This document provides an introduction to virtual machines and the Java Virtual Machine (JVM). It discusses how the JVM mimics a real machine by loading and executing Java bytecode. It also describes classloaders, garbage collection algorithms, and how code is executed via interpretation or compilation. Examples are provided of how memory is managed dynamically and how the JVM performs just-in-time compilation to native code.
This document discusses how the Java Virtual Machine (JVM) can support multiple languages. It describes how language features can be emulated on the JVM through additional layers of indirection. It outlines key features added in JDK 7 like invokedynamic bytecode and method handles to better support dynamic languages on the JVM by reducing overhead from emulation. The document argues that the JVM should optimize for non-Java language features to benefit both Java and other languages running on the platform.
This document discusses intrinsic methods in the HotSpot JVM. It provides background on what intrinsic methods are and how they are implemented and optimized in JVMs and native compilers. It gives examples of intrinsic methods in HotSpot VM like System.currentTimeMillis(), Unsafe.compareAndSwapInt(), and Math.log(). It also discusses intrinsic methods added in TaobaoJDK like TCrc32 and how to experiment implementing your own intrinsic methods in the C1 and C2 compilers.
This document provides an overview of JRuby, highlighting both advantages and disadvantages compared to Ruby implementations. Key points include:
- JRuby runs Ruby code on the Java Virtual Machine (JVM), allowing access to Java libraries and tools while retaining Ruby syntax and semantics.
- The memory footprint of JRuby applications is initially larger than CRuby due to object sizes, but memory usage over time can be smaller with JRuby's garbage collection.
- Features like fork, continuations, and some extensions may be missing or disabled in JRuby.
- JRuby provides multiple Ruby versions and allows running multiple Ruby applications in a single JVM process.
- Performance benchmarks show JRuby can be competitive with
"What's New in HotSpot JVM 8" @ JPoint 2014, Moscow, Russia Vladimir Ivanov
This document summarizes new features and improvements in HotSpot JVM 8. It discusses support for Project Lambda (lambda expressions and default methods), the Nashorn JavaScript engine, removal of PermGen space, and various performance enhancements. Notable changes include storing class metadata in native memory instead of PermGen, support for type annotations, and intrinsics for exact math operations to improve performance of dynamic languages like JavaScript.
The document discusses JRuby, a Ruby implementation that runs on the Java Virtual Machine. It provides an introduction to JRuby, describing how it allows Ruby code to leverage Java libraries and run on the JVM. It also discusses some of the challenges of implementing Ruby on the JVM, such as performance optimization, and outlines JRuby's approach to addressing issues like concurrency through libraries that provide thread-safe data structures.
Slides used for an internal training. This explains how to generate Flame Graphs using Java Flight Recorder dumps. There is also an example to use Linux "perf_events" to generate a Java Mixed-Mode Flame Graph.
This document provides an introduction to virtual machines and the Java Virtual Machine (JVM). It discusses how the JVM mimics a real machine by loading and executing Java bytecode. It also describes classloaders, garbage collection algorithms, and how code is executed via interpretation or compilation. Examples are provided of how memory is managed dynamically and how the JVM performs just-in-time compilation to native code.
This document discusses how the Java Virtual Machine (JVM) can support multiple languages. It describes how language features can be emulated on the JVM through additional layers of indirection. It outlines key features added in JDK 7 like invokedynamic bytecode and method handles to better support dynamic languages on the JVM by reducing overhead from emulation. The document argues that the JVM should optimize for non-Java language features to benefit both Java and other languages running on the platform.
This document discusses intrinsic methods in the HotSpot JVM. It provides background on what intrinsic methods are and how they are implemented and optimized in JVMs and native compilers. It gives examples of intrinsic methods in HotSpot VM like System.currentTimeMillis(), Unsafe.compareAndSwapInt(), and Math.log(). It also discusses intrinsic methods added in TaobaoJDK like TCrc32 and how to experiment implementing your own intrinsic methods in the C1 and C2 compilers.
This document provides an overview of JRuby, highlighting both advantages and disadvantages compared to Ruby implementations. Key points include:
- JRuby runs Ruby code on the Java Virtual Machine (JVM), allowing access to Java libraries and tools while retaining Ruby syntax and semantics.
