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Monolith vs Microservices ⚙️🧵⤵️ 
A monolith is an application that is developed and deployed as a single unit.
Its components are tightly coupled within a single codebase, and they often share resources, such as databases or libraries.
Its components are tightly coupled within a single codebase, and they often share resources, such as databases or libraries.
Monolithic architectures have a long history and are still present in many legacy systems, but they also present several challenges.
For instance, monoliths must be scaled as a whole, even if only a single component requires additional resources.
For instance, monoliths must be scaled as a whole, even if only a single component requires additional resources.
They can also lead to longer development and deployment cycles, as the entire application must be rebuilt and redeployed for a change to take effect.
Many teams are addressing these challenges by adopting microservices or mesoservices, which are smaller, more independent, and more scalable.
A microservice is a small service that performs a single business function and communicates with other microservices through APIs.
Each microservice is managed independently of one another, which can speed up the development and deployment process and make it easier to scale and maintain the system.
Microservices are often designed to be stateless, which means they do not maintain any session state between requests.
Statelessness enables horizontal scalability, in which more instances of the same microservice can be added to handle increased load.
Statelessness enables horizontal scalability, in which more instances of the same microservice can be added to handle increased load.
Microservices can also be written in different programming languages and deployed on different platforms, which makes it easy to use the right tool for the job.
However, microservices also come with some challenges, such as increased complexity and reduced visibility.
For instance, a microservice architecture consists of many small services that communicate with one another, which means that a small change in one microservice can have significant consequences on the microservices it interacts with.
The distributed nature of a microservice architecture also makes it harder to test, monitor, and debug any issues that may arise.
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