High Performance Go Workshop
The goal for this workshop is to give you the tools you need to diagnose performance problems in your Go applications and fix them. Through the day we’ll work from the small — learning how to write benchmarks, then profiling a small piece of code. Then step out and talk about the execution tracer, the garbage collector and tracing running applications. The remainder of the day will be a chance for
Getting started with Go CPU and memory profiling
Getting started with Go CPU and memory profiling The Go ecosystem provides a very easy way to profile your applications. I’ll explain profiling using a package by Dave Cheney which makes programs very easy to debug, by adding a one-liner to our main(). All you need to get started is follow these X easy steps. CPU Profiling Step #1: download github.com/pkg/profile Can’t be simpler than running go g
Continuous Profiling of Go programs
One of the most interesting parts of Google is our fleet-wide continuous profiling service. We can see who is accountable for CPU and memory usage, we can continuously monitor our production services for contention and blocking profiles, and we can generate analysis and reports and easily can tell what are some highly impactful optimization projects we can work on. I briefly worked on Google Cloud
OpenJDK＋SystemTapã§ãƒˆãƒ©ãƒ–ル解æžã¯ã“ã“ã¾ã§ã§ãã‚‹ï¼
Javaã§ãƒ‡ãƒãƒƒã‚°ã—ã«ãã„3ã¤ã®å ´é¢ Javaアプリケーションã§æ§‹ç¯‰ã•ã‚ŒãŸã‚·ã‚¹ãƒ†ãƒ ã®éšœå®³ã‚„性能å•é¡ŒãŒç™ºç”Ÿã—ãŸå ´åˆã€å¤§åŠã¯ãƒ‡ãƒãƒƒã‚¬ã‚„プãƒãƒ•ã‚¡ã‚¤ãƒ©ã€ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ã‚„サードパーティãŒæä¾›ã™ã‚‹ãƒ„ールを用ã„ã‚‹ã“ã¨ã§è§£æžã§ãã¦ã—ã¾ã„ã¾ã™ã€‚ ã—ã‹ã—ã€ä»¥ä¸‹ã®ã‚ˆã†ãªçŠ¶æ³ã§ã¯Javaã®ä¸–ç•Œã‹ã‚‰ã®ã‚¢ãƒ—ãƒãƒ¼ãƒãŒã—ã«ããã€é€šå¸¸ã®ãƒ‡ãƒãƒƒã‚°ãƒŽã‚¦ãƒã‚¦ãŒä½¿ãˆãªã„ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ プãƒã‚»ã‚¹å†èµ·å‹•ãŒè¨±ã•ã‚Œãªã„システムã§ã®æƒ…å ±å–å¾—ãŒã—ãŸã„ã¨ã 本番環境ã§ã—ã‹ç™ºç”Ÿã›ãšã€ãƒ†ã‚¹ãƒˆç’°å¢ƒã§ãƒ‡ãƒãƒƒã‚°ã§ããªã„å•é¡Œã®å ´åˆ GC（ガベージ・コレクション）ãƒã‚°ï¼ˆ-Xloggcãªã©ï¼‰ã®ã‚ˆã†ã«ã€javaコマンド起動オプションを与ãˆãªã‘ã‚Œã°å–å¾—ã§ããªã„æƒ…å ±ãŒå¿…è¦ãªå ´åˆ ソース変更ãŒè¨±ã•ã‚Œãªã„å ´åˆã«ã€ç‰¹å®šçŠ¶æ³ä¸‹ã®æƒ…å ±ã‚’å–å¾—ã—ãŸã„ã¨ã ã‚る特定ã®ãƒ¡ã‚½ãƒƒãƒ‰ãªã©ãŒå®Ÿè¡Œã•ã‚ŒãŸçž¬é–“ã®ã‚¹ãƒ¬ãƒƒãƒ‰ãƒ€ãƒ³ãƒ—やスタックトレースãªã©ãŒå¿…è¦ãªå ´åˆ ソースã®å¤‰æ›´ãŒã§ããªã„ã€ç’°å¢ƒã®åˆ¶ç´„ãª
New zine: Linux debugging tools you'll love
September 7, 2016 HELLO FRIENDS. I am announcing this everywhere because I’m very excited about it. I released a new zine today! Read it here! Read all my zine things at wizardzines.com! This zine is about some of my favorite Linux debugging tools, especially tools that I don’t think are as well-known as they should be. It covers strace, opensnoop/eBPF, and dstat! netcat, netstat, tcpdump, wiresha
Python: line_profiler ã§ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã‚’調ã¹ã‚‹ - CUBE SUGAR CONTAINER
