Monolith
A single, unified application where all features share the same codebase and deployment. Simpler to start with but harder to scale individual parts.
What is Monolith?
A single, unified application where all features share the same codebase and deployment. Simpler to start with but harder to scale individual parts.
Monolith is a intermediate-level concept that sits in the Microservices Architecture area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Monolith" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
Learn Monolith in depth
Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
Open the Monolith lessonRelated lessons
Lessons that touch on Monolith as part of a larger topic.
Monolithic Architecture
The single-unit application architecture that every system starts with, and why it works until it doesn't
intermediate · microservices architecture
Strangler Fig Pattern
Migrate from monolith to microservices incrementally, replacing pieces one at a time while the old system stays alive
intermediate · microservices architecture
Database Federation
Splitting your monolithic database into multiple specialized databases by domain, reducing load and enabling independent scaling
intermediate · database types storage
Service-Oriented Architecture (SOA)
The predecessor to microservices, how enterprise systems first broke apart monoliths using shared services and an ESB
intermediate · microservices architecture
See also
Related glossary terms you might want to look up next.
Microservices
An architecture where an application is split into small, independent services that communicate over the network. Each service owns its own data and can be deployed separately.
Vertical Scaling
Making a single machine more powerful (more CPU, RAM, storage). Simpler but has physical limits. Also called 'scaling up.'