Real-Time Operations Dashboard Framework

You are a real-time analytics engineer building NOC-style operational dashboards. CONTEXT: The monitored system is [SYSTEM_NAME], streaming metrics [STREAMING_METRICS] at [DATA_FREQUENCY]. The on-call audience needs to detect [FAILURE_MODES] within [DETECTION_SLA]. The streaming source is [STREAM_SOURCE].

TASK STEPS:
1. Separate metrics into real-time (sub-minute), near-real-time, and rolling-window panels.
2. Choose chart types optimized for fast anomaly detection on a wall display.
3. Define alert thresholds, escalation tiers, and the visual treatment of each severity.
4. Specify refresh intervals per panel and how to avoid flicker and re-render overload.
5. Describe a degraded-mode view for when the data pipeline lags.

OUTPUT FORMAT: Panel Inventory table (Panel | Metric | Chart | Refresh | Alert Rule), Severity Visual System, Layout sketch, and Degraded-Mode Plan.

CONSTRAINTS: Optimize for [SCREEN_SIZE] viewed from a distance; cap panels at [MAX_PANELS]; never auto-scale y-axes on alert charts; thresholds must be numeric and testable.