The document discusses the key differences between the Java Development Kit (JDK), Java Runtime Environment (JRE), and Java Virtual Machine (JVM). The JVM is an abstract machine that provides a runtime environment for executing Java bytecode. The JRE implements the JVM and contains libraries and files needed at runtime. The JDK includes the JRE plus development tools like a compiler and debugger. It also explains the runtime data areas of the JVM, including the heap, method area, and stacks that are used by threads.
Introduction to Gatling performance testing tool and how we used it for testing Zonky's REST API. Example of running distributed performance tests in AWS Fargate with real-time monitoring with Logstash/ElasticSearch/Kibana stack.
This is a talk I did for JavaOne 2009. The focus of the talk was memory management and system monitoring with freely available tools that are in the jdk or open source.
Reactive by example - at Reversim Summit 2015Eran Harel
Explaining the reactive manifesto by a real world case study.
This is a cool story about the evolution of our monitoring infrastructure. From the naive approach to a super resilient system.
How do we manage to handle 4M metrics / minute, and over 1K concurrent connections?
What strategies did we try to apply and where did it fail?
What are the techniques and technologies we use in order to achieve this?
How do we handle errors, and failures at this scale?
What can we still improve?
Introduction to Gatling performance testing tool and how we used it for testing Zonky's REST API. Example of running distributed performance tests in AWS Fargate with real-time monitoring with Logstash/ElasticSearch/Kibana stack.
This is a talk I did for JavaOne 2009. The focus of the talk was memory management and system monitoring with freely available tools that are in the jdk or open source.
Reactive by example - at Reversim Summit 2015Eran Harel
Explaining the reactive manifesto by a real world case study.
This is a cool story about the evolution of our monitoring infrastructure. From the naive approach to a super resilient system.
How do we manage to handle 4M metrics / minute, and over 1K concurrent connections?
What strategies did we try to apply and where did it fail?
What are the techniques and technologies we use in order to achieve this?
How do we handle errors, and failures at this scale?
What can we still improve?
Kernel Recipes 2014 - Performance Does MatterAnne Nicolas
Deploying clouds is in everybody’s mind but how to make an efficient deployment ?
After setting up the hardware, it’s mandatory to make a deep inspection of server’s performance.
In a farm of supposed identical servers, many miss-{installation|configuration} could seriously degrade performance. If you want to discovery such counter-performance before users complains of their VMs, you have to be detect them before installing any software. Another performance metric to know is “how many VMs could I load on top of my servers ?”. By using the same methodology it is possible the compare how a set of VMs performs regarding the bare metal capabilities.
The challenge is here: How do detect automatically servers that under perform ? How to insure that a new server entering a farm will not degrade it ? How to measure the overhead of all the virtualization layers from the VM point of view ?
Erwan Velu – Performance Engineer @eNovance
Analyzing Java Applications Using Thermostat (Omair Majid)Red Hat Developers
Ever wondered how your Java application is actually working? How it's making use of scarce resources on your machine? Ever tried to look under the hood of the Java Virtual Machine (JVM) and felt lost with various tools that don't provide an overall picture, only local details? Thermostat is an open source serviceability tool to help Java developers understand what's happening inside the JVM when their programs are running. Thermostat collects and combines information from various sources—including the Hotspot JVM—to present a complete picture of how the application is behaving. In this session, you'll get a chance to see Thermostat in action as it's used to examine various Java applications, identify what's wrong and fix those problems—often without even modifying the application code. You'll also learn how to add more features to Thermostat through plug-ins. If you're a developer, sysadmin, or QA, and if there's Java in your technology stack, you'll want to learn how Thermostat can make your life easier.
KubeCon EU 2019 - P2P Docker Image Distribution in Hybrid Cloud Environment w...Yiran Wang
Docker image is a foundational building block of container based infrastructure, but distributing high volume of docker images in a multi-zone, hybrid cloud system has been a scaling problem for many.
In this talk, we will walk through different approaches we investigated for distributing docker images and introduce Uber’s own solution, Kraken, a P2P docker registry loosely based on BitTorrent protocol, and capable of distributing terabytes of images within seconds.
