Implement explicit resource limits and monitoring to prevent performance degradation and memory issues. This includes: 1. Define maximum sizes for buffers and caches 2. Implement early size checking 3. Reuse buffers for large operations 4. Add monitoring/warnings when approaching limits Example implementation: ```typescript class ResourceAwareProcessor { private static readonly MAX_BUFFER_SIZE = 1024 * 1024; // 1MB private static readonly MAX_CACHE_ENTRIES = 1000; private buffer: Buffer | null = null; async processData(data: string): Promise { // Early size check if (Buffer.byteLength(data) > this.MAX_BUFFER_SIZE) { throw new Error(`Data exceeds maximum size of ${this.MAX_BUFFER_SIZE} bytes`); } // Reuse buffer if possible if (!this.buffer) { this.buffer = Buffer.alloc(this.MAX_BUFFER_SIZE); } // Process with size awareness try { // ... processing logic } catch (error) { console.warn(`Processing warning: ${error.message}`); } } clearBuffer(): void { this.buffer = null; } } ``` This approach: - Prevents memory exhaustion - Improves performance through buffer reuse - Provides early failure for oversized inputs - Enables monitoring and debugging