Paving the way with Jakarta EE and Apache TomEE - JCConf

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Cesar Hernandez is a senior software engineer at Tomitribe who discusses his work with Jakarta EE and Apache TomEE. He provides an overview of the transition from Java EE to Jakarta EE, including the changes to namespaces. Apache TomEE is an open source Java EE application server built from Apache components that is compliant with Jakarta EE and MicroProfile. TomEE 9.0 implements the transition to the new jakarta namespaces. Resources are provided for users migrating to Jakarta EE 9 and getting involved in the open source community.

Technology

@CesarHgt @tomitribe
César Hernández
Paving the way with Jakarta EE
and Apache TomEE

@CesarHgt @tomitribe
Who am I?
César Hernández
● Senior Software Engineer at Tomitribe
● Java Champion & Oracle Groundbreaker Ambassador
● Duke’s Choice Award 2016, 2017
● Oracle Certiﬁed Professional
● +14 experience with Java Enterprise
● Apache TomEE, Eclipse Jakarta EE Committer,
contributor for Microproﬁle.
● Open Source advocate, teacher and public speaker

@CesarHgt @tomitribe
From J2EE to Jakarta EE

@CesarHgt @tomitribe
Some Eclipse (Java) Projects

@CesarHgt @tomitribe
Eclipse Foundation overview
https://www.eclipse.org/membership/documents/eclipse-foundation-overview.pdf
360+ 275+ 1550+
195M+ 15 30

@CesarHgt @tomitribe
How big is that?
• Jakarta EE
• 5,5 million lines of code
• 2,2 million lines of comments
• 61k ﬁles
• TCK (Test Suite)
• 4,6 million lines of code
• 1,1 million lines of comments
• 34k ﬁles

@CesarHgt @tomitribe
The javax.* namespace
• Oracle decides to restrict javax.* namespace
• Unchanged APIs can still use javax.* namespace
• Any other changes not allowed
• Adding a value to an enum
• Overriding/adding a method signature
• Adding default methods in interfaces
• Compensating for Java language changes

@CesarHgt @tomitribe
javax.* to jakarta.* namespace
https://jakarta.ee/resources/JakartaEE-Datasheet-July172020_ﬁnal.pdf

@CesarHgt @tomitribe
● javax.* namespace no longer valid; need to use jakarta.*
● Implementations are available
○ API jars are available for all components
○ Initial component implementations for all APIs
○ TCKs for all APIs
○ Platform and Web Proﬁle speciﬁcations
● Available on JDK 8; JDK 11 support planned post GA

@CesarHgt @tomitribe
Apache TomEE
● Apache Tomcat + Java EE = Apache TomEE
● Built from Apache components
● MicroProﬁle compliant
● Footprint: 30MB zip, 100~MB memory
● TomEE 9.0.0-M3 (javax -> jakarta)

@CesarHgt @tomitribe
Apache TomEE
http://tomee.apache.org/comparison.html

@CesarHgt @tomitribe
TomEE 9 M3
● Bytecode level
○ Eclipse Transformer
○ TomEE Patch Plugin.
● No branches. No forks. No merge-conﬂict hell. Just two separate
binaries from the same source; TomEE 8x for javax users: TomEE 9x for
jakarta users.
● 95% pass rate on the Jakarta EE 9 Web Proﬁle TCK.

@CesarHgt @tomitribe
Jakarta EE 9 Up and Running

@CesarHgt @tomitribe
● https://www.tomitribe.com/blog/jakarta-ee-9-milestone-and-apache-t
omee-9-0-0-m1/
● https://tomee.apache.org/tomee-9.0/docs/
Resources

@CesarHgt @tomitribe
• tomee.apache.org/community
• Share your migration takeaways
• Documentation
• Website ﬁxes
• Code tests
• Code examples
• Coverage increase for unit, integration, performance and static tests
• Workshops

@CesarHgt @tomitribe
The future of cloud-native Java

@CesarHgt @tomitribe
• jakarta.ee/connect
○ Community, Working Group and Projects Mailing List
○ Slack, Newsletter, Blogs, Social Media
• Join Jakarta EE community meetings
• Join EE4J top project and Jakarta EE working group
• Spread the word by speaking at conferences or blogging

@CesarHgt @tomitribe
Thank you
César Hernández
Paving the way with Jakarta EE
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In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security. This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing. The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.

Mutation Testing for Task-Oriented Chatbots

Pablo Gómez Abajo

Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots. To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.

Dandelion Hashtable: beyond billion requests per second on a commodity server

Antonios 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).

“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...

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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.

