The document discusses the Java EE 7 platform and its focus on developing applications for the cloud. It outlines the modular structure of Java EE 7 applications and services, and how this modularity supports deployment on cloud platforms. Key areas that Java EE 7 addresses for cloud development include multi-tenancy, elastic scaling, resource management, and security.
Java EE 6 & GlassFish 3: Light-weight, Extensible, and Powerful @ Silicon Val...Arun Gupta
Java EE 6 and GlassFish 3 provide a light-weight, extensible, and powerful platform. Key features include a web profile, pruning of unused specifications, support for open source frameworks, and easier development models with annotations and reduced configuration files. GlassFish 3 is the open source reference implementation of the Java EE 6 platform and includes new features like clustering and centralized administration.
Java EE 6 and GlassFish v3: Paving the path for futureArun Gupta
This session presents the GlassFish™ Tools Bundle for Eclipse, which can be used for creating Java EE 6 applications and configuring, deploying, and monitoring the GlassFish application server.
GIDS 2012: PaaSing a Java EE ApplicationArun Gupta
This document discusses deploying Java EE applications to Platform as a Service (PaaS) and describes how PaaS impacts deployment. Key points include:
- PaaS simplifies deployment through single-click, self-service application deployment.
- Services are automatically provisioned and managed by the PaaS, handling infrastructure concerns like load balancing, high availability, and scaling.
- Java EE is well-suited for PaaS through its design principles of scalable components and declarative resource references that allow the PaaS to manage the runtime environment.
The document discusses simplifying the Java Message Service (JMS) API in version 2.0. Some ways it aims to simplify the API include reducing the need to create intermediate objects just to satisfy the API, removing redundant arguments, and reducing boilerplate exception handling code when sending messages. The early draft of JMS 2.0 focuses on simplifying the API and making it easier to use, as well as improving integration with application servers and adding new features.
Java EE 6 and GlassFish v3 aim to make Java EE more flexible, lightweight, and easier to develop on. Key features of Java EE 6 include profiles, extensibility through frameworks and web fragments, and annotations that reduce the need for deployment descriptors. GlassFish v3 is the open source reference implementation of Java EE 6 and includes new capabilities like monitoring, administration via REST, and deployment-on-save for increased productivity. Oracle plans to continue GlassFish as the Java EE reference implementation and add it to their WebLogic offerings.
Java EE 6 & GlassFish v3: Paving the path for the future - Spark IT 2010Arun Gupta
Java EE 6 and GlassFish v3 aim to pave the path for the future by making Java EE more flexible, extensible, and easier to develop on. Key aspects include profiles, pruning technologies, embracing open source frameworks, and continued focus on reducing configuration and improving the programming model with annotations. GlassFish v3 is the open source reference implementation of Java EE 6 and includes new features like modularity, embeddability, and light-weight monitoring.
Java EE 6 : Paving The Path For The FutureIndicThreads
“The Java EE platform is getting an extreme makeover with the upcoming version ? Java EE 6. It is developed as JSR 316 under the Java Community Process.
The Java EE 6 platform adds more power to the platform and yet make it more flexible so that it can be adopted to different flavors of an application. It breaks the ‘one size fits all’ approach with Profiles and improves on the Java EE 5 developer productivity features. It enables extensibility by embracing open source libraries and frameworks such that they are treated as first class citizens of the platform.
Several new specifications such as Java Server Faces 2.0, Servlet 3.0, Java Persistence API 2.0, and Java Context Dependency Injection 1.0 are included in the platform. All these specifications are implemented in GlassFish v3 that providesa light-weight, modular, and extensible platform for your Web applications.
This session provides an overview of Java EE 6 and GlassFish v3. Using multiple simple-to-understand samples it explains the value proposition provided by Java EE 6. “
Java EE 6 & GlassFish v3 at Vancouver JUG, Jan 26, 2010Arun Gupta
Java EE 6 and GlassFish v3 are paving the path for the future by making Java EE more flexible, extensible, and easier to develop on. Key features of Java EE 6 include the new Web Profile specification, annotations for easier programming, and support for open source frameworks and dynamic languages. GlassFish v3 is the reference implementation of Java EE 6 and includes enhancements for modularity, embeddability, and extensibility.
Java EE 6 & GlassFish 3: Light-weight, Extensible, and Powerful @ Silicon Val...Arun Gupta
Java EE 6 and GlassFish 3 provide a light-weight, extensible, and powerful platform. Key features include a web profile, pruning of unused specifications, support for open source frameworks, and easier development models with annotations and reduced configuration files. GlassFish 3 is the open source reference implementation of the Java EE 6 platform and includes new features like clustering and centralized administration.
Java EE 6 and GlassFish v3: Paving the path for futureArun Gupta
This session presents the GlassFish™ Tools Bundle for Eclipse, which can be used for creating Java EE 6 applications and configuring, deploying, and monitoring the GlassFish application server.
GIDS 2012: PaaSing a Java EE ApplicationArun Gupta
This document discusses deploying Java EE applications to Platform as a Service (PaaS) and describes how PaaS impacts deployment. Key points include:
- PaaS simplifies deployment through single-click, self-service application deployment.
- Services are automatically provisioned and managed by the PaaS, handling infrastructure concerns like load balancing, high availability, and scaling.
- Java EE is well-suited for PaaS through its design principles of scalable components and declarative resource references that allow the PaaS to manage the runtime environment.
The document discusses simplifying the Java Message Service (JMS) API in version 2.0. Some ways it aims to simplify the API include reducing the need to create intermediate objects just to satisfy the API, removing redundant arguments, and reducing boilerplate exception handling code when sending messages. The early draft of JMS 2.0 focuses on simplifying the API and making it easier to use, as well as improving integration with application servers and adding new features.
Java EE 6 and GlassFish v3 aim to make Java EE more flexible, lightweight, and easier to develop on. Key features of Java EE 6 include profiles, extensibility through frameworks and web fragments, and annotations that reduce the need for deployment descriptors. GlassFish v3 is the open source reference implementation of Java EE 6 and includes new capabilities like monitoring, administration via REST, and deployment-on-save for increased productivity. Oracle plans to continue GlassFish as the Java EE reference implementation and add it to their WebLogic offerings.
