Shaping Tomorrow's Technology: Navigating Cloud-Native, Serverless, and Polyglot Programming
summary
A live Cool Stuff Store demo shows a Kafka-backed orders topic invoking a payment KFunction that waits 5 seconds per event, processes messages from the "orders" topic, and scales to zero when idle. A simulator sends 100 then 1,000 simulated orders to prove throughput; KNative services run on OpenShift and KEDA autoscaling raises the payment function to 10 pods to handle load. Code mix includes Quarkus, Spring Boot, Node.js and MongoDB and KFunctions deploy in two steps.
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chapters (14)
- 0:00Welcome
- 1:02Cloud-native serverless polyglot
- 3:36K Native for developers
- 5:20Monoliths to microservices
- 7:07Microservices and eventing
- 9:13Cool Store demo
- 15:17Scaling event-driven with Knative
- 16:18Autoscaling with KEDA
- 19:28Knative vs KEDA scaling
- 20:12Serverless efficiency and cost
- 21:16Modernization use cases
- 21:36K Native functions in 2 steps
- 22:20Five R modernization roadmap
- 23:44Closing
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