Amberflo provides the tooling to meter any network or any number of devices. Easily ingest, reconcile, and aggregate events collected asynchronously from across your network. From the moment we receive an event from your system, we guarantee full provenance and ownership with a complete audit trail available as needed.
Amberflo can handle use cases of any event volume or complexity. The platform was built to be domain-agnostic and viable for any application of usage metering and usage-based pricing. From the simplest smart home sensor network to complex factory monitoring use cases with thousands of connected devices, or even metering for autonomous vehicles – at any scale or event volume, Amberflo delivers real-time performance and total accuracy.
Amberflo offers out-of-the-box SDKs to streamline data ingestion, with automated functions such as batching and flushing to support asynchronous ingestion in a distributed environment. Rest assured that your infrastructure is being metered in real time with total accuracy, regardless of the scale of events you are sending. Amberflo was built on a serverless, autoscaling architecture with the highest throughput use cases in mind. We can support use cases of billions of meter events per month without sacrificing performance or security.
Our flexible meter data structure allows you to augment events with custom metadata, called dimensions in Amberflo. Add dimensions to track across devices, locations, networks, and any other custom field. You can then filter and query data based on these dimensions to allow for custom reporting and analytics as needed.
Create real-time visibility and awareness into the health and performance of IoT assets across networks and locations with Signals. Create custom alerts based on percent or absolute change to inform stakeholders of any changes or errors to ensure minimal downtime. Enable downstream automation based on IoT data by configuring Signals with webhooks to take action in third-party systems accordingly.