> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tensormesh.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> The Tensormesh Operator UI — a dashboard for your cache fleets: health, capacity, and GPU visibility.

The Tensormesh Operator UI is a live view of your cache fleets: every engine, every GPU node, and
the storage tiers behind them. It installs into the same cluster as the operator.

The UI is read-only: it shows what's wrong and which setting to adjust, but you make every change
yourself with [`tmo-cli`](/v1.0.1/reference/cli), Helm, or the engine configuration. See
[Access & Security](/v1.0.1/ui/access-and-security) for details.

***

## What You Can See

> **Fleet Status**
>
> Every engine and node, its readiness and health, and what needs attention.

> **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](/v1.0.1/ui/installation)**
>
> Install the UI next to your operator.

> **[Configuration](/v1.0.1/ui/configuration)**
>
> Connect metric history, GPU telemetry, and additional clusters.

> **[Monitoring Your Fleet](/v1.0.1/ui/monitoring-your-fleet)**
>
> Triage what needs attention, drill into nodes and GPUs, and track cache and
> performance trends.

> **[Thresholds & Notifications](/v1.0.1/ui/thresholds-and-notifications)**
>
> Decide what counts as a problem, and get notified when it happens.


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