JavaOne 2016
JMS is pretty simple, right? Once you’ve mastered topics and queues, the rest can appear trivial, but that isn’t the case. The queuing system, whether ActiveMQ, OpenMQ, or WebLogic JMS, provides many more features and settings than appear in the Java EE documentation. This session looks at some of the important extended features and configuration settings. What would you need to optimize if your messages are large or you need to minimize prefetching? What is the best way to implement time-delayed messages? The presentation also looks at dangerous bugs that can be introduced via simple misconfigurations with pooled beans. The JMS APIs are deceptively simple, but getting an implementation into production and tuned correctly can be a bit trickier.
JMS is known as standard way to implement distributed work with messaging in Java world. There are many JMS providers, both open source and commercial. Large percent of developers use JMS for almost every case when they want to sent message and process it on the other side. But now there are many alternative solutions to organize message queues: AMQP, Redis, ZooKeeper, Apache Kafka or even custom solutions based on Cassandra. Why not to use them instead of JMS? In this talk we will discuss key “issues” in any messaging system and then with this knowledge in mind look once again at JMS and alternative approaches using practical cases from my experience. May be after this talk some more people will stop using JMS and start using their mind. :)
JMS is known as standard way to implement distributed work with messaging in Java world. There are many JMS providers, both open source and commercial. Large percent of developers use JMS for almost every case when they want to sent message and process it on the other side. But now there are many alternative solutions to organize message queues: AMQP, Redis, ZooKeeper, Apache Kafka or even custom solutions based on Cassandra. Why not to use them instead of JMS? In this talk we will discuss key “issues” in any messaging system and then with this knowledge in mind look once again at JMS and alternative approaches using practical cases from my experience. May be after this talk some more people will stop using JMS and start using their mind. :)
WebLogic Server Work Managers and Overload ProtectionJames Bayer
A tour of the WebLogic Server work manager and self-tuning thread pool features that automatically adjust to changing workloads and protect the server from overload conditions.
Solving the C20K problem: Raising the bar in PHP Performance and ScalabilityZendCon
How do you configure and tune your PHP applications to handle 20,000
or more concurrent connections to your database on your desktop? This technical session describes how to implement and tune PHP's OCI8 extension with Oracle's Database Resident Connection Pool (DRCP).
Nuxeo JavaOne 2007 presentation (in original format)Stefane Fermigier
This session describes the architecture and implementation of an embeddable, extensible enterprise content management core for Java EE and simpler platforms. The presentation starts by describing the general architectural concepts used as building blocks:
• A schema and document model, reusing XML schemas and making good use of XML namespaces, where document types are built with several facets
• A repository model, using hierarchy and versioning, with the Content Repository API for Java (JSR 170) being one of the possible back ends
• A query model, based on the Java Persistence query language (JSR 220) and reusing the path-based concepts from Java Content Repositories (JCR)
• A fine-grained security model, compatible with WebDAV concepts and designed to provide flexible security policies
• An event model using synchronous and asynchronous events, allowing bridging through Java Message Service (JMS) or other systems to other event-enabled frameworks
• A directory model, representing access to external data sources using the same concepts as for documents but taking advantage of the specificities of the data back ends
Suitable abstraction layers are put in place to provide the required level of flexibility. One of the main architectural tasks is to find commonalities in all the systems used (or whose use is planned in the future) so framework users need to learn and use a minimal number of concepts. The result is a set of concepts that are fundamental to enterprise document management and are usable through direct Java technology-based APIs, Java EE APIs, or SOA. The presentation shows, for each of the main components, which challenges have been met and overcome when building a framework in which all components are designed to be improved and replaced by different implementations without sacrificing backward compatibility with existing ones.
The described implementation, Nuxeo Core, can be embedded in a basic Java technology-based framework based on OSGi (such as Eclipse) or in one based on Java EE, according to the needs of the application using it. This means that the core has to function without relying on Java EE services but also has to take advantage of them when they are available (providing clustering, messaging, caching, remoting, and advanced deployment).
JDK.IO 2016 (http://jdk.io)
Java EE 7 introduced a new batch processing API. This session will go over how to use the batch processing API introduced with Java EE 7. This API is makes it easy to implement long running data/compute intensive jobs which need to be scheduled or initiated on-demand. Basics of the API will be demonstrated via code samples. The API will also be compared to Spring Batching and Hadoop to provide context and guidance on when these technologies are appropriate.
