Overview

With the growing integration of AI capabilities and usage-based pricing components in modern products, metering, attributing, and analyzing usage are crucial for ensuring profitability per customer.

#The Metering Challenge

Accurate real-time processing of large volumes of events is pivotal for billing and data-intensive applications. The challenges include:

• Cost: Database writes at scale can be expensive.
• Accuracy: Metrics systems may not provide the needed accuracy due to sampling.
• Latency: Periodic batch processing in data warehouses can introduce latency.

#Demo videos

Watch our video on how to quickstart with OpenMeter.

Discover how to implement usage-based billing with OpenMeter and Stripe:

#Architecture

OpenMeter leverages stream processing. It's written in Go and uses:

• the CloudEvents format to describe usage,
• Kafka to ingest events,
• and ClickHouse to dedupe and aggregate meters.¹

OpenMeter provides a REST API for integrations.