Thread Dump Analysis
•
6 likes•8,319 views
The document discusses various issues that can occur in multi-threaded applications and how thread dumps can help identify and diagnose them. It describes problems that can arise from I/O blocking, inefficient algorithms, lock contention, deadlocks, and non-thread-safe code. It provides examples like a HashMap causing 100% CPU usage. It also covers thread dump formats, tools for analyzing thread dumps, and questions that thread dumps may help answer about sporadic application behavior and performance problems.
Report
Share
Report
Share
Download to read offline
Recommended
Heap & thread dump
This document discusses thread dumps, heap dumps, and best practices for generating and analyzing them. It defines a thread dump as a snapshot of all Java threads with information like name, state, and ID. A heap dump snapshots the Java heap showing object references and usage. The document recommends generating thread/heap dumps when full GC is frequent, memory isn't being reclaimed, or response times decrease. It provides commands to generate dumps and JVM options for tuning garbage collection and heap size. Finally, it includes links for further reading on Java memory management and performance tuning.
Inside the jvm
This document discusses the structure and components of the Java Virtual Machine (JVM). It describes the key elements of the JVM including class files, bytecode, interpreters, memory areas like the Java stack, heap, and method area. It also discusses threads in the JVM, their states, and how thread dumps can be obtained. Garbage collection techniques like serial GC, parallel GC, CMS, and G1GC are covered. Out of memory errors and how to generate heap dumps are also summarized.
Java Heap Dump Analysis Primer
This document provides an overview of tools and techniques for analyzing Java heap dumps. It discusses how to generate heap dumps using Ctrl-Break, XX:+HeapDumpOnOutOfMemoryError, or jmap. Jmap can also provide heap summaries. JHat allows analyzing heap dumps visually. Eclipse MAT and JConsole can also analyze heap dumps. Jstack prints stack traces, and can detect deadlocks. Sample code shows how to generate heap dumps and cause deadlocks.
Java troubleshooting thread dump
This document discusses thread analysis and provides information on common thread problems, thread types, and how to analyze thread dumps. Some key points:
- Common thread problems include app servers freezing, becoming unresponsive, crashing, or having high CPU usage. GC thrashing, slow performance, and hung threads are also issues.
- A thread dump shows the state, stack trace and other details of active threads in the JVM. This can help identify problems like infinite loops, blocking/contention, or heavy GC.
- Thread contention occurs when one thread waits for a lock held by another. Deadlock is a special form where threads are cyclically waiting on each other.
- Analyzing thread dumps involves
Tomcat and apache httpd training
Verify Tomcat is running
ps -ef | grep tomcat
●
Stopping Tomcat
./shutdown.sh
antislashn.org
Tomcat and Apache httpd - Installation
7 / 16
Installing Apache httpd
●
Download Apache httpd
●
http://httpd.apache.org/download.cgi
●
select the source code or binary package
●
for CentOS, use yum to install httpd
yum install httpd
antislashn.org
Tomcat and Apache httpd - Installation
8 / 16
Installing Apache httpd
●
Start httpd service
service httpd start
WebLogic FAQs
WebLogic FAQs provide answers to common questions about Oracle WebLogic Server. The document includes questions about what WebLogic Server is, its basic components like domains and managed servers, how administration servers and managed servers interact, and how to configure and use WebLogic Server clusters. Additional questions cover topics like multicast and unicast communication, development versus production modes, and how to start and stop WebLogic Server instances.
Cypress Testing.pptx
Cypress is a testing tool that allows front-end developers and test engineers to automate their tests following the flow in which a user might use the application.
Providing the interface of the browser along with dev console and network requests, it makes the life of a tester much simpler.
Recommended
Heap & thread dump
This document discusses thread dumps, heap dumps, and best practices for generating and analyzing them. It defines a thread dump as a snapshot of all Java threads with information like name, state, and ID. A heap dump snapshots the Java heap showing object references and usage. The document recommends generating thread/heap dumps when full GC is frequent, memory isn't being reclaimed, or response times decrease. It provides commands to generate dumps and JVM options for tuning garbage collection and heap size. Finally, it includes links for further reading on Java memory management and performance tuning.
Inside the jvm
This document discusses the structure and components of the Java Virtual Machine (JVM). It describes the key elements of the JVM including class files, bytecode, interpreters, memory areas like the Java stack, heap, and method area. It also discusses threads in the JVM, their states, and how thread dumps can be obtained. Garbage collection techniques like serial GC, parallel GC, CMS, and G1GC are covered. Out of memory errors and how to generate heap dumps are also summarized.
Java Heap Dump Analysis Primer
This document provides an overview of tools and techniques for analyzing Java heap dumps. It discusses how to generate heap dumps using Ctrl-Break, XX:+HeapDumpOnOutOfMemoryError, or jmap. Jmap can also provide heap summaries. JHat allows analyzing heap dumps visually. Eclipse MAT and JConsole can also analyze heap dumps. Jstack prints stack traces, and can detect deadlocks. Sample code shows how to generate heap dumps and cause deadlocks.
Java troubleshooting thread dump
This document discusses thread analysis and provides information on common thread problems, thread types, and how to analyze thread dumps. Some key points:
- Common thread problems include app servers freezing, becoming unresponsive, crashing, or having high CPU usage. GC thrashing, slow performance, and hung threads are also issues.
- A thread dump shows the state, stack trace and other details of active threads in the JVM. This can help identify problems like infinite loops, blocking/contention, or heavy GC.
- Thread contention occurs when one thread waits for a lock held by another. Deadlock is a special form where threads are cyclically waiting on each other.
