Kubernetes vs Serverless: Choosing the Right Architecture

High — requires DevOps expertise for cluster management, networking, security patches, and scaling configuration. Managed services (EKS, AKS) reduce but don't eliminate this.

Low — no servers to manage. The cloud provider handles all infrastructure. Teams focus purely on application code and business logic.

Predictable monthly costs based on node count and size. Efficient for consistent, high-traffic workloads. Can be expensive for low-traffic applications.

Pay-per-execution pricing. Extremely cost-effective for variable and low-traffic workloads. Can become expensive at very high, consistent scale.

Horizontal and vertical scaling with full control. Auto-scaling based on custom metrics. Scaling takes seconds to minutes depending on configuration.

Automatic, instant scaling from zero to thousands of concurrent executions. No capacity planning required. Cold starts can add latency for infrequent functions.

Portable across clouds. Kubernetes runs on AWS, Azure, GCP, and on-premise. Your containerized applications move with minimal changes.

Significant vendor lock-in. Lambda functions differ from Azure Functions and Cloud Functions. Migration requires application rewrites.

Complex multi-service architectures, consistent high traffic, long-running processes, and workloads requiring custom networking or GPU access.

Event-driven processing, API backends with variable traffic, scheduled tasks, and rapid prototyping where time-to-market is critical.