Author Archives: Stanislav_Panteleev

Monitoring JVM Performance and Diagnosing Issues Monitoring the Java Virtual Machine (JVM) is essential for diagnosing performance bottlenecks, memory leaks, and application slowdowns. Here are the key methods and tools you can use to monitor JVM performance and troubleshoot issues.

JVM Flags: Definition & Categorization JVM flags (or JVM options) are command-line parameters used to configure the behavior of the Java Virtual Machine (JVM). These flags help in optimizing performance, managing memory, tuning garbage collection, debugging, and more. JVM flags … Continue reading →

The -Xms and -Xmx parameters are used to configure the heap size for a JVM application, but they serve different purposes:

Configuring the heap size for a JVM application is crucial for optimizing performance and memory management. Here’s how you can do it:

JVM (Java Virtual Machine) tuning is crucial for optimizing performance, reducing memory usage, and improving application responsiveness. Here are some common JVM tuning options categorized based on different aspects:

How EnumSet Stores Data Internally in Java Unlike HashSet, which stores elements using a hash table (creating separate objects for each element), EnumSet stores enum values as bitwise flags inside a single long or long[] array, making it much more … Continue reading →

Using the right data structures can reduce memory overhead, improve performance, and minimize GC pressure. Let’s break down each recommendation and explain why it helps optimize GC behavior.

1️⃣ Use the Right Garbage Collector for Your Application Different GC algorithms are optimized for different workloads: GC Type Best For Enable With G1GC (Garbage First) Balanced performance for large heaps (default from Java 9) -XX:+UseG1GC ZGC (Ultra-Low Latency) Large … Continue reading →

Why Not Just Manually Remove the Entry Instead of Using WeakHashMap? Yes, you can manually remove the entry from a collection, but using WeakHashMap or WeakReference provides an automatic solution, preventing memory leaks in large or complex applications. Let’s analyze … Continue reading →

Large collections such as HashMap, ArrayList, and Set can hold references to objects even after they are no longer needed. If the objects are strongly referenced inside these collections, they cannot be garbage collected, leading to memory leaks.