Stop Building Custom Polling Infrastructure

Every engineering team that integrates with external APIs eventually writes polling code. It starts simple: a cron job, a setInterval, maybe a background worker. Then reality sets in.

The Hidden Cost of Custom Polling

What begins as 50 lines of code quietly grows into a maintenance burden that consumes engineering time disproportionate to its value.

Rate Limit Management

Every API has different rate limits. Your polling system needs to:

• Parse X-RateLimit-Remaining headers (when they exist)
• Implement exponential backoff for 429 responses
• Distribute requests across time windows
• Handle per-endpoint vs per-account limits differently

// This "simple" rate limiter grows complex fast
class RateLimiter {
  private tokens: number;
  private lastRefill: number;
  private readonly maxTokens: number;
  private readonly refillRate: number;

  constructor(maxPerSecond: number) {
    this.maxTokens = maxPerSecond;
    this.tokens = maxPerSecond;
    this.refillRate = maxPerSecond;
    this.lastRefill = Date.now();
  }

  async acquire(): Promise<void> {
    this.refill();
    if (this.tokens <= 0) {
      const waitMs = (1 / this.refillRate) * 1000;
      await new Promise((r) => setTimeout(r, waitMs));
      this.refill();
    }
    this.tokens--;
  }

  private refill(): void {
    const now = Date.now();
    const elapsed = (now - this.lastRefill) / 1000;
    this.tokens = Math.min(this.maxTokens, this.tokens + elapsed * this.refillRate);
    this.lastRefill = now;
  }
}

And this is just one API. Multiply by every integration your product supports.

Change Detection Complexity

Comparing JSON responses sounds straightforward until you encounter:

• Timestamp fields that change on every request (but represent no real change)
• Array ordering that varies between requests
• Nested objects where only leaf values matter
• Pagination where you need to detect changes across multiple pages

Error Handling and Recovery

Production polling systems must handle:

• Network timeouts and DNS failures
• API downtime and maintenance windows
• Authentication token expiration and refresh
• Partial responses and malformed JSON
• State recovery after your own system restarts

The Real Cost: Opportunity

The engineering hours spent maintaining polling infrastructure are hours not spent on your product. A mid-size team typically spends 10-20% of backend engineering time on integration plumbing.

A Better Approach

RocketHooks handles polling infrastructure as a managed service:

• Automatic rate limit compliance: reads limit headers and distributes requests optimally
• JSONPath change detection: monitor specific fields, ignore noise like timestamps
• Built-in retry and recovery: exponential backoff, dead letter queues, state persistence
• Reliable webhook delivery: HMAC-SHA256 signatures, exponential backoff retries, and dead letter queues

Stop maintaining infrastructure that is not your competitive advantage. Focus your engineering effort where it creates unique value for your users.

FAQ

How much time does custom polling actually take?

Based on conversations with engineering teams, initial implementation takes 1-3 weeks. Ongoing maintenance (rate limit changes, error handling, new APIs) costs 2-5 hours per week per integration.

Is a managed polling service reliable enough for production?

RocketHooks runs on AWS Lambda with multi-AZ redundancy. Polling jobs execute with 99.9% reliability, and failed executions retry automatically with configurable backoff.

Can I migrate my existing polling code gradually?

Yes. RocketHooks works alongside existing infrastructure. You can migrate one endpoint at a time and validate results before decommissioning custom code.