- Analyzing thread dumps involves
Tomcat and apache httpd training
Verify Tomcat is running
ps -ef | grep tomcat
●
Stopping Tomcat
./shutdown.sh
antislashn.org
Tomcat and Apache httpd - Installation
7 / 16
Installing Apache httpd
●
Download Apache httpd
●
http://httpd.apache.org/download.cgi
●
select the source code or binary package
●
for CentOS, use yum to install httpd
yum install httpd
antislashn.org
Tomcat and Apache httpd - Installation
8 / 16
Installing Apache httpd
●
Start httpd service
service httpd start
WebLogic FAQs
WebLogic FAQs provide answers to common questions about Oracle WebLogic Server. The document includes questions about what WebLogic Server is, its basic components like domains and managed servers, how administration servers and managed servers interact, and how to configure and use WebLogic Server clusters. Additional questions cover topics like multicast and unicast communication, development versus production modes, and how to start and stop WebLogic Server instances.
Cypress Testing.pptx
Cypress is a testing tool that allows front-end developers and test engineers to automate their tests following the flow in which a user might use the application.
Providing the interface of the browser along with dev console and network requests, it makes the life of a tester much simpler.
Graylog for open stack 3 steps to know why
1. Graylog is log management software that can be used to collect and analyze logs from OpenStack. It provides centralized log management.
2. With hundreds of log files generating tens of gigabytes of logs daily across OpenStack controllers and compute nodes, effective log management is needed. Graylog can collect logs from all OpenStack services and components.
3. Using Graylog for OpenStack involves 3 simple steps - collecting logs from OpenStack services, analyzing the logs in Graylog, and using log information to understand and resolve issues. This allows incidents to be responded to quickly by finding the root cause in the logs.
Troubleshooting Tools In JDK
The document discusses various monitoring and troubleshooting tools available in the JDK 'bin' folder. It summarizes the key tools like jconsole for monitoring Java applications, jcmd for sending diagnostic commands, jmap for creating heap dumps, and jstack for thread stack traces. It also discusses tools that have been removed from newer JDK versions like Java VisualVM and jhat.
Formation Spring Avancé gratuite par Ippon 2014
Spring est le principal framework de développement Java utilisé en entreprise. Ce succès tient au fait qu'il permet de développer facilement et rapidement des applications robustes, légères et bien testées.
Apprécié également par les cellules d'architecture et les DSI, Spring permet d'avoir des applications bien découpées en couches, facilement maintenables et évolutives.
Cependant, si une configuration Spring simple est à la portée de tous, avoir une architecture Spring correcte, en comprendre le fonctionnement interne et connaître les fonctionnalités avancées du framework sont des tâches nettement plus ardues.
L'objectif de cette formation est de donner les bonnes bases pour comprendre les principaux aspects de Spring, de manière à ce que les participants soient capables de :
- Développer une application Spring complète (persistance, métier, validation, transactions, sécurité, Web, Ajax...).
- Comprendre le fonctionnement interne de Spring et donc être autonomes lorsqu'un bug ou une situation anormale se produit.
- Avoir intégré la philosophie de développement Spring, afin de pouvoir facilement prendre en main un sous-projet ou une fonctionnalité Spring qu'ils ne connaissent pas encore.
Spring Boot
This document provides an overview of Spring Boot and some of its key features. It discusses the origins and modules of Spring, how Spring Boot simplifies configuration and dependency management. It then covers examples of building Spring Boot applications that connect to a SQL database, use RabbitMQ for messaging, and schedule and run asynchronous tasks.
Performance Tuning - Memory leaks, Thread deadlocks, JDK tools
How to identify memory leaks in java applications, thread contentions, using jdk in built tools to identify performance bottlenecks
Spring boot
This document contains an agenda and slides for a presentation on Spring Boot. The presentation introduces Spring Boot, which allows developers to rapidly build production-grade Spring applications with minimal configuration. It demonstrates how to quickly create a "Hello World" application using Spring Boot and discusses some of the features it provides out-of-the-box like embedded servers and externalized configuration. The presentation also shows how to add additional functionality like Thymeleaf templates and actuator endpoints to monitor and manage applications.
Zabbix 3.2 presentation June 2017
Zabbix is enterprise open source monitoring software for networks and applications, created by Alexei Vladishev. It is designed to monitor and track the status of various network services, servers, and other network hardware. Zabbix uses MySQL, PostgreSQL, SQLite, Oracle or IBM DB2 to store data.
Zabbix
Zabbix is an open source network monitoring software that allows users to monitor networks, servers and other network hardware and services. It works by having Zabbix agents installed on devices that report data to a central Zabbix server. The server then stores and analyzes the data to trigger alerts if issues arise. Key features include autodiscovery of devices, low-level discovery, agent-less monitoring, flexible notifications and dashboard visualizations. It provides an architecture with a server, agents and proxies to distribute the monitoring load across a network.
Multithreading in-java
This document discusses multithreading in Java. It begins by defining a process as a program in execution that may contain multiple concurrently executing threads. It then defines a thread as the smallest unit of processing that can run independently within a process. The document goes on to compare threads and processes, discuss how to create multithreads in Java by extending the Thread class or implementing the Runnable interface, provide examples of multithreading code, and list advantages of multithreading like enabling multiple concurrent tasks and improved performance.
Spring Boot
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based applications that you can "just run". It allows you to create stand-alone applications, embed Tomcat/Jetty directly with no need to deploy WAR files, and provides starter POMs to simplify configuration. Spring Boot applications are run by adding a spring-boot-gradle-plugin and can then be run as an executable JAR. Features include REST endpoints, security, external configuration, and production monitoring via Actuators.
[오픈소스컨설팅] 아파치톰캣 운영가이드 v1.3
Apache Tomcat 설치, 환경 구성, 모니터링 및 운영에 대한 전반적인 가이드를 담은 문서입니다.
필요 시 패치까지 만들어서 사용하고 있습니다.
준영님 감사드려요.
Spring boot
Spring Boot allows creating standalone Spring applications with minimal configuration. It makes assumptions about dependencies and provides default configurations. It aims to provide a faster development experience for Spring. Some key Spring Boot components include auto-configuration, core functionality, CLI, actuator for monitoring, and starters for common dependencies. To use Spring Boot, create a project with the Spring Initializr, add code and configurations, then build a jar file that can be run standalone.
