Jemalloc can help debug memory leaks in ATS plugins. It provides memory profiling by sampling memory allocations and dumping profiles to files. These profiles can then be viewed as gifs to analyze the call graph. The author provides two case studies where jemalloc helped identify leaks - a leak over months in ATS fronting APIs, and a 12 hour leak from a bug in their Brotli plugin. Jemalloc also improved ATS scalability by addressing issues with memory operations and plugins stressing the CPU to higher utilization.
LINE DEVELOPER DAY 2017 A-6
"I will provide the latest information on the HBase engineering going on in the LINE messaging service.
I will also be discussing case studies such as on how we upgraded from HBase 0.90.6 to 1.2.5 without any interruption in service and how we have utilized new HBase features."
Delivered as plenary at USENIX LISA 2013. video here: https://www.youtube.com/watch?v=nZfNehCzGdw and https://www.usenix.org/conference/lisa13/technical-sessions/plenary/gregg . "How did we ever analyze performance before Flame Graphs?" This new visualization invented by Brendan can help you quickly understand application and kernel performance, especially CPU usage, where stacks (call graphs) can be sampled and then visualized as an interactive flame graph. Flame Graphs are now used for a growing variety of targets: for applications and kernels on Linux, SmartOS, Mac OS X, and Windows; for languages including C, C++, node.js, ruby, and Lua; and in WebKit Web Inspector. This talk will explain them and provide use cases and new visualizations for other event types, including I/O, memory usage, and latency.
Jemalloc can help debug memory leaks in ATS plugins. It provides memory profiling by sampling memory allocations and dumping profiles to files. These profiles can then be viewed as gifs to analyze the call graph. The author provides two case studies where jemalloc helped identify leaks - a leak over months in ATS fronting APIs, and a 12 hour leak from a bug in their Brotli plugin. Jemalloc also improved ATS scalability by addressing issues with memory operations and plugins stressing the CPU to higher utilization.
LINE DEVELOPER DAY 2017 A-6
"I will provide the latest information on the HBase engineering going on in the LINE messaging service.
I will also be discussing case studies such as on how we upgraded from HBase 0.90.6 to 1.2.5 without any interruption in service and how we have utilized new HBase features."
Delivered as plenary at USENIX LISA 2013. video here: https://www.youtube.com/watch?v=nZfNehCzGdw and https://www.usenix.org/conference/lisa13/technical-sessions/plenary/gregg . "How did we ever analyze performance before Flame Graphs?" This new visualization invented by Brendan can help you quickly understand application and kernel performance, especially CPU usage, where stacks (call graphs) can be sampled and then visualized as an interactive flame graph. Flame Graphs are now used for a growing variety of targets: for applications and kernels on Linux, SmartOS, Mac OS X, and Windows; for languages including C, C++, node.js, ruby, and Lua; and in WebKit Web Inspector. This talk will explain them and provide use cases and new visualizations for other event types, including I/O, memory usage, and latency.
.NET을 처음 접한 프로그래머가 P2P 네트워킹 기능을 구현하면서 마주쳤던 문제와 해결 방법등 개발 경험 전반에 걸쳐서 이야기 해 보려 합니다. 또한 C# 8.0에 추가되는 비동기 스트림을 미리 써볼 수 있는 AsyncEnumerable과 비동기 잠금(lock) 등의 편리한 기능을 갖춘 AsyncEx등의 라이브러리들도 소개합니다.
The document summarizes the use of LLVM for code generation when recompiling Nintendo games as native games. LLVM provides a full compiler infrastructure that can be used to generate code for various platforms from a common intermediate representation (LLVM bitcode). The document discusses using LLVM for code generation from 6502 assembly to generate native code for emulation. Optimizations available through LLVM are also discussed.
오딘: 발할라 라이징 MMORPG의 성능 최적화 사례 공유 [카카오게임즈 - 레벨 300] - 발표자: 김문권, 팀장, 라이온하트 스튜디오...Amazon Web Services Korea
서비스 런칭을 위해 라이온하트와 카카오게임즈가 어떻게 최적 성능의 인스턴스를 선택하고, Windows 운영 체제를 최적화하며, 왜 Amazon Aurora를 기본 데이터베이스로 채택하였는지를 설명합니다. 또한, 출시부터 운영까지의 과정에서 MMORPG가 어떻게 AWS 상에서 설계되고, 게임 서버 성능을 극대할 수 있었는지에 대해 전달해드립니다.
Introduce Brainf*ck, another Turing complete programming language. Then, try to implement the following from scratch: Interpreter, Compiler [x86_64 and ARM], and JIT Compiler.
Getting started with MariaDB with DockerMariaDB plc
This document discusses using MariaDB and Docker together from development to production. It begins by outlining the benefits of containers and Docker for database deployments. Requirements for databases in containers like data redundancy, self-discovery, self-healing and application tier discovery are discussed. An overview of MariaDB and how it meets these requirements with Galera cluster and MaxScale is provided. The document then demonstrates how to develop and deploy a Python/Flask app with MariaDB from development to a Docker Swarm production cluster behind HAProxy, including scaling the web tier and implementing a hardened database tier with Galera cluster and MaxScale behind secrets. Considerations around storage, networking and upgrades are discussed.