WebLogic Server Work Managers and Overload ProtectionJames Bayer
A tour of the WebLogic Server work manager and self-tuning thread pool features that automatically adjust to changing workloads and protect the server from overload conditions.
Solving the C20K problem: Raising the bar in PHP Performance and ScalabilityZendCon
How do you configure and tune your PHP applications to handle 20,000
or more concurrent connections to your database on your desktop? This technical session describes how to implement and tune PHP's OCI8 extension with Oracle's Database Resident Connection Pool (DRCP).
Nuxeo JavaOne 2007 presentation (in original format)Stefane Fermigier
This session describes the architecture and implementation of an embeddable, extensible enterprise content management core for Java EE and simpler platforms. The presentation starts by describing the general architectural concepts used as building blocks:
• A schema and document model, reusing XML schemas and making good use of XML namespaces, where document types are built with several facets
• A repository model, using hierarchy and versioning, with the Content Repository API for Java (JSR 170) being one of the possible back ends
• A query model, based on the Java Persistence query language (JSR 220) and reusing the path-based concepts from Java Content Repositories (JCR)
• A fine-grained security model, compatible with WebDAV concepts and designed to provide flexible security policies
• An event model using synchronous and asynchronous events, allowing bridging through Java Message Service (JMS) or other systems to other event-enabled frameworks
• A directory model, representing access to external data sources using the same concepts as for documents but taking advantage of the specificities of the data back ends
Suitable abstraction layers are put in place to provide the required level of flexibility. One of the main architectural tasks is to find commonalities in all the systems used (or whose use is planned in the future) so framework users need to learn and use a minimal number of concepts. The result is a set of concepts that are fundamental to enterprise document management and are usable through direct Java technology-based APIs, Java EE APIs, or SOA. The presentation shows, for each of the main components, which challenges have been met and overcome when building a framework in which all components are designed to be improved and replaced by different implementations without sacrificing backward compatibility with existing ones.
The described implementation, Nuxeo Core, can be embedded in a basic Java technology-based framework based on OSGi (such as Eclipse) or in one based on Java EE, according to the needs of the application using it. This means that the core has to function without relying on Java EE services but also has to take advantage of them when they are available (providing clustering, messaging, caching, remoting, and advanced deployment).
JDK.IO 2016 (http://jdk.io)
Java EE 7 introduced a new batch processing API. This session will go over how to use the batch processing API introduced with Java EE 7. This API is makes it easy to implement long running data/compute intensive jobs which need to be scheduled or initiated on-demand. Basics of the API will be demonstrated via code samples. The API will also be compared to Spring Batching and Hadoop to provide context and guidance on when these technologies are appropriate.
Top 50 java ee 7 best practices [con5669]Ryan Cuprak
JavaOne 2016
This session provides 50 best practices for Java EE 7, with examples. The best practices covered focus primarily on JPA, CDI, JAX-WS, and JAX-RS. In addition, topics involving testing and deployment are covered. This presentation points out where best practices have changed, common misconceptions, and antipatterns that should be avoided. This is a fast-paced presentation with many code samples.
50 EJB 3 Best Practices in 50 Minutes - JavaOne 2014Ryan Cuprak
This session provides 50 best practices for EJB 3 in 50 minutes with examples. These best practices involve not only EJB 3.2 but also its integration with other Java EE 7 technologies, not only coding best practices but also testing and production practices. The presentation targets Java EE 7 and also points out where best practices have changed, what patterns you should embrace, and antipatterns to avoid. This is a fast-paced presentation with many code samples. Categories covered include configuration, JPA, concurrency, testing, performance tuning, exception handling, CDI integration, JMS queue patterns, pattern changes, and many more.
Faster java ee builds with gradle [con4921]Ryan Cuprak
JavaOne 2016
It is time to move your Java EE builds over to Gradle! Gradle continues to gain momentum across the industry. In fact, Google is now pushing Gradle for Android development. Gradle draws on lessons learned from both Ant and Maven and is the next evolutionary step in Java build tools. This session covers the basics of switching existing Java EE projects (that use Maven) over to Gradle and the benefits you will reap, such as incremental compiling, custom distributions, and task parallelization. You’ll see demos of all the goodies you’ve come to expect, such as integration testing and leveraging of Docker. Switching is easier than you think, and no refactoring is required.
