Personal snapshot of the JavaFX eco system in Germany at 25th of October 2017 to work with JavaFX 8 as JDK 8 Update 151 and developer preparation for JavaFX 9 with JDK 9.0.1
This document summarizes some of the key features and changes in Java 9, including Jigsaw modularization, the Reactive Streams API, and other enhancements. Jigsaw modularization (Project Jigsaw) overhauls the Java platform module system and tooling like jlink. The Reactive Streams API standardizes asynchronous stream processing. Other changes include improved performance, documentation, graphics handling, and tooling updates. The modular changes may require code restructuring but encourage cleaner design. Adopting features early helps identify issues.
The feature we always hear about whenever Java 9 is in the news is Jigsaw, modularity. But this doesn't scratch the same developer itch that Java 8's lambdas and streams did, and we're left with a vague sensation that the next version might not be that interesting.
Java 9 actually has a lot of great additions and changes to make development a bit nicer. These features can't be lumped under an umbrella term like Java 8's lambdas and streams, the changes are scattered throughout the APIs and language features that we regularly use.
In this presentation Trisha will show, via live coding:
- What the Java Platform Module System is and how to make your code modular
- How we can use the new Flow API to utilise Reactive Programming
- The improvements to the Streams API that make it easier to control infinite streams
- How to the Collections convenience methods simplify code
Along the way we'll bump into other Java 9 features, including some of the additions to interfaces and changes to deprecation.
This document provides an overview of new features in Java 9 including Jigsaw modularization, reactive programming enhancements, and other updates. Key points covered include better performance from Jigsaw and memory and hardware optimizations, integration of the Reactive Streams API, a new module system that encourages cleaner design and deployments, and the addition of the JShell REPL tool. Potential issues for migration are also noted around structural changes needed and tooling maturity.
Java 9 will include many new features beyond just Jigsaw modules, including enhanced method handles, modular application packaging, and dynamic linking capabilities. It may cause some code to break, so developers are encouraged to try it out now rather than later. Java 9 will improve performance in areas like locking, graphics, and hardware usage. Tooling is being updated for Java 9 as well, with IntelliJ IDEA gaining features like automatic module-info generation and JLink artifact support.
See: https://trishagee.github.io/presentation/real_world_java_9/
In this presentation Trisha will show, via live coding:
- How we can use the new Flow API to utilise Reactive Programming
- How the improvements to the Streams API make it easier to control real-time streaming data
- How to the Collections convenience methods simplify code
Along the way we’ll bump into other Java 9 features, including some of the additions to interfaces and changes to deprecation. We’ll see that once you start using Java 9, you can’t go back to Before.
Java 8 includes many new features and packages such as parallel array sorting, Base64 encoding and decoding, unsigned arithmetic support, and updated JDBC, networking, concurrency, and XML functionality. Performance improvements include hardware-accelerated AES encryption and the removal of PermGen space. Default methods and Java Mission Control 5.3 are also new.
While we’re drawing ever closer to Java 9, and even hearing about features in Java 10, it’s also true that many of us are still working with an older version. Even if your project has technically adopted Java 8, and even if you’re using it when coding new features, it’s likely the majority of your code base is still not making the most of what’s available in Java 8 - features like Lambda Expressions, the Streams API, and new Date/Time.
In this presentation, Trisha:
- Highlights some of the benefits of using Java 8 - after all, you’ll probably have to persuade The Management that tampering with existing code is worthwhile
- Demonstrates how to identify areas of code that can be updated to use Java 8 features
- Shows how to automatically refactor your code to make use of features like lambdas and streams.
- Covers some of the pros and cons of using the new features - including suggestions of when refactoring may NOT be the best idea.
The feature we always hear about whenever Java 9 is in the news is Jigsaw, modularity. But this doesn't scratch the same developer itch that Java 8's lambdas and streams did, and we're left with a vague sensation that the next version might not be that interesting.
Java 9 actually has a lot of great additions and changes to make development a bit nicer. These features can't be lumped under an umbrella term like Java 8's lambdas and streams, the changes are scattered throughout the APIs and language features that we regularly use.