Java EE 6 & GlassFish v3: Paving the path for the future - Spark IT 2010Arun Gupta
Java EE 6 and GlassFish v3 aim to pave the path for the future by making Java EE more flexible, extensible, and easier to develop on. Key aspects include profiles, pruning technologies, embracing open source frameworks, and continued focus on reducing configuration and improving the programming model with annotations. GlassFish v3 is the open source reference implementation of Java EE 6 and includes new features like modularity, embeddability, and light-weight monitoring.
Java EE 6 : Paving The Path For The FutureIndicThreads
“The Java EE platform is getting an extreme makeover with the upcoming version ? Java EE 6. It is developed as JSR 316 under the Java Community Process.
The Java EE 6 platform adds more power to the platform and yet make it more flexible so that it can be adopted to different flavors of an application. It breaks the ‘one size fits all’ approach with Profiles and improves on the Java EE 5 developer productivity features. It enables extensibility by embracing open source libraries and frameworks such that they are treated as first class citizens of the platform.
Several new specifications such as Java Server Faces 2.0, Servlet 3.0, Java Persistence API 2.0, and Java Context Dependency Injection 1.0 are included in the platform. All these specifications are implemented in GlassFish v3 that providesa light-weight, modular, and extensible platform for your Web applications.
This session provides an overview of Java EE 6 and GlassFish v3. Using multiple simple-to-understand samples it explains the value proposition provided by Java EE 6. “
Java EE 6 & GlassFish v3 at Vancouver JUG, Jan 26, 2010Arun Gupta
Java EE 6 and GlassFish v3 are paving the path for the future by making Java EE more flexible, extensible, and easier to develop on. Key features of Java EE 6 include the new Web Profile specification, annotations for easier programming, and support for open source frameworks and dynamic languages. GlassFish v3 is the reference implementation of Java EE 6 and includes enhancements for modularity, embeddability, and extensibility.
Understanding the nuts & bolts of Java EE 6Arun Gupta
The document discusses new features in Java EE 6 including managed beans 1.0 and interceptors 1.1. Managed beans 1.0 allow using POJOs as managed components with basic services like resource injection and lifecycle callbacks. Interceptors 1.1 allow intercepting method invocations and lifecycle events on target classes through annotations or deployment descriptors.
The document discusses how Servlets 3.0 in Java EE 6 provides an easier development experience through annotations-based programming, extensibility features like pluggable web fragments, and dynamic registration of servlets and filters using a ServletContainerInitializer. It also covers how frameworks like Java Server Faces leverage these new Servlets 3.0 features to simplify deployment.
Java EE 6 & GlassFish v3: Paving the path for the future - Tech Days 2010 IndiaArun Gupta
This document discusses Java EE 6 and GlassFish v3. It outlines the goals of making Java EE more lightweight, extensible, and easier to develop on. Key features of Java EE 6 include a web profile, pruning of specifications, embrace of open source frameworks, and continued focus on ease of development. GlassFish v3 is the reference implementation and is modular, embeddable, extensible, and supports dynamic languages and frameworks.
Java EE 6 & GlassFish = Less Code + More Power at CEJUGArun Gupta
The document discusses Java EE 6 and GlassFish, which provide developers with more power and flexibility while requiring less code. Key features of Java EE 6 like EJB 3.1, CDI, and JSF 2.0 incorporate more annotations and reduce the need for deployment descriptors. GlassFish is the open source reference implementation of Java EE 6 and offers benefits like modularity, embeddability, and support for cloud computing. Future versions of Java EE and GlassFish will focus on continued standards-based innovation.
Arun Gupta: London Java Community: Java EE 6 and GlassFish 3 Skills Matter
This document discusses Java EE 6 and GlassFish 3. It outlines that Java EE 6 and GlassFish 3 aim to provide a light-weight, extensible, and powerful platform. Key goals for Java EE 6 include making it more flexible, extensible by embracing open source frameworks, and easier to use and develop on. GlassFish 3 is the open source reference implementation of Java EE 6 and includes new features like clustering and centralized administration.
Java EE 6 Hands-on Workshop at Dallas Tech Fest 2010Arun Gupta
The document provides an overview of the Java EE 6 Hands-on Workshop being conducted by Arun Gupta. It includes an agenda for the workshop covering topics like Java EE 6 specifications, managed beans, interceptors, servlets, and ease of development features in Java EE 6. The workshop aims to demonstrate how Java EE 6 provides a flexible, extensible and easier to use platform for application development.
Java EE 6 workshop at Dallas Tech Fest 2011Arun Gupta
The document outlines the key features and capabilities of Java EE 6, which aims to provide more power to developers with less code. It discusses various Java EE 6 technologies like EJB 3.1, CDI, JPA 2.0, JSF 2.0, JAX-RS and how they simplify development. It also previews GlassFish 3.1, the reference implementation of Java EE 6 and talks about the next steps in the evolution of Java EE.
The document discusses the evolution of the Java EE platform and new features in Java EE 6. It outlines how Java EE has moved from being robust but complex to becoming more lightweight and flexible with profiles and pruning of unused specifications. It describes key programming model improvements in Java EE 6 like managed beans, Contexts and Dependency Injection (CDI), and annotations that simplify development.
The document discusses Java EE 6 and its goals of being flexible, lightweight, and easier to develop on compared to previous versions. It outlines many of the new and updated specifications in Java EE 6, including Contexts and Dependency Injection, Bean Validation, JAX-RS, and others. It also describes key Java EE 6 concepts like managed beans, interceptors, and profiles aimed at improving ease of development.
This document provides an overview of Java EE 7 technologies including Servlets, JSF, JMS, CDI, WebSocket, JSON, JPA, JAX-RS, and batch applications. It discusses the key features and changes in Java EE 7 for each technology compared to previous versions. These include enhancements to Servlets 3.1 like async processing, JSF 2.2 additions like file upload and HTML5 markup support, and JPA 2.1 features such as schema generation and stored procedures.
Java Platform, Enterprise Edition 6 (Java EE 6) is the new, improved release of Java EE 5 with new features and a corresponding release of GlassFish v3.
Overview of Java EE 6 by Roberto Chinnici at SFJUGMarakana Inc.
