Spring Kafka. How to Prepare and Not Shoot Yourself in the Foot

on YouTube ↗46m

" summary

Covers configuring Kafka Consumers and Producers using Spring Kafka, showing concrete configuration options and best practices. Walks through common pitfalls around serialization (Serde), concurrency, error handling, and offset commits, and explains practical benefits of Spring Kafka’s higher-level abstraction over raw Apache Kafka clients.

AI-written summary · about

" chapters (19)

1. 0:00Introduction
2. 1:03What is Spring Kafka
3. 3:37OTP business case
4. 4:42Producer setup
5. 8:22Async send pitfalls
6. 10:51Custom producer config
7. 12:19Consumer setup
8. 14:31Type ID issues
9. 17:21Concurrency config
10. 18:46Deserialization errors
11. 20:12Dead Letter Topic
12. 22:02Error handling modes
13. 26:00Message processing modes
14. 30:28Simplifying processing
15. 31:30Converters and bytes
16. 34:24Duplicate filtering
17. 36:08Forwarding to next topic
18. 36:51Handling different DTOs
19. 38:58Summary and tips

" related talks

• 50mSpring Kafka beyond the basics - Kafka journey at ING BankTim van Baarsen · J-Fall 2022
• 43mEvent streaming applications with Kafka Streams, Spring Kafka and ActuatorKo Turk · JNation 2022
• 44mSpring Kafka beyond the basics - Lessons learned on our Kafka journey at ING BankTim van Baarsen · Spring I/O 2022
• 52mStream Processing with the Spring Framework Like You’ve Never Seen It BeforeJosh Long, Viktor Gamov · Spring I/O 2019
• 51mEvent Driven with SpringOleg Zhurakousky · Spring I/O 2019
• 01h 17mUsing @Transactional Like a ProNikita Letov · JPoint 2022
• 52mSpring Recipes: A Collection of Common-Sense SolutionsNathaniel Schutta, Dan Vega · Devnexus 2023
• 33mSpring for ArchitectsNathaniel Schutta · Devnexus 2021