In this presentation Trisha will show, via live coding:
How we can use the new Flow API to utilise Reactive Programming
How the improvements to the Streams API make it easier to control real-time streaming data
How to the Collections convenience methods simplify code
Along the way we'll bump into other Java 9 features, including some of the additions to interfaces and changes to deprecation. We’ll see that once you start using Java 9, you can't go back to Before.
The document provides an overview of tools for monitoring and troubleshooting GlassFish application servers, including command line tools like jps, jstat, jmap, jstack, asadmin, graphical tools like the GlassFish Admin Console and VisualVM, and more advanced tools like Memory Analyzer, Oracle JRockit, the Attach API, instrumentation, and BTrace. It describes examples of using these tools to detect memory leaks, rogue threads, and perform other diagnostic and debugging tasks on a running GlassFish server.
Java 9 and the impact on Maven Projects (ApacheCon Europe 2016)Robert Scholte
The document discusses the impact of Java 9 on Maven projects and provides strategies for Maven and plugins to support Java 9. It outlines changes in Java 9 like the module system and new JAR format that Maven must accommodate. It recommends verifying that plugins work with Java 9 and do not use internal APIs or have duplicate packages. Maven plugins may need to select the module path for compilation in some cases.
Rapid application development with spring roo j-fall 2010 - baris dereBaris Dere
SpringRoo is an open source tool that enables rapid Java web application development. It uses code generation and conventions to quickly generate common structures like entities, repositories, services, and web layers. Developers can focus on business logic rather than boilerplate coding. SpringRoo allows creating full-featured Java applications quickly without compromising on technology choices or best practices. It utilizes standard Java, Spring, AspectJ, and Maven to build applications for easy long-term maintenance and development.
The document provides an overview of the Graal VM, which is a new just-in-time (JIT) compiler for the Java Virtual Machine (JVM) that brings high performance to scripting languages via the Truffle API. It discusses how Graal generates machine code from an optimized AST rather than bytecode, and how the Truffle API allows creation of language interpreters in Graal. Performance benchmarks show Graal improving performance for languages like JavaScript, Ruby, and R compared to other implementations. Future directions include supporting more languages and compiler optimizations in Graal's extensible framework.
Top 10 reasons to migrate to Gradle from any other existing build systems(Ant,Maven):
Actuality
Programmability
Compactness
JVM-based and Java-based
DSL and API
Plugins
Integration
Configurations
Flexibility
Performance
With Java 9, modularity comes to your doorstep (whether you ordered it or not). This isn't your average language feature: making the most out of it may involve rewiring your brain. In this session we explore the benefits of a modular codebase using Java 9 modules. Because who doesn’t like more reliable and secure applications, meanwhile killing the dreaded classpath?
After reviewing the basic concepts of modules, we'll explore modularity patterns that enhance your design and development skills. We all have existing software, so migration of codebases to a modular world is an important topic as well. Automatic modules and other new concepts are added to your toolbox to this end.
Want examples? We've got plenty in this practical and code-driven talk. Even if you intend to use Java 9 without modules, this talk helps you prevent common issues. You'll be ready for Java 9 before you know it.
Both speakers are currently writing “Java 9 Modularity” for O’Reilly, expected early 2017. They have extensive experience under the belt already with the Java 9 Jigsaw early access builds.
What's new with tooling for Spring, Grails, and the Cloudmartinlippert
The document summarizes new tooling developments for Spring, Grails, and Cloud Foundry. Key points include:
1. Spring tooling projects have been modularized and opened source on GitHub to allow individual installation of components like Spring IDE, Grails IDE, and Gradle integration.
2. Two new distributions are available called Spring Tool Suite (STS) and Groovy/Grails Tool Suite (GGTS) that package common tools.
3. New features for STS include support for Spring Data, Spring Integration 2.1, improved templates, and sample projects. Live Beans Graph and Cloud Foundry debugging are also highlighted.
