One of the big strengths of AWS is to deliver profound technical solutions to the real-world problems at the cloud scale.
In this talk, I’d like to dive deeper into some of such technical solutions where AWS really shines:

1) On-demand Container Loading in AWS Lambda which involves the storage and caching system AWS built, op-
timized for delivering container images on-demand, and their experiences designing, building, and operating it at scale with focus on challenges around security, efficiency, latency, and cost
2) Resource Management in Amazon Serverless v2. The most challenging goal in the resource management to offer a consistent resource elasticity experience while operating hosts at high degrees of utilization. Aurora Serverless implements several novel ideas for striking a balance between scalability, predictable performance and simplicity
3) AWS SnapStart -the technology to improve startup performance for latency-sensitive applications. cy-sensitive applications by up to 10x at no extra cost, typically with no changes to your function code. The largest contributor to startup latency (often referred to as cold start time) is the time that Lambda spends initializing the function, which includes loading the function's code, starting the runtime, and initializing the function code. We’ll see how SnapStart is implemented under the hood the taking the full snapshot of the Firecracker microVM, persisting it in a tiered cache for low latency access and the restoring it.

One of the big strengths of AWS is to deliver profound technical solutions to the real-world problems at the cloud scale.
In this talk, I’d like to dive deeper into some of such technical solutions where AWS really shines: On-demand Container Loading in AWS Lambda, Resource Management in Amazon Serverless v2 and AWS SnapStart.