---
name: aiskillstore-latency-tracker
description: "Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations. Triggers on: latency, timing, performance, slow, speed, instrumentation."
metadata:
  decimalai-skill-id: "1584497e-8581-4687-9bea-80e149c4eaeb"
  decimalai-version-id: "4d9ce9fd-2f48-4977-8ce7-2c6a5527e311"
  decimalai-version: "1"
  decimalai-body-sha256: "7064c741308e96b4bb8d574b65e32566853ca4641a092fc3216f2021d65b87ff"
  decimalai-name: "aiskillstore/latency-tracker"
  decimalai-format: "1"
  decimalai-invocation: "model"
  decimalai-category: "devops"
  decimalai-source: "https://app.decimal.ai/s/aiskillstore-latency-tracker@1/SKILL.md"
---
# Latency Tracker

Per-call and aggregated latency tracking for MEV infrastructure.

## When to Use

- Implementing performance monitoring
- Debugging slow operations
- Adding instrumentation to code paths
- Tracking end-to-end latency
- Setting up alerting thresholds

## Workflow

### Step 1: Define Span Hierarchy

Structure spans from e2e_flow down to individual calls.

### Step 2: Instrument Code

Wrap operations in tracker.span() calls.

### Step 3: Set Alert Thresholds

Configure alerts for latency exceeding expected ranges.

---

## Span Hierarchy
e2e_flow (root)
├── rust_hotpath_call (5-15ms)
│   └── rpc_eth_call (5-20ms)
├── tx_submit
└── tx_confirm (1-15s)

## Usage
```typescript
const e2e = tracker.startE2E('liq');

await e2e.span('rust_call', async () => {
  return await callRust();
});

e2e.complete({ success: true });
```

## Alert Thresholds

| Span | Expected | Alert |
|------|----------|-------|
| rust_hotpath | 5-15ms | >30ms |
| rpc_eth_call | 5-20ms | >50ms |
| e2e_to_submit | 10-50ms | >100ms |