Graeme Rocher presented on upcoming versions of Grails. Grails 2.4 will include upgrades to Spring 4.0, Java 8 support, and the Asset Pipeline plugin. Grails 3.0 plans to embrace Gradle builds, abstract packaging, support non-servlet containers, and extend Grails' reach through profiles like Netty, batch, and Hadoop. It will also build on Spring Boot to enable embedded servers, runnable jars, and scripting/microservices. Key goals are reducing dependencies and bloat.
This document summarizes the key points about Gradle build automation tool. It discusses some limitations of Ant and Maven, how Gradle addresses them using Groovy as its configuration language. Gradle provides features like caching, daemon, plugins, and integration with Maven. It offers better performance than Maven for multi-project builds. The document compares Gradle and Maven build times on sample projects and outlines some pros and cons of Gradle.
This document summarizes key concepts and implementation patterns related to microservices and modularity with Java. It defines microservices as smaller, separated services that communicate with lightweight mechanisms like REST APIs. Core patterns discussed include API gateways, service registries, configuration services, monitoring, and distributed tracing. While microservices improve modularity, the document advocates first considering a modular monolith approach for new projects before splitting into separate services and processes.
This document provides a summary of Git and its features:
Git is a distributed version control system designed by Linus Torvalds for tracking changes in source code during software development. It allows developers to work simultaneously and merge their changes. Key features include rapid branching and merging, distributed development, strong integrity and consistency. Git stores content addressed objects in its database and uses SHA-1 hashes to identify content.
The Making of the Oracle R2DBC Driver and How to Take Your Code from Synchron...VMware Tanzu
SpringOne 2021
Session Title:The Making of the Oracle R2DBC Driver and How to Take Your Code from Synchronous to Reactive
Speakers: Kuassi Mensah, Director of Product Management at Oracle; Michael McMahon, Principal Member of Technical Staff at Oracle
The document discusses serverless computing with Java functions. It outlines some of the challenges with using Java in a serverless environment, including the fact that Java is not typically used for short-lived "apps" and the JVM may not be suitable. It then presents some solutions and blueprints for building serverless Java applications, including using the Fn Project as an open-source serverless platform, developing functions with Java, improving performance of JVM containers, and leveraging the Java ecosystem.
Learn how Autodesk broke the 300,000 issues barrier without impacting performance, keeping excellent uptime, with more than 3000 registered users and average of 1800 concurrent users. In this session you will discover the hardware architecture, system settings and other interesting data from Autodesk experience in the field.
Webcast - Making kubernetes production readyApplatix
Slides from our techical webcast where Harry Zhang and Abhinav Das discuss the problems the Applatix engineering team ran into in building large-scale production apps on Kubernetes and our resulting solutions, tips, and settings to resolve them. Full youtube video of webcast at https://www.youtube.com/watch?v=tbD6Rcm2sI8&spfreload=5
This document provides an overview of Platform as a Service (PaaS) options for Java applications, including Amazon Elastic Beanstalk, Red Hat OpenShift, CloudFoundry, and CloudBees. It discusses the benefits of PaaS for quick deployment and hosting of Java applications. It then describes several popular PaaS platforms in more detail, focusing on their features, pricing, and how they compare for Java development.
The document provides an overview of Azure DevOps and why JavaScript developers should use it. It discusses features like source control, boards for tracking work items, pipelines for continuous integration and delivery, and testing. It also includes a demo of setting up a sample Create React App project in Azure DevOps, including configuring a pipeline to build and deploy the app to an Azure App Service. Resources for learning more about Azure DevOps, using it with JavaScript projects, and understanding Git are also provided.
Project Jigsaw in Java 9 introduces a module system that will modularize the Java platform and enable various improvements. It will allow for strong encapsulation of code and data within modules, improve security and maintainability by hiding non-public APIs, and enable better performance through optimizations and reduced startup time. The modularization also aims to make Java more scalable to small devices and containers by allowing subsets of the platform to be installed.
