---
title: "Show HN: ML condenses billions of logs into a tiny snapshot your LLM can debug"
slug: "rocketgraph-verdichtet-milliarden-logs-zu-debug-snapshots-fuer-llms"
date: 2026-06-17
category: community
tags: []
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/rocketgraph-verdichtet-milliarden-logs-zu-debug-snapshots-fuer-llms
---

# Show HN: ML condenses billions of logs into a tiny snapshot your LLM can debug

**Published**: 2026-06-17 | **Category**: community | **Sources**: 1

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## TL;DR

- Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM.

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## Summary

- Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM. It first turns log lines into structural patterns and flags unusual clusters.
- Its ML pipeline uses Drain3 for templates, Isolation Forest for anomaly scores by service and Half-Space-Trees to score brand-new logs in real time.
- The README claims a production-burst test where 2M logs became 58 templates and 9 anomalies in 90 seconds on a single container.
- It is self-hosted and sits beside Loki, Datadog, New Relic, CloudWatch, Sentry or ClickHouse; optional Claude triage explains the deterministic clusters.

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## Why it matters

Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM. It first turns log lines into structural patterns and flags unusual clusters.

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## Key Points

- Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM. It first turns log lines into structural patterns and flags unusual clusters.
- Its ML pipeline uses Drain3 for templates, Isolation Forest for anomaly scores by service and Half-Space-Trees to score brand-new logs in real time.
- The README claims a production-burst test where 2M logs became 58 templates and 9 anomalies in 90 seconds on a single container.
- It is self-hosted and sits beside Loki, Datadog, New Relic, CloudWatch, Sentry or ClickHouse; optional Claude triage explains the deterministic clusters.

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## Nauti's Take

Smart idea, but the physics of detail decides this one: if the snapshot compresses away the wrong edges, your LLM just hallucinates with better posture. This gets real when Rocketgraph proves which incident classes survive the squeeze and which disappear into pattern soup.

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## FAQ

**Q:** What is Show HN about?

**A:** - Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM.

**Q:** Why does it matter?

**A:** Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM. It first turns log lines into structural patterns and flags unusual clusters.

**Q:** What are the key takeaways?

**A:** Rocketgraph is an open-source observability tool that does not dump raw logs into an LLM. It first turns log lines into structural patterns and flags unusual clusters.. Its ML pipeline uses Drain3 for templates, Isolation Forest for anomaly scores by service and Half-Space-Trees to score brand-new logs in real time.. The README claims a production-burst test where 2M logs became 58 templates and 9 anomalies in 90 seconds on a single container.

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## Related Topics

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## Sources

- [Show HN: ML condenses billions of logs into a tiny snapshot your LLM can debug](https://github.com/Rocketgraph/rocketgraph) - Hacker News AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-06-19*