---
id: kb-009
title: Resource Utilization Analysis - atomsAgent & atoms-mcp-prod
scope:
  type: project
  id: 4sgm
purpose: resource-utilization-analysis
tags:
  - monitoring
  - performance
  - cost-tracking
topics:
  - engineering
  - operations
version: 1
created: 2025-11-26
updated: 2025-11-26
author: droid-agent
status: final
related_ids:
  - kb-007
  - kb-008
external_refs: []
---

# Resource Utilization Analysis: atomsAgent & atoms-mcp-prod

## Executive Summary

Current resource utilization tracking is **partially implemented** with monitoring infrastructure in place, but **lacks comprehensive usage/consumption metrics** for Upstash Redis and Supabase Database.

## Current Implementation Status

### ✅ What's Currently Tracked

#### 1. Upstash Redis Monitoring
- Embedding cache hits/misses
- Token cache hits/misses
- Rate limit checks
- Redis connection status
- Estimated API calls saved (cost savings)

#### 2. Database Query Performance
- Query execution time (per operation/table)
- Slow query detection (>1000ms)
- Query counts by operation type

#### 3. Usage Analytics
- Tool usage counts (per tool, per user)
- Entity operation counts
- Search query tracking

#### 4. Sandbox Execution Metrics
- Execution time (creation, dependency install, execution)
- Execution status
- Token usage

### ❌ What's Missing

#### 1. Detailed Service Usage
- Total Upstash/Supabase requests per day
- Actual storage usage (bytes)
- Bandwidth consumption
- Actual dollar cost tracking

#### 2. Service-Level Resource Tracking
- Vercel function invocations and execution time
- Cost attribution per user/org
- Comprehensive total cost aggregation

---

## Recommended Implementation

### Phase 1: Enhanced Upstash Monitoring
- Integrate with Upstash Management API to track actual requests, storage, and bandwidth.

### Phase 2: Enhanced Database Monitoring
- Use Supabase Management API or direct database queries to track query counts, storage size, and connection pool usage.

### Phase 3: Service-Level Usage Tracking
- Create a unified `usage_tracking.py` service to aggregate all service costs and consumption metrics.

### Phase 4: MCP Tool Integration
- Expose comprehensive usage and cost metrics via a dedicated MCP tool for easier monitoring and dashboarding.