Show and Tell: Building Applications on Cisco Open SDN Controller Cisco DevNet
The Cisco Open SDN Controller is based on the OpenDaylight SDN Controller and meets the need of Service Providers for a flexible, powerful, and commercially-supported multi-protocol controller. In this 60 minute session we will give an overview of the Cisco Open SDN Controller, explaining how the controller is packaged and the features it supports, and showing examples of applications that are supported by the controller. We will also outline the new features and applications that will be introduced in the next release of the controller. Taught by Giles Heron.
This presentation was given to the Dallas Spring User Group http://www.springdallasug.org/ for educational purposes and made available as a non-profit contribution to the learning community.
The feature we always hear about whenever Java 9 is in the news is Jigsaw, modularity. But this doesn't scratch the same developer itch that Java 8's lambdas and streams did, and we're left with a vague sensation that the next version might not be that interesting.
Java 9 actually has a lot of great additions and changes to make development a bit nicer. These features can't be lumped under an umbrella term like Java 8's lambdas and streams, the changes are scattered throughout the APIs and language features that we regularly use.
In this presentation Trisha will show, via live coding:
How we can use the new Flow API to utilise Reactive Programming
How the improvements to the Streams API make it easier to control real-time streaming data
How to the Collections convenience methods simplify code
Along the way we'll bump into other Java 9 features, including some of the additions to interfaces and changes to deprecation. We’ll see that once you start using Java 9, you can't go back to Before.
The document provides an overview of tools for monitoring and troubleshooting GlassFish application servers, including command line tools like jps, jstat, jmap, jstack, asadmin, graphical tools like the GlassFish Admin Console and VisualVM, and more advanced tools like Memory Analyzer, Oracle JRockit, the Attach API, instrumentation, and BTrace. It describes examples of using these tools to detect memory leaks, rogue threads, and perform other diagnostic and debugging tasks on a running GlassFish server.
Java 9 and the impact on Maven Projects (ApacheCon Europe 2016)Robert Scholte
The document discusses the impact of Java 9 on Maven projects and provides strategies for Maven and plugins to support Java 9. It outlines changes in Java 9 like the module system and new JAR format that Maven must accommodate. It recommends verifying that plugins work with Java 9 and do not use internal APIs or have duplicate packages. Maven plugins may need to select the module path for compilation in some cases.
Rapid application development with spring roo j-fall 2010 - baris dereBaris Dere
SpringRoo is an open source tool that enables rapid Java web application development. It uses code generation and conventions to quickly generate common structures like entities, repositories, services, and web layers. Developers can focus on business logic rather than boilerplate coding. SpringRoo allows creating full-featured Java applications quickly without compromising on technology choices or best practices. It utilizes standard Java, Spring, AspectJ, and Maven to build applications for easy long-term maintenance and development.
The document provides an overview of the Graal VM, which is a new just-in-time (JIT) compiler for the Java Virtual Machine (JVM) that brings high performance to scripting languages via the Truffle API. It discusses how Graal generates machine code from an optimized AST rather than bytecode, and how the Truffle API allows creation of language interpreters in Graal. Performance benchmarks show Graal improving performance for languages like JavaScript, Ruby, and R compared to other implementations. Future directions include supporting more languages and compiler optimizations in Graal's extensible framework.
Top 10 reasons to migrate to Gradle from any other existing build systems(Ant,Maven):
Actuality
Programmability
Compactness
JVM-based and Java-based
DSL and API
Plugins
Integration
Configurations
Flexibility
Performance
With Java 9, modularity comes to your doorstep (whether you ordered it or not). This isn't your average language feature: making the most out of it may involve rewiring your brain. In this session we explore the benefits of a modular codebase using Java 9 modules. Because who doesn’t like more reliable and secure applications, meanwhile killing the dreaded classpath?
After reviewing the basic concepts of modules, we'll explore modularity patterns that enhance your design and development skills. We all have existing software, so migration of codebases to a modular world is an important topic as well. Automatic modules and other new concepts are added to your toolbox to this end.