Concurrency in Java
The document discusses key concepts related to threads and concurrency in Java. It defines processes, threads, and the Java memory model. It then covers various concurrency utilities in Java like synchronized blocks, volatile fields, atomic classes, thread pools, blocking queues, and locking mechanisms like ReentrantLock. The last part discusses high-level concurrency constructs like semaphores, latches, barriers, and phaser.
Nest.js Introduction
Nest.js is a Node.js framework that uses an architecture-oriented approach to build scalable and loosely coupled applications. It is inspired by Angular and uses modules, dependency injection, and other features to build progressive web apps. Nest.js allows developers to split code into reusable units and easily integrate with databases and other technologies through a clean architecture.
QEMU Sandboxing for dummies
This is the presentation is about security on QEMU/KVM virtual machines using Seccomp. DevConf 2018 in Brno - Czech Republic.
JMeter Intro
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
Content Storage With Apache Jackrabbit
Jackrabbit is an open source content repository for Java that implements the JCR 2.0 specification. It provides a flexible, hierarchical content storage system with features like full text search, versioning, transactions, and observation. Jackrabbit entered the Apache incubator in 2004 and graduated in 2006. It provides APIs and implementations for embedding a content repository, accessing it remotely over RMI, or deploying it as a shared resource using a servlet container or J2EE application server. The document discusses Jackrabbit's architecture, configuration, indexing, data storage, content modeling, and common issues around content hierarchies and concurrent edits.
How to go about testing in React?
Presentation for my talk at the JavaScript Matters meetup organized by Skills Matter on 11/03/2019 in London, UK.
Introduction to Zabbix - Company, Product, Services and Use Cases
About Zabbix Software:
Zabbix is an enterprise-class open source distributed monitoring solution designed to monitor and track performance and availability of network servers, devices, services and other IT resources.
Zabbix is an all-in-one monitoring solution that allows users to collect, store, manage and analyze information received from IT infrastructure, as well as display on-screen, and alert by e-mail, SMS or Jabber when thresholds are reached.
Zabbix allows administrators to recognize server and device problems within a short period of time and therefore reduces the system downtime and risk of system failure. The monitoring solution is being actively used by SMBs and large enterprises across all industries and almost in every country of the world.
Thread dump troubleshooting
This document discusses how to take thread dumps to troubleshoot Java applications. It describes when thread dumps are useful, such as for poor performance, hangs, or high CPU usage. It explains how to generate thread dumps in WebLogic, Oracle Application Server, and other environments. The document also covers analyzing thread dumps by examining thread states and stacks to diagnose issues like deadlocks, resource contention, and lack of available threads. Case studies demonstrate how to identify and address common problems using thread dumps.
Performance Engineering Basics
With every passing day, organizations are becoming more and more mindful about the performance of their Software Products. However, most of them still on look-out for the basics of Performance Engineering.
According to a recent study by Gartner, fixing performance defects near the end of the development cycle costs 50 to 100 times more than the cost required for fixing it during the early phase of development. Hence, if a product suffers from serious performance issues it can be completely scrapped.
Performance Engineering ensures that your application is performing as per expectations and the software is tested and tuned to meet specified or even the unstated performance requirements.
We present you with a webcast on Performance Engineering Basics that would walk you through the elements and process of performance engineering, and also offers a methodical process for the same.
It also offers details on a load testing tool, and describes how best to utilize it.
Visit http: http://www.impetus.com/featured_webcast?eventid=10 to listen to the entire webcast (20 minutes).
OR
To post any queries on Performance Engineering, write to us at isales@impetus.com
For case studies and articles on performance engineering please visit: http://www.impetus.com/plabs/casestudies?case_study=&pLabsClustering.pdf=
More Related Content
What's hot
Graylog for open stack 3 steps to know why
1. Graylog is log management software that can be used to collect and analyze logs from OpenStack. It provides centralized log management.
2. With hundreds of log files generating tens of gigabytes of logs daily across OpenStack controllers and compute nodes, effective log management is needed. Graylog can collect logs from all OpenStack services and components.
3. Using Graylog for OpenStack involves 3 simple steps - collecting logs from OpenStack services, analyzing the logs in Graylog, and using log information to understand and resolve issues. This allows incidents to be responded to quickly by finding the root cause in the logs.
Troubleshooting Tools In JDK
The document discusses various monitoring and troubleshooting tools available in the JDK 'bin' folder. It summarizes the key tools like jconsole for monitoring Java applications, jcmd for sending diagnostic commands, jmap for creating heap dumps, and jstack for thread stack traces. It also discusses tools that have been removed from newer JDK versions like Java VisualVM and jhat.
Formation Spring Avancé gratuite par Ippon 2014
Spring est le principal framework de développement Java utilisé en entreprise. Ce succès tient au fait qu'il permet de développer facilement et rapidement des applications robustes, légères et bien testées.
Apprécié également par les cellules d'architecture et les DSI, Spring permet d'avoir des applications bien découpées en couches, facilement maintenables et évolutives.
Cependant, si une configuration Spring simple est à la portée de tous, avoir une architecture Spring correcte, en comprendre le fonctionnement interne et connaître les fonctionnalités avancées du framework sont des tâches nettement plus ardues.
L'objectif de cette formation est de donner les bonnes bases pour comprendre les principaux aspects de Spring, de manière à ce que les participants soient capables de :
- Développer une application Spring complète (persistance, métier, validation, transactions, sécurité, Web, Ajax...).
- Comprendre le fonctionnement interne de Spring et donc être autonomes lorsqu'un bug ou une situation anormale se produit.
- Avoir intégré la philosophie de développement Spring, afin de pouvoir facilement prendre en main un sous-projet ou une fonctionnalité Spring qu'ils ne connaissent pas encore.
