is there a way to autoscale cloud function based on number of messages in pubsub. My understanding of scaling in cloud functions is it scales basis the usage of cpu/memory. my requirement is to parallely process very lightweight data which are huge in number.
Basically the application takes the payload from the queue and inserts to bigquery. but this needs to happen very rapidly. how can i achieve this?
Yes, Cloud Functions can effectively handle the rapid processing of lightweight data triggered by messages in a Pub/Sub subscription. However, it's important to understand the nuances of Cloud Function scaling and how it can be optimized for your BigQuery use case.
Understanding Cloud Function Scaling with Pub/Sub:
num_undelivered_messages
.Setting Up Your Cloud Function:
Optimizing for BigQuery Insertion:
Important Considerations:
While Google Cloud Functions do not offer direct user-configurable scaling based on Pub/Sub metrics, their automatic, event-driven scaling model is well-suited for handling high volumes of lightweight, rapid processing tasks. By optimizing your Cloud Function for efficient processing and BigQuery insertion, you can achieve the rapid data handling you require.
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