Most log analysis workflows: write a regex, run it in a bash loop, squint at the output, manually sort by timestamp, hope you did not miss anything.
LogAnalysis Pro replaces that with five specialized engines you run from CLI or import into your own scripts. Offline. One-time purchase.
Five Engines
Smart Log Parser: Multi-format auto-detection. No need to specify nginx vs Django vs syslog format.
Anomaly Detector: Statistical baselines. Feed it a week of normal logs, it flags deviations - error spikes, new IP ranges, dormant endpoints suddenly getting traffic.
Pattern Clusterer: Groups similar error messages without writing grouping logic. Ten thousand variations of connection refused collapse into one cluster with a count. Turns 90-minute reviews into 10 minutes.
Timeline Analyzer: Correlates events across log sources. Give it a failure event, it traces the causal chain backward.
Severity Classifier: Trained model included. No external API calls. High-severity events surface automatically.
A Typical Incident
Users report slow responses. You run:
loganalysis analyze --input /var/log/nginx/access.log --engines anomaly,timeline --window 4h
Anomaly engine flags a 3x spike in 502 errors starting at 14:23. Timeline engine traces it to a specific endpoint. Pattern clusterer groups the downstream errors. Root cause in 3 minutes instead of 30.
Who It Is For
- Self-hosted servers without Datadog/Splunk subscriptions
- Compliance scenarios requiring offline log analysis
- Developers wanting a scriptable interface they fully own
Get It
One-time purchase, no subscription:
- Payhip: payhip.com/b/4oNHy
- Gumroad: segauser.gumroad.com/l/oaslhx
Includes source code, CLI, documentation, and sample log files.
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