What are the pros and cons of serverless architecture?

The pros are no infrastructure management, automatic scaling, pay-per-use pricing, and faster delivery for workloads that fit. The cons are vendor lock-in through proprietary services, cold-start latency that AWS has billed since August 2025, harder debugging across distributed functions, and difficulty guaranteeing a complete, immutable audit trail.

When should you not use serverless architecture?

Avoid it for core application logic that requires a complete, immutable audit trail, for steady and predictable traffic where reserved capacity is cheaper, and for latency-critical user-facing paths where cold starts are unacceptable. Portability requirements are another reason to be cautious, since proprietary managed services are the hardest part of any cloud exit.

Is serverless cheaper than running containers?

It depends entirely on traffic shape. Serverless is usually cheaper for spiky, low-duty-cycle workloads because you pay nothing while idle. Containers are usually cheaper at steady, high-volume load, where per-request pricing adds up faster than reserved capacity. Model your own invocation counts at projected scale rather than assuming either direction.

Is serverless architecture the same as microservices?

No. Serverless describes who manages the execution environment, and microservices describes how the application is decomposed into independently deployable pieces. You can run a monolith on serverless functions or microservices on your own servers, and most production systems mix both models.

Does serverless mean there are no servers?

No. Servers still run your code, but the cloud provider provisions, patches, and scales them instead of your team. The change is in who carries the operational burden, not in whether servers exist.

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