Flexprice's real-time usage metering feature allows developers to track a variety of custom events such as API call counts, computation times, etc. The main steps to implement this feature are listed below:
1. Defining event types::
- Define the types of events that need to be tracked in the dashboard or via the API
- Metrics such as "api_call", "gpu_time", etc.
2. Using SDK to send event data::
- Use the Python example:
from flexprice import FlexpriceClient client = FlexpriceClient(api_key="your-api-key") client.track_event(user_id="user123", event_type="api_call", value=1)
- JavaScript example:
flexprice.trackEvent({userId: "user123", eventType: "compute_time", value: 3600})
3. System processing flow::
- Event data is processed in real-time via Kafka message queues
- ClickHouse Database Stores and Aggregates Data
- Supports millions of events per hour
4. Viewing and validating data::
- View usage data in real time in the Flexprice dashboard
- Querying user-specific usage statistics using the API
This design ensures that usage data is accurately tracked and processed in real-time, even in highly concurrent scenarios.
This answer comes from the articleFlexprice: an open source billing tool that supports usage billing and subscriptionsThe
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