- The memory footprint of JRuby applications is initially larger than CRuby due to object sizes, but memory usage over time can be smaller with JRuby's garbage collection.
- Features like fork, continuations, and some extensions may be missing or disabled in JRuby.
- JRuby provides multiple Ruby versions and allows running multiple Ruby applications in a single JVM process.
- Performance benchmarks show JRuby can be competitive with
"What's New in HotSpot JVM 8" @ JPoint 2014, Moscow, Russia Vladimir Ivanov
This document summarizes new features and improvements in HotSpot JVM 8. It discusses support for Project Lambda (lambda expressions and default methods), the Nashorn JavaScript engine, removal of PermGen space, and various performance enhancements. Notable changes include storing class metadata in native memory instead of PermGen, support for type annotations, and intrinsics for exact math operations to improve performance of dynamic languages like JavaScript.
The document discusses JRuby, a Ruby implementation that runs on the Java Virtual Machine. It provides an introduction to JRuby, describing how it allows Ruby code to leverage Java libraries and run on the JVM. It also discusses some of the challenges of implementing Ruby on the JVM, such as performance optimization, and outlines JRuby's approach to addressing issues like concurrency through libraries that provide thread-safe data structures.
Slides used for an internal training. This explains how to generate Flame Graphs using Java Flight Recorder dumps. There is also an example to use Linux "perf_events" to generate a Java Mixed-Mode Flame Graph.
This document provides an overview of the Java Virtual Machine (JVM). It discusses that the JVM is an abstract machine that implements an intermediate language between Java code and hardware. The JVM architecture includes class files, data types, memory areas like stacks and heap, and JVM instructions. Class files define the class file format that all JVM implementations must support. The JVM is a stack-based machine where frames are used to store arguments, local variables, and intermediate results.
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.
A brief explanation on how the JVM loads and execute its code is done here. Register and stack based execution are explained, and different garbage collection algorithms are shown using graphs to make it easy to understand what happens under the hood. This talk uses the Java Virtual Machine as a main example, but most of the concepts extends to any modern virtual machine available today.
A quick view about Java Virtual MachineJoão Santana
The document provides an overview of the Java Virtual Machine (JVM). It discusses that the JVM abstracts both the hardware layer and operating system, allowing Java programs to run on multiple platforms. It also describes how the JVM uses just-in-time compilation to optimize bytecode as it runs and manages memory using a heap and garbage collection. Key aspects of the JVM like the heap, garbage collectors, and metaspace replacement of permgen are summarized.
The document discusses several topics related to optimizing Java program performance including:
1. Using buffering and non-blocking I/O for file reading/writing to improve efficiency.
2. Minimizing network calls by retrieving related data in one call and using design patterns like the session facade.
3. Reusing objects when possible rather than constantly creating new instances to reduce garbage collection overhead.
Devoxx Fr 2022 - Remèdes aux oomkill, warm-ups, et lenteurs pour des conteneu...Jean-Philippe BEMPEL
Mes conteneurs JVM sont en prod, oups ils se font oomkill, oups le démarrage traîne en longueur, oups ils sont lent en permanence. Nous avons vécu ces situations.
Ces problèmes émergent parce qu’un conteneur est par nature un milieu restreint. Sa configuration a un impact sur le process Java, cependant ce process a lui aussi des besoins pour fonctionner.
Il y a un espace entre la heap Java et le RSS : c’est la mémoire off-heap et elle se décompose en plusieurs zones. À quoi servent-elles ? Comment les prendre en compte ?
La configuration du CPU impacte la JVM sur divers aspects : Quelles sont les influences entre le GC et le CPU ? Que choisir entre la rapidité ou la consommation CPU au démarrage ?
Au cours de cette université nous verrons comment diagnostiquer, comprendre et remédier à ces problèmes.
String is immutable in Java for security and efficiency reasons. Immutability allows strings to be shared and cached without risk of unexpected changes from another thread. The String class is declared final to prevent extension and mutation. Immutable strings enable safe sharing across threads and applications like databases and networking without the risk of data corruption from concurrent modifications.