å‰å›žã¯ Python ã®æ¨™æº–ライブラリã«ç”¨æ„ã•ã‚Œã¦ã„るプãƒãƒ•ã‚¡ã‚¤ãƒ©ã® profile/cProfile モジュールã«ã¤ã„ã¦æ›¸ã„ãŸã€‚ blog.amedama.jp 今回ã¯ã€åŒã˜æ±ºå®šè«–的プãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã‚’採用ã—ãŸãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã®ä¸ã§ã‚‚ã€ã‚µãƒ¼ãƒ‰ãƒ‘ーティ製㮠line_profiler を使ã£ã¦ã¿ã‚‹ã“ã¨ã«ã™ã‚‹ã€‚ line_profiler 㯠profile/cProfile モジュールã«æ¯”ã¹ã‚‹ã¨ã‚³ãƒ¼ãƒ‰å˜ä½ã§ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ãŒå–れるã¨ã“ã‚ãŒé…力的ãªãƒ‘ッケージ。 ã¾ãŸã€ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ãƒ¼ã‚¹ã«ã¤ã„ã¦ã‚‚ profile/cProfile ã«è¿‘ã„ã‚‚ã®ã¨ãªã£ã¦ã„る。 今回使ã£ãŸç’°å¢ƒã¯æ¬¡ã®é€šã‚Šã€‚ $ sw_vers ProductName: Mac OS X ProductVersion: 10.11.6 BuildVersion: 15G31 $ python --version Python 3.5.2 イン
Python: profile/cProfile モジュールã§ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã‚’調ã¹ã‚‹ - CUBE SUGAR CONTAINER
プãƒã‚°ãƒ©ãƒ を作ã£ã¦ã¿ãŸã¯è‰¯ã„ã‘ã‚Œã©ã€æƒ³å®šã—ã¦ã„ãŸã‚ˆã‚Šã‚‚パフォーマンスãŒå‡ºãªã„ã¨ã„ã†äº‹æ…‹ã¯ã‚ˆãã‚る。 ãã‚“ãªã¨ãã¯ãƒ‘フォーマンス・ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã‚’ã™ã‚‹ã‚ã‘ã ã‘ã©ã€ãã‚Œã«ã¯ã¾ãšæ¸¬å®šãŒå¿…è¦ã«ãªã‚‹ã€‚ 具体的ã«ä½•ã‚’測定ã™ã‚‹ã‹ã¨ã„ã†ã¨ã€ãƒ—ãƒã‚°ãƒ©ãƒ ã®ä¸ã®ã©ã“ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã£ã¦ã„ã‚‹ã‹ã¨ã„ã†ç‚¹ã 。 ã“ã®æ¸¬å®šã®ä½œæ¥ã¯ä¸€èˆ¬ã«ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã¨å‘¼ã°ã‚Œã‚‹ã€‚ プãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã«ã¯ãµãŸã¤ã®ç¨®é¡žãŒã‚る。 ã²ã¨ã¤ç›®ã¯ä»Šå›žç´¹ä»‹ã™ã‚‹ profile/cProfile モジュールãŒæŽ¡ç”¨ã—ã¦ã„る決定論的プãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã€‚ ãã—ã¦ã€ã‚‚ã†ã²ã¨ã¤ãŒçµ±è¨ˆçš„プãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã 。 決定論的プãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã§ã¯ã€ãƒ—ãƒã‚°ãƒ©ãƒ ãŒå®Ÿè¡Œã•ã‚Œã¦ã„ãéŽç¨‹ã‚’é€ä¸€è¨˜éŒ²ã—ã¦ã„ã。 ãã®ãŸã‚ã€æ™‚é–“ã®ã‹ã‹ã£ã¦ã„る処ç†ã‚’æ£ç¢ºã«æŠŠæ¡ã™ã‚‹ã“ã¨ãŒã§ãる。 ãŸã ã—ã€æ¸¬å®šè‡ªä½“ãŒãƒ—ãƒã‚°ãƒ©ãƒ ã«ä¸Žãˆã‚‹å½±éŸ¿ (プãƒãƒ¼ãƒ–・エフェクト) も大ãããªã‚‹ã€‚ ãã‚Œã«å¯¾ã—統計的プãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã§
Devel::NYTProf 㧠Starlet/Starman (Plack) ã§ã†ã”ãウェブアプリケーションã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã‚’ãŠã“ãªã†æ–¹æ³•ã¾ã¨ã‚ - tokuhirom's blog
Devel::NYTProf 㧠Starlet/Starman (Plack) ã§ã†ã”ãウェブアプリケーションã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã‚’ãŠã“ãªã†æ–¹æ³•ã¾ã¨ã‚ Devel::NYTProf 㯠Perl5 ã®ä¸–ç•Œã§ã‚‚ã£ã¨ã‚‚人気ãŒã‚るプãƒãƒ•ã‚¡ã‚¤ãƒ©ã§ã‚る。表示ãŒç¾Žéº—ã§ã‚ã‚‹ã—ã€ã‚¹ãƒ†ãƒƒãƒ—ã”ã¨ã®å‡¦ç†é€Ÿåº¦ãŒç°¡å˜ã«ã‚ã‹ã‚‹ã®ã§ã¨ã¦ã‚‚便利ã 。 ãん㪠Devel::NYTProf ã§ã‚ã‚‹ãŒã€Starlet/Starman ã®ã‚ˆã†ãªãƒ—リフォークå¼ã®ã‚µãƒ¼ãƒãƒ¼ã§ã†ã”ãウェブアプリケーションã¨ãã¿ã‚ã‚ã›ã‚‹å ´åˆã®æ–¹æ³•è«–ã¨ã—ã¦ã€ã‚ã‹ã‚Šã‚„ã™ã„資料ãŒã¿ã‚ãŸã‚‰ãªã‹ã£ãŸã®ã§ã“ã“ã«è¨˜ã™ã‚‚ã®ã§ã‚る。 環境変数 NYTPROF ã‚’è¨å®šã™ã‚‹ Devel::NYTProf ã¯ç’°å¢ƒå¤‰æ•°ã§æŒ™å‹•ã‚’変ãˆã‚‰ã‚Œã‚‹ã€‚ plack ã¨ãã¿ã‚ã‚ã›ã‚‹å ´åˆã«ã¯ã€ä»¥ä¸‹ã®ã‚ˆã†ã«ã™ã‚‹ã¨ã‚ˆã„。 NYTPROF=sigexit=int:savesrc=0:start=no s
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GitHub - jvm-profiling-tools/perf-map-agent: A java agent to generate method mappings to use with the linux `perf` tool
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