LogClaw – Open-source AI SRE that auto-creates tickets from logs
Hi HN, I'm Robel. I built LogClaw because I was tired of paying for Datadog and still waking up to pages that said "something is wrong" with no context. LogClaw is an open-source log intelligence platform that runs on Kubernetes. It ingests logs via OpenTelemetry and detects anomalies using signal-based composite scoring — not simple threshold alerting. The system extracts 8 failure-type signals (OOM, crashes, resource exhaustion, dependency failures, DB deadlocks, timeouts, connection errors, auth failures), combines them with statistical z-score analysis, blast radius, error velocity, and…
LogClaw – Open-source AI SRE that auto-creates tickets from logs launched on March 12, 2026 with 19 votes, #885 of 23,380 launches that month and more than 90% of that year's launches.
In plain words
LogClaw is an open-source log intelligence platform designed for Kubernetes environments that automatically detects system anomalies and creates incident tickets. It ingests logs via OpenTelemetry and uses signal-based composite scoring to identify eight types of failures including crashes, resource exhaustion, database deadlocks, and connection errors. Rather than simple threshold alerting, the system combines statistical analysis with blast radius and error velocity signals to reduce false alerts. It is built for site reliability engineers seeking cost-effective alternative to commercial monitoring platforms like Datadog.
written from the facts on this page · September 2026
From the sources
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.
Deploy LogClaw inside your VPC. AI-powered log monitoring, anomaly detection, and auto-ticketing — your data never leaves your infrastructure. Open source, Apache 2.0.
An AI SRE that ingests terabytes of logs per day, detects incidents before your users do, and alerts you over Slack, email, or PagerDuty with full root cause analysis. Two lines of code to set up. Zero alerts to configure. Connect your existing stack — Splunk, Datadog, CloudWatch — or send logs directly from any app with two lines of code. Python, Node, Java, Go — any language with OpenTelemetry support works out of the box. Our ML pipeline processes terabytes of logs in real-time. Pattern recognition, anomaly detection, and cross-service correlation — running autonomously in your cloud, around the clock. LogClaw auto-creates a detailed Jira or ServiceNow ticket with root cause analysis,…from logclaw.ai
In the maker’s words, at launch
Hi HN, I'm Robel. I built LogClaw because I was tired of paying for Datadog and still waking up to pages that said "something is wrong" with no context. LogClaw is an open-source log intelligence platform that runs on Kubernetes. It ingests logs via OpenTelemetry and detects anomalies using signal-based composite…
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