Spring Boot
This document provides an overview of Spring Boot and some of its key features. It discusses the origins and modules of Spring, how Spring Boot simplifies configuration and dependency management. It then covers examples of building Spring Boot applications that connect to a SQL database, use RabbitMQ for messaging, and schedule and run asynchronous tasks.
Performance Tuning - Memory leaks, Thread deadlocks, JDK tools
How to identify memory leaks in java applications, thread contentions, using jdk in built tools to identify performance bottlenecks
Spring boot
This document contains an agenda and slides for a presentation on Spring Boot. The presentation introduces Spring Boot, which allows developers to rapidly build production-grade Spring applications with minimal configuration. It demonstrates how to quickly create a "Hello World" application using Spring Boot and discusses some of the features it provides out-of-the-box like embedded servers and externalized configuration. The presentation also shows how to add additional functionality like Thymeleaf templates and actuator endpoints to monitor and manage applications.
Zabbix 3.2 presentation June 2017
Zabbix is enterprise open source monitoring software for networks and applications, created by Alexei Vladishev. It is designed to monitor and track the status of various network services, servers, and other network hardware. Zabbix uses MySQL, PostgreSQL, SQLite, Oracle or IBM DB2 to store data.
Zabbix
Zabbix is an open source network monitoring software that allows users to monitor networks, servers and other network hardware and services. It works by having Zabbix agents installed on devices that report data to a central Zabbix server. The server then stores and analyzes the data to trigger alerts if issues arise. Key features include autodiscovery of devices, low-level discovery, agent-less monitoring, flexible notifications and dashboard visualizations. It provides an architecture with a server, agents and proxies to distribute the monitoring load across a network.
Multithreading in-java
This document discusses multithreading in Java. It begins by defining a process as a program in execution that may contain multiple concurrently executing threads. It then defines a thread as the smallest unit of processing that can run independently within a process. The document goes on to compare threads and processes, discuss how to create multithreads in Java by extending the Thread class or implementing the Runnable interface, provide examples of multithreading code, and list advantages of multithreading like enabling multiple concurrent tasks and improved performance.
Spring Boot
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based applications that you can "just run". It allows you to create stand-alone applications, embed Tomcat/Jetty directly with no need to deploy WAR files, and provides starter POMs to simplify configuration. Spring Boot applications are run by adding a spring-boot-gradle-plugin and can then be run as an executable JAR. Features include REST endpoints, security, external configuration, and production monitoring via Actuators.
[오픈소스컨설팅] 아파치톰캣 운영가이드 v1.3
Apache Tomcat 설치, 환경 구성, 모니터링 및 운영에 대한 전반적인 가이드를 담은 문서입니다.
필요 시 패치까지 만들어서 사용하고 있습니다.
준영님 감사드려요.
Spring boot
Spring Boot allows creating standalone Spring applications with minimal configuration. It makes assumptions about dependencies and provides default configurations. It aims to provide a faster development experience for Spring. Some key Spring Boot components include auto-configuration, core functionality, CLI, actuator for monitoring, and starters for common dependencies. To use Spring Boot, create a project with the Spring Initializr, add code and configurations, then build a jar file that can be run standalone.
Concurrency in Java
The document discusses key concepts related to threads and concurrency in Java. It defines processes, threads, and the Java memory model. It then covers various concurrency utilities in Java like synchronized blocks, volatile fields, atomic classes, thread pools, blocking queues, and locking mechanisms like ReentrantLock. The last part discusses high-level concurrency constructs like semaphores, latches, barriers, and phaser.
Nest.js Introduction
Nest.js is a Node.js framework that uses an architecture-oriented approach to build scalable and loosely coupled applications. It is inspired by Angular and uses modules, dependency injection, and other features to build progressive web apps. Nest.js allows developers to split code into reusable units and easily integrate with databases and other technologies through a clean architecture.
QEMU Sandboxing for dummies
This is the presentation is about security on QEMU/KVM virtual machines using Seccomp. DevConf 2018 in Brno - Czech Republic.
JMeter Intro
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
Content Storage With Apache Jackrabbit
Jackrabbit is an open source content repository for Java that implements the JCR 2.0 specification. It provides a flexible, hierarchical content storage system with features like full text search, versioning, transactions, and observation. Jackrabbit entered the Apache incubator in 2004 and graduated in 2006. It provides APIs and implementations for embedding a content repository, accessing it remotely over RMI, or deploying it as a shared resource using a servlet container or J2EE application server. The document discusses Jackrabbit's architecture, configuration, indexing, data storage, content modeling, and common issues around content hierarchies and concurrent edits.
How to go about testing in React?
Presentation for my talk at the JavaScript Matters meetup organized by Skills Matter on 11/03/2019 in London, UK.
Introduction to Zabbix - Company, Product, Services and Use Cases
About Zabbix Software:
Zabbix is an enterprise-class open source distributed monitoring solution designed to monitor and track performance and availability of network servers, devices, services and other IT resources.
Zabbix is an all-in-one monitoring solution that allows users to collect, store, manage and analyze information received from IT infrastructure, as well as display on-screen, and alert by e-mail, SMS or Jabber when thresholds are reached.
Zabbix allows administrators to recognize server and device problems within a short period of time and therefore reduces the system downtime and risk of system failure. The monitoring solution is being actively used by SMBs and large enterprises across all industries and almost in every country of the world.
What's hot (20)
Performance Tuning - Memory leaks, Thread deadlocks, JDK tools
Performance Tuning - Memory leaks, Thread deadlocks, JDK tools
Introduction to Zabbix - Company, Product, Services and Use Cases
Introduction to Zabbix - Company, Product, Services and Use Cases
Viewers also liked
Thread dump troubleshooting
This document discusses how to take thread dumps to troubleshoot Java applications. It describes when thread dumps are useful, such as for poor performance, hangs, or high CPU usage. It explains how to generate thread dumps in WebLogic, Oracle Application Server, and other environments. The document also covers analyzing thread dumps by examining thread states and stacks to diagnose issues like deadlocks, resource contention, and lack of available threads. Case studies demonstrate how to identify and address common problems using thread dumps.
