Redis#
Redis is an in-memory data store that can also be used as a lightweight messaging solution for streaming workloads. Redis leverages the Streams data type to enable low-latency message delivery for time-sensitive analytics and event processing. For customers who prefer a simpler deployment model without Kafka, Redis Streams provides a lightweight alternative that supports core streaming semantics with minimal operational overhead.
Additional information regarding Redis can be found in the Redis documentation.
Redis streams used by various microservices are as follows:
Redis streams# Name
Data Format
Class Name
Description
mdx-rawProtobuf
nv.FrameThe stream where the Perception microservice sends frame metadata.
mdx-bevProtobuf
nv.FrameThe stream where the Perception microservice sends Bird’s Eye View (BEV) based frame data.
mdx-behaviorProtobuf
nv.BehaviorThe stream used by the analytics pipeline to send behavior data.
mdx-behavior-plusProtobuf
nv.BehaviorUsed by the analytics pipeline to send enhanced behavior data, like assigning cluster details to behaviors.
mdx-alertsProtobuf
nv.BehaviorFor all anomaly data sent by the analytics pipeline.
mdx-eventsProtobuf
nv.BehaviorUsed for sending various events such as IN/OUT tripwire events and ENTRY/EXIT ROI events.
mdx-framesProtobuf
nv.FrameThis stream is for enriched frame metadata, which may include additional metrics and analytics, such as FOV and ROI occupancy.
mdx-mtmcJSON
N/A
Used by the Multi-Camera Tracking (MTMC Analytics) microservice for sending MTMC-related data.
mdx-rtlsProtobuf
nv.FrameUsed by the Real Time Location System (RTLS) microservice for sending RTLS-related data.
mdx-amrJSON
N/A
Used to send location and events data of Autonomous Mobile Robots (AMRs).
mdx-space-utilizationProtobuf
nv.SpaceUtilizationUsed for sending space utilization analytics data.
mdx-notificationJSON
N/A
For sending various notifications such as calibration updates, configuration changes, and sensor management.
mdx-vlm-alertsProtobuf
nv.BehaviorUsed for sending Vision Language Model (VLM) verified alerts.
mdx-incidentsProtobuf
nv.IncidentUsed for sending incident data from the analytics pipeline.
mdx-vlm-incidentsProtobuf
nv.IncidentUsed for sending Vision Language Model (VLM) verified incident data.
mdx-embedProtobuf
nv.VisionLLMUsed for sending embedding data for vector similarity searches.
Note
You can use the redis-py library to produce and consume messages from Redis Streams.