Event-driven serverless architectures using Knative and Cloud Run
summary
Explains how Knative Serving plus Knative Eventing and managed Cloud Run run containers serverless with real features: revision-based deploys, traffic splitting, and auto-scale to zero (default 60s). Describes cloud events, brokers, triggers, channels, and event sources (Cloud Scheduler, BigQuery, Cloud Storage) and recommends broker + trigger delivery over manual channels. Shows a working pipeline that runs daily at 4pm, queries BigQuery, renders a chart into Cloud Storage and emails it via SendGrid — fully event-driven and tested.
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chapters (15)
- 0:00Start
- 7:55Serverless containers with Knative and Cloud Run
- 9:46Knative Stack
- 11:30Knative Serving
- 28:22Terminology of Knative Eventing
- 29:36CloudEvents - cloudevents.io
- 31:20Event Sources
- 34:09Service
- 34:31Channel
- 35:12Subscription
- 35:49Delivery Methods
- 36:40Simple Delivery
- 39:13Complex Delivery with reply
- 40:40Broker Trigger Delivery
- 42:40BigQuery Processing Pipeline
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