礤砂线改造预计6月通车 沟通平海巽寮双向四车道

- [Instructor] Here we have Firecracker, which is a virtual machine that is specialized for running multi-tenant container and function-based services, and also optimizing performance and security. And this is actually built in Rust. And Rust is an excellent choice for this kind of a problem because of its safety and performance characteristics. The architecture is MicroVMs here, and this means that they're lightweight, they're faster nature, and it makes Firecracker suitable for serverless. So this is really the engine that powers AWS Lambda, and there's minimal overhead because only the essentials are included. And as well in terms of security, Rust safety features help minimize the risk and also reduce the surface area that is attackable. Some other things to include here about Firecracker are that it can launch thousands of micro-VMs at a fraction of a second, enabling the rapid scaling of applications. There's low memory head as well, and it has integration with container runtimes, and this is why it works well with things like AWS Fargate and Kubernetes, and other types of containers. So this is really the engine that's being powered underneath the hood of Lambda and Fargate, and it's also an open source project. So a few different takeaways here are that, really, in terms of a showcase for the power of Rust, it's hard to find a more successful open source project. And it kind of goes to show you, if you want to do computation at scale that's extremely lightweight, something like Rust is really your best bet, and that's why in the domain of data engineering and ML ops and cloud computing, really Rust, in a sense, is a secret weapon because of how efficient it is at building secure, yet performant code.