Serverless computing lets you run code without provisioning servers. You pay only for compute time used, and scaling is automatic. Here's how to leverage serverless effectively.
What is Serverless?#
Traditional:
You manage → Servers, OS, Runtime, Application, Scaling
Serverless:
You manage → Application code only
Provider manages → Everything else
Benefits:
- No server management
- Auto-scaling (including to zero)
- Pay per execution
- Built-in high availability
AWS Lambda Basics#
Hello World#
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Serverless Framework Configuration#
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Environment and Secrets#
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Event-Driven Architecture#
API Gateway + Lambda#
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SQS Processing#
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S3 Event Processing#
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Step Functions#
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Database Patterns#
DynamoDB#
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Connection Management#
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Cold Starts#
Understanding Cold Starts#
Cold start: First invocation after idle period
- Initialize runtime
- Load code
- Initialize dependencies
- Run handler
Warm invocation: Subsequent requests
- Reuse everything
- Run handler only
Cold start factors:
- Runtime (Node.js < Python < Java)
- Package size
- VPC configuration
- Memory allocation
Mitigation Strategies#
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Cost Optimization#
Right-Sizing Memory#
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Avoiding Over-Execution#
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When to Use Serverless#
Good fit:
✓ Variable/unpredictable traffic
✓ Event-driven workloads
✓ Microservices
✓ APIs with moderate traffic
✓ Scheduled tasks
✓ Quick prototypes
Poor fit:
✗ Constant high traffic (cost)
✗ Long-running processes (>15 min)
✗ Stateful applications
✗ WebSocket connections
✗ Heavy compute workloads
Conclusion#
Serverless simplifies operations and scales automatically, but requires thinking differently about architecture. Design for events, handle cold starts, and monitor costs.
Start with simple functions, then compose them into larger applications using Step Functions and event-driven patterns.