Tuning Java ServersInfoQ Software Architects' Newsletter A monthly overview of things you need to know as an architect or aspiring architect. View an example
Java Memory Model Pragmatics (transcript)
This is a very long transcript for a very long talk. The talk’s running time is close to 120-150 minutes, and transcript may take even longer if digested thoughtfully. Please plan your reading accordingly. There are five large sections which are mostly independent of each other, that should help to split the reading. The talk is correct to the best of my knowledge, but parts of it may still be inc
MapDB: The Agile Java Data Engine
MapDB is a pure Java database, specifically designed for the Java developer. The fundamental concept for MapDB is very clever yet natural to use: provide a reliable, full-featured and “tune-able” database engine using the Java Collections API. MapDB 1.0 has just been released, this is the culmination of years of research and development to get the project to this point. Jan Kotek, the primary deve
Hotspot VMの基本構造を理解する
ネイティブコンパイラは、高速に動作するネイティブコードの実行ファイルを生成しますが、Javaのメリットでもある動的なクラスのロードに対応できない場合があります。今回の説明の対象としているのは動的コンパイラです。Javaで使われている動的コンパイラは、メモリ上にコードを生成するものであり、ある形式のファイルを生成するものではありません。動的コンパイラは一般にはJIT（Just In Time）コンパイラと呼ばれており、HotSpot VMもこの1つです。 バイトコードの解釈と実行 初期のJava VMはバイトコードインタプリタのみでバイトコードを実行しており、実行速度が非常に遅いという問題がありました。その後、高速化のために動的コンパイルという技術が導入され、現在のようにバイトコードインタプリタと動的コンパイラが併用されるようになりました。HotSpot VMもこの方式で動作します。 図9は
JVM Internals
This article explains the internal architecture of the Java Virtual Machine (JVM). The following diagram show the key internal components of a typical JVM that conforms to The Java Virtual Machine Specification Java SE 7 Edition. The components shown on this diagram are each explained below in two sections. First section covers the components that are created for each thread and the second section
Cassandra: tuning the JVM for read heavy workloads : Developers @ SHIFT
We recently completed a very successful round of Cassandra tuning here at SHIFT. This post will cover one of the most impactful adjustments we made, which was to the JVM garbage collection settings. I’ll be discussing how the JVM garbage collector works, how it was affecting our cluster performance, the adjustments we made, their effects, the reasoning behind them, and share the tools and techniqu
Using Intel Performance Counters To Tune Garbage Collection - JVM Advent
December 5, 2013 Using Intel Performance Counters To Tune Garbage Collection Introduction I have to admit that I was shocked. Indeed, quite shaken when I realised this advent calendar post would be about garbage collection. The topic of GC has raised such passion amongst the advocates of Java and those who believe memory management should be manual. Many an article has been written regarding tiny
DebuggingJavaPerformance.ppt
Debugging Java performance problems Ryan Matteson matty91@gmail.com http://prefetch.net Overview • Tonight I am going to discuss Java performance, and how opensource tools can be used to debug performance problems on production servers • I plan to split my 60-minutes into three parts: – Part 1 will provide an overview of the tools – Part 2 will show these tools in action – Part 3 will be a Q&A per
Java Garbage Collection Distilled
Serial, Parallel, Concurrent, CMS, G1, Young Gen, New Gen, Old Gen, Perm Gen, Eden, Tenured, Survivor Spaces, Safepoints, and the hundreds of JVM startup flags. Does this all baffle you when trying to tune the garbage collector while trying to get the required throughput and latency from your Java application? If it does then do not worry, you are not alone. Documentation describing garbage collec
Java アプリケーション脆弱性事例解説資料
2014 2013 セキュアコーディングを学ぶための教材として活用していただくことを目的として、Java 言語で書かれたアプリケーションの脆弱性事例に関する解説資料を公開しています。 セキュアな Java アプリケーションの開発を目指すには、すでに知られている脆弱性の具体例を理解し、それを反面教師として同じ失敗を繰り返さないようにすることが重要です。 Java言語によるセキュアなプログラムを開発するためのコーディング規約「Java セキュアコーディングスタンダード CERT/Oracle版」や、Javaセキュアコーディングセミナー資料とともに、本資料を自習や勉強会などの参考資料としてご活用ください。 2014 公開日 タイトル PDF PGP 署名
Java Core | Understanding the Disruptor: a Beginner's Guide to Hardcore Concurrency | Trisha Gee & Mike Barker
Java Core | Understanding the Disruptor: a Beginner's Guide to Hardcore Concurrency | Trisha Gee & Mike BarkerAI-enhanced description The document discusses the complexities of concurrency in programming, particularly how performance can be affected by different methods of managing shared data. It emphasizes the importance of understanding program order, contention costs, and various implementatio
他の言語を学んで自由になろう
1 kazu@iij.ad.jp 2 3 Paul Graham 4 Andrew Hunt and David Thomas 5 6 Java 7 Java Java Java 3 8 Haskell Scala Scala 9 10 Java Java Dean Wampler AWT ActionListener public interface ActionListener extends EventListener { public void actionPerformed(ActionEvent e); } 11 AWT ActionListener import java.awt.*; import java.awt.event.*; class ButtonApp { private final Button button = new Button(); public Bu
The Principles of Java Application Performance Tuning | CUBRID blog
This is the fifth article in the series of "Become a Java GC Expert". In the first issue Understanding Java Garbage Collection we have learned about the processes for different GC algorithms, about how GC works, what Young and Old Generation is, what you should know about the 5 types of GC in the new JDK 7, and what the performance implications are for each of these GC types. In the second article
How to improve JPA performance by 1,825%
The Java Persistence API (JPA) provides a rich persistence architecture. JPA hides much of the low level dull-drum of database access, freeing the application developer from worrying about the database, and allowing them to concentrate on developing the application. However, this abstraction can lead to poor performance, if the application programmer does not consider how their implementation affe
Hello, JIT World: The Joy of Simple JITs
This is a demonstration of how simple and enjoyable small JITs (just-in-time compilers) can be. The word “JIT” tends to invoke an image of deepest wizardry, something that only teams of the most hard-core compiler guys would ever dream of creating. It makes you think of the JVM or .NET, very large runtimes with hundreds of thousands of lines of code. You never see “Hello, World!” sized programs fo
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http://blog.griddynamics.com/2010/01/java-tricks-reducing-memory-consumption.html
Grid Dynamics Blog
The Top 100 Java Libraries in 2018 - Based on 277,975 Source Files | OverOps Blog
http://c2.com/cgi/wiki?ImmutableObjectsAndGarbageCollection
Why does my Java process consume more memory than Xmx? – Plumbr – User Experience & Application Performance Monitoring
