# Garbage Collectors Published articles for Garbage Collectors. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Principles of Memory Management in Java DevFeed: [Principles of Memory Management in Java]() Original publisher: [Read original article]() Author: Ron Pressler Published: 2026-09-04T00:00:00Z Content type: article Language: en Sources: [Inside Java]() Topics: [Java](), [cpu]() Tags: [2026](), [cpu](), [garbage-collectors](), [java](), [javaone](), [jdk](), [memory](), [performance](), [talk]() ### AI overview This talk explains the design choices behind the JDK's garbage collectors and how Java memory management affects application performance. It also examines the relationship between RAM and CPU and questions whether Java's memory use is inherently wasteful. ### Source excerpt In this talk, we'll explore why the JDK's garbage collectors work the way they do and how Java memory management affects application performance. We'll look at the sometimes non-obvious relationship between RAM and CPU, and why they must always be considered together. ## How Gradle Is Javamaxxing DevFeed: [How Gradle Is Javamaxxing]() Original publisher: [Read original article]() Author: Laura Kassovic Published: 2026-05-28T04:00:00Z Content type: article Language: en Sources: [The Gradle Blog]() Topics: [Gradle](), [Java](), [toolchains](), [toolchain]() Tags: [bytecode](), [compiler](), [garbage-collectors](), [gradle](), [java](), [java-8](), [jdk](), [jvm](), [openjdk](), [optimization](), [performance-optimization](), [release]() ### AI overview Gradle aggressively adopts new JDK releases because newer JVMs can improve build speed, memory use, startup behavior, and maintainability. JVM toolchains allow Gradle to run on JDK 26 while compiling and testing projects for older Java versions, including producing Java 8-compatible bytecode. ### Source excerpt Some people optimize one part of their lives to the absolute limit, then past it. They call it "-maxxing." Houseplantmaxxing. Sleepmaxxing. Tokenmaxxing. The Gradle Build Tool is Javamaxxing. TL;DR Breathe easy knowing you can run modern Gradle on JDK 26 while still shipping Java 8-compatible artifacts: Gradle aggressively adopts new JDKs because newer JVMs make builds faster, leaner, and easier to maintain. Upgrading the JDK that runs Gradle is often the easiest performance win. JVM toolchains fully separate the JVM running Gradle, the JVM compiling your code, and the JVM running your tests. NOT TL;DR We aggressively adopt new JDK releases as soon as we responsibly can. Not because it's trendy. Because newer JDKs make Gradle faster, leaner, and easier to maintain. Every OpenJDK release ships improvements to the JVM; garbage collectors, compiler infrastructure, startup behavior, memory layout, and runtime APIs. As a high-performance JVM build tool, Gradle benefits directly from all of it. The question people immediately ask is: Does this mean my project also has to run on the newest JDK? No. That coupling effectively disappeared once Gradle introduced JVM toolchains. With toolchains, the JVM that runs Gradle is completely separate from the JVM that compiles, tests, and executes your code. You can run Gradle on JDK 26 today and still produce Java 8 bytecode. What Is the Current State of Gradle and Java? We add daemon support for every new JDK as soon as the ecosystem permits: Java 24 in Gradle 8.14.0, Java 25 in 9.1.0 (released two days after JDK 25 GA), Java 26 in 9.4.0. The full mapping is in the Compatibility Matrix. We then bump the minimum JVM required to execute Gradle as users move. Gradle 9.0.0, released on July 31, 2025, raised the minimum JVM required to run the Gradle daemon to Java 17. That was the first daemon JVM floor increase since Gradle 5.0 made Java 8 the minimum back in 2018. The next major transition is already underway, Gradle 10.0.0 will likely ## Basics of Java Garbage Collection DevFeed: [Basics of Java Garbage Collection]() Original publisher: [Read original article]() Author: umer Published: 2017-08-06T00:00:00Z Content type: tutorial Language: en Sources: [Code Ahoy - Articles]() Topics: [Java](), [Algorithms](), [Concurrency](), [real-time]() Tags: [garbage-collection](), [garbage-collectors](), [gc](), [hotspot](), [java](), [jvm](), [latency](), [low-latency](), [memory](), [performance](), [real-time](), [threads](), [troubleshooting]() ### AI overview This tutorial provides a high-level overview of Java garbage collection, including collector algorithms, stop-the-world pauses, throughput and low-latency tradeoffs, JVM heap generations, and troubleshooting performance issues. ### Source excerpt Knock, knock. Who's there? ...long GC pause... Java. It's an old joke from the time when Java was new and slow compared to other languages. Over time, Java became a lot faster. Today it powers many real-time applications with hundreds of thousands of concurrent users. These days, the biggest impact on Java's performance comes from its garbage collection. Fortunately, in many cases, it can be tweaked and optimized to improve performance. For most applications, the default settings of the JVM work fine. But when you start noticing performance issues caused by garbage collection and giving more heap memory isn't possible, you need to tune and optimize the garbage collection. For most developers, it's a chore. It requires patience, good knowledge of how garbage collection works and an understanding of application's behavior. This post is a high-level overview of Java's garbage collection with some examples of troubleshooting performance issues. Let's get started. Java ships with several garbage collectors. More specifically, these are different algorithms that run in their own threads. Each works differently and has pros and cons. The most important thing to keep in mind is that all garbage collectors stop the world. That is, your application is put on hold or paused, as the garbage is collected and taken out. The main difference among the algorithms is how they stop the world. Some algorithms sit completely idle until the garbage collection is absolutely needed and then pause your application for a long period while others do most of their work concurrently with your application and thus need a shorter pause during stop the world phase. The best algorithm depends on your goals: are your optimizing for throughput where long pauses every now and then are tolerable or you are optimizing for low latency by spreading it out and having short pauses all along. To enhance the garbage collection process, Java (HotSpot JVM, more accurately) divides up the heap memory into two genera