AWS Lambda runs code without servers, but optimization is critical. Cold starts (initial invocation) add 500-5000ms latency; memory affects CPU allocation and cost; concurrency limits throttle requests. Mastery means understanding cold start causes (language choice, package size, initialization), memory-CPU-cost trade-offs, concurrent execution limits, and cost optimization. Learning path: Lambda basics (2 weeks) → cold starts (2 weeks) → concurrency + cost (2 weeks) → production patterns (2 weeks).
AWS Lambda executes code without provisioning servers, but performance depends on configuration. Cold starts add latency (first invocation). Memory affects CPU allocation and cost. Concurrency limits throttle requests. Optimization means tuning memory, reducing package size, managing initialization, and using Provisioned Concurrency for critical paths. Lambda is ideal for bursty, short-lived workloads. For sustained, long-running APIs, containers are often cheaper.
| 地域 | ジュニア | ミドル | シニア |
|---|---|---|---|
| USA | $80k | $130k | $180k |
| UK | £48k | £80k | £120k |
| EU | €52k | €85k | €130k |
| CANADA | C$85k | C$135k | C$185k |
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