M6-2: Performance Optimization & Caching System

Epic: Milestone 6 - Security & Production Readiness
Story Points: 10
Priority: High
Assignee: Development Team
Labels: performance, caching, production, milestone-6

Objective

Implement comprehensive performance optimization and multi-tier caching system to ensure production-ready performance for the Unraid MCP server. This system provides efficient data access, reduced API response times, and optimal resource utilization.

User Story

As a system administrator, I want the MCP server to respond quickly and efficiently to all requests so that my AI assistant can provide real-time insights without delays or system overhead.

Detailed Requirements

Functional Requirements

Multi-Tier Caching System
- L1 in-memory cache for frequently accessed data
- L2 SQLite disk cache for persistent storage
- Cache invalidation and TTL management
- Cache warming and preloading strategies
Performance Optimization
- Request batching and deduplication
- Lazy loading for expensive operations
- Resource pooling and connection management
- Memory usage optimization and garbage collection
Response Time Optimization
- Sub-second response times for cached data
- Parallel processing for independent operations
- Streaming responses for large datasets
- Compression for network transport
Resource Management
- CPU and memory usage monitoring
- Resource quotas and throttling
- Background processing for heavy operations
- Graceful degradation under load

Technical Specifications

Tool Definition

{
  name: 'performance_metrics',
  description: 'Monitor and analyze MCP server performance metrics and caching effectiveness',
  inputSchema: {
    type: 'object',
    properties: {
      metric: {
        type: 'string',
        enum: ['response_times', 'cache_stats', 'resource_usage', 'throughput', 'all'],
        description: 'Performance metric to analyze'
      },
      timeRange: {
        type: 'string',
        enum: ['1h', '6h', '24h', '7d'],
        default: '1h',
        description: 'Time range for performance analysis'
      },
      includeRecommendations: {
        type: 'boolean',
        default: true,
        description: 'Include performance optimization recommendations'
      },
      exportFormat: {
        type: 'string',
        enum: ['json', 'summary'],
        default: 'json',
        description: 'Output format for metrics'
      }
    },
    required: ['metric']
  }
}

Acceptance Criteria

Multi-tier caching system implemented with L1 and L2 tiers
Performance metrics collection and reporting functional
Response times meet specified performance requirements (95th percentile < 1 second)
Cache hit ratios achieve target effectiveness levels
Resource usage optimization reduces system overhead
Request batching improves throughput for bulk operations
Comprehensive performance testing validates optimizations
Memory usage remains stable under sustained load

Definition of Done

Code implemented following Effect.ts functional programming patterns
Multi-tier caching system fully operational
Performance monitoring and metrics collection implemented
Comprehensive performance and load testing completed
Cache effectiveness validated through testing
Resource usage optimization verified
Documentation updated with performance guidelines
Code review completed and approved
Integration testing with full MCP server stack completed