Performance Engineering Basics
With every passing day, organizations are becoming more and more mindful about the performance of their Software Products. However, most of them still on look-out for the basics of Performance Engineering.
According to a recent study by Gartner, fixing performance defects near the end of the development cycle costs 50 to 100 times more than the cost required for fixing it during the early phase of development. Hence, if a product suffers from serious performance issues it can be completely scrapped.
Performance Engineering ensures that your application is performing as per expectations and the software is tested and tuned to meet specified or even the unstated performance requirements.
We present you with a webcast on Performance Engineering Basics that would walk you through the elements and process of performance engineering, and also offers a methodical process for the same.
It also offers details on a load testing tool, and describes how best to utilize it.
Visit http: http://www.impetus.com/featured_webcast?eventid=10 to listen to the entire webcast (20 minutes).
OR
To post any queries on Performance Engineering, write to us at isales@impetus.com
For case studies and articles on performance engineering please visit: http://www.impetus.com/plabs/casestudies?case_study=&pLabsClustering.pdf=
IDC & Gomez Webinar --Best Practices: Protect Your Online Revenue Through Web...
Did you know that 85% of users complain about slow response time? Poor web application performance can directly impact your bottom line
The success of your critical eBusiness initiatives depends on your ability to deliver quality web experiences. Unfortunately, 65% of applications are not properly load tested prior to launch, resulting in lost revenue, increased support costs and brand damage. So how can you ensure success when launching new applications, adding features, deploying new infrastructure, rolling out marketing campaigns, or preparing for seasonal spikes like the holiday shopping season?
Join us as our guest speaker, Melinda Ballou, IDC’s Program Director for Application Life-Cycle Management research discusses challenges, drivers and best practices for effective web performance testing and quality life-cycle management for today’s rich and complex applications. Additional topics that Imad Mouline, Gomez’s CTO will cover in this session are:
Best practices for ensuring the success of critical eBusiness initiatives
The end-user experience and business impact of emerging web technologies like Rich Internet Applications, virtualization, cloud computing and Web 2.0
A new approach for web performance and load testing that’s easy to use, delivered on-demand, and enables you to find and fix problems before they impact customers
Who Should Watch: Line of Business and eCommerce Managers, Interactive Marketing, Brand Managers, Project Managers and IT Operations Executives.
Basic Thread Knowledge
This slide describes basic of Thread .Difference between thread and process.How to write simple thread program.
Don't dump thread dumps
1) The document discusses various techniques for analyzing thread dumps to troubleshoot issues like CPU spikes, out of memory errors, and unresponsive applications or databases.
2) It provides examples of common thread dump analysis patterns that indicate specific problems, such as the "thread mill" pattern revealing infinite looping or the "leprechaun trap" pattern indicating issues with finalization.
3) The document also describes how to take thread dumps from a Java process using tools like jstack and jcmd and explains the anatomy of a typical thread dump.
WebSphere Technical University: Top WebSphere Problem Determination Features
Problem determination is an important focus area in the IBM WebSphere Application Server. Serviceability improvements have been added that have greatly improved the ability to find root causes of problems in both the full IBM WebSphere Application Server profile, and the newer Liberty profile. The session focuses on how to effectively use serviceability improvements added to the application server since V8.0. This includes high performance extensibe logging, cross-component trace, IBM Support Assistant data collector, timed operations, memory leak detection/prevention, and IBM Support Assistant 5.
Presented at the WebSphere Technical University 2014, Dusseldorf
An Introduction to Software Performance Engineering
Software performance engineering is becoming increasingly important to businesses as they look to improve the non-functional performance of applications and get more out of IT investments. By leveraging performance engineering techniques, IT professionals can be indispensable in building and optimizing scalable systems. This
introductory course will teach you the essentials of software
performance engineering including :
• The performance challenges faced by Enterprise IT today
• What is software performance engineering (SPE)?
• Best practices for building scalable software systems
• The approaches to integrating SPE into IT project lifecycles
• Common frameworks for measuring application performance and service levels
• The impact of SPE on software developers, testers, capacity planes,
and other IT professionals
• Case studies from the finance, retail, and insurance industries
Instructor: Walter Kuketz, SVP and CTO, Collaborative Consulting
This training is sponsored by Correlsense, Collaborative Consulting,
and New Horizons
Hp java heap dump analysis Workshop
This document provides an overview of Java heap dump analysis. It discusses the JVM memory model including the young generation, old generation and permanent generation heap areas. It describes how to create heap dumps manually and using JVM parameters. Useful tools for analyzing heap dumps are presented, including IBM HeapAnalyzer, IBM Thread and Monitor Dump Analyzer, Memory Analyze Tool, and VisualVM. Common causes of memory leaks and Java coding best practices are also covered. The document concludes with demonstrations of analyzing heap dumps using IBM HeapAnalyzer and IBM Thread and Monitor Dump Analyzer.
Viewers also liked (8)
IDC & Gomez Webinar --Best Practices: Protect Your Online Revenue Through Web...
IDC & Gomez Webinar --Best Practices: Protect Your Online Revenue Through Web...
WebSphere Technical University: Top WebSphere Problem Determination Features
WebSphere Technical University: Top WebSphere Problem Determination Features
An Introduction to Software Performance Engineering
An Introduction to Software Performance Engineering
Similar to Thread Dump Analysis
Multithreading 101
This document provides an overview of multithreading concepts including when to use threads, threading primitives like mutexes and semaphores, common issues like race conditions and deadlocks, and alternatives to using threads. Key topics covered include GUI responsiveness, utilizing all processors, network connectivity, atomic functions, mutual exclusion, events and conditions, and memory barriers.