XQuery is a standardized language for combining documents, databases, Web pages and almost anything else. It is very widely implemented. It is powerful and easy to learn.
ZendCon - Integration and Asynchronous Processing with ActiveMQ and CamelJustin Reock
The modern enterprise landscape is a hybrid of heterogeneous technologies and disparate endpoints. In this session, we’ll discuss ways that you can leverage the flexibility and sophistication of ActiveMQ’s message processing and Camel’s normalized routing to federate your front-end applications with back end services. Beyond integration, we’ll discuss the user experience benefits that come with processing tasks asynchronously, rather than forcing a user to wait for a task to complete interactively. The ActiveMQ and Camel communities have made innovative leaps in the last few years, and we’ll look at what is available to you within these powerful, open source platforms.
Java script nirvana in netbeans [con5679]Ryan Cuprak
JavaOne 2016
NetBeans is not just a Java IDE. It supports JavaScript as a first-class citizen and provides a complete integrated development environment. It also provides project types for server-side JavaScript (Node.js) as well as web browsers and mobile (Apache Cordova). In addition, it supports Grunt, Mocha and Selenium, Angular and Knockout, and more. This session provides an update on NetBeans 8.1 and demonstrates the top new JavaScript features. You will see a Node.js application in action, look at the support for JavaScript unit testing, and also see how easy it is to debug an Apache Cordova application running on a tethered iPhone.
Configuring and maintaining a continuous integration environment is quite a bit of work. It requires ongoing resources both in terms of manpower and hardware infrastructure. As an application evolves so does the number of ongoing projects. The challenge is creating a scalable continuous integration environment which does not impede development and can handle the complexities of Java EE testing. This session covers how to setup and configure a cloud-based continuous integration environment for Java EE applications.
The presentation will focus on demonstrating how to use Atlassian Bamboo running on AWS to build and test a Maven/Gradle Java EE project that uses Arquillian for testing. Topics that will be covered include creating a custom AWS VM for use with Bamboo, creating an Amazon VPC (Virtual Private Cloud) along with test database using Amazon RDS. The presentation will delve into the specifics of testing EJBs, WebSocket endpoints, RESTful web services, as well as performing load testing in this environment. Security, cost control, and build monitoring will be covered as well.
This presentation takes a pragmatic approach to comparing JavaFX and HTML5, using an application written in JavaFX versus the same functionality written in HTML5 to illustrate the pros and cons of each.
At Hootsuite, we've been transitioning from a single monolithic PHP application to a set of scalable Scala-based microservices. To avoid excessive coupling between services, we've implemented an event system using Apache Kafka that allows events to be reliably produced + consumed asynchronously from services as well as data stores.
In this presentation, I talk about:
- Why we chose Kafka
- How we set up our Kafka clusters to be scalable, highly available, and multi-data-center aware.
- How we produce + consume events
- How we ensure that events can be understood by all parts of our system (Some that are implemented in other programming languages like PHP and Python) and how we handle evolving event payload data.
The speaker Jaskey(RocketMQ Committer) shared core features of RocketMQ, including domain model, order message, transactional message, batch message, message filter by SQL92 and so on.
Scale changes everything. Number of connections and destinations went from dozen to thousands, number of messages increased by order of magnitude. What once was quite adequate for enterprise messaging can't scale to support "Internet of Things". We need new protocols, patterns and architectures to support this new world. This session will start with basic introduction to the concept of Internet of things. Next it will discuss general technical challenges involved with the concept and explain why it is becoming mainstream now. Now we're ready to start talking about solutions. We will introduce some messaging patterns (like telemetry and command/control) and protocols (such as MQTT and AMQP) used in these scenarios. Finally we will see how Apache ActiveMQ is gearing up for this race. We will show tips for horizontal and vertical scaling of the broker, related projects that can help with deployments and what the future development road map looks like.
