About Ram Lakshmanan
Ram Lakshmanan is the founder and architect of popular JVM diagnostic tools: GCeasy, fastThread, HeapHero, and yCrash. Ram has a deep focus on Java performance engineering & troubleshooting. He has helped several Fortune 500 companies including Apple, Visa, ServiceNow, and Workday to diagnose and resolve complex production issues.
On this blog, Ram shares his real-world experiences, engineering challenges, and lessons from building diagnostic tools used in some of the world’s most demanding production environments. His writing combines practical advice with hands-on examples in a simple, easy-to-understand language.
When developers are stuck with mysterious OutOfMemoryError, long GC pauses, or unresponsive applications, Ram’s tools and techniques provide the clarity they need.
Ram speaks at various developer conferences all over the world and conducts performance engineering workshops to share JVM tuning strategies and production troubleshooting techniques.

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.
March 27, 2026

Native memory leaks in Java are infrequent but challenging to address. This post outlines methods for identifying and troubleshooting leaks, highlighting native memory regions like Metaspace, Threads, and Direct Buffers. By employing tools such as Native Memory Tracking (NMT), developers can effectively diagnose and manage these potential problems.
July 1, 2025

This post discusses the importance of analyzing Garbage Collection (GC) behavior in production environments for application performance, memory troubleshooting, and capacity planning. It addresses challenges in managing numerous JVMs and presents GCeasy's REST API as a solution for automating GC log analysis, offering insightful metrics and secure data handling options.
April 21, 2025

Automatic Garbage Collection in Java enhances application performance by providing insights through GC Logs. These logs reveal vital details about each GC event, aiding optimization and debugging. Various GC algorithms exist, each with distinct log formats. Tools like GCeasy simplify log analysis, offering metrics, graphs, and recommendations to improve GC efficiency.
March 28, 2025

Automatic Garbage Collection, introduced in 1962 with Lisp and popularized by Java in 1995, has evolved significantly. Key trends include pause-less GC to eliminate application downtime, improved performance metrics like throughput and latency, self-tuning capabilities for better goal adherence, and AI-assisted tuning tools for enhanced optimization. Future advancements promise substantial improvements.
March 27, 2025

The post explores the Java Virtual Machine (JVM) and its internal components, focusing on the Heap, Stack, and Garbage Collection (GC). It explains their functions, configuration, and common errors. Additionally, it outlines JVM memory regions and emphasizes the significance of choosing the right GC algorithm to optimize application performance.
March 27, 2025
Explore JVM performance training and DevOps case studies shared by Ram and the yCrash team.
Explore Training