Java
This document discusses multithreading in Java. It defines multithreading as having multiple points of execution within the same memory space that can share access to resources. The key benefits of multithreading are that applications can perform multiple tasks simultaneously and remain responsive even when long tasks are being performed. The document outlines how threads are implemented in Java using the Thread class and Runnable interface, and discusses concepts like thread states, priorities, and concurrency issues that must be addressed.
Java multithreading
This document discusses Java multithreading. It begins by outlining the objectives of understanding multithreading, Java's mechanism, concurrency issues, and synchronized access. It then explains that multithreading allows multiple threads to run simultaneously within a process's memory space. Finally, it covers key topics like creating and running threads, thread states, priorities, and ensuring thread-safe access to shared resources through synchronization.
Java Multithreading
This document discusses Java multithreading. It explains that multithreading allows an application to have multiple points of execution within the same memory space. It outlines how Java supports multithreading through the Thread class and Runnable interface. It also describes concurrency issues that can arise from multithreading, such as race conditions, and how to address them using techniques like synchronized access and locking.
Multithreading
This document discusses multithreading in Java. It explains that multithreading allows an application to have multiple points of execution within the same memory space. This improves responsiveness by allowing tasks to be performed concurrently rather than sequentially. The document outlines how threads are implemented in Java using the Thread class and Runnable interface, and discusses issues like concurrency, shared resources, thread states, priorities and synchronization.
multithreading
This document provides an overview of multithreading in Java. It describes how multithreading allows an application to perform multiple tasks simultaneously through the use of threads. It explains that threads allow applications to remain responsive even when long tasks are being performed. The document outlines how threads work in Java, including how to create threads using the Thread and Runnable classes, the different states threads can be in, and common concurrency issues that can arise with multithreading like race conditions.
Java
This document discusses multithreading in Java. It begins by explaining that multithreading allows multiple tasks to be performed concurrently by having each task executed in a separate thread. It then covers key topics like how threads are implemented in Java using the Thread class and Runnable interface, how to create and manage threads, common thread states, ensuring thread safety through synchronization, and techniques to improve synchronization performance.
Multithreading in java
Multithreading allows programs to split into multiple threads to perform tasks concurrently. There are two main ways to create threads: extending the Thread class or implementing the Runnable interface. Threads transition between different states like New, Runnable, Running, Waiting and Dead. Synchronization is needed to control access to shared resources between threads using locks and synchronized methods/blocks. The thread scheduler determines which threads get CPU time based on their priority and state.
Java Multithreading and Concurrency
This presentation is about advanced multithreading and concurrency in Java. I have tried my best to explain the concepts with code. Feel free to reach me if you have any questions or concerns.
jvm/java - towards lock-free concurrency
This document discusses trends towards lock-free concurrency in Java. It begins with an introduction to concurrency and Java's memory model. It then covers various concurrency primitives in Java 8 like volatile variables, atomics, concurrent collections, and explicit locks. It discusses how techniques like biased locking improve performance of atomics. Finally, it explores trends like software transactional memory (STM) that aim to make lock-free programming more practical.
Multithreading and concurrency in android
Here you will learn -
What is Multithreading
What is concurrency
Process Vs Thread
Improvements and issues with concurrency
Limits of concurrency gains
Concurrency issues
Threads pools with the Executor Framework
AsyncTask and the UI Thread
Code
Multi threading
This document provides an overview of multithreading in 3 sentences or less:
Multithreading allows a program to split into multiple threads that can run simultaneously, improving responsiveness, utilizing multiprocessors efficiently, and structuring programs more effectively. Threads transition between different states like new, runnable, running, blocked, and dead over their lifetime. Common threading techniques include setting thread priority, enabling communication between threads, and avoiding deadlocks when multiple threads depend on each other's locks.
Thread priorities in java
Java assigns each thread a priority that determines how that thread should be treated for the others. Thread priorities are integers that specify the relative importance of one thread to another.
A priority is meaningless as an absolute value; a higher priority thread does not run any faster than a lower-priority thread if it is the only thread running. Instead, a thread’s priority is used to decide when to switch from one running thread to next.
Threading in java - a pragmatic primer
This document discusses concepts related to threads and concurrency in Java. It begins by defining processes and threads, explaining that processes contain threads. It then covers key threading concepts like thread pools, synchronization, and data management between threads. The document provides examples of why threads are used and best practices for writing threaded code in Java. It also discusses common threading issues like deadlocks and race conditions and how to avoid them.
Slide 7 Thread-1.pptx
The document discusses various aspects of threads in Java such as the join method, which allows one thread to wait for another to finish executing; setting thread priorities and daemon status; using thread pools for better performance; and shutdown hooks, which allow code to run when the JVM shuts down. It also covers thread groups for managing multiple threads and risks associated with thread pools such as deadlocks if tasks wait on each other.
Java Threading
Threads allow concurrent execution of code by sharing memory within a process. Globals and static variables must be synchronized to be safely accessed by multiple threads, but local variables are private to each thread. The Java Virtual Machine originally used "green threads" but now uses native operating system threads, allowing parallel execution on multi-core systems. The J2EE standard recommends avoiding synchronization and instead storing data in databases protected by transactions. Synchronization, if used, should change minimal shared state to avoid problems like deadlocks.
Java concurrency
This document discusses Java concurrency and the Java memory model. It begins with an agenda that covers the Java memory model, thread confinement, the Java atomic API, immutable objects, and memory consumption. It then goes into more detail on the Java memory model, discussing topics like ordering, visibility, and atomicity. It provides examples and references to help understand concepts like sequential consistency and data races. It also covers thread confinement techniques like ad hoc confinement, stack confinement, and using ThreadLocal.