Life in a Queue - Using Message Queue with djangoTareque Hossain
Brief introduction on message queue and how its relevant in web applications
How to tell if your web application could benefit from message queue
Common example of tasks that could benefit from message queues
Choosing a broker/protocol
What broker/protocol PBS Education chose and why
Message queue solution architecture
Brief introduction on celery/carrot
Writing a message queue task using celery
How to invoke a message queue taks
What happens when you invoke a task (walk through architecture)
How to write tasks efficiently
What are the things that are good to know when writing tasks (things we experienced at PBS Education)
The 100% open source WSO2 Message Broker is a lightweight, easy-to-use, distributed message-brokering server. It features high availability (HA) support with a complete hot-to-hot continuous availability mode, the ability to scale up to several servers in a cluster, and no single point of failure. It is designed to manage persistent messaging and large numbers of queues, subscribers and messages.
This presentation is about -
Understanding WLS Clustering,
The Architecture of Cluster and Cluster configuration and planning,
WLS Communications in a Cluster,
Cluster configuration,
for more details visit -
http://vibranttechnologies.co.in/weblogic-classes-in-mumbai.html
The venerable Servlet Container still has some performance tricks up its sleeve - this talk will demonstrate Apache Tomcat's stability under high load, describe some do's (and some don'ts!), explain how to performance test a Servlet-based application, troubleshoot and tune the container and your application and compare the performance characteristics of the different Tomcat connectors. The presenters will share their combined experience supporting real Tomcat applications for over 20 years and show how a few small changes can make a big, big difference.
"Enterprise Messaging with RabbitMQ" by Luis Majano is a comprehensive presentation that explores the concept of enterprise messaging and demonstrates how RabbitMQ, a widely used message broker, can facilitate effective communication within complex software systems. This presentation aims to provide a deep understanding of messaging patterns, architectures, and the benefits of adopting RabbitMQ in enterprise-level applications.
The presentation begins by introducing the fundamental principles of enterprise messaging and its significance in modern software development. It emphasizes the need for scalable, reliable, and decoupled communication between components and systems to ensure seamless operation and flexibility.
Luis Majano, an expert in enterprise software development, then delves into the key features and capabilities of RabbitMQ. He explains how RabbitMQ enables the implementation of various messaging patterns such as publish/subscribe, request/reply, and message routing. The presentation highlights the versatility of RabbitMQ in handling different messaging scenarios and discusses its integration possibilities with different programming languages and frameworks.
Moreover, the presentation addresses crucial concepts related to RabbitMQ, including exchanges, queues, bindings, and message acknowledgment. It explains how these components work together to enable message routing, filtering, and delivery guarantees in complex distributed systems.
Luis Majano also demonstrates the practical implementation of RabbitMQ through code examples and architectural diagrams. He illustrates how to set up RabbitMQ clusters for high availability and scalability, and how to handle common messaging challenges such as message persistence, fault tolerance, and load balancing.
Throughout the presentation, Luis Majano shares best practices, tips, and strategies for designing and implementing robust messaging solutions using RabbitMQ. He discusses message serialization, error handling, monitoring, and performance optimization techniques to ensure optimal message throughput and system responsiveness.
Oracle Fuson Middleware Diagnostics, Performance and TroubleshootMichel Schildmeijer
Improvement and new insights on getting the best of operational performance of an Oracle Fusion Middleware platform. At customers, usually their technology stack is build on various components of Oracle, such as databases, WebLogic, Oracle Service Bus, SOA and BPM, ADF, WebCenter and so on. This can be a very complicated stack and out of the box parameters are not enough to give an overall good performance and low error rates. This presentation tells you the ins and outs on every layer regarding performance and diagnose methods and tools.
Matteo Merli, the tech lead for Cloud Messaging Service at Yahoo, went through their design decisions, how they reached that and how they leverage Apache BookKeeper to implement a multi-tenant messaging service.
Microservices - opportunities, dilemmas and problemsŁukasz Sowa
Presentation from Warsjawa 2014 workshop "Microservices in Scala". Topics covered:
- What are microservices?
- What's the difference between them vs monolithic
architectures?
- What are the different flavours of microservices?
NYJavaSIG - Big Data Microservices w/ SpeedmentSpeedment, Inc.
JAVA MICROSERVICES FOR BIG DATA WITH LOW LATENCY - Per-Ake Minborg, CTO Speedment
By leveraging on memory mapped files (eg. Hazelcast, ChronicleMaps etc.), Speedment supports large Java Maps that easily can exceed the size of your server’s RAM. Because the Java Maps are mapped onto files, these maps can be shared instantly between several microservice JVMs and new microservice instances can be added, removed or restarted very quickly. Data can be retrieved with predictable ultra-low latency for a wide range of operations. The solution can be synchronized with an underlying database so that your in-memory maps will be consistently “alive”. The mapped files can be terabytes which has been done in real world deployment cases and there can be a large number of microservices that shares these maps simultaneously.
