Download Your Kubernetes Decision Framework Guide

A five-person startup runs a monolithic application on three VMs. Everything works. Deployments are simple. Then someone decides they need Kubernetes because “it’s industry standard.” Six months later, they run the same application on Kubernetes, but now 40% of engineering time goes to infrastructure instead of product. Kubernetes solves specific problems: multi-service orchestration, complex networking, multi-team isolation, sophisticated scaling. If you don’t have those problems, you’re paying the Kubernetes tax without benefits. The goal is running workloads reliably, not using any particular technology.

This complete guide teaches you when to use Kubernetes and when simpler alternatives win.

Read this e-book to understand:

• The Kubernetes complexity tax: what you sign up for beyond orchestration (networking, storage, operations, upgrades)
• Hidden costs: human time for operations, debugging, learning, and the opportunity cost of infrastructure work
• Cost comparison: Kubernetes vs. VMs vs. serverless across compute, operations hours, and learning curve
• Decision framework: assessing whether Kubernetes fits your team size, service count, and complexity
• Alternative architectures: monoliths, VMs, serverless, and PaaS for different workload patterns
• Migration risks: when migrating to Kubernetes creates complexity without capability gains
• Building the business case: evaluating when infrastructure complexity is justified by business needs

Download Your Kubernetes Decision Framework Guide now to choose infrastructure that fits your problems, not fashion.