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Serverless Backend Patterns Cheat Sheet

Serverless Backend Patterns Cheat Sheet

Back to Backend Development
Updated 2026-03-18
Next Topic: Spring Boot Cheat Sheet

Serverless backend patterns enable event-driven, scalable application architectures where cloud providers manage infrastructure, allowing developers to focus on business logic while paying only for actual compute time. These patterns—built primarily on AWS Lambda, Azure Functions, and Google Cloud Functions—provide automatic scaling, high availability, and reduced operational overhead for modern cloud-native applications. The key to successful serverless backends lies in understanding function invocation models, optimizing cold start performance, designing stateless workflows, managing dependencies and secrets, and implementing robust error handling with idempotent operations. While provisioned concurrency and proper architecture patterns solve most performance concerns, the real power emerges when combining messaging services (SNS, SQS, EventBridge), API gateways, and orchestration tools (Step Functions) to build resilient distributed systems.

What This Cheat Sheet Covers

This topic spans 25 focused tables and 209 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Function Invocation PatternsTable 2: AWS Lambda Trigger SourcesTable 3: Azure Functions Trigger TypesTable 4: Google Cloud Functions Event SourcesTable 5: Cold Start Optimization TechniquesTable 6: Stateless Function Design PatternsTable 7: Dependency and Layer ManagementTable 8: Secrets and Configuration ManagementTable 9: Database Connection PatternsTable 10: Retry and Error Handling PatternsTable 11: Concurrency and Scaling PatternsTable 12: API Gateway Integration PatternsTable 13: Observability and Monitoring PatternsTable 14: Step Functions Workflow PatternsTable 15: Messaging and Event Routing PatternsTable 16: VPC and Network Integration PatternsTable 17: Cost Optimization StrategiesTable 18: Deployment and CI/CD PatternsTable 19: Authentication and Authorization PatternsTable 20: Advanced Lambda FeaturesTable 21: Edge Computing PatternsTable 22: Stream Processing PatternsTable 23: Caching StrategiesTable 24: Fan-out and Parallel ProcessingTable 25: Testing and Local Development

Table 1: Function Invocation Patterns

PatternExampleDescription
Synchronous invocation
API Gateway → Lambda
Client waits for response
• Caller waits for function completion
• used for HTTP APIs, returns response directly
• errors propagate to caller immediately
Asynchronous invocation
S3 event → Lambda (queued)
Automatic retry 2x
• Function is queued for execution
• caller receives immediate acknowledgment
• supports automatic retries (up to 2 attempts) and destinations for success/failure
Event source mapping (poll-based)
Lambda polls SQS queue
Batch size: 10 messages
• Lambda polls stream/queue (SQS, Kinesis, DynamoDB Streams) and invokes function with batches
• enables partial batch failure handling
Direct invocation
AWS SDK: lambda.invoke()
Synchronous or async
• Programmatic function trigger via SDK/CLI
• caller specifies InvocationType (RequestResponse, Event, DryRun)
• useful for testing and orchestration
Function URLs
https://xyz.lambda-url.us-east-1.on.aws/
Public HTTPS endpoint
• Dedicated HTTP(S) endpoint for Lambda without API Gateway
• supports response streaming, CORS, IAM or no authentication
• ideal for simple APIs

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