The document provides an overview of the new features in the Java EE 6 platform, including new APIs, the Web Profile specification, improved extensibility, and highlights of APIs like JAX-RS and EJB 3.1. It summarizes the key components and extension points included in the Web Profile and describes how the platform focuses on pluggability, modular web applications, and common design patterns across APIs.
Java EE 6 and GlassFish v3: Paving the path for futureArun Gupta
Java EE 6 and GlassFish v3 aim to pave the path for the future by right-sizing the Java EE platform, making it more extensible, and easier to develop on. Key changes include introducing profiles like the Web Profile, pruning unused technologies, embracing open source frameworks, and continuing to improve the annotation-based programming model. GlassFish v3 is the reference implementation of Java EE 6 and includes new features like modular architecture, embeddability, and RESTful monitoring and management interfaces.
Deep Dive Hands-on in Java EE 6 - Oredev 2010Arun Gupta
Arun Gupta presents an overview of the key features and specifications of Java EE 6, including:
1) Lightweight profiles like the Web Profile 1.0 make Java EE easier to use for web applications. Core specifications like EJB 3.1, JSF 2.0, and JPA 2.0 saw major updates.
2) New specifications include Contexts and Dependency Injection and Bean Validation which make developing Java EE applications simpler.
3) Servlets 3.0 brings annotations-based configuration and extensibility through web fragments, making it easier for frameworks to integrate with Java EE containers.
OSGi-enabled Java EE Applications using GlassFish at JCertif 2011Arun Gupta
This document discusses OSGi-enabled Java applications in GlassFish. It provides an overview of OSGi and how it is used in GlassFish to provide modularity. Key points include:
- OSGi allows applications to be broken into modules or bundles that can be installed, uninstalled, started and stopped dynamically without restarting the container.
- In GlassFish, all modules are OSGi bundles which run on top of the OSGi framework. This provides stronger modularity compared to a non-OSGi application server.
- Benefits of using OSGi in GlassFish include demanding stronger modularity, enabling custom tailored application servers, and lazy loading of bundles based on usage patterns.
Java EE 6 and GlassFish v3: Paving the path for futureArun Gupta
This session provides an overview of Java EE 6 and GlassFish v3. Using multiple simple-to-understand samples it explains the value propositionprovided by Java EE 6.
This document provides an overview of Java EE 6 and how it can simplify enterprise application development. It discusses the evolution of Java EE and new features in Java EE 6 like profiles, pruning of legacy technologies, pluggability, dependency injection, RESTful web services, and validation APIs. It also covers tools like NetBeans IDE and Glassfish application server and demonstrates a bookstore application.
The State of Java under Oracle at JCertif 2011Arun Gupta
The document discusses Oracle's strategy regarding Java, open source, and middleware. Key points include:
- Delivering a complete, open, integrated stack of hardware, infrastructure, database, middleware, and applications.
- Integrating Oracle software components to provide unique value to customers.
- Priorities for Java platforms include growing the developer base, adoption, competitiveness, and adapting to change.
- Details of new features in Java SE 7 like string switching and automatic resource management.
- Plans for Java SE 8 including language enhancements from Project Lambda and modularity.
This document discusses Java EE 7 and the future of Java EE. It provides an overview of the new features in Java EE 7 including JMS 2.0, Java API for WebSocket, JSON processing, Bean Validation 1.1, JAX-RS 2.0, JPA 2.1, JSF 2.2, batch applications processing and more. It also discusses the Java EE 8 survey results and possibilities for Java EE 8 such as alignment with web standards, cloud, CDI and Java SE 8.
Running your Java EE applications in the CloudArun Gupta
This document discusses running Java EE 6 applications in the cloud using various platforms. It provides an overview of Java EE 6 and how it is well-suited for cloud deployments. It then discusses specific implementations on Amazon EC2, RightScale, Elastra, Joyent, and GlassFish distributions and roadmaps.
The document discusses Java EE 6 and its evolution over time. It outlines key features of Java EE 6 including lightweight profiles, annotations, managed beans, interceptors, and Servlets 3.0. It provides examples of using managed beans, interceptors, and the new annotations-based approach in Servlets 3.0. The document aims to educate developers on the nuts and bolts of Java EE 6.
Powering the Next Generation Services with Java Platform - Spark IT 2010Arun Gupta
This document discusses the evolution and capabilities of the Java platform. It outlines the major releases of the Java Development Kit and Java EE over time. It also describes some of the key features and technologies available in the Java ecosystem today, including Java EE, JavaFX, RESTful and SOAP web services, dynamic languages support, and Project Jigsaw for modularity. The document promotes the Java platform as powering next generation applications and services.
Understanding the nuts & bolts of Java EE 6Arun Gupta
The document discusses new features in Java EE 6 including managed beans 1.0 and interceptors 1.1. Managed beans 1.0 allow using POJOs as managed components with basic services like resource injection and lifecycle callbacks. Interceptors 1.1 allow intercepting method invocations and lifecycle events on target classes through annotations or deployment descriptors.
The document discusses how Servlets 3.0 in Java EE 6 provides an easier development experience through annotations-based programming, extensibility features like pluggable web fragments, and dynamic registration of servlets and filters using a ServletContainerInitializer. It also covers how frameworks like Java Server Faces leverage these new Servlets 3.0 features to simplify deployment.
Java EE 6 & GlassFish v3: Paving the path for the future - Tech Days 2010 IndiaArun Gupta
This document discusses Java EE 6 and GlassFish v3. It outlines the goals of making Java EE more lightweight, extensible, and easier to develop on. Key features of Java EE 6 include a web profile, pruning of specifications, embrace of open source frameworks, and continued focus on ease of development. GlassFish v3 is the reference implementation and is modular, embeddable, extensible, and supports dynamic languages and frameworks.
Java EE 6 & GlassFish = Less Code + More Power at CEJUGArun Gupta
The document discusses Java EE 6 and GlassFish, which provide developers with more power and flexibility while requiring less code. Key features of Java EE 6 like EJB 3.1, CDI, and JSF 2.0 incorporate more annotations and reduce the need for deployment descriptors. GlassFish is the open source reference implementation of Java EE 6 and offers benefits like modularity, embeddability, and support for cloud computing. Future versions of Java EE and GlassFish will focus on continued standards-based innovation.
