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GC easy – Universal Java GC Log Analyser

GARBAGE COLLECTION LOG ANALYSIS API

gceasy.io is introducing a RESTful API to analyze Java GC logs. Here are a couple of use cases where this Java GC API can be used.

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JAVA PERFORMANCE & TROUBLESHOOTING TRAINING

Through our Java performance training program, hundreds of engineers were able to fast track their career growth. Engineers have become Leads. Leads have become managers.

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GC Log Analysis using AI

This post outlines the challenges of analyzing raw GC logs with large language models (LLMs) such as hallucinations and inaccurate metrics. GCeasy addresses these issues by utilizing a structured parsing system to provide accurate metrics and visual graphs, facilitating a reliable analysis while ensuring data security and compliance.

 JAVA DAY ISTANBUL 2026 – GC TUNING: A MASTERPIECE IN PERFORMANCE ENGINEERING

Java Day Istanbul is an influential software conference in Türkiye, organized by the Istanbul Java User Group. It focuses on new technologies in Java and related fields, facilitating networking for developers and companies. Architect Ram Lakshmanan's talk on Garbage Collection Tuning showcased techniques and tips for optimizing performance and reducing costs.

Garbage Collection in the Era of Virtual Threads (Project Loom)

Java 21 introduces virtual threads through Project Loom, enhancing memory efficiency and garbage collection. Unlike traditional threads, virtual threads utilize minimal memory and create fewer garbage collection pauses, improving performance under high load. Tests reveal significantly reduced heap pressure and enhanced system responsiveness, particularly in I/O-heavy applications.

What is Java Garbage Collection?

The post explores Java's Garbage Collector (GC), highlighting its automatic memory management benefits and potential performance issues like response time degradation and increased computing costs. It outlines GC types, tuning strategies, and algorithms to optimize performance. Proper understanding and tuning can significantly improve application efficiency and reduce operational costs.

Java FinOps: Reducing Cloud Costs with Java 25 Compact Headers 

Java 25 introduces Compact Object Headers through JEP 519, reducing object header size from 12 bytes to 8 bytes. This change enhances memory efficiency, leading to lower cloud costs by decreasing heap space usage and garbage collection frequency. As a result, applications experience better performance with reduced memory pressure.

Understanding .NET GC Statistics

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Automating .NET GC Analysis Using APIs

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Important .NET Runtime Configuration Settings

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.NET Garbage Collection CPU Statistics

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