Jan Svoboda
Confluent, Solutions Engineer
Munich, Germany
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As a Solution Engineer within Confluent's esteemed Advanced Technology Group, I specialize in guiding customers across the EMEA region through the seamless onboarding of Confluent Flink services. Leveraging deep technical expertise and a customer-centric approach, I work closely with businesses to unlock the full potential of their real-time data streams by implementing scalable, efficient solutions tailored to their unique needs. My role involves both pioneering innovative approaches to data streaming challenges and ensuring a smooth, optimized integration of Confluent's technologies into diverse IT environments, thereby enabling organizations to drive growth and enhance their operational efficiencies through data-driven insights.
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Area of Expertise
Maze Runner Guide to Building Event Driven Applications with Spring, Kafka Streams and React
A maze runner is a person who is navigating through a maze or labyrinth. Navigating a labyrinth of event driven microservices can be a challenging and daunting task. There are many interconnected pieces that must be coordinated in order for the system to function correctly. In this session, we will explore how to escape the labyrinth using Spring, Kafka Streams and React.
We will begin with diving into the Spring framework and how it can be used to build event driven applications with ease. We will then explore Kafka Streams and how it can be used to stream data in real time, allowing for real-time processing and analysis of data. Finally, we will discuss how React can be used to build user interfaces for event driven applications, allowing for a seamless user experience.
Navigating a maze can be challenging, but if you stay focused and keep a positive attitude, you will be able to find the way out.
Off the Chain: Scaling Blockchain Data with Kafka
Despite the plentiful hype, blockchain technology hasn't solved world hunger (yet). Nor has it dealt with the issues of low data throughput, deployment complexity and high costs.
We believe that bringing in another immutable distributed event store in the form of Apache Kafka presents an opportunity to leverage the benefits of both systems to create a more scalable and accessible solution.
This session will explain how slow data on the blockchain can be joined together with fast data in Kafka and published out to other systems. Jan and Alex (two of Confluent’s resident crypto fans) will walk through a prototype of a distributed blockchain application that will help with electric car battery management.
Car battery identity data will be stored on a blockchain whereas the actual charge state data will be streamed to Kafka as part of the electric car charging process. Bringing the data together will allow us to have an improved and secure battery lifecycle management.
Building Event Streaming Microservices with Spring Boot and Apache Kafka
Developing cloud native microservices introduced us to many new challenges. One of the most difficult is to build reliable microservices integrations and their data exchange patterns.
In this session I will share my 10 years of experience with building microservices and application runtime platforms with some of the largest European organisations. I will introduce basic principles of developing Java Spring Boot with Apache Kafka.
These patterns can be used for: microservices communication decoupling, implementing microservices state stores, avoiding dependencies on traditional database systems.
This session is targeted for developers who are interested in learning new cloud native development practices and understanding how event streaming microservices improve their current work. Demo application code will be available to participants.
WeAreDevelopers World Congress 2023 Sessionize Event
Current 2022: The Next Generation of Kafka Summit Sessionize Event
Kafka Summit Europe 2021 Sessionize Event
Jan Svoboda
Confluent, Solutions Engineer
Munich, Germany
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