Java Memory Optimizer (JMO)

Advanced Memory Management Using
AI-GC Analyzer

Optimize JMO performance effortlessly with AI-driven insights and tailored heap settings recommendations.

Automated GC Log Analysis

In today's modern landscape, Garbage Collection logs continue to be scrutinized through labor-intensive manual methods. This entails reaching out to an Operations engineer, who then shares the application's GC logs via email, followed by the manual upload of these logs to a GC analysis tool. Subsequently, the analysis requires personal expertise and attention.

Misfortunately, there remains a lack of automated means for proactive Garbage Collection log analysis. This means analyzing the GC logs of multiple JMOs simultaneously becomes an insurmountable challenge due to the sheer tedium involved. To address this issue, we've developed a API tailored for Garbage Collection log analysis. With just one line of code, users can instantly access comprehensive analysis of all their GC logs, simplifying the entire process significantly.

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Robust JMO GC Log Analyzer

Depending on the GC algorithm, Java version, JMO provider, and memory arguments provided, the format of the GC log will vary. GCeasy stands as the pioneering online GC log analyzer in the industry, capable of analyzing GC logs regardless of their format.

Serial GC, Parallel GC, CMS GC, G1 GC, Z GC, Shenandoah GC, Zing GC, and Jstat are supported.
Java versions from 1.2 to 22 are compatible.
JVM providers including Oracle, IBM, HP, Azul, and OpenJDK are supported.
Android GC logs, such as Dalvik GC Log and Android Runtime (ART) GC Log, are compatible.
Unified GC logging format is supported.
All types of memory settings are accommodated.

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Boosting App Performance by Automated Memory Management

Memory Management

Garbage collection tools automate memory management, preventing memory leaks and optimizing memory usage within applications.

Performance Optimization

Boosting app speed, they reclaim unused memory, minimizing pauses from manual memory management.

Developer Productivity

Frees developers from manual memory management, letting them focus on coding instead of memory handling.

Process

Implement Java GC Logs

Initiate GC logging effortlessly to analyze JVM memory behavior and optimize garbage collection for improved application performance

Activate GC Logging

Activate GC logging by specifying the appropriate Java memory arguments: For Java versions up to 8: -XX:+PrintGCDetails -Xloggc:<GC-log-file-path> For Java 9 and later: -Xlog:gc*:file=<gc-log-file-path>

Transfer GC Logs to GCeasy

Transfer the generated GC logs to GCeasy and instantly access top-tier GC reports.

Employ JMO

For proactive analysis of numerous JVMs' GC logs, utilize our JMO tool.

With all the FeaturesYou Need

GC Tuning Insights
Our platform offers top-tier telemetry data, perfect for fine-tuning Garbage Collection processes, ensuring optimal performance and resource utilization
G1 Garbage Support
Supply comprehensive aid for navigating the latest iterations of Java, including optimizing strategies like the G1 garbage collector
Kernel Performance
Offers deeper insights intokernel and user space timings, alongside object creation statistics
Java Memory Evaluation
Thorough Analysis of Java Memory Management for Enhanced Performance

Java 9 Logging Compatibility
Java 9 introduced modifications to GC logging, and we demonstrate exceptional proficiency in adapting to and supporting its revised format
Efficiency Monitoring Tool
Delivers comprehensive insights on memory usage and the overall GC process efficiency
Instant GC Log Review
No registration, downloads, or installations necessary. Upload the GC log file and promptly review the report
Streamlined GC Logging
Unified JVM logging, including -Xlog:gc, GCeasy provides seamless support for comprehensive GC logging