ViPPET’s Architecture#
This section summarizes the core components ViPPET is built from. These components are grouped into ViPPET application specific services and foundational services, which provide platform-wide capabilities.
Application Specific Microservices#
Application-specific microservices implement ViPPET’s end-user workflows. Together they provide the web UI, the backend control plane for pipelines and jobs, and the network camera discovery path used to onboard ONVIF-compatible devices.
Microservice |
Description |
Docs |
API |
|---|---|---|---|
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ViPPET UI microservice provides the web-based React interface for user interaction. It integrates with backend and foundation services through secure API calls. |
N/A |
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ViPPET BE (Backend) microservice orchestrates workflows and exposes core application APIs. It manages user requests, coordinates jobs, and routes analytics results to UI. |
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ViPPET ONVIF Discovery microservice is used to discover ONVIF-capable network cameras on the local subnet. |
N/A |
N/A |
Middleware Microservices#
Middleware microservices provide shared infrastructure capabilities reused across all Edge AI suites, including stream ingestion, model lifecycle management, and operational observability.
Microservice |
Description |
Docs |
API |
|---|---|---|---|
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Model Download microservice is a centralized model management system that downloads AI or machine learning models from various model hubs while ensuring consistency and simplicity across applications, stores the models, accepts custom model uploads, and handles optional format conversions. |
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Metrics Manager service for unified collection, ingestion, and real-time relay of system and application metrics on edge and cloud nodes. It bundles Telegraf-based hardware telemetry (CPU, memory, temperature, Intel® GPU, Intel® NPU) with a FastAPI REST surface that accepts custom metrics in JSON, InfluxDB Line Protocol, and OpenTelemetry formats, and exposes them through a Prometheus-compatible endpoint as well as a Server-Sent Events (SSE) stream suitable for live dashboards. |
