Every 100ms of API Latency Costs You 7% in Conversions
Akamai research proves that speed is revenue. We optimize API response times through strategic caching, database query optimization, connection pooling, efficient serialization, and smart pagination so your API meets its latency targets under production load.
conversion rate reduction per 100ms of API latency, making API performance directly tied to business revenue
Akamai, 2017
API Performance Optimization
What's Included
Everything you get with our API Performance Optimization
Performance Audit and Bottleneck Analysis
Detailed analysis of every endpoint's response time with flame graphs, query plans, and latency breakdown identifying exactly where time is spent
Caching and Query Optimization
Redis or Memcached caching layer, database query optimization with proper indexing, N+1 query elimination, and connection pooling configuration
Load Testing and Monitoring
Realistic load tests that verify performance under projected traffic, with ongoing monitoring that alerts when response times degrade
Our API Performance Optimization Process
Performance Audit
We instrument every endpoint with timing data, analyze slow queries with EXPLAIN plans, profile serialization overhead, and identify the specific bottlenecks that contribute most to latency. We rank optimizations by impact.
Database and Query Optimization
We add missing indexes, restructure slow queries, eliminate N+1 patterns, configure connection pooling, and implement query result caching. We verify each optimization with before-and-after benchmarks.
Caching Layer Implementation
We design and implement the caching strategy: which endpoints to cache, cache key design, TTL policies, and invalidation triggers. We configure Redis or Memcached and integrate the caching layer into your API middleware.
Load Testing and Monitoring
We run load tests simulating realistic traffic patterns and verify that all endpoints meet their latency targets. We set up ongoing performance monitoring with alerting that catches degradation before users notice.
Key Benefits
Sub-100ms response times for cached endpoints
Redis caching for frequently accessed, infrequently changed data means many API calls resolve in under 10ms. Cache invalidation strategies ensure data freshness while delivering the response times that Akamai's research shows directly correlate with conversion rates.
Database queries that scale with data growth
Proper indexing, query optimization, and N+1 elimination ensure your API stays fast as your database grows from thousands to millions of rows. We analyze query execution plans and add the indexes that make the biggest impact.
Performance under realistic load
Load testing with realistic traffic patterns, not synthetic benchmarks, verifies that your API meets latency targets at projected traffic levels. We test with concurrent users, mixed read/write workloads, and burst traffic patterns.
Research & Evidence
Backed by industry research and proven results
The State of Online Retail Performance
A 100ms delay in load time can hurt conversion rates by 7%, and since API response time is a major component of total page load time, API optimization has direct revenue impact
Akamai (2017)
Page Load and Conversion
A site that loads in 1 second has a 3x higher conversion rate than one loading in 5 seconds, and API latency is often the biggest contributor to slow page loads in dynamic applications
Portent (2022)
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