My talk at ScaleConf 2017 in Cape Town on some tips and tactics for scaling WordPress, with reference to WordPress.com and the container-based VIP Go platform.
Video of my talk is here: https://www.youtube.com/watch?v=cs0DcY80spw
MongoDB: How We Did It – Reanimating Identity at AOLMongoDB
AOL experienced explosive growth and needed a new database that was both flexible and easy to deploy with little effort. They chose MongoDB. Due to the complexity of internal systems and the data, most of the migration process was spent building a new identity platform and adapters for legacy apps to talk to MongoDB. Systems were migrated in 4 phases to ensure that users were not impacted during the switch. Turning on dual reads/writes to both legacy databases and MongoDB also helped get production traffic into MongoDB during the process. Ultimately, the project was successful with the help of MongoDB support. Today, the team has 15 shards, with 60-70 GB per shard.
Embracing Jakarta EE 10 not only enable you to write better structured applications, it also enables you to write more testable applications. Correctly leveraging CDI enables integration testing where you can simulate a database error and verify that JMS messages are lost due to a RuntimeException. This session will focus on strategies and techniques for testing message handing, transaction management, security, and data model integrity. You will see how you can check message delivery and error handling, session failover, database versioning, and two-phase commits with JMS and databases. All too often assumptions are made that are proven wrong in production. This session will show you how to take your testing to the next level.
DIY Home Weather Station (Devoxx Poland 2023)Ryan Cuprak
Weather is a fascinating and important aspect of our lives, and with the rise of smart home technology, it has become easier than ever to track and monitor weather conditions in your own backyard. In this presentation, I will explore the process of building a home weather station.
I will discuss the hardware components needed to build a weather station, including sensors for temperature, humidity, pressure, and precipitation, as well as the embedded board itself. I will also cover the programming aspect of the project, including how to read data from the sensors and transmit it wirelessly to the cloud.
By the end of this presentation, you will have a solid understanding of how to build and program a home weather station using Arduino, and how to customize and expand the project to fit your specific needs.
Jakarta EE is now over 20 years old and despite its age, it is as relevant today as it was back in 1999. It is one of the few open standards for developing enterprise applications with multiple independent vendor implementations. Its APIs are central to developing Java based cloud solutions. It is as relevant today as it was back in 1999. This presentation will provide context to Jakarta EE and why businesses choose to use it.
The new GraalVM from Oracle supports multiple language including JavaScript, Python, Ruby, R, C++ as well as Java and other JVM languages. This opens up interesting possibilities for polygot enterprise applications. Now you can use a Node library in a Java application or call an R statistical function from an EJB. Previously, this type of integration was extremely challenging. This session will provide recipes to get up and running along with best practices and some cool demos.
Code: https://github.com/rcuprak/graalvm_jee
Exploring Java Heap Dumps (Oracle Code One 2018)Ryan Cuprak
Memory leaks are not always simple or easy to find. Heap dumps from production systems are often gigantic (4+ gigs) with millions of objects in memory. Simple spot checking with traditional tools is woefully inadequate in these situations, especially with real data. Leaks can be entire object graphs with enormous amounts of noise. This session will show you how to build custom tools using the Apache NetBeans Profiler/Heapwalker APIs. Using these APIs, you can read and analyze Java heaps programmatically to ask really hard questions. This gives you the power to analyze complex object graphs with tens of thousands of objects in seconds.
Node.js Development with Apache NetBeansRyan Cuprak
This session covers the basics of developing Node.js applications with NetBeans. NetBeans includes fully integrated support for both JavaScript and Node.js. You’ll get a tour of the features and learn how NetBeans can accelerate your projects. The presentation looks at basic code editing capabilities provided by the IDE, tool integration (npm/Grunt/Bower/Webpack), frameworks such as Express, and debugging capabilities. You’ll see why NetBeans is the best free JavaScript/Node.js IDE.
