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1
Introduction
2
Who am I
3
Who has heard of Kafka
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What is Kafka
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Horizontally scalable
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Producer API
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Consumer API
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Kafka Connect API
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Kafka Streaming API
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Kafka Streaming Platform
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Kafka Streams API
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What it does best
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KStreams
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Why Emojis
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Example
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Storage
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Stream Processing
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Kafka Connect
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Connectors
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Processing Tweet
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Raw Data
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KeyValue Pairs
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KTables
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Demo
25
Kafka Streams
26
Spring
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Querying Aspects
28
Reactive Streams
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Spring Boot
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Live Dashboard
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Point in Time Query
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Reactive Programming Paradigm
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Conclusion
34
Resources
35
Thanks
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Questions
37
Should you use Avro or protocol buffers
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How does Kafka guarantee order
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How to monitor Kafka
40
Outro
Description:
Explore a comprehensive conference talk on architecting and implementing continuous, reactive applications using modern technology stacks without relying on traditional databases. Dive into the world of Kafka, learning about its horizontally scalable architecture, APIs, and streaming platform capabilities. Discover the power of KStreams, Kafka Connect, and Spring Boot for building stateful and reactive stream processing applications. Follow along with a practical example using emojis to demonstrate key concepts in stream processing, storage, and querying. Gain insights into reactive programming paradigms and learn how to create live dashboards and perform point-in-time queries. Ideal for developers and architects seeking to enhance their understanding of cutting-edge stream processing techniques.

Stateful and Reactive Stream Processing Applications Without a Database

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