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AWS Step Functions

⬢ LIVELLO 2Tecniche
Medio
Impatto sullo stipendio
3 mesi
Tempo di apprendimento
Medio
Difficoltà
1
Carriere
In sintesi

AWS Step Functions is a serverless workflow orchestrator. Define your workflow as a state machine (JSON): task → conditional logic → parallel execution → error handling → retry. Invoke Lambda functions, call APIs, wait for approval, execute in sequence. Why it matters: Step Functions handles the orchestration plumbing (retries, exponential backoff, error handling, state persistence, timeouts) so you focus on business logic. Use cases: data pipeline (extract → transform → load), approval workflow, multi-service transaction, scheduled job orchestration. Learning path: 1 week basics (state machines, tasks, flow control), 1 week intermediate (error handling, retries, parallelization), 1 month production (monitoring, cost optimization, integration patterns).

Cos'è AWS Step Functions

AWS Step Functions is the serverless workflow orchestration service. Instead of writing orchestration code (retry logic, error handling, state persistence), you define your workflow as a state machine in JSON. Each state performs a task (call Lambda, invoke API, wait for human approval, branch logic). Step Functions handles the rest: retries, timeouts, error handling, and state persistence across multiple executions. Use cases: ETL pipelines (extract → transform → load), approval workflows, multi-service transactions, scheduled job orchestration, image processing pipelines.

🔧 STRUMENTI ED ECOSISTEMA
AWS Step FunctionsAWS LambdaAWS SNSAWS SQSboto3EventBridgeCloudWatchAWS CloudFormation

📋 Prima di iniziare

Aws LambdaCloud Platforms

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$80k$125k$175k
UK£48k£75k£115k
EU€52k€80k€120k
CANADAC$85kC$120kC$165k

🎯 Carriere che usano AWS Step Functions

Cloud Architect

❓ Domande frequenti

Step Functions vs Apache Airflow, which is simpler?
Step Functions: serverless, AWS-native, JSON-based state machines, minimal ops. Airflow: open-source, self-hosted (requires Kubernetes/EC2), Python-based DAGs, more flexible. For AWS-first teams: Step Functions. For multi-cloud: Airflow. Most AWS teams choose Step Functions for simplicity.
How does error handling and retry work in Step Functions?
Define Catch blocks (catch failures, fallback to different task) and Retry policies (exponential backoff, max retries, jitter). Example: invoke Lambda with Retry (max 3 attempts, 2s initial backoff, 2x multiplier) and Catch (on timeout, invoke different Lambda). Transparent to Lambda code.
Can Step Functions wait for manual approval?
Yes. Use Task token and SNS: send approval request via SNS, wait for callback, resume workflow on approval. Manual approvals built-in, no external service needed.
What's the cost of running Step Functions?
Pricing: $0.000025 per state transition (first 4k free per month). A workflow with 100 tasks = 100 transitions = $0.0025 per execution. Running 1 million executions/month = $25. Express workflows (higher throughput) are more expensive: $0.04 per GB-second.
Can I parallelize tasks in Step Functions?
Yes. Parallel state: execute multiple tasks concurrently, wait for all to complete. Example: download 100 objects in parallel, then merge results. No explicit coordination code needed.
How do I debug a failed workflow execution?
CloudWatch Logs for each Lambda task execution (stdout/stderr). Step Functions console shows execution history (state transitions, inputs/outputs, errors). Visual workflow diagram shows where execution failed.
Should I use Standard or Express Step Functions?
Standard: lower cost, higher latency (up to 1 year), exactly-once semantics. Express: lower latency (real-time), higher cost, at-least-once. For batch jobs: Standard. For API synchronous workflows: Express.

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