Docker vs Kubernetes vs Serverless

Deployment: containers, orchestration, and whether serverless actually saves money.

When to Use This Comparison

Reference this when modernizing deployment infrastructure, scaling applications, evaluating container strategies, or deciding between operational complexity and serverless convenience. Critical when current deployment approach hits scaling or cost limits.

Decision Context

Your ideal deployment approach depends on application architecture, team operations expertise, scale requirements, cost sensitivity, and whether you're optimizing for control or convenience. Different application types benefit from different deployment models.

Key Tradeoffs

Docker provides containerization without orchestration—simple but manual at scale. Kubernetes offers powerful orchestration but significant operational complexity. Serverless eliminates infrastructure management but constrains architecture and can surprise on costs.

What we’re judging
Operational complexity
Setup, maintenance, and expertise required.
Scalability
How well it handles traffic growth and variation.
Cost model
Pricing structure and cost predictability.
Developer experience
Local development, debugging, and deployment ease.
Flexibility
Architectural constraints and customization options.
Verdict
Docker is the right starting point for most applications. Kubernetes justifies complexity at scale or for platform engineering teams. Serverless is ideal for specific workloads but not complete replacement for containers.