Arun Gupta: London Java Community: Java EE 6 and GlassFish 3 Skills Matter
This document discusses Java EE 6 and GlassFish 3. It outlines that Java EE 6 and GlassFish 3 aim to provide a light-weight, extensible, and powerful platform. Key goals for Java EE 6 include making it more flexible, extensible by embracing open source frameworks, and easier to use and develop on. GlassFish 3 is the open source reference implementation of Java EE 6 and includes new features like clustering and centralized administration.
Java EE 6 Hands-on Workshop at Dallas Tech Fest 2010Arun Gupta
The document provides an overview of the Java EE 6 Hands-on Workshop being conducted by Arun Gupta. It includes an agenda for the workshop covering topics like Java EE 6 specifications, managed beans, interceptors, servlets, and ease of development features in Java EE 6. The workshop aims to demonstrate how Java EE 6 provides a flexible, extensible and easier to use platform for application development.
Java EE 6 workshop at Dallas Tech Fest 2011Arun Gupta
The document outlines the key features and capabilities of Java EE 6, which aims to provide more power to developers with less code. It discusses various Java EE 6 technologies like EJB 3.1, CDI, JPA 2.0, JSF 2.0, JAX-RS and how they simplify development. It also previews GlassFish 3.1, the reference implementation of Java EE 6 and talks about the next steps in the evolution of Java EE.
The document discusses the evolution of the Java EE platform and new features in Java EE 6. It outlines how Java EE has moved from being robust but complex to becoming more lightweight and flexible with profiles and pruning of unused specifications. It describes key programming model improvements in Java EE 6 like managed beans, Contexts and Dependency Injection (CDI), and annotations that simplify development.
The document discusses Java EE 6 and its goals of being flexible, lightweight, and easier to develop on compared to previous versions. It outlines many of the new and updated specifications in Java EE 6, including Contexts and Dependency Injection, Bean Validation, JAX-RS, and others. It also describes key Java EE 6 concepts like managed beans, interceptors, and profiles aimed at improving ease of development.
This document provides an overview of Java EE 7 technologies including Servlets, JSF, JMS, CDI, WebSocket, JSON, JPA, JAX-RS, and batch applications. It discusses the key features and changes in Java EE 7 for each technology compared to previous versions. These include enhancements to Servlets 3.1 like async processing, JSF 2.2 additions like file upload and HTML5 markup support, and JPA 2.1 features such as schema generation and stored procedures.
Java Platform, Enterprise Edition 6 (Java EE 6) is the new, improved release of Java EE 5 with new features and a corresponding release of GlassFish v3.
Overview of Java EE 6 by Roberto Chinnici at SFJUGMarakana Inc.
The document provides an overview of the new features in the Java EE 6 platform, including new APIs, the Web Profile specification, improved extensibility, and highlights of APIs like JAX-RS and EJB 3.1. It summarizes the key components and extension points included in the Web Profile and describes how the platform focuses on pluggability, modular web applications, and common design patterns across APIs.
Java EE 6 and GlassFish v3: Paving the path for futureArun Gupta
Java EE 6 and GlassFish v3 aim to pave the path for the future by right-sizing the Java EE platform, making it more extensible, and easier to develop on. Key changes include introducing profiles like the Web Profile, pruning unused technologies, embracing open source frameworks, and continuing to improve the annotation-based programming model. GlassFish v3 is the reference implementation of Java EE 6 and includes new features like modular architecture, embeddability, and RESTful monitoring and management interfaces.
Deep Dive Hands-on in Java EE 6 - Oredev 2010Arun Gupta
Arun Gupta presents an overview of the key features and specifications of Java EE 6, including:
1) Lightweight profiles like the Web Profile 1.0 make Java EE easier to use for web applications. Core specifications like EJB 3.1, JSF 2.0, and JPA 2.0 saw major updates.
2) New specifications include Contexts and Dependency Injection and Bean Validation which make developing Java EE applications simpler.
3) Servlets 3.0 brings annotations-based configuration and extensibility through web fragments, making it easier for frameworks to integrate with Java EE containers.
OSGi-enabled Java EE Applications using GlassFish at JCertif 2011Arun Gupta
This document discusses OSGi-enabled Java applications in GlassFish. It provides an overview of OSGi and how it is used in GlassFish to provide modularity. Key points include:
- OSGi allows applications to be broken into modules or bundles that can be installed, uninstalled, started and stopped dynamically without restarting the container.
- In GlassFish, all modules are OSGi bundles which run on top of the OSGi framework. This provides stronger modularity compared to a non-OSGi application server.
- Benefits of using OSGi in GlassFish include demanding stronger modularity, enabling custom tailored application servers, and lazy loading of bundles based on usage patterns.
Java EE 6 and GlassFish v3: Paving the path for futureArun Gupta
This session provides an overview of Java EE 6 and GlassFish v3. Using multiple simple-to-understand samples it explains the value propositionprovided by Java EE 6.
This document provides an overview of Java EE 6 and how it can simplify enterprise application development. It discusses the evolution of Java EE and new features in Java EE 6 like profiles, pruning of legacy technologies, pluggability, dependency injection, RESTful web services, and validation APIs. It also covers tools like NetBeans IDE and Glassfish application server and demonstrates a bookstore application.
The State of Java under Oracle at JCertif 2011Arun Gupta
The document discusses Oracle's strategy regarding Java, open source, and middleware. Key points include:
- Delivering a complete, open, integrated stack of hardware, infrastructure, database, middleware, and applications.
- Integrating Oracle software components to provide unique value to customers.
- Priorities for Java platforms include growing the developer base, adoption, competitiveness, and adapting to change.
- Details of new features in Java SE 7 like string switching and automatic resource management.
- Plans for Java SE 8 including language enhancements from Project Lambda and modularity.
This document discusses Java EE 7 and the future of Java EE. It provides an overview of the new features in Java EE 7 including JMS 2.0, Java API for WebSocket, JSON processing, Bean Validation 1.1, JAX-RS 2.0, JPA 2.1, JSF 2.2, batch applications processing and more. It also discusses the Java EE 8 survey results and possibilities for Java EE 8 such as alignment with web standards, cloud, CDI and Java SE 8.