Java 9 ships in July, are you ready for Java 9 modules? Java 9 modules (aka Project Jigsaw) is the biggest fundamental change to the Java runtime. Code that use Oracle/Sun private APIs will break. This session will cover the basics of Java 9 modules and also the current state of tooling. The ramifications to existing and legacy applications will be covered along with the steps you’ll need to take to harness the power of modules and write more maintainable systems.
Java EE 8 Presentation given at NYC Java SIG on May 4, 2017. This presentation provides the latest information on the forthcoming release of Java EE 8 in June.
Combining R With Java For Data Analysis (Devoxx UK 2015 Session)Ryan Cuprak
Java is a general-purpose language and is not particularly well suited for performing statistical analysis. Special languages and software environments have been created by and for statisticians to use. Statisticians think about programming and data analysis much different from Java programmers. These languages and tools make it easy to perform very sophisticated analyses on large data sets easily. Tools, such as R and SAS, contain a large toolbox of statistical tools that are well tested, documented and validated. For data analysis you want to use these tools.
In this session we will provide an overview of how to leverage the power of R from Java. R is the leading open source statistical package/language/environment. The first part of the presentation will provide an overview of R focusing on the differences between R and Java at the language level. We’ll also look at some of the basic and more advanced tests to illustrate the power of R. The second half of the presentation will cover how to integrate R and Java using rJava. We’ll look at leverage R from the new Java EE Batching (JSR 352) to provide robust statistical analysis for enterprise applications.
Hybrid Mobile Development with Apache Cordova and Java EE 7 (JavaOne 2014)Ryan Cuprak
Java EE 7 provides a strong foundation for developing the back end for your HTML5 mobile applications. This heavily code-driven session shows you how you can effectively utilize Java EE 7 as a back end for your Apache Cordova mobile applications. The session demonstrates Java EE 7 technologies such as JAX-RS 2.0, WebSocket, JSON-P, CDI, and Bean Validation. It provides an overview of the basics of Apache Cordova as well as the tooling support added in NetBeans 8. The session also demonstrates an integrated approach to rapidly developing HTML5 mobile applications with Java EE 7 and NetBeans and concludes with best practices and pitfalls.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
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Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
6. #1 Upgrade Code to EE 7
Major changes in Java EE 7 (JMS 2.0)
Introduced in Java EE 7:
• JMSContext – replaces Connection and Session
• JMSProducer – replaces MessageProducer
• JMSConsumer – replaces MessageConsumer
Best Practice
13. #3 Exception Handling…
Runtime Exception:
• Rollback and re-delivery of message
• Destruction of MDB and possibly connection
Best Practice
14. #4 Which of these are optional?
1. JMSMessageID
2. Overriding Message Header Fields
3. JMS Defined Properties
4. Provider Specific Properties
5. Distributed Transactions
6. Multiple Sessions
All of them!
Best Practice
15. #5 Pre-fetching
• Message consumer (RAR) pre-fetches a set of
messages to distribute to consumers (MDBs).
• Poorly configured pre-fetch
• Starve other consumers
• Heap exhaustion
• Default ActiveMQ: 1000 messages!
Gotcha
20. #7 Wire Protocols
What are the different wire protocols and what are their unique
features?
• Openwire
• Cross language wire protocol for messaging
• Native protocol for ActiveMQ
• AMQP – Advanced Message Queuing Protocol
• ISO 19464 – binary wire protocol with widespread adoption
• Designed for high performance interoperable messaging
• MQTT – Message Queue Telemetry Transport
• Simple binary protocol – good for embedded/mobile
• Stomp – Simple/Streaming Text Oriented Messaging Protocol
• Text based protocol with simple semantics
Are you using the right wire protocol?
Best Practice
21. #7 Wire Protocols & MOM
MOM OpenWire AMQP MQTT Stomp Other
OpenMQ X X
ActiveMQ X X X X
RabbitMQ X X X
HornetQ X X
WebLogic X
WebSphere MQ X X
• MQTT – IoT/embedded/mobile
• Stomp – WebSockets – not high volume
Best Practice
22. #8 Dead Letter Queue
What is the dead letter queue and why should I care?
• Message that is repeatedly refused by a client.
• JMS provider will retry multiple times.
• Messages ultimately moved to Dead Letter Queue
(DLQ)
Order Queue Update Queue Update Queue
Update Queue
Best Practice
23. #8 Dead Letter Queue…
• Hundreds of messages
• How to recover?
