Continuously profile, analyze, and monitor production Java performance.

Gin combines a low-impact profiling agent with powerful next-generation analytic tools to quickly identify bottlenecks and optimization opportunities in production, staging, or development environments.

Gin was built from decades of experience troubleshooting and optimising the performance of Java applications.

To use Gin:

  1. Download and install the Gin agent into the JVM of the application you wish to analyse. 
  2. Analyse the performance data archives using our inspection tools to find performance bottlenecks and optimisation opportunities.

Profiling

Gin profiles your Java applications continuously, in production. It captures high-quality, actionable data without the overhead or limitations of typical profiling tools. See real performance, all the time, in any environment: production, staging, or development.

Analyzing

Dig deep into performance data with Gin’s powerful analysis tools. Focus on total time to analyse the responsiveness of your application or filter by runnable time to pinpoint heavy computations. Quickly spot performance bottlenecks in your code, database, or network.

Optimizing

Optimization is a cycle—analyze, change, deploy, repeat. Gin helps you track progress by comparing performance over time. It’s about making your software faster, smarter, and more efficient by increasing developer productivity and release cadence. 

Monitoring

Stay on top of your application's behavior around the clock. Gin lets you look back in time to investigate issues as they happened. Monitor thread activity, detect anomalies, and track classic metrics like thread counts and system load—so you're never in the dark when problems arise.

Every plan includes

24/7 Production Profiling

Continuous monitoring with negligible performance impact on your applications

Full-Stack Analysis

Deep insights from JVM to database calls, network requests, and external services

Advanced Querying & Filtering

Slice and dice your performance data to find exactly what you're looking for

Historical Replay

Time-travel debugging to see exactly what happened during performance incidents