Documentation Index
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Overview
The Dashboard module gives teams a single operational view of Bud AI Foundry. It combines request activity, model inventory, deployment readiness, cluster posture, and model quality signals so you can detect issues early and make faster routing or scaling decisions.Key Features
Operational Summary Cards Track total requests, total models, running endpoints, inactive clusters, and project member footprint at a glance. Built-in Time Windows Each major chart supports Last 24 Hrs, Last 7 Days, and Last 30 Days so you can compare short-term anomalies vs. longer trends. Top-Model Intelligence See top models by usage, benchmark accuracy, and input/output token mix to balance cost, quality, and performance. Project-Level Visibility API calls, latency, and throughput views are grouped by project to help you identify hotspots quickly.What You Can Monitor
| Area | What you see | Why it matters |
|---|---|---|
| Requests | 7-day request total, trend sparkline, delta | Detect sudden usage spikes or drops |
| Models | Total model count with cloud/local split | Track inventory growth and hosting mix |
| Readiness | Endpoint, cluster, and project status cards | Spot infra risk before incidents |
| Performance | API calls, latency, throughput charts | Prioritize reliability and capacity work |
| Quality & Cost | Accuracy leaderboard + token metrics | Balance model quality and token spend |
How It Fits in Daily Operations
- Start in Dashboard to identify where trends changed.
- Drill down to Models, Clusters, Projects, or Observability.
- Take action (scale, reroute, investigate, or evaluate).
- Return to Dashboard to confirm outcomes.
Getting Started
Quick Start
Learn core navigation and chart filters
Dashboard Concepts
Understand cards, deltas, and ranking logic
First Monitoring Workflow
Build a repeatable operations review