Scala e xchange 2013 haoyi li on metascala a tiny diy jvmSkills Matter
Metascala is a tiny metacircular Java Virtual Machine (JVM) written in the Scala programming language. Metascala is barely 3000 lines of Scala, and is complete enough that it is able to interpret itself metacircularly. Being written in Scala and compiled to Java bytecode, the Metascala JVM requires a host JVM in order to run.
The goal of Metascala is to create a platform to experiment with the JVM: a 3000 line JVM written in Scala is probably much more approachable than the 1,000,000 lines of C/C++ which make up HotSpot, the standard implementation, and more amenable to implementing fun features like continuations, isolates or value classes. The 3000 lines of code gives you:
The bytecode interpreter, together with all the run-time data structures
A stack-machine to SSA register-machine bytecode translator
A custom heap, complete with a stop-the-world, copying garbage collector
Implementations of parts of the JVM's native interface
Although it is far from a complete implementation, Metascala already provides the ability to run untrusted bytecode securely (albeit slowly), since every operation which could potentially cause harm (including memory allocations and CPU usage) is virtualized and can be controlled. Ongoing work includes tightening of the security guarantees, improving compatibility and increasing performance.
ENJOYIN
This document discusses bytecode weaving and instrumentation in Java. It provides an overview of how the Java Virtual Machine works with heaps, stacks, and bytecode. It then discusses how to modify bytecode either when loading classes or at runtime using bytecode weaving libraries like Javassist and ASM. It provides an example of how to implement a simple memory sandbox using bytecode instrumentation to limit memory allocation in untrusted code.
How do we go from your Java code to the CPU assembly that actually runs it? Using high level constructs has made us forget what happens behind the scenes, which is however key to write efficient code.
Starting from a few lines of Java, we explore the different layers that constribute to running your code: JRE, byte code, structure of the OpenJDK virtual machine, HotSpot, intrinsic methds, benchmarking.
An introductory presentation to these low-level concerns, based on the practical use case of optimizing 6 lines of code, so that hopefully you to want to explore further!
Presentation given at the Toulouse (FR) Java User Group.
Video (in french) at https://www.youtube.com/watch?v=rB0ElXf05nU
Slideshow with animations at https://docs.google.com/presentation/d/1eIcROfLpdTU2_Z_IKiMG-AwqZGZgbN1Bs2E0nGShpbk/pub?start=true&loop=false&delayms=60000
invited netflix talk: JVM issues in the age of scale! We take an under the hood look at java locking, memory model, overheads, serialization, uuid, gc tuning, CMS, ParallelGC, java.
While working with Java applications running on the Java HotSpot VM, we might sometimes encounter problems such as application hangs, memory leaks, unexpected application behavior, or crashes. Troubleshooting such problems can be very hard and tricky. But with knowledge of the right set of tools and utilities for nailing these problems down and how to approach them, troubleshooting can be made much easier and can help us develop stable, reliable, and efficient Java applications. This slides deck covers how we should approach these JVM issues and which tools and utilities are useful for diagnosing and troubleshooting them.
Inside the JVM - Follow the white rabbit! / Breizh JUGSylvain Wallez
Presentation given at the Rennes (FR) Java User Group in Feb 2019.
How do we go from your Java code to the CPU assembly that actually runs it? Using high level constructs has made us forget what happens behind the scenes, which is however key to write efficient code.
Starting from a few lines of Java, we explore the different layers that constribute to running your code: JRE, byte code, structure of the OpenJDK virtual machine, HotSpot, intrinsic methds, benchmarking.
An introductory presentation to these low-level concerns, based on the practical use case of optimizing 6 lines of code, so that hopefully you to want to explore further!
Java manages memory automatically through garbage collection. Objects are stored in heap memory and are eligible for garbage collection when no references to the object exist. The garbage collector runs periodically in its own thread to identify dereferenced objects and free up memory. Programmers cannot force garbage collection but can request it. OutOfMemoryErrors occur when there is insufficient memory for new objects.
