Over the last 15+ years, I’ve worked on designing APIs that are not only functional but also resilient —  able to adapt to unexpected failures and maintain performance under pressure. API resilience is about creating systems that can recover gracefully from disruptions, such as network outages or sudden traffic spikes, ensuring they remain reliable and secure. This has become critical since APIs serve as the backbone of today’s interconnected systems. My experiences include tackling challenges like handling service failures in distributed architectures and mitigating the cascading effects of outages in high-demand systems. In this article, I’ll share practical strategies for designing APIs that scale, handle errors effectively, and remain secure over time.

The Evolution of API Architecture

Over the years, API architecture has evolved to address the gaps in its previous designs and keep up with the ever-pressing demands. However, it often introduces new challenges in the process. Here’s a closer look at the major milestones in API architecture.

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