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Demystifying Knowledge Management through Storytelling

Enterprise Knowledge

The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event. The objectives of the Lunch and Learn presentation were to: - Review what KM ‘is’ and ‘isn’t’ - Understand the value of KM and the benefits of engaging - Define and reflect on your “what’s in it for me?” - Share actionable ways you can participate in Knowledge - - Capture & Transfer

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Paving the way with Jakarta EE and Apache TomEE - JCConf

1. @CesarHgt @tomitribe César Hernández Paving the way with Jakarta EE and Apache TomEE

2. @CesarHgt @tomitribe Who am I? César Hernández ● Senior Software Engineer at Tomitribe ● Java Champion & Oracle Groundbreaker Ambassador ● Duke’s Choice Award 2016, 2017 ● Oracle Certiﬁed Professional ● +14 experience with Java Enterprise ● Apache TomEE, Eclipse Jakarta EE Committer, contributor for Microproﬁle. ● Open Source advocate, teacher and public speaker

3. @CesarHgt @tomitribe From J2EE to Jakarta EE

4. @CesarHgt @tomitribe

5. @CesarHgt @tomitribe Some Eclipse (Java) Projects

6. @CesarHgt @tomitribe Eclipse Foundation overview https://www.eclipse.org/membership/documents/eclipse-foundation-overview.pdf 360+ 275+ 1550+ 195M+ 15 30

7. @CesarHgt @tomitribe

8. @CesarHgt @tomitribe How big is that? • Jakarta EE • 5,5 million lines of code • 2,2 million lines of comments • 61k ﬁles • TCK (Test Suite) • 4,6 million lines of code • 1,1 million lines of comments • 34k ﬁles

9. @CesarHgt @tomitribe

10. @CesarHgt @tomitribe https://jakarta.ee

11. @CesarHgt @tomitribe • Java EE Brand name • The javax.* namespace https://simpsons.fandom.com/wiki/Benjamin_(nerd)?file=Benjamin,_Doug,_and_Gary.gif

12. @CesarHgt @tomitribe The javax.* namespace • Oracle decides to restrict javax.* namespace • Unchanged APIs can still use javax.* namespace • Any other changes not allowed • Adding a value to an enum • Overriding/adding a method signature • Adding default methods in interfaces • Compensating for Java language changes

13. @CesarHgt @tomitribe javax.* to jakarta.* namespace https://jakarta.ee/resources/JakartaEE-Datasheet-July172020_ﬁnal.pdf

14. @CesarHgt @tomitribe ● javax.* namespace no longer valid; need to use jakarta.* ● Implementations are available ○ API jars are available for all components ○ Initial component implementations for all APIs ○ TCKs for all APIs ○ Platform and Web Proﬁle speciﬁcations ● Available on JDK 8; JDK 11 support planned post GA

15. @CesarHgt @tomitribe

16. @CesarHgt @tomitribe Apache TomEE ● Apache Tomcat + Java EE = Apache TomEE ● Built from Apache components ● MicroProﬁle compliant ● Footprint: 30MB zip, 100~MB memory ● TomEE 9.0.0-M3 (javax -> jakarta)

17. @CesarHgt @tomitribe tomee.apache.org

18. @CesarHgt @tomitribe Apache TomEE http://tomee.apache.org/comparison.html

19. @CesarHgt @tomitribe TomEE 9 M3 ● Bytecode level ○ Eclipse Transformer ○ TomEE Patch Plugin. ● No branches. No forks. No merge-conﬂict hell. Just two separate binaries from the same source; TomEE 8x for javax users: TomEE 9x for jakarta users. ● 95% pass rate on the Jakarta EE 9 Web Proﬁle TCK.

20. @CesarHgt @tomitribe

21. @CesarHgt @tomitribe Jakarta EE 9 Up and Running

22. @CesarHgt @tomitribe Jakarta EE 9 Up and Running

23. @CesarHgt @tomitribe Jakarta EE 9 Up and Running

24. @CesarHgt @tomitribe ● https://www.tomitribe.com/blog/jakarta-ee-9-milestone-and-apache-t omee-9-0-0-m1/ ● https://tomee.apache.org/tomee-9.0/docs/ Resources

25. @CesarHgt @tomitribe • tomee.apache.org/community • Share your migration takeaways • Documentation • Website ﬁxes • Code tests • Code examples • Coverage increase for unit, integration, performance and static tests • Workshops

26. @CesarHgt @tomitribe The future of cloud-native Java

27. @CesarHgt @tomitribe

28. @CesarHgt @tomitribe

29. @CesarHgt @tomitribe • jakarta.ee/connect ○ Community, Working Group and Projects Mailing List ○ Slack, Newsletter, Blogs, Social Media • Join Jakarta EE community meetings • Join EE4J top project and Jakarta EE working group • Spread the word by speaking at conferences or blogging

30. @CesarHgt @tomitribe Thank you César Hernández Paving the way with Jakarta EE and Apache TomEE

Paving the way with Jakarta EE and Apache TomEE - JCConf

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