---
id: kb-008
title: Feature Optimization Plan - Supabase, Upstash, Vercel
scope:
  type: project
  id: 4sgm
purpose: optimization-plan
tags:
  - strategy
  - optimization
  - feature-utilization
topics:
  - engineering
  - cloud-infrastructure
version: 1
created: 2025-11-26
updated: 2025-11-26
author: droid-agent
status: final
related_ids:
  - kb-007
  - kb-009
external_refs: []
---

# Feature Optimization Plan: Supabase, Upstash, Vercel

This plan outlines how to best leverage Supabase, Upstash, and Vercel features to maximize feature utilization, improve performance, reduce costs, and enable new capabilities.

## Part 1: Supabase Feature Optimization

### 1.1 Database (PostgreSQL)
- **Functions & Triggers**: Move complex logic to database functions to reduce network round-trips and ensure atomic operations.
- **Row Level Security (RLS)**: Enable RLS for multi-tenant data isolation and database-level security.
- **Full-Text Search (FTS)**: Use native PostgreSQL FTS for faster keyword searches and hybrid search capabilities.

### 1.2 pgvector
- **Index Optimization**: Use HNSW indexes for 10-100x faster similarity searches.
- **Batch Operations**: Use batch embedding generation to reduce API calls and costs.
- **Caching**: Implement aggressive permanent caching for embeddings.

### 1.3 Realtime & Storage
- **Realtime**: Enable live collaboration features and real-time entity updates.
- **Storage**: Use Supabase Storage for document attachments and artifact management.

---

## Part 2: Upstash Redis Feature Optimization

### 2.1 Caching Strategy
- **Cache Warming**: Pre-warm cache for common queries to improve initial response times.
- **Smart Invalidation**: Implement granular cache invalidation when entities are updated.
- **Multi-Level Caching**: Add application-level (in-memory) cache to reduce Redis calls.

### 2.2 Pub/Sub & Queues
- **Event-Driven Architecture**: Use Redis Pub/Sub for real-time notifications and decoupled services.
- **Redis Streams**: Use Redis Streams for task queues to improve performance and reliability.

---

## Part 3: Vercel Feature Optimization

### 3.1 Edge Functions
- **Lightweight Operations**: Move health checks and simple tool responses to Edge Functions for lower latency and costs.
- **Global Deployment**: Leverage Vercel's global edge network for faster response times.

### 3.2 Sandbox Optimization
- **Pooling**: Implement sandbox reuse/pooling to eliminate creation overhead.
- **Lifecycle Management**: Optimize pre-creation and lazy cleanup of sandboxes.

---

## Part 4: Implementation Priority

### Phase 1: High Impact, Low Effort
1. Enable Supabase Storage
2. Optimize vector indexes
3. Add cache warming
4. Enable Redis Pub/Sub

### Phase 2: Medium Impact, Medium Effort
1. Enable Supabase Realtime
2. Migrate queues to Redis Streams
3. Implement hybrid search

### Phase 3: High Impact, High Effort
1. Enable RLS
2. Add Edge Functions
3. Optimize sandbox pooling
