Systems | Development | Analytics | API | Testing

Ultimate Guide to API Latency and Throughput

Latency and throughput are the two most important metrics for API performance. If your API feels slow or struggles with heavy traffic, understanding these is your first step to fixing it. Latency: The time it takes for a request to go to the server and back (measured in milliseconds). Think of it as how quickly a single request is handled. Throughput: How many requests your API can handle in a second (measured in requests per second). It's about your system's capacity.

Data Consistency in Sharded APIs: Key Integration Patterns

Struggling with data consistency in sharded APIs? Here's what you need to know upfront: Data sharing improves performance by dividing data across multiple databases, but it introduces challenges in maintaining consistency. Consistency models matter: Choose between strong consistency (immediate accuracy, higher latency) and eventual consistency (temporary inaccuracies, higher performance).

How Distributed Rate Limiting Works with Open-Source Tools

Distributed rate limiting is essential for managing traffic across multiple servers, ensuring fairness, preventing abuse, and maintaining system reliability. Unlike local rate limiting, which works on a single server, distributed rate limiting uses a centralized datastore to enforce limits globally, making it ideal for large-scale applications and multi-node setups.

3 Benefits of API Banking | Dreamfactory

Financial institutions around the world are embracing APIs to drive digital transformation, enable seamless communication across systems, and provide clients with secure, real-time access to banking services. Every time a customer taps a mobile banking app or interacts with an online financial platform, APIs (Application Programming Interfaces) make these interactions possible. In today's API-first financial landscape, these interfaces are no longer a luxury—they are a strategic necessity.