Building an AWS Lambda-Like Runtime with Firecracker MicroVMs
The article discusses the development of a lightweight serverless runtime using Firecracker microVMs. It highlights the challenges faced, particularly with cold start latency and the complexities of snapshot management. The author shares insights into the architecture and solutions implemented to improve performance and reliability.
- ▪Firecracker microVMs provide a fast and isolated environment for serverless workloads.
- ▪The cold start latency was reduced significantly by using memory snapshots instead of booting fresh VMs.
- ▪The author encountered various challenges, including process management and inter-process communication issues.
Opening excerpt (first ~120 words) tap to expand
Building an AWS Lambda-like Runtime with Firecracker MicroVMsVivek Jadhav5 min read·3 days ago--ListenShareI’ve always found serverless platforms a little magical. You deploy a function, send a request, and somewhere in the world, resources are allocated automatically and your code gets executed. But the more I used these platforms, the more I wanted to understand what was actually happening underneath.So I built a lightweight serverless runtime from scratch using Firecracker microVMs.This is an honest account of what I learned — including the parts where I had no idea what I was doing.The full project is on GitHub: https://github.com/vivek1504/serverless-runtimeWhy Firecracker?Traditional containers boot fast but offer weak isolation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Medium.
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