Introducing On-demand Java & JVM Profiling - Sematext
If you are running apps on top of JVM and want to be able to profile them in production, on-demand, without affecting your app’s performance and users, read on!  Screenshots, features, and other juicy stuff are further down. Do you run any apps on the JVM?  How do you find bottlenecks in your apps once they are in production, so you can optimize them?  If they become slow, how do you find which pa
Java Memory Architecture Cheat Sheet
The diagram below is the Java Memory Model for the Heap as well as the PermGen for any Java Application running in the Java Virtual Machine (JVM). The ratios are also provided to get a fair understanding of how the distribution of allowed memory is done across each of the generation types. All of the info is completely applicable up to Java 1.7 (inclusive). This diagram is also known as the 'Manag
Cannot create JVM with -XX:+UseLargePages enabled
I have a Java service that currently runs with a 14GB heap. I am keen to try out the -XX:+UseLargePages option to see how this might affect the performance of the system. I have configured the OS as described by Oracle using appropriate shared memory and page values (these can also be calculated with an online tool). Once the OS is configured, I can see that it allocates the expected amount of mem
JVM Deep Dive
Daniel Mitterdorfer, comSysto GmbH @dmitterd Behold! It will get scary. Topics Illusions by (J)VMs Interpreter JIT Compiler Memory Illusions Based on A JVM Does That??? Write Once, Run Anywhere One "Binary" for All Platforms Consistent Memory Model (Java Memory Model) Consistent Thread Model Bytecodes Are Fast (JITing) Infinite Heap (Garbage Collection) What "is" a JVM? The JVM is specified in The
Javaã®ã‚·ã‚¹ãƒ†ãƒ スレッドã«ã¤ã„ã¦èª¿ã¹ã¦ã¿ãŸ (Java8) - argius note
システムスレッドã«ã¤ã„ã¦ã€ã‚ã¾ã‚ŠçŸ¥ã‚‰ãªã‹ã£ãŸã®ã§ã€èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ ãれ以外ã«ã‚‚ã€APIã§ç”Ÿæˆã•ã‚Œã‚‹ã‚¹ãƒ¬ãƒƒãƒ‰ã‚„ã€ã‚¹ãƒ¬ãƒƒãƒ‰ã‚°ãƒ«ãƒ¼ãƒ—ã«ã¤ã„ã¦ã‚‚ã€å°‘ã—触れã¦ã„ã¾ã™ã€‚ ※GrepCodeã¯2018å¹´5æœˆé ƒã‹ã‚‰ã‚µãƒ¼ãƒ“スãŒåˆ©ç”¨ã§ããªããªã£ã¦ã„ã¾ã™ã€‚記事ä¸ã®ãƒªãƒ³ã‚¯ã¯GrepCodeã®ã‚‚ã®ãŒãã“ãã“多ã„ã®ã§ã€ã”注æ„ãã ã•ã„。 å‚考リンク HotSpot Runtime Overview - OpenJDK JVM Internals (JamesDBloom - Blog) Java SE 8 API仕様 GC: openjdk-8-b132.jar - GrepCode Java Project Source Mirror of OpenJDK repositories - GitHub 目次 ã¯ã˜ã‚㫠実行環境 システムスレッドã®å称ã¨ç°¡å˜ãªèª¬æ˜Ž APIを使用ã—ãŸã¨ãã®ã‚¹ãƒ¬ãƒƒãƒ‰ ãŠã‚ã‚Šã« ã¯ã˜ã‚ã« ã‚·