This talk will cover:
- Image distribution solutions and their characteristics
- Whether you need a p2p solution
- Architecture, performance and security features of Kraken
- How to deploy Kraken in a Kubernetes cluster
Learn C# basics with slides and code based on the Apress "Pro C# 5.0 and the .NET 4.5 Framework" book contents and source code
http://www.apress.com/9781430242338
http://www.apress.com/downloadable/download/sample/sample_id/1328/
AMC Squarelearning Bangalore is the best training institute for a career development. it had students from various parts of the country and even few were from West African countries.
DevNexus 2018: Learn Java 8, lambdas and functional programmingHenri Tremblay
This session walks through tons of examples in live coding. You will learn everything you need to know about lambdas and functional programming in Java 8. I’m the supplier. You’re the consumer (and you will get the joke after the session).
Gave a talk at:
www.meetup.com/SF-Bayarea-Machine-Learning/events/221739934/
Covers basic architecture of a scientific lib and my take on it with nd4j.
Gave a recent talk:
www.meetup.com/SF-Bayarea-Machine-Learning/events/221739934/
Covers some basic terminology of what makes a scientific lib, the problems with the jvm and nd4j as a proposed architecture for solving these problems.
Kernel Recipes 2014 - Performance Does MatterAnne Nicolas
Deploying clouds is in everybody’s mind but how to make an efficient deployment ?
After setting up the hardware, it’s mandatory to make a deep inspection of server’s performance.
In a farm of supposed identical servers, many miss-{installation|configuration} could seriously degrade performance. If you want to discovery such counter-performance before users complains of their VMs, you have to be detect them before installing any software. Another performance metric to know is “how many VMs could I load on top of my servers ?”. By using the same methodology it is possible the compare how a set of VMs performs regarding the bare metal capabilities.
The challenge is here: How do detect automatically servers that under perform ? How to insure that a new server entering a farm will not degrade it ? How to measure the overhead of all the virtualization layers from the VM point of view ?
Erwan Velu – Performance Engineer @eNovance
Analyzing Java Applications Using Thermostat (Omair Majid)Red Hat Developers
Ever wondered how your Java application is actually working? How it's making use of scarce resources on your machine? Ever tried to look under the hood of the Java Virtual Machine (JVM) and felt lost with various tools that don't provide an overall picture, only local details? Thermostat is an open source serviceability tool to help Java developers understand what's happening inside the JVM when their programs are running. Thermostat collects and combines information from various sources—including the Hotspot JVM—to present a complete picture of how the application is behaving. In this session, you'll get a chance to see Thermostat in action as it's used to examine various Java applications, identify what's wrong and fix those problems—often without even modifying the application code. You'll also learn how to add more features to Thermostat through plug-ins. If you're a developer, sysadmin, or QA, and if there's Java in your technology stack, you'll want to learn how Thermostat can make your life easier.
KubeCon EU 2019 - P2P Docker Image Distribution in Hybrid Cloud Environment w...Yiran Wang
Docker image is a foundational building block of container based infrastructure, but distributing high volume of docker images in a multi-zone, hybrid cloud system has been a scaling problem for many.
In this talk, we will walk through different approaches we investigated for distributing docker images and introduce Uber’s own solution, Kraken, a P2P docker registry loosely based on BitTorrent protocol, and capable of distributing terabytes of images within seconds.
This talk will cover:
- Image distribution solutions and their characteristics
- Whether you need a p2p solution
- Architecture, performance and security features of Kraken
- How to deploy Kraken in a Kubernetes cluster
Learn C# basics with slides and code based on the Apress "Pro C# 5.0 and the .NET 4.5 Framework" book contents and source code
http://www.apress.com/9781430242338
http://www.apress.com/downloadable/download/sample/sample_id/1328/
AMC Squarelearning Bangalore is the best training institute for a career development. it had students from various parts of the country and even few were from West African countries.
