GC Analyzer

A web-based GC log analyzer for developers and SREs to quickly identify memory pauses, growth patterns, and tuning opportunities.

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About This Tool

Analyze GC logs from major collectors to understand JVM memory behavior and identify performance bottlenecks.
The tool ingests standard GC logs, normalizes formats and time units, and computes key metrics such as total GC time, average and maximum pause, pause frequency, heap occupancy per generation, and allocation rates. It supports multiple collectors (Serial, Parallel, CMS, G1, ZGC) and auto-detects format for streamlined analysis.
Conceptually, it builds time-series representations of memory usage and GC phases, then applies simple statistical calculations and heuristics to highlight spikes, trends, and correlations with heap growth. The results facilitate root-cause analysis and capacity planning. Unique value lies in cross-collector normalization, actionable tuning guidance, and exportable reports, all processed locally in the browser or your environment for privacy.
Typical use cases include diagnosing long GC pauses in production, verifying memory sizing after code changes, and validating improvements from configuration tweaks. The tool emphasizes deterministic outputs, reproducible reports, and safe, non-intrusive analysis that complements profilers and live monitoring.

How to Use

  1. Provide inputs: upload GC log file or paste log data into the text area.
  2. Choose detection: enable auto-detect or specify the GC collector.
  3. Run analysis: compute metrics, time-series, and summaries.
  4. Review outputs: examine pause statistics, heap trends, and recommendations.
  5. Export: download reports in JSON/CSV/PDF for sharing.
How to use online gc analyzer

Frequently Asked Questions

Find Quick Answers

What GC formats are supported?
The tool supports standard HotSpot logs for Serial, Parallel, CMS, G1, as well as newer collectors like ZGC. It auto-detects format and normalizes timestamps for consistent analysis.
Can I use this tool offline or without sending data?
Yes. Processing can run client-side in a browser or private environment. Data is not transmitted unless you explicitly export or share a generated report.
What outputs are generated?
A structured metrics summary, time-series data, and a downloadable report. Outputs include recommendations and optional JSON/CSV export for integration with your analytics pipeline.
How are recommendations generated?
Recommendations are formed from thresholds on pause duration, heap occupancy, and allocation rate, aligned with JVM tuning best practices. The tool prioritizes non-disruptive changes and verifies impact with derived metrics.

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