Building RIA Applications with RichFaces

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Max Katz from Exadel gave a presentation about JBoss RichFaces. Some key points: - RichFaces is a JSF framework that provides over 100 AJAX components, skins, and a component development kit. - It allows building RIA applications that run on any servlet container and works with any JSF implementation and frameworks like Seam and Spring. - Exadel creates and supports RichFaces as well as related products like JBoss Developer Studio. They also do consulting and training on RIA technologies. - New versions of RichFaces have added components like rich:queue and rich:editor as well as layout capabilities. Future versions will be JSF 2.0 compatible.

Technology Education

About Me
Senior Systems Engineer
RIA strategy, development, training
http://mkblog.exadel.com
Practical RichFaces (Apress)

Exadel
RIA services and products company
Headquarters in San Francisco Bay Area, California
Large development
and services
office in Eastern
Europe,
in Belarus, Minsk

Red Hat/JBoss – Exadel
Red Hat's Enterprise Web 2.0 Center for Excellence

Products
JBoss RichFaces (Ajax4jsf)
JBoss Developer Studio (Exadel Studio)
Fiji – JSF with Flex/JavaFX integration
Flamingo – Flex/JavaFX with Seam/Spring
E7 – process-rich (BPM) applications

The Plan
Tell you about RichFaces
Run examples
Tell you what else we are doing
Raise your hand if you have questions

RichFaces is JSF Framework
JavaServer Faces is:
Standard technology in Java EE
•

Framework for building Web applications out of UI
•

components

RichFaces Is JSF Framework
1. JSF-AJAX components (100+)
2. Skins
3. CDK (Component Development Kit)

JSF-AJAX Components
Over 100 ready-to-use JSF AJAX components
Two tag libraries
• a4j – page-level AJAX support
• rich – component-level AJAX support

Skins (Themes)
Change the look-and-feel
of pages on the fly
Create custom skins

CDK
Facility for creating, generating and testing your own
rich JSF components

RichFaces in Portal
JBoss Portal
Liferay
Any portal server (Portlets 2.0)

What You Should Know
Runs in:
• Any servlet/portal container, application server
Works with:
• Any JSF implementation (1.1, 1.2, 2.0soon)
Works with:
• Seam, Spring
Works with 3rd party components:
• Tomahawk, Trinidad etc.

RichFaces Demo
http://livedemo.exadel.com/richfaces-demo

New in RichFaces
version 3.3.0 (January 09)
• rich:queue
• rich:editor
version 3.3.1 (May 09)
• Layout components
• rich:colorPicker
version 4.0
• Compatibility with JSF 2.0

Fiji: JSF RIA Framework
Integrate JSF with Flex or JavaFX

JSF page JSF page

Flex JavaFX

Fiji: JSF with Flex/JavaFX
Ready charting components
Integrate any other Flex/JavaFX components
Bind Flex/JavaFX components to JSF beans
Uses the familiar JSF component approach

Flamingo: RIA Framework
Connect Flex with Seam/Spring
Connect JavaFX with Seam/Spring

E7
Build process-rich applications
Bridge the gap between Business Process
Management (BPM) and Java

Come talk to me about:
JSF/RichFaces
Training (1-2 days)
Your RIA plans
We can help with development, after all, we created
the products

Building RIA with JavaFX
Tomorrow, 16:15

RichFaces workshop
April 3, all day
Learn RichFaces in 1 day!

Thank You.
Questions?
mkatz@exadel.com
http://mkblog.exadel.com

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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.

Apps Break Data

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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?

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"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk

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At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience

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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.

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe

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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.

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Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application. This talk covers: Using MobSF for static analysis of mobile applications. Interactive dynamic security assessment of Android and iOS applications. Solving Mobile app CTF challenges. Reverse engineering and runtime analysis of Mobile malware. How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.

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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security. Paper Link: https://eprint.iacr.org/2024/257

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Building RIA Applications with RichFaces

1. JBoss RichFaces Max Katz Exadel

2. About Me Senior Systems Engineer RIA strategy, development, training http://mkblog.exadel.com Practical RichFaces (Apress)

3. Exadel RIA services and products company Headquarters in San Francisco Bay Area, California Large development and services office in Eastern Europe, in Belarus, Minsk

4. Red Hat/JBoss – Exadel Red Hat's Enterprise Web 2.0 Center for Excellence

5. Products JBoss RichFaces (Ajax4jsf) JBoss Developer Studio (Exadel Studio) Fiji – JSF with Flex/JavaFX integration Flamingo – Flex/JavaFX with Seam/Spring E7 – process-rich (BPM) applications

6. The Plan Tell you about RichFaces Run examples Tell you what else we are doing Raise your hand if you have questions

7. RichFaces is JSF Framework JavaServer Faces is: Standard technology in Java EE • Framework for building Web applications out of UI • components

9. RichFaces Is JSF Framework 1. JSF-AJAX components (100+) 2. Skins 3. CDK (Component Development Kit)

10. JSF-AJAX Components Over 100 ready-to-use JSF AJAX components Two tag libraries • a4j – page-level AJAX support • rich – component-level AJAX support

11. Skins (Themes) Change the look-and-feel of pages on the fly Create custom skins

12. CDK Facility for creating, generating and testing your own rich JSF components

13. RichFaces in Portal JBoss Portal Liferay Any portal server (Portlets 2.0)

14. What You Should Know Runs in: • Any servlet/portal container, application server Works with: • Any JSF implementation (1.1, 1.2, 2.0soon) Works with: • Seam, Spring Works with 3rd party components: • Tomahawk, Trinidad etc.

15. RichFaces Demo http://livedemo.exadel.com/richfaces-demo

16. Let's build something.

17. JBoss Tools/JBoss Developer Studio

18. New in RichFaces version 3.3.0 (January 09) • rich:queue • rich:editor version 3.3.1 (May 09) • Layout components • rich:colorPicker version 4.0 • Compatibility with JSF 2.0

19. Fiji: JSF RIA Framework Integrate JSF with Flex or JavaFX JSF page JSF page Flex JavaFX

20. Fiji: JSF with Flex/JavaFX Ready charting components Integrate any other Flex/JavaFX components Bind Flex/JavaFX components to JSF beans Uses the familiar JSF component approach

21. Flamingo: RIA Framework Connect Flex with Seam/Spring Connect JavaFX with Seam/Spring

22. E7 Build process-rich applications Bridge the gap between Business Process Management (BPM) and Java

23. BMP+Services

24. Come talk to me about: JSF/RichFaces Training (1-2 days) Your RIA plans We can help with development, after all, we created the products

25. Building RIA with JavaFX Tomorrow, 16:15 RichFaces workshop April 3, all day Learn RichFaces in 1 day!

26. Thank You. Questions? mkatz@exadel.com http://mkblog.exadel.com

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