DevNexus 2018: Learn Java 8, lambdas and functional programmingHenri Tremblay
This session walks through tons of examples in live coding. You will learn everything you need to know about lambdas and functional programming in Java 8. I’m the supplier. You’re the consumer (and you will get the joke after the session).
Gave a talk at:
www.meetup.com/SF-Bayarea-Machine-Learning/events/221739934/
Covers basic architecture of a scientific lib and my take on it with nd4j.
Gave a recent talk:
www.meetup.com/SF-Bayarea-Machine-Learning/events/221739934/
Covers some basic terminology of what makes a scientific lib, the problems with the jvm and nd4j as a proposed architecture for solving these problems.
Previously we had begin with Java Tutorial beginners guide featuring – What is Java , features of Java Programming Language , Java editors and different Java editions and Java Application Types . Now on Java tutorial we begin with the section 2 that is about JVM – Java Virtual Machine . And also about the difference between JDK Vs JRE Vs JVM including other aspects of Java Virtual Machine .
https://maccablo.com/java-virtual-machine-jdk-jre-jvm/
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Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. JDK VS JRE vs JVM
Similarity
JVM, JRE and JDK are platform dependent because configuration of each OS differs.
But, Java is platform independent.
JVM (Java Virtual Machine)
● ~ is an abstract machine
● ~ is a specification that provides runtime environment in which java bytecode can be
executed.
● ~ are available for many hardware and software platforms.
3. JDK VS JRE vs JVM
The JVM performs following main tasks:
● Loads code
● Verifies code
● Executes code
● Provides runtime environment
4. JDK VS JRE vs JVM
JRE
● ~is an acronym for Java Runtime Environment.
● ~ is used to provide runtime environment.
● ~ is the implementation of JVM.
● ~ physically exists.
● ~ contains set of libraries + other files that JVM uses at runtime.
● ~ released and maintained by Sun Micro
5. JDK VS JRE vs JVM
JDK
● ~is an acronym for Java Development Kit.
● ~physically exists.
● ~ It includes:
+ Java Runtime Environment (JRE),
+ an interpreter/loader (Java),
+ a compiler (javac),
+ an archiver (jar),
+ a documentation generator (Javadoc) and other tools needed in
Java development.
7. In Depth JRE (How does JRE works)
JRE consists of the following components:
● Deployment technologies:
○ deployment, Java Web Start and Java Plug-in.
● User interface toolkits:
○ AWT, Swing, Java 2D, Accessibility, Image I/O, Print Service and
more.
● Integration libraries:
○ JDBC, IDL, JNDI, RMI etc
● Other base libraries:
○ I/O, i18, Beans, Math, Networking etc.
8. In Depth JRE (How does JRE works)
● Lang and util base libraries:
○ lang and util, management, versioning, zip, instrument, reflection,
Collections, Concurrency Utilities, Java Archive (JAR), Logging,
Preferences API, Ref Objects and Regular Expressions.
● Java Virtual Machine (JVM):
○ including Java HotSpot Client and Server Virtual Machines.
14. JVM Run-Time Data Areas
Individual Thread :
● Not Shared
● created when a new thread is created
● include program counter register, JVM Stack, and Native Method Stack
○ is used to control each execution of each thread
○ contains frames, throws StackOverFlow error when stack get full
○ is used to support native methods
15. JVM Run-Time Data Areas
Frame: a frame is pushed to the stack when a method is invoked
16. JVM Run-Time Data Areas
Shared by All Threads
All threads share Heap and Method Area
● Heap:
○ most frequently deal with area.
○ It stores arrays and objects, created when JVM starts up.
○ Garbage Collection works in this area.
● Method Area:
○ stores run-time constant pool, field and method data, methods and
constructors code。
●
17. JVM Run-Time Data Areas
Shared by All Threads
All threads share Heap and Method Area
● Runtime Constant Pool:
○ ~is a per-class or per-interface run-time representation of the
constant_pool table in a class file.
○ contains several kinds of constants, ranging from numeric literals known at
compile-time to method and field references that must be resolved at
run-time.