International Research Journal of Education and Technology

The research investigates the complex connection between Google Cloud Functions V1 and V2 and numerous Google Cloud Platform services while exploring their joint benefits together with integration difficulties. The combination of Cloud Functions serverless computing with other GCP services creates an effective method for developing scalable event-driven applications that respond instantly. Research examines different integration approaches which integrate data management functions with processing systems and machine learning modules and real-time communication and addresses the performance aspects together with security measures and cost reduction mechanisms of these comprehensive systems.

Serverless data pipelines find their central element in the data analytics field through the implementation of Cloud Functions. The combination of Cloud Functions with BigQuery, Cloud Storage and Dataflow permits organizations to build automated event-driven data workflows which process data immediately upon arrival. When Cloud Storage buckets receive new data events Cloud Functions automatically start data ingestion processes that lead to data transformation through Dataflow and finally store updated data in BigQuery. Comments about Cloud Functions base their existence on the need for short-lived data processing which makes them ideal for running data pipelines at efficient and scalable levels.

Keywords: Google Cloud Functions, Serverless Computing, Cloud Integration, Microservices, Event-Driven Architecture, Data Processing.