Running your Java EE applications in the CloudArun Gupta
This document discusses running Java EE 6 applications in the cloud using various platforms. It provides an overview of Java EE 6 and how it is well-suited for cloud deployments. It then discusses specific implementations on Amazon EC2, RightScale, Elastra, Joyent, and GlassFish distributions and roadmaps.
The document discusses Java EE 6 and its evolution over time. It outlines key features of Java EE 6 including lightweight profiles, annotations, managed beans, interceptors, and Servlets 3.0. It provides examples of using managed beans, interceptors, and the new annotations-based approach in Servlets 3.0. The document aims to educate developers on the nuts and bolts of Java EE 6.
Powering the Next Generation Services with Java Platform - Spark IT 2010Arun Gupta
This document discusses the evolution and capabilities of the Java platform. It outlines the major releases of the Java Development Kit and Java EE over time. It also describes some of the key features and technologies available in the Java ecosystem today, including Java EE, JavaFX, RESTful and SOAP web services, dynamic languages support, and Project Jigsaw for modularity. The document promotes the Java platform as powering next generation applications and services.
Java EE 7 will focus on enabling Java EE applications and services to easily operate in public and private cloud environments. Key areas of focus include improved packaging for cloud deployment, tighter resource management, and potential new APIs for cloud services. Modularity enhancements based on Java SE 8 modules will allow applications to be composed of independent, versioned modules. The first Java EE 7 specifications have already been approved.
The document outlines future directions for Java EE and its related technologies. It discusses making Java EE platforms better suited for cloud environments through improvements to packaging, modularity, and APIs for resource and state management. Key areas that may see enhancements include JSF, JPA, JAX-RS, and better support for asynchronous interactions and hypermedia. The overall goal is to evolve Java EE, not revolutionize it, based on feedback from the community.
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
http://www.cetpainfotech.com
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
Java EE 7 provides updates to existing Java EE technologies and introduces support for new technologies like HTML5. Key areas of focus include improved productivity, support for WebSocket and JSON, and higher level APIs for tasks like messaging and caching. While plans for a PaaS theme in Java EE 7 have been postponed, the specification is evolving to better support cloud computing. The Java EE 7 specification is progressing with participation from many companies and experts.
Java EE is an open standard for developing and deploying multi-tier, web-enabled, server-centric enterprise applications. It includes specifications, libraries, documentation and tools that build upon Java SE. JBoss Application Server is an open-source application server that implements the Java EE platform. It provides reliability, performance and scalability out of the box. JBoss AS 5 introduced the JBoss Microcontainer, which replaced the previous JMX microkernel and simplified component lifecycles and dependencies. It has a modular, service-oriented architecture and supports features like clustering, security and transactions.
The document provides an agenda for a Java EE 6 Hands-on Workshop being conducted by Arun Gupta. It outlines the history and evolution of Java EE from version 1.2 to 6, highlights new specifications in Java EE 6 including Contexts and Dependency Injection and Bean Validation, and discusses goals and features of Java EE 6 like making it more lightweight and easier to develop on.
This document provides a summary and comparison of the Java EE and Spring frameworks. It outlines the evolution of both technologies and highlights key features from Java EE 6 and Spring 3.0/3.1. The document also discusses how Spring and Java EE can coexist, approaches to migrating from Spring to Java EE, and concludes with references for further information.
Java EE 6 provides enhancements to ease of development and extensibility. Key changes include introducing profiles like the Web Profile to make the platform more flexible. The platform is being right sized by pruning unused technologies. Extensibility is improved by embracing open source frameworks. Development is eased through increased use of annotations and reducing the need for deployment descriptors. The first preview release of the Java EE 6 reference implementation GlassFish is available now ahead of the final release later in 2009.
Java EE 6 & GlassFish = Less Code + More Power @ DevIgnitionArun Gupta
The document summarizes new features in Java EE 6 and GlassFish v3 that aim to provide developers with more powerful capabilities while requiring less code. Key highlights include annotations to simplify configuration and development, support for RESTful web services and dependency injection, and improvements to Java Server Faces, EJBs, and the Java Persistence API to enhance developer productivity.
The document is a presentation about Java EE 6 and GlassFish. It discusses how Java EE 6 and GlassFish aim to provide developers with less code and more power through features like annotations, simplified configurations, and support for newer Java technologies. It also summarizes some of the new Java EE 6 specifications and how they improve areas like web development, EJBs, JSF, JPA and more.
A Hitchhiker's Guide to Cloud Native Java EEQAware GmbH
This document provides an overview of developing cloud native Java applications. It discusses:
- Using microservices and containers to build distributed and scalable applications.
- Key principles of cloud native design like designing for distribution, resilience, and automation.
- Tools for building microservices like Java EE, Dropwizard Metrics, Hystrix, and MicroProfile.
- Techniques for configuration, communication, diagnostics, and resiliency when developing microservices.
- Examples of using technologies like Docker, Kubernetes, Payara Server, ActiveMQ, and PostgreSQL in a microservices architecture.
The document provides a comprehensive but concise introduction to developing cloud native applications using microservices and Java technologies.
This document provides an overview of developing cloud native Java applications. It discusses:
- Using microservices and containers to build distributed and scalable applications.
- Key principles of cloud native design like designing for distribution, resilience, and automation.
- Tools for building microservices like Java EE, Dropwizard Metrics, Hystrix, and MicroProfile.
- Techniques for configuration, communication, diagnostics, and resiliency when developing microservices.
- Examples of using technologies like Docker, Kubernetes, Payara Server, ActiveMQ, and PostgreSQL in a microservices architecture.
The document provides a comprehensive but concise introduction to developing cloud native applications using microservices and Java technologies.
GlassFish ist ein professioneller Open-Source Java EE Applikationsserver, dem eine stetig wachsende Bedeutung zukommt. Die Version 3 des Applikationsservers ist aktuell in verschiedenen Vorschauversionen erhältlich. Er stellt die Referenzimplementierung des lange erwarteten JEE 6 Standards.
