Cloud Kafka Resiliency and Fault Tolerance for Data Streaming Systems

Explore cloud Kafka resiliency and fault tolerance in this 15-minute video from Confluent. Learn to manage cloud volatility when running applications on Confluent Cloud, configure Kafka clients for resilient operations, and implement error handling patterns in Kafka Streams. Discover key concepts such as idempotent producers and consumers, exactly-once processing semantics, and strategies for handling duplicates. Gain insights into designing for failure, securing and monitoring applications, and documenting best practices. For hands-on experience, access the provided link to complete the immersive module on data streaming systems.

Intro
Designing for failure
Error Handling Patterns
Fault tolerance with Kafka Streams
Understanding Idempotence
Accurate processing with Exactly Once
Handling duplicates
What should you test?
Securing and Monitoring Applications
Documenting Applications
Miscellaneous tips