Microservices Fundamentals: When and Why Understanding the tradeoffs before you build

Microservices Fundamentals: When and Why

Microservices architecture has become the default recommendation for scaling applications, but it introduces complexity that monoliths simply don’t have. This lesson gives you the honest picture: when microservices genuinely solve problems, when they create more than they solve, and the critical decisions you need to get right before writing a single line of code.

Watch: Video Walkthrough

Operational Complexity by Architecture Monolith Complexity 30%Microservices (3 services) 55%Microservices (10+ services) 90%

Key Concepts

  • Monolith vs Microservices: Real tradeoffs in complexity, deployment, and team autonomy
  • Domain Boundaries: Using Domain-Driven Design to identify service boundaries
  • Communication Patterns: Synchronous (REST, gRPC) vs asynchronous (events, message queues)
  • Data Ownership: Each service owns its data — why this matters and how to enforce it

Hands-On Exercise

Task: Take an existing monolithic application (or a hypothetical e-commerce app) and identify 4-5 natural service boundaries using Domain-Driven Design bounded contexts. Document the data each service would own and how they would communicate.

Pro Tips

Start with a monolith. Seriously. Build your application as a well-structured monolith with clear module boundaries, then extract services only when you have a concrete reason — scaling, team independence, or deployment frequency. Premature decomposition is the number one cause of microservice project failure.