Architecture
Monolithic architecture is a software design pattern in which all components of an application — user interface, business logic, and data access — are built and deployed as a single, unified unit.
In a monolith, all modules share the same process, memory space, and deployment pipeline, which makes local development and initial debugging straightforward since everything runs in one place. The simplicity advantage holds for smaller teams and early-stage products where the overhead of distributed systems would slow development without providing meaningful benefits. As the codebase grows, monoliths can become difficult to scale selectively — if the reporting module is CPU-intensive, the entire application must be scaled even if other parts have low load. Many mature engineering organisations adopt a strategy of starting with a well-structured monolith and extracting microservices only when specific scaling or team autonomy pressures make the trade-off worthwhile.
Example
A startup launches its MVP as a single Django application handling authentication, product listings, and checkout, deferring service decomposition until traffic warrants it.
Related terms
Microservices
Microservices is an architectural style in which a large application is built as a collection of small, independently deployable services, each responsible for a specific business capability and communicating via APIs.
MVC (Model-View-Controller)
MVC is a software design pattern that separates an application into three interconnected components: the Model (data and business logic), the View (user interface presentation), and the Controller (input handling and coordination between Model and View).
Scalability
Scalability is the ability of a software system to handle increasing workloads — more users, data, transactions, or requests — by adding resources without requiring fundamental redesign of the architecture.
DevOps
DevOps is a set of practices, cultural principles, and tooling that unifies software development (Dev) and IT operations (Ops) to shorten delivery cycles, improve deployment frequency, and increase system reliability.
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