< session />
Processing Real-Time Trading Data with Event Streaming
Wed, 26 April
The world is moving at an unprecedented pace and much of it has been powered by innovations in software and systems. While event handling, messaging, and processing are not necessarily brand new concepts, the recent emergence in hardware such as virtualizations, multi-core processors, and so on, are in fact pushing the envelope in software design and Kubernetes native development, elevating it to higher levels of capabilities never seen before. In the case of streaming which very often leverages the underlying messaging mechanism(s) to bring distributed messaging to higher forms of purposes, such as financial/trading systems, IoT edge applications, and AI/ML data pipelines, the event streaming platform has indeed become the “glue” in enabling data to flow through disparate systems in the pipeline and in a very dynamic fashion. We will build a simple "trade matching engine" to simulate the buy and sell-side of exchange using Apache Pulsar pub/sub and Quarkus.
< speaker_info />
About the speaker
Mary Grygleski
Regional Director - East, The AI Collective
Mary is a Technical Advocate, Java Champion, and the Regional Director - East at the AI Collective, a non-profit, grassroots community and think tank in the AI space. Mary started as an engineer in Unix/C, then transitioned to Java around 2000 and has never looked back since then. After 20+ years of being a software engineer and technical architect, she discovered her true passion in developer and customer advocacy. Most recently she was the Director of Emerging Technology, helping to build the new AI practice at a boutique software consultancy. She has serviced companies of various sizes such as IBM, US Cellular, Bank of America, Chicago Mercantile Exchange, in topic areas that included Java, GenAI, Streaming systems, Open source, Cloud and Distributed messaging systems. She is also a very active tech community leader outside of her day job. She is the President of the Chicago Java Users Group (CJUG), the North America East Regional Director and the Chicago Chapter Organizer of the AI Collective.
Daniel Oh
Senior Principal Developer Advocate, Red Hat
Daniel Oh is Java Champion and Senior Principal Developer Advocate at Red Hat. He works to evangelize building cloud-native microservices and serverless functions with cloud-native runtimes to developers. He also continues to contribute to various open-source cloud projects and ecosystems as a Cloud Native Computing Foundation (CNCF) ambassador for accelerating hybrid cloud platform adoption in a variety of enterprises. Daniel also speaks at technical seminars, workshops, and meetups to elaborate on new emerging technologies for enterprise developers, SREs, platform engineers, and DevOps teams.
