What's New in Spring for Apache Kafka 2.0

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SpringOne Platform 2017 Gary Russell, Pivotal Discussion of important new features in this Spring abstraction over the Apache Kafka Java client. The project is gaining popularity in the Spring community and provides a fast on-ramp to using Apache Kafka in a Spring application. This update has improved threading and a new Consumer-aware listener.

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What’s New in Spring for Apache
Kafka
By Gary Russell
@gprussell
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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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What's New in Spring for Apache Kafka 2.0

1. What’s New in Spring for Apache Kafka By Gary Russell @gprussell 1

2. Unless otherwise indicated, these slides are © 2013 -2017 Pivotal Software, Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by -nc/3.0/ Compatibility Matrix (project page) 2

3. Unless otherwise indicated, these slides are © 2013 -2017 Pivotal Software, Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by -nc/3.0/ 3

4. Unless otherwise indicated, these slides are © 2013 -2017 Pivotal Software, Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by -nc/3.0/ 4

5. Unless otherwise indicated, these slides are © 2013 -2017 Pivotal Software, Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by -nc/3.0/ KIP-62 == Freedom!! 5 KIP-62 (https://cwiki.apache.org/confluence/display/KAFKA/KIP- 62%3A+Allow+consumer+to+send+heartbeats+from+a+background+thread) • removed the danger of an unexpected rebalance due to a slow listener • (poll() not called often enough) • allowed threading model to be rewritten in 2.0 • before 2.0 - 2 threads - consumer + listener • pause/resume for slow listeners • 2.0 - 1 thread (consumer) - client takes care of heartbeats • Back-ported to 1.3 when we decided to create a 1.x version to support 0.11.x.x (driven by the implementation of the kafka11 binder for Spring Cloud Stream)

6. Learn More. Stay Connected. 6 #springone@s1p Feedback!!!

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