A monolith deploys as one unit, a modular monolith enforces internal boundaries within that unit, and microservices deploy bounded capabilities independently. Team and operational needs should drive the choice.
A monolith deploys as one unit, a modular monolith enforces internal boundaries within that unit, and microservices deploy bounded capabilities independently. Team and operational needs should drive the choice.
| Question | Practical answer |
|---|---|
| When is it useful? | In a small real-world scenario, draw the parts involved, follow one request or decision from start to finish, and mark the evidence produced at each step. |
| What should you do? | Map a small shop into catalog, order, and payment boundaries; compare change cost, data consistency, deployment, and on-call burden for all three styles. |
| How do you know it worked? | The result can be repeated from your notes, and each important claim is supported by an output, measurement, query result, or reviewable artifact. |
| Common failure | A common mistake is choosing a tool or pattern before stating the problem, constraints, and success measure. |
flowchart LR
A[Question] --> B[Monolith, modular monolith, and microservi]
B --> C[Small example]
C --> D[Evidence]
The important idea is not to stop at a definition: connect the concept to a small example and observable evidence.
In a small real-world scenario, draw the parts involved, follow one request or decision from start to finish, and mark the evidence produced at each step.
Before acting, write the success signal. Change one condition at a time, observe the result, and record assumptions. For Monolith, modular monolith, and microservices, this separates what you know from what you are merely guessing.
Goal: Map a small shop into catalog, order, and payment boundaries; compare change cost, data consistency, deployment, and on-call burden for all three styles.
Expected result: The result can be repeated from your notes, and each important claim is supported by an output, measurement, query result, or reviewable artifact.
A common mistake is choosing a tool or pattern before stating the problem, constraints, and success measure.
When the result differs from your prediction, do not change many things at once. Check inputs, versions, environment, permissions, and logs, then repeat from the smallest example.
Use the linked resource or repository at the end of the page when you need a full implementation. Check current versions before applying commands to a real project.
Learn system design as a sequence of decisions, using a small learning platform as the running example.
Functional requirements describe behavior users need; non-functional requirements define qualities and constraints such as latency, accessibility, security, capacity, and recovery.
High-level design explains system boundaries, data flow, dependencies, and major tradeoffs; low-level design specifies components, interfaces, data models, algorithms, and failure handling.