Java EE 6 & GlassFish 3: Light-weight, Extensible, and Powerful @ JAX London ...Arun Gupta
This document discusses Java EE 6 and GlassFish 3. It notes that Java EE 6 and GlassFish 3 aim to provide a light-weight, extensible, and powerful platform. Key features of Java EE 6 include improved ease of development through annotations, updated specifications like JSF 2.0 and EJB 3.1, and a new web profile. GlassFish 3 is the open source reference implementation of Java EE 6 and provides modularity, embeddability, and extensibility. Oracle will continue to develop and support GlassFish going forward.
The document summarizes the evolution of Java 7 including:
1. An overview of the history and prerequisites that led to the creation of Java, including how it was initially developed in 1991 for consumer devices.
2. A discussion of the different versions of Java released from JDK 1.0 to Java 7, highlighting improvements in each version.
3. Examples demonstrating new features in Java 7 like strings in switch statements, binary literals, multi-catch exceptions, and try-with-resources statements.
The document summarizes the key Java EE 8 JSRs and updates. The main points are:
1. It lists the Java EE 8 JSRs which include Contexts and Dependency Injection 2.0, Java API for JSON Processing 1.1, Java API for JSON Binding 1.0, Java API for RESTful Web Services 2.1, JavaServerFaces 2.3, and others.
2. It provides brief descriptions of some of the JSRs including improvements to CDI, JSON processing, JSON binding, JAX-RS, and JSF.
3. It mentions new features in Servlet 4.0 like support for HTTP/2 and compatibility with HTTP 1.
A fairly short (26 slides) presentation covering the GlassFish community and product (v2 and upcoming modular v3) as well as Java EE 5 and upcoming Java EE 6.
Similar to TDC 2011: The Java EE 7 Platform: Developing for the Cloud (20)
5 Skills To Force Multiply Technical Talents.pdfArun Gupta
This talk explains what are non-technical skills, why they are relevant, and what are some of the most important skills to master to force multiply your technical talent.
Machine Learning using Kubernetes - AI Conclave 2019Arun Gupta
This document discusses machine learning using Kubeflow. It provides an overview of Kubeflow, which is a containerized machine learning platform that makes it easy to develop, deploy, and manage portable, scalable end-to-end ML workflows on Kubernetes. It discusses various Kubeflow components like Jupyter notebooks, Fairing for packaging ML jobs, Katib for hyperparameter tuning, KFServing for model serving, Pipelines for orchestrating workflows, and Metadata for tracking artifacts. It also provides guidance on deploying Kubeflow on Amazon EKS and optimizing distributed deep learning performance on EKS.
Secure and Fast microVM for Serverless Computing using FirecrackerArun Gupta
Firecracker is a lightweight virtualization technology developed by Amazon that provides security and isolation of virtual machines with the speed and density of containers. It uses KVM virtualization and has a minimal guest device model to provide fast launch times of less than 125ms per microVM while using under 5MB of memory per microVM. Firecracker is open source and designed to securely run thousands of multitenant microVMs on a single host through its REST API and by leveraging statistical multiplexing of resources.
Building Java in the Open - j.Day at OSCON 2019Arun Gupta
Amazon develops and maintains Corretto, an open-source distribution of OpenJDK. Corretto provides long-term support with quarterly security updates for Java on Linux, Windows, and macOS. Amazon contributes patches and improvements to OpenJDK and aims to upstream all changes. The Amazon Corretto Crypto Provider offers accelerated cryptographic performance for workloads.
Amazon contributes to open source projects for several reasons: to better serve customers by supporting popular open source technologies, drive innovation by collaborating with the open source community, reduce maintenance costs by fixing issues upstream, and improve quality and security by incorporating community feedback. Some examples of projects Amazon contributes to include Docker, Kubernetes, Apache Spark, and Linux kernel. Amazon engages with the open source community through its website, Twitter account, and blog to share updates on its open source efforts.
This document discusses machine learning using Kubernetes. It provides an overview of Amazon EKS for running Kubernetes in the cloud, and options for setting up Kubernetes clusters for machine learning workloads, including training models, inference, and applications. It also covers challenges in containerizing machine learning and introduces AWS deep learning containers and KubeFlow for simplifying machine learning on Kubernetes.
The key principles of cloud native applications are:
1. They enable organizations to build and ship features faster without worrying about failure or iteration.
2. They pay for what is used last month, not what may be needed next year, allowing teams to experiment and fail fast without significant investment.
3. They are self-service, API-driven, and automated, moving from requesting tickets for each step to self-service tools that empower teams.
This document discusses chaos engineering and how to use it to test the resilience of applications running in Kubernetes clusters. It describes how chaos engineering involves intentionally introducing failures and disturbances to test a system's ability to withstand turbulent conditions. The document outlines the phases of chaos engineering experiments including defining hypotheses, scoping experiments, monitoring metrics, and implementing fixes to address any issues found. It also provides examples of how tools like Istio can be used to inject faults like timeouts or HTTP errors to test applications running in Kubernetes on Amazon EKS.
How to be a mentor to bring more girls to STEAMArun Gupta
The document discusses how to be a mentor to bring more girls to STEAM. It outlines challenges like unconscious bias, lack of role models, and topics/content mainly appealing to boys. It recommends starting mentorship early, encouraging girls to attend and present at events, and being a role model. Examples are given of girls who found success through mentorship programs like Devoxx4Kids, pursuing interests in computer science, engineering, and NASA. The conclusion calls mentors to inspire one girl to get involved in STEAM through attending, volunteering, or presenting at events like Devoxx4Kids.
Java in a World of Containers - DockerCon 2018Arun Gupta
This document discusses Java and containers. It begins with an introduction to Java's suitability for containers due to its managed runtime, hardware agnosticism, safety/security, reliability, and rich ecosystem. It then covers topics like creating Docker images from Java applications, building custom Java runtimes using jlink, and optimizing image sizes through multi-stage builds and smaller base images like Alpine Linux. The document also discusses features like class data sharing between containers using AppCDS, ahead-of-time compilation with jaotc, and how the JVM can honor Docker resource limits for CPU and memory. Overall it provides an overview of using Java in container environments and related tools and techniques.
The Serverless Tidal Wave - SwampUP 2018 KeynoteArun Gupta
The document discusses the rise of serverless computing and its benefits. It describes how AWS pioneered serverless computing with AWS Lambda and has since expanded its serverless offerings. The serverless model provides easy scaling, high availability, and developers can focus on writing code without worrying about infrastructure management. Containers are also discussed as working with serverless computing.