Best Practice
24. #8 Dead Letter Queue…
ActiveMQ DLQ configuration – DLQ per queue.
Best Practice
25. #9 Expiring Messages
What’s wrong with the following code?
1. Message.setJMXExpiration() is for use by the
container.
2. Ignored if you set it.
Gotcha
26. #9 Expired Messages & DLQ
• Expired messages dumped to DLQ
• Messages build-up over time!
Best Practice
27. #9 Expired Messages & DLQ…
ActiveMQ solution
HornetQ
HornetQ messages are lost unless configured.
Best Practice
29. #10 MDP Pools…
• Don’t accept default MDB pool sizes.
• Monitor and adjust MDB pool sizes based on load.
glassfish-ejb-jar.xml
Best Practice
30. #11 Types of JMS Messages
What are the different types of messages types?
StreamMessage Serialized stream of objects.
MapMessage Message composed of name/value pairs. Names must be
unique.
TextMessage Simple message for Strings.
ObjectMessage Message consisting of a serialized Java Object.
BytesMessage Raw stream of bytes.
WebLogic includes XMLMessage:
• Optimized for XML.
• Supports filtering on XML content.
Best Practice
33. #13 Web Socket and JMS
Java EE 7 Server
Web Socket
Endpoint
JMS Provider
JMS Provider
Stomp over Web Sockets
Best Practice
34. #13 Web Socket and JMS…
• Stomp protocol is a simple text-oriented messaging
protocol.
• Messaging server must support WebSockets
• Initial handshake is HTTP
• Message providers supporting STOMP & WebSockets:
• ActiveMQ
• RabitMQ
• WebLogic
• Enable for ActiveMQ:
<transportConnector name="ws" uri="ws://0.0.0.0:61614"/>
Best Practice
35. #14 Delayed Message Delivery
Can I send a message but have it delayed?
Extended feature in ActiveMQ.
• Send delay (AMQ_SCHEDULED_DELAY)
• Re-send delay (AMQ_SCHEDULED_PERIOD)
• Repeat count (AMQ_SCHEDULED_REPEAT)
Best Practice
36. #15 Priority & Messages
What does message priority mean?
• Message priority scale: 0-9 (0: lowest 9: highest)
• Default message priority: 4
• JMS specification does not require a provider strictly implement message ordering.
• Not dependable!
Best Practice
37. #15 Priority & Messages
Enforcing priority:
• Apache Camel with Resequencer
• http://camel.apache.org/resequencer.html
• Use Selectors:
• JMSPriority > 6
• JMSPriority < 6
Best Practice
39. #16 Protocol Framing
Client exception:
Server Exception
WARN | Transport Connection to: tcp://127.0.0.1:54025 failed:
java.io.IOException: Frame size of 404 bytes larger
Best Practice
40. #17 Leaks & Variable Loads
Load testing always at 100%?
Scenario:
• Message Driven Bean with a connection to a remote
resource.
• Standing pool size: 3
Gotcha
42. #18 Advisory Messages
Extended ActiveMQ feature:
• Consumers, producers and connections starting and
stopping
• Temporary destinations being created and destroyed
• messages expiring on topics and queues
• Brokers sending messages to destinations with no
consumers.
• Connections starting and stopping
Best Practice
44. #20 Know your Activation Spec Properties
Property Required Default Description
acknowledgeMode Auto-acknowledge Auto-acknowledge or Dups-ok-
acknowledge
clientId Set n RA Required for durable
destinationType X null Queue or Topic
Destination X null Destination name
enableBatch false Transaction batching
maxMessagesPerBatch 10 Message per transaction batch
maxMessagesPerSessions 10 Pre-fetch size
maxSessions 10 Max concurrent sessions
messageSelector null Selector
noLocal false Include local msg?
ActiveMQ
Best Practice
45. #20 Know your Activation Spec Properties
Property Default Description
password Set inRA Password for JMS connection
subscriptionDurability NonDurable NonDurable or Durable
subscriptionName null Name of subscription
userName Set in RA Username for JMS connection
useRAManagedTransaction false
initialRedeliveryDelay 1000 Re-delivery delay
maximumRedeliveries 5 Max re-deliveries
redeliveryBackOffMultiplier 5 Multiplier for back-off.
redeliveryUseExponentialBackOff false Configures exponential back-off.