Sparkアプリケーションã®ãŸã‚ã®Javaガベージコレクションã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«ã¤ã„㦠- TEPPEI STUDIO
ã“ã®è¨˜äº‹ã¯ã€ã‚¤ãƒ³ãƒ†ãƒ«ã® SSG STOビッグデータテクノãƒã‚¸ãƒ¼ã‚°ãƒ«ãƒ¼ãƒ—ã®ãƒ¡ãƒ³ãƒãƒ¼ã‹ã‚‰DataBricksã«å¯„稿ã•ã‚ŒãŸãƒ–ãƒã‚°ã‚’翻訳ã—ãŸã‚‚ã®ã§ã™ã€‚誤訳ãŒã‚ã‚Šã¾ã—ãŸã‚‰ã€@teppei_tosaã«å¾¡é€£çµ¡ãã ã•ã„。 Sparkã¯ã€ãã®å„ªã‚ŒãŸæ€§èƒ½ã€ã‚·ãƒ³ãƒ—ルãªã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ã‚¤ã‚¹ã€ãŠã‚ˆã³åˆ†æžã‚„計算ã®ãŸã‚ã®è±Šå¯Œãªãƒ©ã‚¤ãƒ–ラリã«ã‚ˆã£ã¦ã€å¹…広ã„æ¥ç•Œã§æŽ¡ç”¨ã•ã‚Œã¦ãã¦ã„ã¾ã™ã€‚ビッグデータエコシステムã«ãŠã‘る多ãã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¨åŒæ§˜ã«ã€Sparkã¯ã€Java仮想マシン（JVM）上ã§å®Ÿè¡Œã•ã‚Œã¾ã™ã€‚Sparkã¯ãƒ¡ãƒ¢ãƒªã«å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã‚’æ ¼ç´ã™ã‚‹ã“ã¨ã«ãŠã„ã¦ã€Javaã®ãƒ¡ãƒ¢ãƒªç®¡ç†ã¨ã‚¬ãƒ™ãƒ¼ã‚¸ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ï¼ˆGC）ã«å¤§ããé ¼ã£ã¦ã„ã¾ã™ã€‚ã¾ãŸã€ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆTungstenãªã©ã®æ–°ãŸãªå–り組ã¿ã¯ã€å°†æ¥ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã€ãƒ¡ãƒ¢ãƒªç®¡ç†ã®ã•ã‚‰ãªã‚‹ç°¡ç´ 化ã¨æœ€é©åŒ–を目指ã—ã¦ã„ã¾ã™ã€‚ã—ã‹ã—ã€ä»Šæ—¥æ™‚点ã§ã‚‚ã€Javaã®GCオプションã¨ãƒ‘ラメータをç†è§£ã—ã¦ã„るユ
HotSpotコトãƒã‚¸ãƒ¡
- The document discusses optimizing Java performance on hardware by leveraging features like AES-NI, transparent huge pages, and compiler intrinsics. - It provides examples showing performance improvements from using these features, such as faster encryption times when enabling AES-NI and fewer TLB misses with transparent huge pages. - It also discusses Java VM options, garbage collection, and the
Native Memory Tracking in 7u40 – Marcus Hirt
Since we don’t have any nice NMT (Native Memory Tracking) MBean in HotSpot (yet), and therefore not in the JMC console, I thought I’d show how it can be done using command line arguments and JCMD. Please note that you’ll get a 5-10% performance hit if you enable this. Step 1 – Enabling NMT This is done by using the following command line: -XX:NativeMemoryTracking=[off|summary|detail] Where the dif
