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The Tensormesh Operator UI is the dashboard for the Tensormesh Operator — a live view of your cache fleets: every engine, every GPU node, and the storage tiers behind them. It installs alongside the operator in minutes.
The UI observes — it never changes anything. It shows you what’s wrong and which setting to adjust; you make the change with the tools you already use (tmo-cli, Helm, or the engine configuration). See Access & Security for the full picture.

What You Can See

Fleet at a Glance

Every engine and node, its readiness and health, and what needs attention right now.

Cache Health

How full each cache tier is, whether storage backends are healthy, and early warning of problems.

Performance Over Time

Hit rate, eviction, capacity, and throughput trends — confirm a fix worked or catch a problem building.

Workloads and GPUs

Per-workload cache budgets and who’s over them, plus per-GPU utilization and hardware health.

Next Steps

Installation

Install the UI next to your operator.

Configuration

Connect metric history, GPU telemetry, and additional clusters.

Monitoring Your Fleet

Triage what needs attention, drill into nodes and GPUs, and track cache and performance trends.

Thresholds & Notifications

Decide what counts as a problem, and get notified when it happens.