Here comes the Loom - Ya!vaConf.pdf
At a time when Herbt Sutter announced to everyone that the free lunch is over (The Free Lunch Is Over: A Fundamental Turn Toward Concurrency in Software), concurrency has become our everyday life.A big change is coming to Java, the Loom project and with it such new terms as "virtual thread", "continuations" and "structured concurrency". If you've been wondering what they will change in our daily work or
whether it's worth rewriting your Tomcat-based application to super-efficient reactive Netty,or whether to wait for Project Loom? This presentation is for you.
I will talk about the Loom project and the new possibilities related to virtual wattles and "structured concurrency". I will tell you how it works and what can be achieved and the impact on performance
Breaking The Clustering Limits @ AlphaCSP JavaEdge 2007
The document discusses the evolution of clustering in Java applications. It describes how early clustering solutions focused on replicating state between nodes for scalability and failover. More modern approaches use data grids, computational grids, and clustered virtual machines to distribute data and processing across nodes for improved performance and resource utilization. A variety of open source and commercial implementations are presented, including EHCache, GlassFish Shoal, Oracle Coherence, JBoss POJO Cache, GigaSpaces, and Terracotta.
J threads-pdf
This document provides an introduction to using threads in Java programs. It explains that threads allow multiple activities to run concurrently within a single process by executing independently yet sharing resources like memory. The tutorial covers why threads are useful for improving responsiveness, taking advantage of multiple processors, simplifying programming models, and performing asynchronous tasks. It also discusses basics like creating and controlling threads, ensuring safe sharing of data between threads, and avoiding issues like deadlocks. An example demonstrates calculating prime numbers concurrently using one thread for timing and another for the calculation work.
Similar to Thread Dump Analysis (20)
Breaking The Clustering Limits @ AlphaCSP JavaEdge 2007
Breaking The Clustering Limits @ AlphaCSP JavaEdge 2007
More from Dmitry Buzdin
How Payment Cards Really Work?
This talk is an introduction about technical aspects of how payment cards function, what technical protocols are involved and what are implementation complexities in a typical payments project. You will learn about concepts like Authorisation and Clearing, Tokenization and know about novelties in the payment world, which will affect consumers in the nearest future.
Как построить свой фреймворк для автотестов?
Мы пройдемся по всем основным блокам построения тестового фреймворка и тому, как они связаны между собой. Вы научитесь собирать свое решение по автоматизации из библиотек с открытым кодом и делать так, чтобы они дополняли друг друга.
How to grow your own Microservice?
The document discusses how to grow microservices from a monolithic architecture using a staged approach. It recommends starting with a modular monolith broken into bounded context modules that can be deployed and tested independently. These modules can then be upgraded to independent microservices by separating databases, exposing APIs, and moving to an eventual consistency model. The process should be iterative, allowing code to be refactored and services extracted gradually based on factors like scalability needs and usage patterns. Practical advice includes API-first design, avoiding reusable frameworks, using schema per bounded context, and embracing testing and devops best practices.
How to Build Your Own Test Automation Framework?
Even though there are plenty of open source tools on the market every company needs to put them together and create a test automation framework on top. Best practices of doing that are quite well-known in industry and it is important to learn them before building your own framework. We will go through the core building blocks of test automation frameworks and how they are playing together. You will learn how to assemble your test automation toolchain out of open source libraries and how to integrate them together. The session will be heavily biased towards Java platform.
Delivery Pipeline for Windows Machines
DevOps Days Riga 2017 talk about creating a delivery pipeline on Windows using tools like:
* jenkins
* ansible
* powershell
* chocolatey
* nssm
Big Data Processing Using Hadoop Infrastructure
The document discusses using Hadoop infrastructure for big data processing. It describes Intrum Justitia SDC, which has data across 20 countries in various formats and a high number of data objects. Hadoop provides solutions like MapReduce and HDFS for distributed storage and processing at scale. The Hadoop ecosystem includes tools like Hive, Pig, HBase, Impala and Oozie that help process and analyze large datasets. Examples of using Hadoop with Java and integrating it into development environments are also included.
JOOQ and Flyway
The document provides an overview of using Flyway and JOOQ together to manage database migrations and generate Java objects from database schemas. Flyway is used to run SQL scripts for schema migrations, while JOOQ generates Java classes that correspond to database tables and can be used to write type-safe SQL queries. Examples are given of using JOOQ to build queries, fetch results in various formats, perform CRUD operations on records, and integrate Flyway and JOOQ into build systems like Gradle.
Developing Useful APIs
This document discusses best practices for developing useful APIs. It recommends treating all reusable code as an API and following principles like using minimal dependencies and packaging code appropriately. It also provides examples of API design patterns at the module, class, and method level, such as using dependency injection, builder patterns, and exception handling conventions. The goal is to make APIs easy to read, use, extend, and hard to misuse by learning from open source projects and following trends in API design.
Whats New in Java 8
This document summarizes some of the new features introduced in Java 8, including streams, lambda expressions, default methods, and date/time API changes. It discusses streams in more detail, covering stream operations like filter, map, distinct, and collect. It also covers new features like Optional for returning absent/present values, annotations for null checks, parallel array sorting, and concurrency utilities.
Dart Workshop
This document provides an overview of a Dart workshop that teaches Dart fundamentals and building full-stack Dart applications. The workshop is divided into five parts that cover Hello World examples, integrating Google Maps, dynamic HTML, adding a server backend, and connecting to MongoDB. Each part includes tasks to complete and concepts to learn, such as the Dart project structure, writing unit tests, manipulating the DOM, making HTTP requests, and using the MongoDB Dart driver. The conclusion discusses why Dart may be better than JavaScript and considers if Dart has the potential to be the future for web development.
Riding Redis @ask.fm
This document discusses how Redis can be used to solve various data and application scenarios for a social Q&A platform. It describes 6 scenarios including using Redis strings for counters, Redis lists for a message queue, Redis hashes for user activity tracking, Redis bits for feature flags, Redis sorted sets for a social wall, and Redis pub/sub for real-time monitoring. It provides examples of how Redis data structures map to each use case and discusses capabilities like performance, scalability and data consistency.