Introduction to Amazon EKS - KubeCon 2018Arun Gupta
Amazon EKS (Elastic Kubernetes Service) is a managed service that makes it easy to run Kubernetes on AWS. It handles provisioning and managing control plane resources so users can focus on applications. EKS provides a native Kubernetes experience while integrating seamlessly with other AWS services to eliminate undifferentiated heavy lifting. The EKS team actively contributes to the open source Kubernetes project.
Mastering Kubernetes on AWS - Tel Aviv SummitArun Gupta
The document contains instructions and diagrams for deploying and managing Kubernetes clusters on AWS. It includes commands for creating a Kubernetes cluster using KOPS or EKS, as well as diagrams showing example Kubernetes cluster architectures with nodes, masters, storage, logging and monitoring components when using AWS.
Top 10 Technology Trends Changing Developer's LandscapeArun Gupta
The document discusses 10 emerging technology trends that are changing the developer landscape:
1. Containers are being used as a lightweight alternative to virtual machines for packaging, deploying, and scaling applications. Container orchestration frameworks like Docker and Kubernetes are emerging.
2. Microservices architectures break applications into small, independent services that communicate over HTTP. This enables independent deployment and scaling of services.
3. DevOps practices like continuous integration/deployment, automation, and collaboration between development and operations are becoming standard.
Java EE and NoSQL using JBoss EAP 7 and OpenShiftArun Gupta
The document discusses using Java EE 7 and NoSQL databases with JBoss EAP 7 and OpenShift. It highlights key features of Java EE 7 including improved developer productivity. It also provides an overview of different types of NoSQL databases like key-value, document, graph and columnar databases. Examples are given of using Couchbase with Java applications and frameworks like WildFly Swarm.
Docker, Kubernetes, and Mesos recipes for Java developersArun Gupta
The document discusses Docker, Kubernetes, and Mesos for Java developers. It provides an overview of Docker, including what it is, how images and containers work, and common commands. It also covers using Docker Machine to create Docker hosts, Docker Compose for defining and running multi-container apps, networking with Docker, and persistent storage options.
Arun Gupta has over 25 years of experience in senior technology leadership roles. He has held positions such as Vice President at Intuit, Group Vice President at Oracle, and Vice President and General Manager at Middleware. Currently, Arun Gupta is the President and CEO of PAMTEN Inc.
Migrate your traditional VM-based Clusters to ContainersArun Gupta
The document discusses migrating traditional VM-based clusters to container-based clusters using Docker, Kubernetes, DC/OS, and Couchbase. It provides step-by-step instructions on setting up Couchbase clusters on each platform, including creating Docker machines and Swarm clusters, defining Kubernetes replication controllers and services, deploying Couchbase applications on DC/OS using Marathon, and automatically scaling the clusters.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
TDC 2011: The Java EE 7 Platform: Developing for the Cloud
1. <Insert Picture Here>
The Java EE 7 Platform: Developing for the Cloud
Arun Gupta, Java EE & GlassFish Guy
blogs.oracle.com/arungupta, @arungupta
2. The following/preceding is intended to outline our
general product direction. It is intended for
information purposes only, and may not be
incorporated into any contract. It is not a
commitment to deliver any material, code, or
functionality, and should not be relied upon in
making purchasing decisions.
The development, release, and timing of any
features or functionality described for Oracle’s
products remains at the sole discretion of Oracle.
2
3. The Core Java EE 6 Programming Model
Web
JSP 2.2
Container JAX-RS 1.1 JSF 2.0
CDI Extensions EL 1.2
Extensions
Servlets 3.0
Bean
CDI 1.0 / Interceptors 1.1 / JSR 250 1.1 Validation
1.0
Managed Beans 1.0 EJB 3.1
JPA 2.0 / JTA 1.1
3
4. The Java EE 6 Web Profile 1.0
Servlets 3.0 JPA 2.0 EJB 3.1 JDBC StAX
Interceptors
JSF 2.0 JAX-RS JNDI JavaMail
1.1
Bean
EJB 3.1 Lite JAXB JMS JACC
Validation1.0
JSP 2.2 CDI 1.0 JAX-WS JAXP SAAJ
Managed
JTA 1.1 JASPIC JAX-RPC ...
Beans 1.0
Contributed
by RedHat New Updated
4
7. 9 Reasons why Java EE 6 will save $$
• Prototyping (multiple IDEs)
• Development (~30MB, incremental deployment, ...)
• Production (Variety, Start small/then scale)
• Support (Pick the best one)
• Training (“Only” Java EE 6 APIs)
• Portability (Backwards compatibility)
• Adoption (Growing)
• Freedom of choice (Multiple vendors)
• Plan B (Similar component models)
http://www.adam-bien.com/roller/abien/entry/8_reasons_why_java_ee
7
8. Jigsaw puzzle,
From the real users ... Modular, standard, less
xml, easy, easy, have I
Developers can concentrate said easy?
on business logic, Java EE 6 is
providing a standard for
Standards compliance, vendor
the infrastructure.
independence, milliseconds
and kilobyte deployment
Faster development,
Higher integrated specs, less frameworks, less
simple and annotation driven, complexity, more great
single-classloader WARs, code shipped
next level of industry
standard Definite excuse to
avoid Spring forever
Simplified Java
Not your fat grandfather's Development, Focus on
enterprise Java anymore, building great products
enterprise Java renaissance
http://blogs.oracle.com/arungupta/tags/community+feedback
8
9. Avoid “framework explosion”
In selecting an application server our main goal
was to avoid the framework explosion that
happens when you use a "custom" Enterprise
stack like Tomcat + Spring + Hibernate +
Myfaces +... Java EE 6 had 80% of what we
needed out of the box: strong persistence
support ( JPA ), inversion of control ( CDI ), and
a lightweight component model ( EJB 3.1 )
http://blogs.oracle.com/stories/entry/egesa_engineering_avoids_framework_explosion
9
10. What does Java EE offer to Cloud ?
●
Containers
●
Injectable services
●
Scale to large clusters
●
Security model
●
...
