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, peak-resistant, easy-to-maintain, and growth-ready architecture without sacrificing performance or stability.
Popular Topics
Main Topics
Contact Us
Fill out the form below and we’ll get back to you soon.