We can all agree that Apache Kafka is an incredibly useful and powerful technology that’s found its way into the heart of a number of companies spanning numerous industries. To the untrained eye, there’s little that Kafka can’t do. But as with any technology, there are limitations. This panel of experienced technologists will explore just how far we can push Kafka––where we have to get creative and where perhaps Kafka isn’t the answer.
- Event sourcing with Kafka––yea or nay?
- Implementing custom state stores for Kafka Streams
- Successfully using Kafka at the edge
- How fast can Kafka go? Ultra-low-latency use cases
We’ll discuss the why behind these use cases, where the panelists hit a wall with Kafka, and where next-level approaches to engineering and implementation are required
Presenter
Amanda Gilbert
ConfluentAmanda Gilbert is a Staff Solutions Engineer for Confluent and a Confluent Cloud subject matter expert. She has been working in the data engineering space since graduating college in 2014. She is passionate about building event driven architectures that utilize existing technologies, limit technical debt and create performant applications. Amanda lives in Baltimore, MD where she enjoys playing poker, hiking, traveling and reading in her free time.
Presenter
Anna McDonald
ConfluentAnna McDonald is The Technical Voice of the Customer at Confluent. Prior to joining Confluent, she was a principal software developer at SAS Institute. She specializes in integration architecture and event streaming. Her most recent work includes creation of the derivative events design pattern. A speaker at Kafka Summit and Jfokus, Anna loves all things technical as well as math puns.
Presenter
Daan Gerits
Shono.ioDaan has been at the forefront of the data landscape since the early days of the data (r)evolution designing and implementing data driven architectures for startups, telco's, airports and banks. While early focus was on the usual big data suspects, focus has shifted in the last 6 years towards streaming and event driven systems. The result? A vision that goes well beyond your typical Kafka use-case into fundamentally changing how businesses work today.
Daan recently joined KOR Financial, a new institutional financial transaction data management and processing platform, as their Chief Data Office - designing and implementing a bold event-driven vision at peta-scale.
KOR Financial is the ideal platform for building out the next generation business, one that is driven by the interactions that are happening instead of their results.
Presenter
Kai Waehner
ConfluentKai Waehner is Field CTO at Confluent. He works with customers across the globe and with internal teams like engineering and marketing. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, Internet of Things, and Blockchain. Kai is a regular speaker at international conferences such as Devoxx, ApacheCon and Kafka Summit, writes articles for professional journals, and shares his experiences with new technologies on his blog: www.kai-waehner.de. Contact: kai.waehner@confluent.io / @KaiWaehner / linkedin.com/in/kaiwaehner.
Presenter
Kamlesh Shah
Morgan StanleyI am a technical architect at Morgan Stanley. As an Executive Director, I have been heading the Liquidity Management Technology group there for 5+ years. I have many years of experience in various financial organisations, leading build outs of mission critical platforms for a global user base using scalable distributed technologies, requiring high performance and round the clock availability.