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Robel Kidin Tstarted a discussion
LogClaw can injest terabytes of data per day
We have placed an algorithm before it reaches LLM to rank and flag logs. Only flaged and ranked below threshold reach the main LLM, this approach helps LogClaw injest terabytes of logs with out an issue.
Robel Kidin Tleft a comment
Hey PH! I'm Robel 👋 I built LogClaw because I kept asking the same question at 3 AM: "my alerts say something is wrong — but WHY?" Every observability tool I tried gave me dashboards. Beautiful dashboards. But when something broke, I was still grepping logs across 20 services trying to piece together what happened. So I built an AI SRE that does that for me: 1. Watches every log line 24/7 2....
LogClawOpen-source AI SRE from log anomaly to Jira ticket in 90s
LogClaw watches every log line 24/7 and auto-creates incident tickets with root cause analysis — in 90 seconds, not hours. Signal-based detection catches OOM crashes in <100ms with 99.8% accuracy. 5-layer trace correlation maps blast radius across services. Auto-files to Jira, PagerDuty, ServiceNow, OpsGenie, Slack, or Native dashboard. Deploys inside your VPC via single Helm chart — your data never leaves. $0.30/GB vs Datadog's $8.50/GB. Open source, Apache 2.0.
LogClawOpen-source AI SRE from log anomaly to Jira ticket in 90s