Introduction

In high-traffic APIs, response times can quickly degrade if data is fetched repeatedly from the same source. Caching is a fundamental technique to mitigate this, reducing latency and improving overall performance. This post explores strategies for effectively caching API responses.

What is API Caching?

API caching involves storing responses to frequently requested API

Introduction

Working on the backend of an API involves various considerations, from data handling to ensuring smooth communication between different parts of the system. This post provides a broad overview of common tasks and concepts when developing or maintaining an API backend.

Core Responsibilities

The primary responsibility of an API backend is to handle requests from client

Introduction

In the evolving landscape of software development, maintaining a robust and efficient backend is crucial. Recent activities around the ProvidenceAPI/ProvidenceAPI-Back project highlight ongoing efforts to refine and optimize the API's performance and reliability.

The Focus

The primary focus revolves around improving how the backend handles requests and processes data.

When developing applications, especially in a microservices architecture, it's crucial to manage deployments and feedback effectively. Understanding the status of each deployment and quickly addressing issues can significantly impact development velocity and overall project success.

Introduction

Building a reliable API backend requires careful consideration of various factors, from code quality to deployment strategies. While working on ProvidenceAPI/ProvidenceAPI-Back, we've been focusing on improving the robustness and maintainability of the system. This post outlines key practices for achieving a more stable and dependable API.

Code Quality and Testing