How loghadharshanndevarasu/ai_domain_project works
CloudOps Command Center is a single-file Streamlit dashboard for operational oversight. Users choose among executive metrics, deterministic incident triage, cloud migration readiness, and security/DevOps indicators; the app renders these views from embedded sample data, with Plotly charts and pandas tables. The excerpt shows the tab dispatch, triage rules, and dashboard/readiness/security rendering, but omits parts of app.py, so links for those portions reflect README capabilities rather than inspected implementation details. There are no external data stores or integrations shown.
Main entry points: app.py Tab dispatcher
Components 11
Operations views
- Tab dispatcher
app.py - Executive dashboard
app.py - Incident analyzer
app.py - Cloud readiness
app.py - Security and DevOps
app.py
Analysis and presentation
- Rule-based triage
app.py - Cost chart
app.py - Pandas tables
app.py - Plotly visualization
app.py
Other components
- Operations user
- Streamlit UI
Connections 11
- Operations user → Streamlit UI: interacts with
- Streamlit UI → Tab dispatcher: runs
- Tab dispatcher → Executive dashboard: dispatches
- Tab dispatcher → Incident analyzer: dispatches
- Tab dispatcher → Cloud readiness: dispatches
- Tab dispatcher → Security and DevOps: dispatches
- Incident analyzer → Rule-based triage: classifies ticket
- Executive dashboard → Cost chart: requests figure
- Executive dashboard → Plotly visualization: renders chart
- Cloud readiness → Pandas tables: builds table
- Security and DevOps → Pandas tables: builds table