Modern APIs must cope with high load, peak requests and parallel calls. We design and implement solutions that enable smooth scaling and consistent performance even in high-volume environments.
We use best practices: horizontal scaling, caching, queues, asynchronous calls, CDN and load balancing.
Approaches to scaling
| Method | Description |
|---|---|
| Horizontal scaling | Increasing the number of API instances under load |
| Load balancing | Distribution of requests between servers (HAProxy, Nginx, AWS ELB) |
| Caching | Quick access to frequently used data (Redis, Memcached, CDN) |
| Asynchronous processing | Pending tasks through queues (RabbitMQ, Kafka, Celery) |
| Rate Limiting и Throttling | Control the flow of requests from clients |
Performance optimization
Analysis of bottlenecks by logs and metrics
Support for batch requests and minimization of roundtrip
Using HTTP/2, compressing, merging responses
Code profiling, refactoring, and latency reduction
Load testing (k6, JMeter)
Business results
Reliable operation even with a sharp increase in traffic
Ready to scale at any time
Reduce costs through efficient resource allocation
Predictable performance and fault tolerance
Fewer incidents and manual responses
Where especially important
Mobile and web applications with a large number of users
Financial and Transaction Services
Highly active gaming platforms
API-first products and SaaS solutions
The API should not be a narrow neck of the system. We create a scalable architecture that is resilient to spikes, easy to maintain, and growth-ready - without sacrificing performance or stability.