Overview of the Google Cloud Platform (GCP) Cloud Functions Service

Below is an overview of the Google Cloud Platform (GCP) Cloud Functions service.

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Google Cloud Platform (GCP) Cloud Functions Service Overview Google Cloud Platform (GCP) A serverless, stateless, execution environment for application code - running Functions as a Service (FaaS) Run code that responds to Cloud Events, only pay while the service runs, automatically scale Features Triggered by a class of events HTTP (web) Event Cloud Storage Events Requirements Bucket must be in the same project as the Cloud Function Cloud Pub/Sub Events Cloud Scheduler - to trigger periodic events Stackdriver integraiton for monitoring Supported languages Python Requirements 'main.py' file contains definitions for 1 or more Cloud Functions 'requirements.txt' file is used by pip to load dependencies into the runtime. Non-pip dependencies also can be packaged/supplied GCP Cloud Functions doco - Python Node.js Go Deployment Through the Console, gcloud CLI, or from local computer Specify the trigger at deployment time Notification retries If app is unreachable for 20 seconds, notification is retired If app is reachable but doesn't ACK, exponential backoff 30 seconds after failure; up to 90 minutes for up to 7 days Concepts Event triggers - are sent to the Cloud Function as a notification Tips Often used by Data Engineers for ETL when a trigger happens due to data being uploaded to a Cloud Storage bucket or a Pub/Sub message published Consider codeless options like Cloud Dataproc Workflow Templates and Cloud Composer to manage workflows instead of Cloud Functions