Large Scale, Distributed and Reliable Messaging with Kafka
summary
Covers using Apache Kafka for large-scale, distributed, reliable messaging in systems with CQRS, events, or high-volume sensor data. Explains Kafka’s capabilities, how to get started quickly, and discusses when Kafka is an appropriate solution versus when it’s overkill compared to other tools.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 5:04What is Kafka and its history
- 9:47Event-driven communication use cases
- 16:38Kafka vs RabbitMQ
- 24:51Producers, consumers and topics
- 34:31Partitions, clusters and replication
- 38:15Kafka in .NET and API
- 42:35Kafka cloud deployment and costs
- 47:00Summary and Q&A
related talks
41mApache Kafka simply explained
01h 31mDeveloping Real-Time Data Pipelines with Apache Kafka
50mIntroduction to Apache Kafka
38mKafka Message Broker Under High Load
53mDemystifying Kafka
40mDistributed Streaming Platforms in Modern Architectures with Apache Kafka
56mReactive Microservices with Apache Kafka
46mEmbracing Anarchy