Want examples? We've got plenty in this practical and code-driven talk. Even if you intend to use Java 9 without modules, this talk helps you prevent common issues. You'll be ready for Java 9 before you know it.
Both speakers are currently writing “Java 9 Modularity” for O’Reilly, expected early 2017. They have extensive experience under the belt already with the Java 9 Jigsaw early access builds.
What's new with tooling for Spring, Grails, and the Cloudmartinlippert
The document summarizes new tooling developments for Spring, Grails, and Cloud Foundry. Key points include:
1. Spring tooling projects have been modularized and opened source on GitHub to allow individual installation of components like Spring IDE, Grails IDE, and Gradle integration.
2. Two new distributions are available called Spring Tool Suite (STS) and Groovy/Grails Tool Suite (GGTS) that package common tools.
3. New features for STS include support for Spring Data, Spring Integration 2.1, improved templates, and sample projects. Live Beans Graph and Cloud Foundry debugging are also highlighted.
Graeme Rocher presented on upcoming versions of Grails. Grails 2.4 will include upgrades to Spring 4.0, Java 8 support, and the Asset Pipeline plugin. Grails 3.0 plans to embrace Gradle builds, abstract packaging, support non-servlet containers, and extend Grails' reach through profiles like Netty, batch, and Hadoop. It will also build on Spring Boot to enable embedded servers, runnable jars, and scripting/microservices. Key goals are reducing dependencies and bloat.
This document summarizes the key points about Gradle build automation tool. It discusses some limitations of Ant and Maven, how Gradle addresses them using Groovy as its configuration language. Gradle provides features like caching, daemon, plugins, and integration with Maven. It offers better performance than Maven for multi-project builds. The document compares Gradle and Maven build times on sample projects and outlines some pros and cons of Gradle.
This document summarizes key concepts and implementation patterns related to microservices and modularity with Java. It defines microservices as smaller, separated services that communicate with lightweight mechanisms like REST APIs. Core patterns discussed include API gateways, service registries, configuration services, monitoring, and distributed tracing. While microservices improve modularity, the document advocates first considering a modular monolith approach for new projects before splitting into separate services and processes.
This document provides a summary of Git and its features:
Git is a distributed version control system designed by Linus Torvalds for tracking changes in source code during software development. It allows developers to work simultaneously and merge their changes. Key features include rapid branching and merging, distributed development, strong integrity and consistency. Git stores content addressed objects in its database and uses SHA-1 hashes to identify content.
The Making of the Oracle R2DBC Driver and How to Take Your Code from Synchron...VMware Tanzu
SpringOne 2021
Session Title:The Making of the Oracle R2DBC Driver and How to Take Your Code from Synchronous to Reactive
Speakers: Kuassi Mensah, Director of Product Management at Oracle; Michael McMahon, Principal Member of Technical Staff at Oracle
The document discusses serverless computing with Java functions. It outlines some of the challenges with using Java in a serverless environment, including the fact that Java is not typically used for short-lived "apps" and the JVM may not be suitable. It then presents some solutions and blueprints for building serverless Java applications, including using the Fn Project as an open-source serverless platform, developing functions with Java, improving performance of JVM containers, and leveraging the Java ecosystem.
Learn how Autodesk broke the 300,000 issues barrier without impacting performance, keeping excellent uptime, with more than 3000 registered users and average of 1800 concurrent users. In this session you will discover the hardware architecture, system settings and other interesting data from Autodesk experience in the field.
Webcast - Making kubernetes production readyApplatix
Slides from our techical webcast where Harry Zhang and Abhinav Das discuss the problems the Applatix engineering team ran into in building large-scale production apps on Kubernetes and our resulting solutions, tips, and settings to resolve them. Full youtube video of webcast at https://www.youtube.com/watch?v=tbD6Rcm2sI8&spfreload=5
This document provides an overview of Platform as a Service (PaaS) options for Java applications, including Amazon Elastic Beanstalk, Red Hat OpenShift, CloudFoundry, and CloudBees. It discusses the benefits of PaaS for quick deployment and hosting of Java applications. It then describes several popular PaaS platforms in more detail, focusing on their features, pricing, and how they compare for Java development.
