Resiliency

Serverless and event-driven workloads on AWS are well known for their inherent high availability and scalability, offering a robust platform right out of the box. However, in the world of cloud, it's a well known that everything fails all the time. This reality becomes even more complex when serverless systems interact with non-serverless components, which may not possess the same agility in scaling.

Serverless and event-driven workloads on AWS are well known for their inherent high availability and scalability, offering a robust platform right out of the box. However, in the world of cloud, it's a well known that everything fails all the time. This reality becomes even more complex when serverless systems interact with non-serverless components, which may not possess the same agility in scaling.

Serverless and event-driven workloads on AWS are well known for their inherent high availability and scalability, offering a robust platform right out of the box. In the world of cloud, it's well known that everything fails all the time. This reality becomes even more complex when serverless systems interact with non-serverless components. In this post, I'll dig into architecture concepts that can help you handle failures effectively.