Serverless (FaaS): When It Fits & When It Fails
Evaluate Function-as-a-Service: Cold starts, execution time limits, statelessness, auto-scaling to zero, and total cost of ownership (TCO).
01.1. What is Function-as-a-Service (FaaS)?
Function-as-a-Service (FaaS), pioneered by AWS Lambda, Google Cloud Functions, and Azure Functions, represents the pinnacle of serverless cloud abstraction:
Core Characteristics of Serverless FaaS:
- No Server Management: Zero operating system patching, zero AMI configuration, and zero Kubernetes node provisioning.
- Event-Driven Execution: Functions execute strictly in response to cloud events (HTTP requests via API Gateway, file uploads to S3, messages on SQS/Kafka, DynamoDB stream updates).
- Scale to Zero (Zero Idle Cost): When zero requests arrive, zero compute instances run, incurring $
0.00in hosting costs. - Sub-Second Granular Billing: Compute is billed in precise
1-millisecondincrements based on allocated memory (128MB - 10GB) and execution duration. - Instant Autoscaling: Automatically scales from 1 to thousands of concurrent execution environments within seconds to absorb traffic surges.
Serverless Architecture, Cost Inflection, and Database Connection Bottlenecks 📈
Serverless Architecture, Cost Inflection, and Database Connection Bottlenecks 📈
Serverless scales automatically from zero for spiky workloads, but requires RDS Proxy connection pooling and careful TCO evaluation under sustained 24/7 load.
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