Struggled with the complexity of designing Kafka Streams applications? Without sufficient up-front architecture work, it’s all too easy to stumble into misunderstandings, rework, or outright failure. Although standards like UML and C4 model have guided software designs for years, stream processing has lacked its own visual framework—until now.

KSTD (Kafka Streams Topology Design) introduces an open standard and component library for describing and visualising Kafka Stream Topologies with Excalidraw. Simple design principles ensure teams can keep diagrams simple yet include important details, build trust in their designs, and streamline the development lifecycle.

You will learn how standardised diagrams support team alignment, and how KSTD fosters consistent and clear communication for Kafka Streams.

Design up-front, avoid mistakes, save time, and build trust.

🌟 Session Overview 🌟

Session Name: Maximising Cassandra's Potential: Tips on Schema, Queries, Parallel Access, and Reactive Programming Speaker: Hartmut Armbruster Session Description: In this talk, we will design the backend and data layer for a data-rich social platform feed tailored to authenticated users.

We will begin with UI wireframes and then develop logical and physical Cassandra data models and query patterns. Using reactive programming paradigms, we will optimize the process flow to efficiently execute queries in parallel.

Finally, we will implement a Proof of Concept (POC) using Kotlin, Quarkus, and Mutiny. While reactive programming can initially seem intimidating, it becomes productive, elegant, and even enjoyable once you become familiar with it.

This talk aims to inspire new ideas and showcase what’s possible with a modern, tailored, and efficiently utilized stack.

Prior knowledge of Cassandra Query Language (CQL), data partitioning/sharding concepts, and reactive programming is beneficial but optional.

🚀 About Big Data and RPA 2024 🚀

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