10
11. Java EE for the Cloud : JSR 342
• More easily operate on private/public clouds
• Multi-tenancy
• Elasticity
• Tighter requirements for resource and state
management
• Better isolation between applications
• Potential standard APIs for NRDBMS, Caching,
other
• Common management and monitoring interfaces
• Better packaging
• Evolution, not revolution
11
12. Cloud Platform
Application
Java Persistence Queueing
Service Service Service …
State Management
Virtualization Layer
12
13. Cloud Platform
Application
Code Code Code QoS
Schema Migration Security …
Module Module Module Information
Java Persistence Queueing
Service Service Service …
State Management
Virtualization Layer
13
14. Cloud Platform
Application Application Application
Java Persistence Queueing
Service Service Service …
State Management
Virtualization Layer
14
15. Cloud Platform
Application Application Application Application Application
Java Persistence Queueing
Service Service Service …
State Management
Virtualization Layer
15
16. Cloud Platform
Managed Environment
Application Application Application Application Application
Java Persistence Queueing
Service Service Service …
State Management
Virtualization Layer
16
17. The Java EE 7 Modularity
• Built on Java SE 8 work
• Applications made of modules
• Dependencies are explicit
• Versioning is built-in
• Classloaders are straightened
17
25. Servlets 3.1 (JSR 340)
http://jcp.org/en/jsr/detail?id=340
http://servlet-spec.java.net
• Cloud support
• Multi-tenancy
• Security / Session state / Resources isolation
• Asynchronous IO based on NIO2
• Simplified Asynchronous Servlets
• Utilize Java EE concurrency utilities
• Enable support for Web Sockets
25
26. JPA 2.1 (JSR 338)
http://jcp.org/en/jsr/detail?id=338
http://jpa-spec.java.net
●
Multi-tenancy
●
Support for stored procedures, vendor function
●
Update and Delete Criteria queries, JPQL ↔
Criteria
●
Query by Example
●
Support for schema generation
●
Persistence Context synchronization control
●
Dynamic definition of PU
●
Additional event listeners
26
27. EJB 3.2 (JSR 345)
http://jcp.org/en/jsr/detail?id=345
• Enablement for use in cloud
• Factorization of the EJB technology
• Interceptors was the first example
• Container-managed transactions as target
• Alignment with other specifications
• Mark “pruned” technologies as optional
• EJB 1.x and 2.x entity beans
• Web service invocation using JAX-RPC
27
28. JAX-RS 2.0 (JSR 339)
http://jcp.org/en/jsr/detail?id=339
http://jax-rs-spec.java.net
●
Client API
●
Low level using Builder pattern, Higher-level
●
Hypermedia
●
MVC Pattern
●
Resource controllers, Pluggable viewing technology
●
Bean Validation
●
Form or Query parameter validation
●
Closer integration with @Inject, etc.
●
Server-side asynchronous request processing
●
Server-side content negotiation
28
29. CDI 1.1 (JSR 346)
http://www.jcp.org/en/jsr/proposalDetails?id=346
• Global ordering of interceptors and
decorators
• API for managing built-in contexts
• Embedded mode to startup outside
Java EE container
• Send Servlet events as CDI events
29
30. Expression Language 3.0 (JSR 341)
http://jcp.org/en/jsr/detail?id=341
http://el-spec.java.net
• A JSR by itself
• Make EL easier to use outside EE container
• Simplified to use in Java SE
• EL Context is split into Parsing and
Evaluation context
• Explicit coercion rules using API
• Criteria-based selection from Collection
• Operators: ==, concat, sizeof
• CDI events for expression evaluation
30
31. JMS 2.0 (JSR 343)
http://jcp.org/en/jsr/detail?id=343
http://jms-spec.java.net
• Long overdue – after 9 years
• Modest scope, major extensions
deferred to a subsequent revision
• Ease-of-development
• Clarification of relationship with other
Java EE specs
• New mandatory API for pluggable JMS
provider
31
32. Bean Validation 1.1 (JSR TBD)
http://in.relation.to/Bloggers/JSRBeanValidation11WhatToPutIn
• Integration with other specs
• JAX-RS: Validate parameters on HTTP calls
• JAXB: convert into XML schema descriptor
• JPA: DDL generation
• Method level validation
public void processOrder(@Valid Order order,
@Min(0) @Max(30) int retry) {
}
• @Valid and group propagation
• Apply constraints on element collection
32
33. JSF 2.2 (JSR 344)
http://jcp.org/en/jsr/detail?id=344
http://jsf-spec.java.net
• Ease of development
• cc:interface is optional
• JSF lifecycle is CDI aware
• Runtime configuration options change
• Support implementation of Portlet Bridge
2.0
• Support for HTML5 features
• Forms, Heading/Section content model, ...
• New components like FileUpload and
BackButton
33
34. Java EE 7 : Technology Refresh
• Ease-of-development: JMS 2.0
• Latest web standards
• New JSRs: Web Sockets, Java JSON API
• HTTP Client API (JAX-RS 2.0)
• Possible JSRs inclusion
• Concurrency Utilities for Java EE (JSR 236)
• JCache (JSR 107)
34
35. Transparency Checklist NEW
http://jcp.org/en/resources/transparency
• EG members names
• EG business reported on publicly
readable alias
• Schedule is public, current and updated
regularly
• Public can read/write to a wiki
• Discussion board on jcp.org
• Public read-only issue tracker
35
36. Java EE 7 – When ?
• Late 2012
• Date-driven release
• Anything not ready will be deferred to Java EE 8
• Participate
• Expert Groups forming
• Public discussion lists
• JCP membership free for individuals
36
37. GlassFish Server Distributions
Distribution License Features
• Java EE 6 compatibility
GlassFish Server Open CDDL & • Web Profile support
Source Edition 3.1 GPLv2 • In-memory replication / clustering
Web Profile
• Centralized Administration
• Java EE 6 compatibility
GlassFish Open Source CDDL & • Full Java EE distribution
Edition 3.1 GPLv2 • In-memory replication / clustering
• Centralized Administration
• Adds
Oracle GlassFish Server 3.1 Commercial • Oracle GlassFish Server Control
Web Profile • Patches, support, knowledge
base
• Adds
Oracle GlassFish Server 3.1 Commercial • Oracle GlassFish Server Control
• Patches, support, knowledge
base