The document provides an overview of Azure DevOps and why JavaScript developers should use it. It discusses features like source control, boards for tracking work items, pipelines for continuous integration and delivery, and testing. It also includes a demo of setting up a sample Create React App project in Azure DevOps, including configuring a pipeline to build and deploy the app to an Azure App Service. Resources for learning more about Azure DevOps, using it with JavaScript projects, and understanding Git are also provided.
Project Jigsaw in Java 9 introduces a module system that will modularize the Java platform and enable various improvements. It will allow for strong encapsulation of code and data within modules, improve security and maintainability by hiding non-public APIs, and enable better performance through optimizations and reduced startup time. The modularization also aims to make Java more scalable to small devices and containers by allowing subsets of the platform to be installed.
Show and Tell: Building Applications on Cisco Open SDN Controller Cisco DevNet
The Cisco Open SDN Controller is based on the OpenDaylight SDN Controller and meets the need of Service Providers for a flexible, powerful, and commercially-supported multi-protocol controller. In this 60 minute session we will give an overview of the Cisco Open SDN Controller, explaining how the controller is packaged and the features it supports, and showing examples of applications that are supported by the controller. We will also outline the new features and applications that will be introduced in the next release of the controller. Taught by Giles Heron.
This presentation was given to the Dallas Spring User Group http://www.springdallasug.org/ for educational purposes and made available as a non-profit contribution to the learning community.
Christopher Markle has over 15 years of experience as a software engineer specializing in Java development. He has worked on projects involving embedded systems, desktop applications, Eclipse RCP tools, and software for set-top boxes. His background includes skills such as Java, C/C++, JavaScript, Python, SQL, UML modeling, and Agile methodologies. He is currently an independent developer working on a Java tracing tool called JTron.
Framework adoption for java enterprise application developmentClarence Ho
Java enterprise framework description and comparison.
Experience sharing on a project done, include the architect design, challenges and lesson learn.
Some thoughts on choosing framework and how to cope with the rapid change of technology.
This document provides an overview of Oracle's Java strategy and product direction. It discusses plans to enhance Java for productivity, modularity, multi-core processors and new hardware. Key projects include Project Coin, Project Lambda, Project Jigsaw, and improvements to the Java virtual machine, application servers, mobile devices, and open source offerings like GlassFish and NetBeans. The overall goal is to optimize Java for new application models and hardware across servers, desktops, and mobile.
Creating GenAI Apps in Java with SD4J and the ONNX Runtime - MiTechCon - Mic...Juarez Junior
Creating GenAI Apps in Java with SD4J and the ONNX Runtime
Stable diffusion refers to a process in the context of generative models, particularly in generative adversarial networks (GANs).
SD4J (Stable Diffusion for Java) is a new open-source project by Oracle Labs, which is Oracle's Research and Development arm.
With SD4J, you can programmatically generate images in Java applications.
GlassFish Server 3.1: Deploying your Java EE 6 ApplicationsArun Gupta
GlassFish Server 3.1 is the latest version of the open source Java EE application server. It provides improved developer productivity, clustering and high availability capabilities, and supports the latest Java EE 6 specification. Some key features include faster redeployment times, session replication for high availability, modular extensibility through OSGi, and enhanced management and monitoring interfaces. Oracle will continue to invest in GlassFish Server to deliver new Java EE versions quickly and drive further innovation in areas like hybrid application development.
GlassFish Server 3.1 is the latest version of the open source Java EE application server. It provides improved developer productivity and manageability. New features include application versioning support, application scoped resources, improved monitoring, and clustering and high availability for HTTP, EJB, and other services. GlassFish remains focused on Java EE standards, open source development, and providing the best platform for building Java applications.
