mo 8c72d1dc63 feat: realtime Live dashboard in Data Explorer + fix panel layout
- New "Live" tab: auto-polls /api/federated/live every 2.5s with
  animated counters, ingestion throughput sparkline, per-source
  write-rate bars, a region scorecard matrix (heat-shaded) and live
  business breakdown charts (region/channel/status/customers/
  telemetry/supply)
- Backend /api/federated/live: instant source estimates (Postgres),
  monotonic max(event_id) for MySQL and Mongo estimated count for
  immediate movement, Cassandra from cached matrix; business aggs
  cached over the small Hadoop lake tables (short TTL)
- Fix embedded Trino panels being squeezed with internal scrollbars
  by making panels/grids shrink-0 so the page scrolls instead
2026-06-28 21:10:19 +00:00

ATC Command Center

Autonomous agent hub for the Dell ATC lab — Ops Floor UI, FastAPI backend, 5 operator agents.

Quick start

docker compose up -d --build

Open: http://10.0.21.33/

Stack

  • ui — React dashboard + operator sprites (cap + headset)
  • api — FastAPI (status, feed, prompts, WebSocket)
  • redis — live event bus
  • caddy — reverse proxy (:80)

VM 304 (MCP)

  • IP: 10.0.21.33 (DHCP on VLAN 20 / br_20)
  • Proxmox VMID 304 on atc-gpu
  • SSH: root / Dell2026!

Gitea

http://atc-mgt01.dell-atc.lan:3001/mo/atc-agents

ATC Command Center — Gitea layout

This repo follows the same pattern as mo/atc-GPU and mo/Lakehouse.

Repo Path on VM304 Purpose
mo/atc-agents /opt/atc-agents Command Center UI + API + docker-compose
mo/atc-data-quality /opt/atc-data-quality DQ API + RAG API
mo/atc-GPU GPU lab VM303 vLLM, model-manager
mo/Lakehouse lake01 / docker hosts Kafka, Spark, Trino, ObjectScale config

This repo structure

atc-agents/
├── api/                 FastAPI backend
├── ui/                  React dashboard
├── caddy/               Reverse proxy routes
├── config/              Deploy reference (mirrors production)
│   ├── command-center/  docker-compose, Caddyfile, .env.example
│   ├── data-quality/    Link to mo/atc-data-quality
│   └── jupyter/         JupyterLab service snippet
├── docs/                Runbooks
├── scripts/             deploy.sh
└── docker-compose.yml   Production stack (clone with atc-data-quality sibling)

Deploy

git clone http://atc-mgt01.dell-atc.lan:3001/mo/atc-agents.git /opt/atc-agents
git clone http://atc-mgt01.dell-atc.lan:3001/mo/atc-data-quality.git /opt/atc-data-quality
cp config/command-center/.env.example /opt/atc-agents/.env   # edit secrets
./scripts/deploy.sh

Open: http://10.0.21.33/

Services (port 80 via Caddy)

Route Service
/ React UI
/api/* Agents API
/dq/* Data Quality API
/rag/* Knowledge Chat / RAG
/jupyter/* JupyterLab (S3 env preconfigured)
:5001 Docling UI (direct)
S
Description
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