ActiveMQ
Best Practice
46. #20 Know your Activation Spec Properties
• ActiveMQ – only 2 properties were required
• Key tuning questions:
• Individual messages take a long time to process?
• Many messages or few messages?
• Batch processing of messages?
• Ok to process duplicates?
Best Practice
47. #21 Configuration Conflicts
Default for configuration for an MDB and ActiveMQ RA:
• Max MDB Pool Size (default 25)
• Max Sessions (default 10)
• MaxMessagesPerSessions (default 10)
How many messages can we
process concurrently?
10
Best Practice
48. #22 Configure Message Persistence
• JMS message providers message persistence is often
configurable and tunable
• Concerns:
• Available file/descriptors and disk space
• I/O throughput
• Flush frequencies
• ActiveMQ
• KahaDB – file-based transaction data store (journaled)
• AMQ message store – file based store, file per destination,
index must be rebuilt for non-planned termination
• JDBC message store
Best Practice
49. #22 Configure Message Persistence…
API does exist for ActiveMQ KahaDB!
Best Practice
50. #23 Deadlocked Consumer
Consumer blocks!
• Pre-fetched messages are stuck in limbo
• App cannot be un-deployed
• App container may not shutdown properlyGotcha
51. #24 Multiple Destinations
• ActiveMQ supports sending messages to multiple
queues and topics.
• Targets should be a comma separated list.
• Use prefix topic:// or queue://
Extended Feature
52. #25 Multiple Destination Consumption
• ActiveMQ supports consuming messages from multiple destinations
– both queues and topics
• Destination naming:
• ‘.’ separates elements in a destination name
• ‘*’ matches one element
• ‘>’ matches one or all trailing elements
• Example topics:
• us.ca.sfo.takeoffs
• us.ca.sfo.landings
• us.ca.lax.takeoffs
• us.ct.bdl.takeoffs
• Patterns:
• *.*.*.takeoffs – receive all takeoff messages
• us.ca.> - all landings and takeoffs in CA
Extended Feature
54. #26 GlassFish 4 Bug
Containers can have bugs!
• GlassFish 3.x no message delay with MDBs and
ActiveMQ.
• GlassFish 4.1.1 2 minute delay with messages from
ActiveMQ but NOT OpenMQ
Gotcha
59. #28 Concurrency
Following objects support concurrent access:
• ConnectionFactory
• Connection
• Destination
Following object DO NOT support concurrent access:
• Session
• MessageProducer
• MessageConsumer
Best Practice
60. #29 JMSX Properties
Property Matched Modified Description
JMSXUserID X X Id of user sending message
JMSXAppID X X App sending message
JMSXProducerTXID Producer transaction id
JMSXConsumerTXID Transaction ID consumer
JMSXRcvTimestamp Time delivered to consumer
JMSXDeliveryCount X Delivery attempts
JMSXState Provider specific state
JMSXGroupID X X Message group id
JMSXGroupSeq X X Sequence number in group
No all properties are supported by all providers!
Best Practice
61. #30 Message Groups
• Message Groups:
• Guaranteed ordering of the processing of related messages
across a single queue
• Load balancing across multiple consumers.
• High availability / auto-failover
• Usage:
• message.setStringProperty("JMSXGroupID", ”JavaOne");
• message.setIntProperty("JMSXGroupSeq”,1);
• message.setIntProperty("JMSXGroupSeq”,-1); // closes group
• ActiveMQ enhancement:
• JMSXGroupFirstForConsumer
Best Practice
62. #31 Message Selectors
• Message selectors used to filter messages.
• Selectors use subset of SQL92
• Selectors cannot reference payload, only header
properties
Literals TRUE/FALSE, numbers, scientific notation
Identifiers Header or property field.
Operators AND, OR, LIKE, BETWEEN, =, <>, <, >, <=, =>,
+, -, *, /, IS NULL, IS NOT NULL
Best Practice
63. Best Practices
• High availability (HA) for production
• Protect queues/topics with passwords
• Enable and configure SSL
• Configure provider data store
• Backup provider data store
• Configure DQL policy
• Monitor DLQ
• Add descriptive message headers
• Pick and tune messaging transport
• Use Apache Camel and integration patterns