Asynchronous and Broadcasting APIs using Kafka
summary
Walks through an implementation using Apache Kafka to provide asynchronous APIs and broadcast patterns, showing concrete use of topics, consumer groups and compacted topics for state, and how to wire microservices for inventory streaming and notification pipelines. Describes code-level approaches for request–reply, durable event fanout and real-time analytics, shows how messages are partitioned and consumed for broadcasting, and reports end-to-end verification of message delivery and latency behavior for production-like workloads.
AI-written summary · about
chapters (5)
- 0:00Introduction to Kafka APIs
- 4:01Asynchronous APIs with Kafka
- 10:03Broadcasting APIs using Kafka
- 17:20Real-time data handling
- 21:06Q&A and closing remarks
related talks
16mAn introduction to Apache Kafka - this is Event Streaming, not just Messaging
30mEvent Streaming and the Future of Applications
16mIntroducing Apache Kafka
45mManage, secure, and socialize Kafka topics
26mEvent-driven applications: Apache Kafka and Python
01h 02mKafka for .NET Developers
01h 03mApache Kafka Event streaming platform for .NET developers
37mEverything you Wanted to Know about Apache Kafka but you Were too Afraid to Ask!
