Developer Tools●●Solid
Using Isolation forests to flag anomalies in log patterns
Isolation Forest + K-means clustering detects log anomalies visually, but Datadog and Splunk already ship this.
Solve My ProblemBig Brain
kvaranasi_
413mo ago
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My tool found 1 DELETE TABLE log from 1M logs
by kvaranasi_·May 24, 2026·2 points·1 comment
AI Analysis
●●SolidSolve My ProblemSlick
Catches catastrophic DDL drops that standard alerting rules would miss.
Strengths
- •K-means clustering on 1M logs finds needles without predefined rules.
- •AI analysis generates incident summaries and recommended remediation steps.
- •Visual cluster map makes high-dimensional log data explorable.
Weaknesses
- •Competes directly with established players like Datadog, Splunk, and Honeycomb.
- •Unclear if the ML models are customizable or just a black box.
Category
Target Audience
DevOps engineers, SREs, Backend developers
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Datadog · Splunk · Honeycomb
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