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AWS Lambda Performance

⬢ LIVELLO 2Tecniche
Alto
Impatto sullo stipendio
8 mesi
Tempo di apprendimento
Medio
Difficoltà
—
Carriere
In sintesi

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).

Cos'è AWS Lambda Performance

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.

🔧 STRUMENTI ED ECOSISTEMA
AWS Lambda ConsoleAWS SAMAWS Serverless FrameworkCloudWatch LogsX-Ray TracingLambda LayersEnvironment VariablesProvisioned ConcurrencyAWS SDK

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$80k$130k$180k
UK£48k£80k£120k
EU€52k€85k€130k
CANADAC$85kC$135kC$185k

❓ Domande frequenti

What causes Lambda cold starts?
Container initialization (100-500ms) + code loading (50-200ms) + custom initialization (variable). Choice matters: Python 200ms, Node 300ms, Java 1000ms, Go 50ms.
How do I reduce cold starts?
Use Go or Node. Minimize package size (tree-shake, zip efficiently). Use Lambda Layers for shared code. Keep initialization code outside handler. Use Provisioned Concurrency for critical paths.
Is memory allocation important?
Yes, Lambda CPU scales with memory. 128MB = 1/5 CPU. 1792MB = 1 full CPU. Same code at 512MB runs 2x slower than 1792MB. Higher memory = faster, but test to find optimal.
What's the concurrency limit?
Default: 1000 concurrent executions across all functions. Exceeding = throttling. Use Provisioned Concurrency to guarantee capacity.
How much does Lambda cost?
Pay per invocation ($0.0000002 per request) + GB-seconds (compute). 1M requests at 512MB/1sec = ~$20/mo. Cheaper than EC2 for low-traffic apps.
Should I use Lambda for everything?
No, Lambda for short-lived (<15 min), bursty workloads. Long-running, sustained traffic = ECS/Fargate cheaper. APIs with consistent load = container better ROI.
Is Lambda suitable for production?
Yes, millions of functions run production Lambda. Caveats: cold starts matter for user-facing APIs, 15-minute timeout limit, package size limits (250MB uncompressed).

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