The Promise of Event Driven Programming with Fast Data
summary
Argues that microservices must own their own data and favor event sourcing as primary audit log for history, auditing and shardable, append-only storage; shows a production design with a fast-data backplane (Kafka/Cassandra style) orthogonal to services, a search cache (CRUD) and polyglot persistence, and cites running 132 JVMs for two years without crashing; promotes feedback control loops for self-healing with anomaly detection, Spark/RapidMiner for models, and Elasticsearch/Grafana/Kibana for insight and SLAs defined in milliseconds to minutes.
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chapters (8)
- 0:00Start
- 5:53Outline
- 6:49Micro Services
- 14:04Promise Theory
- 17:14Event Sourcing
- 23:46Fast Data
- 27:24Feedback Control
- 34:05Building Systems
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