Reliability
How to Handle HTTP 429 Responses
A practical guide to Retry-After, rate-limit headers, bounded backoff, jitter, queues, and safe retry behavior.
Open resource →Practical reliability guidance
Engineering Guides
Clear explanations of rate limiting, backoff, caching, queues, timeouts, and resilient API design.
API Reliability
Understanding Rate-Limit Headers
Learn how to interpret limits, remaining capacity, reset values, Retry-After, provider-specific fields, and the current IETF RateLimit draft.
Open resource →
Latency and Reliability
Choosing Reasonable API Timeouts
Plan connection, response, and total deadlines across dependency chains, retries, safety margin, cancellation, and production latency evidence.
Open resource →
Capacity Planning
How Much API Capacity Does Your Application Need?
Turn user activity, background work, peaks, retries, latency, payloads, provider limits, and safety margin into a practical API capacity estimate.
Open resource →
Rate Limiting Fundamentals
API Rate Limits Explained
Understand fixed and sliding windows, token and leaky buckets, burst capacity, quota scopes, weighted work, overlapping policies, and HTTP feedback.
Open resource →
Retry Reliability
Exponential Backoff and Jitter
Learn when retries are safe, how capped exponential backoff works, why synchronized clients collide, how jitter spreads work, and how deadlines and retry budgets bound the result.
Open resource →
Queue Reliability
Designing a Reliable API Request Queue
Design bounded API work queues with durable enqueueing, priority and concurrency controls, delayed retries, idempotency, dead-letter review, redrive, and queue-age monitoring.
Open resource →
Caching and Freshness
Caching API Responses Safely
Cache API responses safely with complete keys, HTTP directives, TTLs, validators, invalidation, stampede control, stale policy, privacy boundaries, and observability.
Open resource →