Presentation on JavaFx Rich Application Framework (RIA) and its comparison with other most prominent RIA frameworks like Flex and Silverlight. JavaFx Vs Flex Vs Sliverlight
JavaFX: A Rich Internet Application (RIA) Development PlatformPraveen Srivastava
JavaFX, with its rich set of APIs and Oracle’s committed support, is a natural choice for high performance, data-centric rich Internet applications. A vibrant JavaFX community continues to develop and support JavaFX porting on mobile platforms.
The document evaluates RIA platforms for selecting a technology for the iFoundry 3.0 project. It discusses requirements, criteria, and compares Adobe Flex, Microsoft Silverlight, Google Web Toolkit (GWT), and Sun JavaFX. Flex is the current leader but GWT or JavaFX may better suit iFoundry's needs as the UI is not complex and offlining/syncing are not required.
- Cloud9 is a fast-growing startup with 30 employees and 2 offices that creates the best JavaScript IDE. Their core product is an online IDE called Cloud9 that uses Node.js and has many features like collaboration, VIM mode, and offline support.
- Cloud9 supports language engineering in the cloud through its plugin architecture and use of language services. These services provide features like syntax checking, code completion through an asynchronous interface.
- Cloud9 aims to expand language support and analyses through open-sourcing components, using their language foundation that provides language services in a technology-agnostic way, and building an extension store.
The document discusses Luxoft's experience in providing digital solutions for modern enterprises. It highlights some of Luxoft's work in industries like automotive, energy, and oil & gas. Specifically, it describes Luxoft's work on a high-voltage direct current solution for electrical power transmission, an integration and asset management platform, hybrid mobile inspection applications, and geoscience software for oil and gas exploration. It also briefly mentions some of Luxoft's research and development work related to oil and gas.
This document discusses the challenges and opportunities of serverless Java. It notes that while Java is one of the most popular languages, its usage in serverless computing has been limited. However, the Fn Project provides an open-source platform that allows for developing serverless Java applications using established Java tooling while achieving low latency and high performance through techniques like container-optimized JVMs and GraalVM compilation. Overall, serverless Java is viable through these "blueprints" and has a promising future as the ecosystem continues to evolve.
Cloud compiler - Minor Project by students of CBPGEC vipin kumar
The document describes a cloud compiler system that allows users to compile, run, test and debug code in various programming languages like Java, HTML, SQL, and C# without installing compilers locally. It discusses key aspects of the system like the objective, introduction, platforms and technologies used like Tomcat server, Java Server Pages, and Struts framework. Some benefits highlighted are that it is user friendly, supports multiple languages, and allows accessing programs from any device with an internet connection.
The document compares and contrasts several rich internet application platforms: Adobe Flex, Microsoft Silverlight, and JavaFX. It provides code examples and summaries of the key features for each platform. Flex is the most mature with a large ecosystem but high learning curve. Silverlight has fewer components than Flex but integrates well with .NET. JavaFX has potential but lacks components and tooling is not as developed as Flex or Silverlight. The document advocates developing rich clients across platforms using a single Eclipse installation.
It's a JDK- Jungle Out There – JDK 15 and OpenJDK 15Wolfgang Weigend
JDK 15 is the open-source reference implementation of version 15 of the Java SE Platform, as specified by by JSR 390 in the Java Community Process. JDK 15 reached General Availability on 15 September 2020. Production-ready binaries under the GPL are available from Oracle; and others. The features and schedule of this release were proposed and tracked via the JEP Process, as amended by the JEP 2.0 proposal. The release was produced using the JDK Release Process (JEP 3).
The document discusses Java Development Kit (JDK) versions 10 and OpenJDK. It provides an overview of JDK 10 including new features like local variable type inference and consolidating the JDK source code into a single repository. It also discusses migrating to JDK 10 and modular development. Finally, it covers OpenJDK, the open source version of Java, including its release cycle and Oracle's OpenJDK builds.
This document provides an agenda and slides for a presentation on Java 10. The agenda includes discussing Java version numbers, Java in containers and open source, migrating to JDK 10, and features of JDK 10. Key features presented are the Java module system, local variable type inference, application class data sharing, root certificates, and the experimental ZGC garbage collector. The slides provide details on each topic and are copyrighted by Oracle.