Dripstat
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jol(Java Object Layout)ã¨ã„ã†ã€Javaã®ã‚ªãƒ–ジェクトãŒã©ã®ã‚ˆã†ã«ãƒ¡ãƒ¢ãƒªä¸Šã«ãƒ¬ã‚¤ã‚¢ã‚¦ãƒˆã•ã‚Œã‚‹ã®ã‹ï¼Ÿã¨ã„ã†ãƒ„ールをsbtã‹ã‚‰ä¾¿åˆ©ã«ä½¿ãˆã‚‹ã‚ˆã†ã«ã™ã‚‹ - xuwei-k's blog
最近公å¼ã«openjdkã®ä¸€éƒ¨ã«ãªã£ãŸã‚‰ã—ã„？ã®ã§ã€ã¾ã ã‚ã¾ã‚Šæœ‰åã˜ã‚ƒãªã„ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ãŒã€ä»¥ä¸‹ã®ã‚ˆã†ãªä¾¿åˆ©ãƒ„ールãŒã‚ã‚‹ã®çŸ¥ã£ã¦ã¾ã™ã‹ï¼Ÿ http://openjdk.java.net/projects/code-tools/jol/ ã‚‚ã¨ã‚‚ã¨å€‹äººã§ä»¥ä¸‹ã®ãƒªãƒã‚¸ãƒˆãƒªã§é–‹ç™ºã•ã‚Œã¦ãŸã‚‰ã—ã„ã§ã™ https://github.com/shipilev/java-object-layout ã„ãã¤ã‹æ©Ÿèƒ½ãŒã‚ã‚‹ã¿ãŸã„ã§ã™ãŒã€ã¨ã‚Šã‚ãˆãšorg.openjdk.jol.info.ClassLayoutã¨ã„ã†ã®ãŒã€ãªã«ã‹å¤§é‡ã«åŒã˜ã‚¯ãƒ©ã‚¹ã®ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã‚’生æˆã™ã‚‹äºˆå®šãŒã‚ã£ã¦(ãŸã¨ãˆã°Actorã¨ã‹ï¼Ÿ) 「ãã‚Œãžã‚Œã®classã®ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ãŒã€ä½•ãƒã‚¤ãƒˆæ¶ˆè²»ã™ã‚‹ã‚“ã ã‚ã†ï¼Ÿã€ ã¨ã„ã†ã®ã‚’æ£ç¢ºã«çŸ¥ã£ã¦ã€å…¨ä½“ã®ãƒ¡ãƒ¢ãƒªæ¶ˆè²»é‡ã®äºˆæ¸¬ã«å½¹ç«‹ã¦ãŸã‚Šã™ã‚‹ã®ã«ã¨ã¦ã‚‚便利ã£ã½ã„ã§ã™ã€‚*1試ã—ã¦ãªã„ã§ã™ãŒã€åŽŸç†çš„ã«Javaã ã‚ã†ãŒS
JVM-Reading-ParalleGC
1. 並列 GC 第 5 回 JVM ソースコードリーディングã®ä¼š (OpenJDK) ä¸æ‘ 実 [email_address] [email_address] Twitter @nminoru_jp 2. OpenJDK ã® GC ã®ç¨®é¡ž åŒä¸Š GenCollectedHeap -Xincgc ( コンカレント GC ã« -XX:+CMSIncrementalMode ã‚’ã¤ã‘ãŸã‚‚ã® ) インクリメンタル GC G1CollectedHeap -XX:+UseG1GC G1GC ParNewGeneration ConcurrentMarkSweep GenCollectedHeap -XX:+UseConcMarkSweepGC コンカレント GC ParallelScavengeHeap -XX:+UseParallelGC 並列 GC ParNewGeneration Tenured
Jvm internal
2. Java 8 HotSpotMeeting 自己紹介 COPYRIGHT 2014 PLUGRAM, INC. @tan_go238 PLUGRAM, Inc. 14å¹´10月23日木曜日2 3. Java 8 HotSpotMeeting ã‚‚ã㘠・コマンドライン引数 ・OOPã¨ã‹ ・Object Locking ・Compressed OOP ・Java8ã§ã®å¤‰æ›´ç‚¹ COPYRIGHT 2014 PLUGRAM, INC. 14å¹´10月23日木曜日3
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GitHub - ajermakovics/jvm-mon: Console-based JVM monitoring tool
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GitHub - aragozin/jvm-tools: Small set of tools for JVM troublshooting, monitoring and profiling.
Application Performance Monitoring | Splunk
15 Tools Java Developers Should Use After a Major Release
Java 8 ã®ãƒ’ープモニタリング
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