Running serverless jobs on GCP
summary
Shows how to build a serverless streaming pipeline on Google Cloud Platform by wiring Pub/Sub topics into a Dataflow (Apache Beam) job that computes flight arrival and departure delays and writes results to BigQuery. Demonstrates autoscaling limits (Dataflow capped at 150 workers in the demo), cost examples (~€90/month for continuous Dataflow), Cloud Functions free tier (2M invocations), and exposing results via a Data Studio dashboard and BigQuery live-view.
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chapters (9)
- 0:00Start
- 2:36Serverless Architecture
- 4:58Storage
- 12:19Streaming data ingestion: Pub/Sub
- 13:26Ingestion and pipeline: Dataflow
- 16:59Pipeline: Cloud Functions
- 23:19Data exploitation
- 25:22Final architecture
- 27:54Pro mode: automate batch tasks
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