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix chooses Linux kernel versions based on desired performance characteristics and receive a firsthand look at how they set kernel tunables, including hugepages. You also hear about Netflix’s use of SR-IOV to enable enhanced networking and their approach to observability, which can exonerate EC2 issues and direct attention back to application performance.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
This document provides an overview of the Java Virtual Machine (JVM). It discusses that the JVM is an abstract machine that implements an intermediate language between Java code and hardware. The JVM architecture includes class files, data types, memory areas like stacks and heap, and JVM instructions. Class files define the class file format that all JVM implementations must support. The JVM is a stack-based machine where frames are used to store arguments, local variables, and intermediate results.
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.
A brief explanation on how the JVM loads and execute its code is done here. Register and stack based execution are explained, and different garbage collection algorithms are shown using graphs to make it easy to understand what happens under the hood. This talk uses the Java Virtual Machine as a main example, but most of the concepts extends to any modern virtual machine available today.
A quick view about Java Virtual MachineJoão Santana
The document provides an overview of the Java Virtual Machine (JVM). It discusses that the JVM abstracts both the hardware layer and operating system, allowing Java programs to run on multiple platforms. It also describes how the JVM uses just-in-time compilation to optimize bytecode as it runs and manages memory using a heap and garbage collection. Key aspects of the JVM like the heap, garbage collectors, and metaspace replacement of permgen are summarized.
The document discusses several topics related to optimizing Java program performance including:
1. Using buffering and non-blocking I/O for file reading/writing to improve efficiency.
2. Minimizing network calls by retrieving related data in one call and using design patterns like the session facade.
3. Reusing objects when possible rather than constantly creating new instances to reduce garbage collection overhead.
Devoxx Fr 2022 - Remèdes aux oomkill, warm-ups, et lenteurs pour des conteneu...Jean-Philippe BEMPEL
Mes conteneurs JVM sont en prod, oups ils se font oomkill, oups le démarrage traîne en longueur, oups ils sont lent en permanence. Nous avons vécu ces situations.
Ces problèmes émergent parce qu’un conteneur est par nature un milieu restreint. Sa configuration a un impact sur le process Java, cependant ce process a lui aussi des besoins pour fonctionner.
Il y a un espace entre la heap Java et le RSS : c’est la mémoire off-heap et elle se décompose en plusieurs zones. À quoi servent-elles ? Comment les prendre en compte ?
La configuration du CPU impacte la JVM sur divers aspects : Quelles sont les influences entre le GC et le CPU ? Que choisir entre la rapidité ou la consommation CPU au démarrage ?
Au cours de cette université nous verrons comment diagnostiquer, comprendre et remédier à ces problèmes.
String is immutable in Java for security and efficiency reasons. Immutability allows strings to be shared and cached without risk of unexpected changes from another thread. The String class is declared final to prevent extension and mutation. Immutable strings enable safe sharing across threads and applications like databases and networking without the risk of data corruption from concurrent modifications.
Scala e xchange 2013 haoyi li on metascala a tiny diy jvmSkills Matter
Metascala is a tiny metacircular Java Virtual Machine (JVM) written in the Scala programming language. Metascala is barely 3000 lines of Scala, and is complete enough that it is able to interpret itself metacircularly. Being written in Scala and compiled to Java bytecode, the Metascala JVM requires a host JVM in order to run.
The goal of Metascala is to create a platform to experiment with the JVM: a 3000 line JVM written in Scala is probably much more approachable than the 1,000,000 lines of C/C++ which make up HotSpot, the standard implementation, and more amenable to implementing fun features like continuations, isolates or value classes. The 3000 lines of code gives you:
The bytecode interpreter, together with all the run-time data structures
A stack-machine to SSA register-machine bytecode translator
A custom heap, complete with a stop-the-world, copying garbage collector
Implementations of parts of the JVM's native interface
Although it is far from a complete implementation, Metascala already provides the ability to run untrusted bytecode securely (albeit slowly), since every operation which could potentially cause harm (including memory allocations and CPU usage) is virtualized and can be controlled. Ongoing work includes tightening of the security guarantees, improving compatibility and increasing performance.
