AI导哈

部署与运维

aws-lambda-microvms

aws/agent-toolk…-for-aws

Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbox compute, or secure multi-tenant execution. Also suited for AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs, dev environments running user-supplied code), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, or isolated security scanners. Also applicable when the workload needs long-lived sessions, a real port-listening server (gRPC, WebSocket, custom TCP protocols), state preserved across periods of inactivity (suspend/resume), container-level access (FUSE, eBPF, custom syscalls), or session-affine routing.

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安装命令

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill aws-lambda-microvms

SKILL.md

AWS Lambda MicroVMs

The AWS MCP server is recommended for sandboxed execution and audit logging.

AWS Lambda MicroVMs are serverless compute environments that combine Firecracker VM isolation with container-like efficiency. Each MicroVM:

  • Runs your application as a container inside a Firecracker microVM — you can reproduce the environment locally.
  • Runs Amazon Linux 2023 as the base OS inside the MicroVM.
  • Boots from a memory + disk snapshot captured at image build time, so application init is skipped on run.
  • Has a dedicated, TLS-terminated HTTPS endpoint reachable with an auth token.
  • Can be suspended and resumed with state preserved; lives up to 8 hours.

Two-resource model:

  • MicrovmImage — a versioned artifact built from {S3 zip with Dockerfile} + baseImageArn. Each version has per-architecture/chipset Builds.
  • Microvm — a running instance created (RunMicrovm) from an image version.

Two roles:

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