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cold-start

References cold start optimization history and techniques. Covers Docker image optimization, Fargate CPU tuning, SOCI lazy loading, and Lambda Bedrock discovery fix. Use when optimizing startup performance.

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serithemage/serverless-openclaw星标 196(GitHub 196 + cccskills 0)
集成工具AWSDocker

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包含的文件(1)

  • SKILL.md4.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Cold Start Optimization Reference

Full analysis: docs/cold-start-optimization.md

Results Summary

TargetBeforeAfterSavings
Docker image size2.22 GB1.27 GB43% reduction
Fargate cold start~120s (0.25 vCPU)~40-57s (1 vCPU)~80s
Lambda cold start56s1.35s~54s

Measurement Commands

make cold-start        # Full measurement (stops tasks + cleans TaskState first)
make cold-start-warm   # Warm start measurement (skip idle wait)
make task-status       # Verify task state before measuring
make task-stop         # Stop all tasks
make task-stop-recent  # Stop only most recent task

Important: Always use make cold-start — never run the measurement script directly without stopping existing tasks first.

Docker Image Optimizations (Fargate)

OptimizationSavingsTechnique
Remove AWS CLI-358 MBReplaced aws s3 sync with @aws-sdk/client-s3 Node.js code (s3-sync.ts)
chown layer optimization-134 MBCOPY --chown=openclaw:openclaw instead of separate RUN chown
Pre-generated openclaw config—Handled in Dockerfile (skip runtime onboard)
start-openclaw.sh simplification—Removed S3 restore/onboard/sleep 2
zstd compression (P6)-16% (258→217 MB)--compression zstd in docker buildx

SOCI Lazy Loading

./scripts/deploy-image.sh --soci   # Linux only, ~50% additional pull-time reduction

SOCI CI: .github/workflows/deploy-image.yml

Fargate CPU Tuning (P7)

CPUMemoryCold Start
0.25 vCPU512 MBOOM Kill
0.25 vCPU2048 MB~120s
0.5 vCPU2048 MB~80s
1 vCPU2048 MB~40-57s (default)
2 vCPU4096 MBConfigurable via env

Configure via env vars: FARGATE_CPU, FARGATE_MEMORY

Container Startup Parallelization

  • S3 restore + History load run via Promise.all (~3-5s saved)
  • IP discovery runs non-blocking (Bridge starts serving while discovery continues)
  • Stale IP fix: Bridge HTTP timeout 10s→3s, fallback to PendingMessages on failure

Lambda Cold Start (Phase 2 — The Biggest Win)

Root cause: Bedrock auto-discovery scanned all AWS regions on startup → 56s delay

Fix: bedrockDiscovery.enabled: false in OpenClaw config → 1.35s cold start

{
  "bedrockDiscovery": { "enabled": false }
}

Lambda Optimization Techniques

  • runEmbeddedPiAgent() — bypasses Gateway WS server (no :18789 socket bind)
  • extensionAPI.js via file:// URL (not in exports map)
  • HOME=/tmp (Lambda read-only filesystem)
  • Sessions in /tmp (ephemeral, acceptable for Lambda)
  • No S3 session restore (Lambda starts fresh each cold start)

OpenClaw Version Impact on Cold Start

VersionCold StartStatus
v2026.2.965.3sWorking
v2026.2.1357.9sWorking — pinned
v2026.2.14N/ABROKEN (scope system)

Pin location: packages/container/Dockerfile

ARG OPENCLAW_VERSION=2026.2.13

Configurable via build-arg or env var.

Watchdog Dynamic Timeout

  • Active hours: 30-min idle timeout
  • Inactive hours: 10-min idle timeout
  • Based on CloudWatch activity metrics
  • Watchdog skips pre-warmed tasks where now < prewarmUntil

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serithemage/serverless-openclaw1962026年3月29日 更新

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serithemage/serverless-openclaw1962026年3月29日 更新

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