Refactoring to Macros with Clojure
This document discusses refactoring Java code to Clojure using macros. It provides examples of refactoring Java code that uses method chaining to equivalent Clojure code using the threading macros (->> and -<>). It also discusses other Clojure features like type hints, the doto macro, and polyglot projects using Leiningen.
Poor Man's Functional Programming
This document discusses ways to introduce functional programming concepts into Java code using existing Java 8 features, third-party libraries like Guava and LambdaJ, and by implementing common functional patterns and data structures yourself. It provides examples of using higher order functions, pure functions, recursion, and currying in Java code. It also summarizes capabilities of the Guava and LambdaJ libraries for functional programming in Java.
Continuous Delivery
This document discusses continuous delivery, which is an agile methodology for frequently delivering incremental software changes to users. It involves fully automating the build, deployment, testing and release processes through a deployment pipeline. This reduces costs and risks while ensuring that quality software is delivered to users quickly. The document outlines various goals and best practices of continuous delivery, such as automating everything possible, testing excessively, and avoiding anti-patterns like code freezes or manual deployments. It also discusses tools that can help with continuous delivery and adopting this approach.
Introduction to DevOps
This document provides an introduction to infrastructure as code and DevOps. It discusses how infrastructure complexity has increased over time from mainframes to multi-tier applications to cloud computing. It also covers how separate development and operations teams can be merged into a unified DevOps team. Infrastructure as code is introduced as treating infrastructure like code by automating server provisioning, configuration, and changes using tools like Puppet, allowing infrastructure to be version controlled and changes to be tested. This enables continuous delivery of infrastructure updates alongside application code changes.
Pragmatic Java Test Automation
Unit tests isolate and test classes individually using mocks and dependency injection. Integration tests emulate dependencies using fakes to test integration points. Functional tests start the application context and emulate user requests to test functionality across layers without GUI. The document discusses patterns for different types of automated tests including using embedded containers and databases, configuration overrides, and JUnit rules to test at the unit, integration, and functional levels. The goal is to decrease costs and risks of changes through extensive automation.
More from Dmitry Buzdin (20)
Thread Dump Analysis
- 1. Overview Real life situations Thread dump format Taking thread dumps TDA tools Reading material Questions
- 3. Problems with I/O Threads maybe blocked or perform slowly during access to I/O resources: File system Network Database Single or multiple thread dumps may help understading the problem
- 4. Problems with algorithms Algorithm complexity is not suited well for the data set size Algorithm is overusing expensive resources or memory Algorithm is overusing locks, while it can be implemented in a lock-free manner Single or multiple thread dumps may help noticing the problem
- 5. Problems with locks and syncronization No locking (not thread-safe implementations) Deadlocks (overly syncronised) Lock contention (overly syncronised) Lock overhead (too many locks) Single or multiple thread dumps may explain the situation
- 6. Example: HashMap gives 100% CPU load Usage of not syncronised HashMap in a multi-threaded application In certain situations it goes into infinite loop This causes 100% CPU load The probabilty of entering infinite loop depends on the size of the HashMap Single thread dump reveals the problem
- 7. From Wikipedia: Deadlocks “A deadlock is a situation in which two or more competing actions are each waiting for the other to finish, and thus neither ever does.
- 8. Deadlocks In real life, deadlocks are pretty rare CPU usage is usally close to 0 Single thread dump can reveal a deadlock situation
- 9. Lock contention From Wikipedia: “This occurs whenever one process or thread attempts to acquire a lock held by another process or thread. The more granular the available locks, the less likely one process/thread will request a lock held by the other. (For example, locking a row rather than the entire table, or locking a cell rather than the entire row.)
- 10. Lock contention The most common problem with multi-threaded applications related to lock handling Sometimes easy, sometimes very hard to detect You can only see one layer at a time Multiple thread dumps may help to detect lock contention situations
- 11. Sporadic application behaviour May be related to not thread safe code May be related to load patterns May be related to specific data Threads dumps may or may not help
- 12. Thread dump format
- 13. Formats Formats differ for various JVM and application server implementations There is no tool that supports them all Though format is usually very readble and follows same principles
- 14. HotSpot format
- 15. Thread states I http://docs.oracle.com/javase/1.5.0/docs/api/java/lang/Thread.State.html “A thread can be in one of the following states: NEW - A thread that has not yet started is in this state. RUNNABLE - A thread executing in the Java virtual machine is in this state. BLOCKED - A thread that is blocked waiting for a monitor lock is in this state.
- 16. Thread states II “ WAITING - A thread that is waiting indefinitely for another thread to perform a particular action is in this state. TIMED_WAITING - A thread that is waiting for another thread to perform an action for up to a specified waiting time is in this state. TERMINATED - A thread that has exited is in this state.
- 17. Taking thread dumps
- 18. How? jstack jconsole jvisualvm write your own JMX client use your favorite profiler
- 19. Demo
- 21. TDA tools IBM Thread and Monitor Dump analysis Java Thread Dump Analyzer Samurai Thread Dump Analyzer Thread Dump Viewer
- 22. Demo
- 23. Book
- 24. Questions?
- 25. JVM Internals Training Aestas/IT organizes "JVM Internals" training on March 25/26, 2013. This 2–day course takes the developer on an in-depth tour of the Java Virtual Machine. Intended for experienced JVM-based programmers, who want to get deeper with the platform, this course will introduce the major subsystems of the JVM and practical ways to apply this knowledge in real applications.
- 26. Topics I History of Java and JVM Specifications Bytecode Base components Detailed architecture JIT compilation Garbage collection Threads Locks Classloading
- 27. Topics II Security Monitoring tools Java agents Debugging Memory analysis Tuning principles GC tuning Responsiveness and throughput Tuning Options
- 28. Registration Training registration at: http://aestasit.com/jvm-training-riga-2013 Or by sending e-mail to: training@aestasit.com
- 29. Thanks!