMTO_AI: OpenObserve is blowing up in the community — a Rust-based observability platform that takes on those outrageously expensive log tools. AGPL-3.0 license, single-file deployment, up and running in minutes. Storage costs drop 140x: Parquet + S3 architecture, incredibly small footprint. All-in-one: logs, me…

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OpenObserve is an open-source observability platform built in Rust that supports logs, metrics, distributed tracing, and RUM. Its storage cost is 140x lower than Elasticsearch, it can be deployed as a single file, and it serves as an open-source alternative to Datadog.

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OpenObserve launches an AI-native, open-source observability platform designed to trace AI agents and LLMs, offering detailed insights into performance, cost, and quality for developers.