A hands-on introduction to the ELF Object file formatrety61
In our 6th semester we developed miASMa - a 2 pass Macro Assembler for an x86 machine. miASMa generates Relocatable Object Files that conforming to the ELF Format.
.NET을 처음 접한 프로그래머가 P2P 네트워킹 기능을 구현하면서 마주쳤던 문제와 해결 방법등 개발 경험 전반에 걸쳐서 이야기 해 보려 합니다. 또한 C# 8.0에 추가되는 비동기 스트림을 미리 써볼 수 있는 AsyncEnumerable과 비동기 잠금(lock) 등의 편리한 기능을 갖춘 AsyncEx등의 라이브러리들도 소개합니다.
The document summarizes the use of LLVM for code generation when recompiling Nintendo games as native games. LLVM provides a full compiler infrastructure that can be used to generate code for various platforms from a common intermediate representation (LLVM bitcode). The document discusses using LLVM for code generation from 6502 assembly to generate native code for emulation. Optimizations available through LLVM are also discussed.
오딘: 발할라 라이징 MMORPG의 성능 최적화 사례 공유 [카카오게임즈 - 레벨 300] - 발표자: 김문권, 팀장, 라이온하트 스튜디오...Amazon Web Services Korea
서비스 런칭을 위해 라이온하트와 카카오게임즈가 어떻게 최적 성능의 인스턴스를 선택하고, Windows 운영 체제를 최적화하며, 왜 Amazon Aurora를 기본 데이터베이스로 채택하였는지를 설명합니다. 또한, 출시부터 운영까지의 과정에서 MMORPG가 어떻게 AWS 상에서 설계되고, 게임 서버 성능을 극대할 수 있었는지에 대해 전달해드립니다.
Introduce Brainf*ck, another Turing complete programming language. Then, try to implement the following from scratch: Interpreter, Compiler [x86_64 and ARM], and JIT Compiler.
Getting started with MariaDB with DockerMariaDB plc
This document discusses using MariaDB and Docker together from development to production. It begins by outlining the benefits of containers and Docker for database deployments. Requirements for databases in containers like data redundancy, self-discovery, self-healing and application tier discovery are discussed. An overview of MariaDB and how it meets these requirements with Galera cluster and MaxScale is provided. The document then demonstrates how to develop and deploy a Python/Flask app with MariaDB from development to a Docker Swarm production cluster behind HAProxy, including scaling the web tier and implementing a hardened database tier with Galera cluster and MaxScale behind secrets. Considerations around storage, networking and upgrades are discussed.
A hands-on introduction to the ELF Object file formatrety61
In our 6th semester we developed miASMa - a 2 pass Macro Assembler for an x86 machine. miASMa generates Relocatable Object Files that conforming to the ELF Format.
Andrew Betts Web Developer, The Financial Times at Fastly Altitude 2016
Running custom code at the Edge using a standard language is one of the biggest advantages of working with Fastly’s CDN. Andrew gives you a tour of all the problems the Financial Times and Nikkei solve in VCL and how their solutions work.
The document discusses Java programming and transactions. It describes reading transaction data from a CSV file, parsing the data into Transaction objects, and summarizing the transaction amounts. It covers improvements such as using generics, try-with-resources for file handling, LocalDate instead of Date, and various Java features between versions.
The document discusses Spring configuration and Java-based configuration. It covers topics like using @Configuration classes to define beans, @ComponentScan to find beans, @Bean to define beans, and using Java configuration as an alternative to XML configuration in Spring. It also provides examples of configuring ViewResolvers, controllers and enabling Spring MVC features with annotations like @EnableWebMvc.
33. Changin Depr. In JDK
● add @Deprecated to constructors for boxed primitives (Boolean, Integer, etc.) (JDK-8145468)
● add @Deprecated(forRemoval=true) to the Runtime.traceInstructions and Runtime.traceMethodCalls
methods (JDK-8153330)
● add @Deprecated to various java.applet and related classes (JEP 289)
● add @Deprecated to java.util.Observable and Observer (JDK-8154801)
● add @Deprecated(forRemoval=true) to various superseded security APIs, including java.security.acl (JDK-
8157847), javax.security.cert and com.sun.net.ssl (JDK-8157712), java.security.Certificate (JDK-8157707),
and javax.security.auth.Policy (JDK-8157848)
● add @Deprecated to "legacy collection" implementations Dictionary, Enumeration, Hashtable, Stack, and
Vector (JDK-8145469)
● add @Deprecated to java.util.Timer and TimerTask (JDK-8154799)
● add @Deprecated to the Optional.get method (JDK-8160606)
● add @Deprecated to java.util.Date, Calendar, and related classes (JDK-8164898)
● add @Deprecated to java.lang.Compiler (JDK-4285505)
● add @Deprecated to the java.corba module
● modify already-deprecated methods Thread.destroy(), Thread.stop(Throwable), Thread.countStackFrames(),
System.runFinalizersOnExit(), and various disused Runtime and SecurityManager methods to have
@Deprecated(forRemoval=true) (JDK-8145468)
● remove @Deprecated from java.awt.Component.show and hide
34. 警告のルールも変わる!
| API declaration site
use site | not dep. forRemoval
context | false true
+----------------------------------
not dep. | 警告 警告
forRemoval=false | 警告
forRemoval=true | 警告