The document discusses the new versioning scheme for JDK 9, which simplifies the version numbers. Key points include:
1. Version numbers will now be in the format of major.minor.security (e.g. 9.0.1) rather than the previous format.
2. The G1 garbage collector will be the default collector in JDK 9.
3. JEP 222 introduces jshell, a read-eval-print loop for Java that allows interactive testing of code snippets.
Java Flight Recorder article published in Javamagazin May 2017 written in German language. It is Java Flight Recorder version 5.5 with Oracle JDK 8. Any mentioned release dates of JDK 9 are subject to change in this article and under the JDK 9 schedule http://openjdk.java.net/projects/jdk9/
The article "JDK 9 und die Plattformmodularisierung - Die Stichsäge kommt voran" was published in the German Javamagazin 1.2016 and describes the current snapshot of project Jigsaw with the Java platform modularization in the JDK 9 early access release build 83. Examples of the current tool set are included, like jdeps, jimage and jlink as of JDK 9 EA b83. Please be aware of newer JDK 9 early access release builds and the changed proposed JDK 9 release schedule. The proposed date for JDK 9 general availability should be expected in late march 2017 but always check first JDK 9 release schedule at http://openjdk.java.net/projects/jdk9/
The JAXenter article "Automated testing of JavaFX GUI components - Testing JavaFX 8 UI application functionality" describes how JavaFX 8 UI controls could be tested by the automated testing tool QF-Test to enable and proceed test cases lead by the business users. The maturity as given for JavaFX 8 applications, i.e. build with JDK8u40, corresponds to the required quality of the UI, by passing the automated structural test cases.
This is an overview about Java Mission Control and Java Flight Recorder which is part of the Oracle JDK since JDK 7u40. The purpose of JFR is to have a continuous recording about the behavior of the JVM and the Java application at the same time. You can walk back in time and find out whats going on, to discover a specific problem situation in history
The JAXenter article "Automatisiertes Testen von JavaFX GUI-Komponenten" in German language describes how
JavaFX 8 UI controls could be tested by the automated testing tool QF-Test to enable and proceed test cases lead by the business users. The maturity as given for JavaFX 8 applications, i.e. build with JDK8u40, corresponds to the
required quality of the UI, by passing the automated structural test cases.
The article "WebLogic Server verwendet die Basis 12 - Das Dutzend ist voll" was published in the German Java Magazin 9.2012 and introduces WebLogic Server 12c with the complete Java EE 6 certification. Now WebLogic Server 12.1.3 supports Java SE 8 since JavaOne 2014 and WebLogic Server 12.1.3 supports some of the Java EE 7
specifications until it's fully Java EE 7 certified with WLS 12.2.1.
The article "JavaFX goes Open Source" was published in the German Java Magazin in May 2013 and discussed JavaFX on iOS and Android with their implementations.
The outlook from May 2013 comes true and showed an architecture diagram, how mobile applications could be created with OpenJFX & OpenJDK by the Java developer community using e.g. RoboVM for iOS.
Project Nashorn in JDK 8 prove the way towards the polyglot VM. The article “Nashorn ist die neue JVM-basierte JavaScript-Implementierung im JDK 8 - Der Weg zur polyglotten VM” was written in german language and published in the Java magazin in October 2013. Since JDK 8 was introduced in March 2014 the Nashorn JavaScript Engine performance has constantly increased.
The article "JDK 8 im Fokus der Entwickler" in German language should help to embrace Java SE 8 features by developers and adopting these capabilities to test new applications in an early phase for a proven runtime environment or running JDK 8 in enterprises.
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
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Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
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Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
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Adobe Master Collection CC (Creative Cloud) is a comprehensive subscription-based package that bundles virtually all of Adobe's creative software applications. It provides access to a wide range of tools for graphic design, video editing, web development, photography, and more. Essentially, it's a one-stop-shop for creatives needing a broad set of professional tools.
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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.