Bootiful Stream Processing!
A presentation at JAVA Z-DAY by Viktor Gamov
Bootiful Stream Processing with Spring and Con luent @con luentinc f | f @gamussa
@gamussa | #javazday | @confluentinc
★gamov.dev/twitter ★gamov.dev/telegram ★gamov.dev/youtube @gamussa | #javazday | @confluentinc
Agenda What I will try to show you today @gamussa | #javazday | @confluentinc
Agenda What I will try to show you today • Ka ka and Stream Processing 101 f @gamussa | #javazday | @confluentinc
Agenda What I will try to show you today • Ka @gamussa | #javazday | @confluentinc
ka and Streams f A quick refresher
@gamussa | #javazday | @confluentinc
Stream Processing @gamussa | #javazday | @confluentinc
Stream Processing @gamussa | #javazday | @confluentinc
Stream Processing @gamussa | #javazday | @confluentinc
with Ka ka Streams f Event Streaming Continuous platform Computation API based clustering
Spring Boot with Ka ka Streams Serving Layer (Microservices, Elastic, etc.) Event Streaming Continuous platform Computation API based clustering f @gamussa | #javazday | @confluentinc
Spring Boot with Ka ka Streams Serving Layer (Microservices, Elastic, etc.) Event Streaming Continuous platform Computation API based clustering f @gamussa | #javazday | @confluentinc
Spring Boot with Ka ka Streams Serving Layer Interactive Queries Event Streaming Continuous platform Computation API based clustering f @gamussa | #javazday | @confluentinc
App Streams API @gamussa | #javazday | @confluentinc
App Streams API Not running inside brokers! @gamussa | #javazday | @confluentinc
Same app, many instances App App App Streams API Streams API Streams API @gamussa | #javazday | @confluentinc Brokers? Nope!
Same app, many instances App App App Streams API Streams API Streams API @gamussa | #javazday | @confluentinc Brokers? Nope!
Before Processing Cluster Shared Database Your Job @gamussa | #javazday | @confluentinc Dashboard
After Dashboard APP Streams API @gamussa | #javazday | @confluentinc
Let’s jump right in! Talk is cheap, show me the code ™ @gamussa | #javazday | @confluentinc
@gamussa | #javazday | @confluentinc
@gamussa | #javazday | @confluentinc
Want to learn more? @gamussa | #javazday | @confluentinc
Learn Ka ka. Watch full version https://gamov.dev/developer Start building with Apache Ka ka at Con luent Developer. f f f f f Con luent Developer developer.con luent.io
@gamussa | #javazday | @confluentinc
@gamussa | #javazday | @confluentinc
You were assigned to refactor your existing monolith, legacy system, or other to-be-deprecated code into a shiny new event-driven system. And let us assume that you want to use the Spring Boot and Spring Cloud Stream as your guiding architectural choices while you are in the process. These are not just cool things to use. They are robust tools for building modern microservice-based apps! In this talk, Viktor Gamov live-code his way to a small, functioning Spring Boot microservice. Apache Kafka integrates the services, and Spring Kafka and Spring Cloud Streams as the API of choice. You will see how to use Spring and Kafka together, apply the opinionated design patterns, and avoid the antipatterns while building event-driven architectures and real-time stream processing systems. As a bonus, we will ship this microservice to production in Kubernetes using Spring Boot tools!
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