Containers vs Serverless

Overview

What is being compared

Containers package an application and its dependencies into a portable image that runs the same way in every environment. Serverless hides the infrastructure entirely: you deploy individual functions that events trigger. The choice affects cost, latency, operational burden and how finely you deploy.

• What you ship — A portable image with the app and its dependencies — Individual functions
• How it runs — Consistently across environments — Triggered by events
• Infrastructure — Yours to run — Abstracted away entirely
• Deployment granularity — Whole application — One function at a time
• Fits — Complex apps, stateful services, predictable traffic, custom runtimes or binaries — Event-driven workflows, low-traffic APIs, scheduled tasks, glue code

How each one runs

A container image runs on an orchestrator such as ECS or EKS as a long-running service; a serverless function runs when an event arrives and returns a result. The operational difference is who owns each job. In the grid, yellow is yours and green is the cloud provider's.

Which one to pick

Stateful, long-running services and custom binaries go to containers, and so does predictable, continuous traffic. For the rest, choose serverless when operational simplicity matters more than fine-grained control, and containers when it does not.

> [!TIP] Both models working side by side in one system, a function's cold-to-warm lifecycle next to a container's, and the questions that decide it, step by step in Visual Explanation below.

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