Google Cloud Platform Solutions for DevOps Engineers
summary
Shows concrete patterns: event-driven pipelines using Cloud Functions triggered by Pub/Sub and Cloud Storage to build thumbnails and ETL; autoscaling-to-zero App Engine and Kubernetes usage; monitoring with Stackdriver including debug, profiler and uptime checks; BigQuery for analytics with JS UDFs, BigQuery pricing examples (petabytes stored with ~$20k bills, $24/TB storage cited) and federated sources; use of preemptible VMs (4-hour max) and the 1 million free Pub/Sub/month scaling claim.
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chapters (27)
- 0:00Start
- 0:07About me
- 0:23Agenda
- 1:09What's so hard about traditional app development?
- 2:21Google Cloud Platform (GCP)
- 3:18Google sees serverless as
- 3:53Serverless is more than a set of functions
- 4:35Meet Serverless
- 5:41Serverless types
- 5:56App Engine - managed application platform
- 6:47App Engine: Services and versions
- 7:23App Engine: Traffic splitting
- 8:36App Engine: Runtimes
- 9:08Asynchronous task execution
- 10:13Cloud Tasks - Message Queue systems
- 10:38Task Queues
- 11:20Reduce request latency
- 14:00Cloud Functions - Event-driven - FaaS
- 14:32Functions: your gateway to GCP Services
- 15:49Cloud Functions Trigger
- 19:22Summary: When to use what
- 23:28Google Stackdriver: Uptime check
- 24:46What is BigQuery?
- 26:23BigQuery: federated data access warehouse
- 29:09Architecting for The Cloud
- 29:50Data Pipeline Integration at REEA.net
- 31:16fluentd
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