Microservices vs Distributed System
Last Updated :
07 May, 2024
Microservices and distributed systems are two important architectures in modern software development. Though both focus on scalability and resilience, they diverge in principles and execution. This article provides a concise overview, helping readers grasp the differences and choose the right approach.
Important Topics for Microservices vs Distributed System
What are Microservices?
Microservice is a small, loosely coupled distributed service. Each microservice is designed to perform a specific business function and can be developed, deployed, and scaled independently.
- It allows you to take a large application and decompose or break it into easily manageable small components with narrowly defined responsibilities.
- It is considered the building block of modern applications. Microservices can be written in a variety of programming languages, and frameworks, and each service acts as a mini-application on its own.
What are Distributed Systems?
Distributed systems are a type of computer architecture where components or nodes of the system are located on different networked computers, communicating and coordinating their actions through message passing.
- Unlike traditional centralized systems, distributed systems spread data processing and storage tasks across multiple machines, enabling them to work collaboratively to achieve common goals.
- These systems often exhibit characteristics such as decentralization, concurrency, fault tolerance, and scalability. Examples of distributed systems include cloud computing platforms, peer-to-peer networks, and distributed databases.
Microservices vs. Distributed system
Below are the differences between Microservices and Distributed systems:
Aspect |
Microservices |
Distributed Systems |
Scope. |
Architectural style for building applications, emphasizing small, independent services. |
General computing systems where components are spread across multiple networked computers. |
Granularity |
Fine-grained services addressing specific business functionalities. |
Components may vary in granularity, from fine-grained to coarse-grained. |
Communication |
Inter-service communication often via lightweight protocols like HTTP or messaging queues. |
Components communicate via message passing over a network. |
Independence |
Services are loosely coupled, allowing for independent development, deployment, and scaling. |
Components may have varying degrees of coupling, impacting independence and deployment. |
Scaling |
Supports fine-grained scalability, enabling individual services to scale independently based on demand. |
Scalability strategies may vary, depending on the architecture and components. |
Fault Tolerance |
Failures in one microservice typically don’t impact the entire system, thanks to isolation and resilience. |
Fault tolerance strategies may vary, with failures potentially affecting other components. |
Development Model |
Development may be complex due to managing multiple services, but offers flexibility and agility. |
Development complexity may vary, depending on the system’s architecture and requirements. |
Use Cases of Microservices and Distributed Systems
Below are the use cases of Mircroservices and Distributed Systems
Use Cases of Microservices:
- E-commerce Platforms: Each service can process a limited part of the operations, like stock management, user control, or order completion, respectively.
- Content Management Systems: Functions responsible for creation, storage, and delivery of content can be individually built and developed as and when necessary.
- Finance Applications: The work of the core steps, which can be done independently, can be implemented.
Use Cases of Distributed Systems:
- Big Data Processing: The two major paradigms in distributed computing are MapReduce and wide-area data networks. Apache Hadoop and Spark often play this role, relying on clusters of machines to compute vast data sets.
- IoT (Internet of Things): A distributed program ensures connectivity and coordination within different types of Internet of Things devices, sensors, and gateways.
- Blockchain Networks: Blockchain networks are distributed systems that, in their basic structure, allow for decentralized agreement about transactions and their verification.
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