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AWS Lambda

Serverless compute that runs code without managing servers

⬢ LIVELLO 2Strumenti
+$20k-
Impatto sullo stipendio
6 mesi
Tempo di apprendimento
Medio
Difficoltà
3
Carriere
In sintesi

AWS Lambda is the most widely-deployed serverless compute platform: code runs in response to events (HTTP requests, S3 uploads, queue messages, schedules) without provisioning infrastructure. Career path: Practitioner (basic functions, $90-120k) → Architect (event-driven systems, SAM/CDK, $130-180k) → Expert (cold-start optimization, multi-region patterns, $180-250k) over 5-10 months. Pricing: $0.20 per 1M invocations + compute by GB-second. Lives next to API Gateway, DynamoDB, S3, SQS, Step Functions.

Cos'è AWS Lambda

AWS Lambda is the pioneering and most popular serverless compute platform, executing code in response to events (API calls, S3 uploads, DynamoDB changes, scheduled tasks) without server provisioning. It's the foundation of serverless architecture on AWS. Lambda enables rapid development with pay-per-execution pricing, automatic scaling, and zero infrastructure management. It's central to modern event-driven architectures and is used for APIs, data processing, automation, and backend logic.

🔧 STRUMENTI ED ECOSISTEMA
AWS SAMAWS CDKServerless FrameworkAPI GatewayDynamoDBS3Step FunctionsEventBridgeSQSSNSCloudWatchX-Ray

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$105k$145k$195k
UK£60k£85k£120k
EU€65k€90k€130k
CANADAC$110kC$150kC$200k

🎯 Carriere che usano AWS Lambda

Backend Developer
Cloud Architect
Technical Architect

❓ Domande frequenti

Lambda vs containers (ECS/Fargate), when do I pick which?
Lambda: bursty/event-driven, < 15-min execution, < 10GB memory, idempotent. Pay only for invocations. Fargate/ECS: long-running, custom runtimes, sustained throughput, > 15-min jobs, persistent connections. Cost crossover: roughly 1M invocations/day or 24/7 traffic = containers win. Most modern apps use both: Lambda for triggers/glue, containers for core services.
How do I handle the cold-start problem?
Provisioned Concurrency (keeps N instances warm, costs ~$5/instance/month) for latency-sensitive endpoints. Lambda SnapStart (Java/Python/.NET) reduces cold starts 10x at no extra cost. Keep deployment package small (< 50MB unzipped). Prefer ARM Graviton2 (faster cold starts, 20% cheaper). For < 100ms p99 SLA: use Provisioned Concurrency on critical paths only.
Lambda vs Cloudflare Workers vs Vercel Functions, what's the difference?
Lambda: deepest AWS integration, most languages, 15-min timeout, regional. Cloudflare Workers: edge (300+ POPs), V8 isolates, sub-ms cold start, but limited (no native Node), 30-sec CPU. Vercel Functions: developer-friendly Next.js integration, runs on Lambda or Edge. For AWS-heavy stacks: Lambda. For ultra-low-latency global APIs: Workers. For Next.js apps: Vercel Functions.
How do I deploy Lambda properly, console, SAM, CDK, or Serverless Framework?
Never console for production. SAM is AWS-native, lightweight, YAML-based, good for simple Lambda+API Gateway+DynamoDB setups. CDK is full IaC with TypeScript/Python, scales to large apps with reusable constructs, preferred for complex orgs. Serverless Framework is multi-cloud and has the best plugin ecosystem but adds a layer of abstraction. CDK is the 2026 default for new AWS projects.
How does Lambda pricing actually work?
Two parts: (1) requests: $0.20 per 1M invocations, (2) compute: $0.0000166667 per GB-second. A 512MB function running 100ms costs ~$0.000001 per invocation. For 1M invocations × 100ms × 512MB = ~$1 + $0.20 = $1.20/month. Free tier: 1M req + 400k GB-sec/month forever. For most startups, Lambda costs are negligible until you hit > 100M invocations/month.
What languages should I use with Lambda in 2026?
Python (best ecosystem, easiest to learn) and Node.js/TypeScript (largest community, fastest cold start) are tier 1. Go for performance + small binaries. Rust for max performance + min cold start (via custom runtime or Lambda Web Adapter). Java is supported but cold starts are painful, use SnapStart. Python and TypeScript cover 90% of jobs.
How do I monitor and debug Lambda in production?
CloudWatch Logs for output (default). CloudWatch Metrics for invocation count, duration, errors. AWS X-Ray for distributed tracing across services. Lambda Powertools (per language) for structured logging + tracing + metrics. Datadog/New Relic for cross-account observability if you have multi-region/multi-account. Set CloudWatch alarms on error rate, throttles, and duration p99 from day one.

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