ENJOYIN
This document discusses bytecode weaving and instrumentation in Java. It provides an overview of how the Java Virtual Machine works with heaps, stacks, and bytecode. It then discusses how to modify bytecode either when loading classes or at runtime using bytecode weaving libraries like Javassist and ASM. It provides an example of how to implement a simple memory sandbox using bytecode instrumentation to limit memory allocation in untrusted code.
How do we go from your Java code to the CPU assembly that actually runs it? Using high level constructs has made us forget what happens behind the scenes, which is however key to write efficient code.
Starting from a few lines of Java, we explore the different layers that constribute to running your code: JRE, byte code, structure of the OpenJDK virtual machine, HotSpot, intrinsic methds, benchmarking.
An introductory presentation to these low-level concerns, based on the practical use case of optimizing 6 lines of code, so that hopefully you to want to explore further!
Presentation given at the Toulouse (FR) Java User Group.
Video (in french) at https://www.youtube.com/watch?v=rB0ElXf05nU
Slideshow with animations at https://docs.google.com/presentation/d/1eIcROfLpdTU2_Z_IKiMG-AwqZGZgbN1Bs2E0nGShpbk/pub?start=true&loop=false&delayms=60000
invited netflix talk: JVM issues in the age of scale! We take an under the hood look at java locking, memory model, overheads, serialization, uuid, gc tuning, CMS, ParallelGC, java.
While working with Java applications running on the Java HotSpot VM, we might sometimes encounter problems such as application hangs, memory leaks, unexpected application behavior, or crashes. Troubleshooting such problems can be very hard and tricky. But with knowledge of the right set of tools and utilities for nailing these problems down and how to approach them, troubleshooting can be made much easier and can help us develop stable, reliable, and efficient Java applications. This slides deck covers how we should approach these JVM issues and which tools and utilities are useful for diagnosing and troubleshooting them.
Inside the JVM - Follow the white rabbit! / Breizh JUGSylvain Wallez
Presentation given at the Rennes (FR) Java User Group in Feb 2019.
How do we go from your Java code to the CPU assembly that actually runs it? Using high level constructs has made us forget what happens behind the scenes, which is however key to write efficient code.
Starting from a few lines of Java, we explore the different layers that constribute to running your code: JRE, byte code, structure of the OpenJDK virtual machine, HotSpot, intrinsic methds, benchmarking.
An introductory presentation to these low-level concerns, based on the practical use case of optimizing 6 lines of code, so that hopefully you to want to explore further!
Java manages memory automatically through garbage collection. Objects are stored in heap memory and are eligible for garbage collection when no references to the object exist. The garbage collector runs periodically in its own thread to identify dereferenced objects and free up memory. Programmers cannot force garbage collection but can request it. OutOfMemoryErrors occur when there is insufficient memory for new objects.
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix chooses Linux kernel versions based on desired performance characteristics and receive a firsthand look at how they set kernel tunables, including hugepages. You also hear about Netflix’s use of SR-IOV to enable enhanced networking and their approach to observability, which can exonerate EC2 issues and direct attention back to application performance.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
2. /832
JVM에 대해 스터디하던 내용을
정리하여 공유합니다.
많은 부분이 엑셈에서 출판된
Java Performance Fundmental(김한도 저)
에서 발췌하였습니다.
제 슬라이드는 단지 이에 대한 소개이므로
더 깊은 내용은 위 도서를 직접 보시는 것을 강추!! 드립니다. ^^
34. /83
Execution Engine
34
Server VM vs Client VM
Server VM – advanced adaptive compiler
runtime performance
profiling, optimizing
Client VM - better for GUI
run faster
smaller memory footprint
44. /83
Runtime Data Area
44
Method area
Type Information
(Runtime) Constant Pool
field Information
Method Information
(& bytecode)
Class Variables
…
45. /83
Runtime Data Area
45
Method area
Type Information
(Runtime) Constant Pool
field Information
Method Information
(& bytecode)
Class Variables
…
Class??
72. /83
Garbage Collector
72
CMS Collector – Old Gen
short pausing time
No Compaction
-> disadvantage for fast allocation in
promotion.
if the compaction task is needed,
the STW time can be longer than any
other GC types.