Ops Dashboard

Real-time pipeline health monitoring with throughput, latency, and error tracking

The Ops Dashboard is the landing page of the Operations Console (/ops). It provides a real-time view of the event-sourcing pipeline, ingestion rates, processing throughput, latency percentiles, queue health, and top errors, all in a single screen.

Metrics Overview

The top of the dashboard displays six key metrics, each showing the current rate and a secondary stat (peak, total, or count):

Metric	What it measures	Secondary stat
Staged/s	Ingestion rate, commands entering the queue	Peak rate
Completed/s	Processing throughput, commands fully processed	Total completed
Failed/s	Failure rate, commands that errored	Total failed
Blocked	Groups stuck due to errors	Number of error groups
DLQ	Items in the Dead Letter Queue	Redis memory usage
P50, P99	End-to-end processing latency	Peak latency

Metrics marked in red indicate an active problem, non-zero failure rates or blocked groups. Orange indicates a warning state, such as items in the DLQ.

Active Operations

When a projection replay is running or pipelines are paused, a banner appears below the metrics showing:

• Replay status with the current projection name and a link to the detailed progress view
• Paused pipelines listed as orange badges

Throughput Chart

A time-series chart tracks throughput over time, showing staged, completed, and failed rates. Use this to identify processing backlogs (staged >> completed) or failure spikes.

Pipeline Tree

The pipeline tree shows the hierarchical structure of all processing pipelines. Each node represents a pipeline stage.

Operators with ops:manage permission can pause and unpause individual pipeline stages directly from the tree. Pausing a stage prevents new jobs from being consumed while allowing in-flight jobs to complete.

Top Errors

The bottom of the dashboard lists the top error patterns across all queues, showing:

• Count: how many jobs hit this error
• Error message: normalized and deduplicated
• Pipeline: which pipeline stage produced the error

This gives a quick signal on whether errors are concentrated in a single pipeline or scattered across the system.

Real-Time Updates

The dashboard uses Server-Sent Events (SSE) for real-time metric streaming. A connection status indicator in the header shows:

• Connected (green), live SSE connection active
• Polling (yellow), SSE unavailable, falling back to 5-second polling
• Disconnected (red), no connection

Both modes deliver the same data; SSE provides lower-latency updates.

Replay History

A compact section at the bottom shows the latest projection replay run with its status, duration, and description. Click it to navigate to the full replay detail view.