MicroServices Architecture — Things to know.

MicroServices Architecture image

Microservices Architecture is well suit to build a large-scale application. It is a Service Oriented Architecture and provides fast software solutions. In the IT field, this is one of the trending topics as it could provide a service, capable of modularity, scalability, and availability.

An approach to develop a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms” — Martin Fowlerv

Microservices architecture falls under Software-as-a-Service (SaaS)

Each service is independent so it can be implemented as a single business Structure. The architecture is designed to overcome the challenges, failure, and breakdown of large applications. The microservice is capable of a quick recovery and the components can handle the services in a very effective manner, Each Service has its own database so it can update and modify its faults very quickly. The microservice architecture couldn’t affect due to deployment of other services.

By using microservice techniques, it’s easy to adapt the Dev Ops approach and eliminate slow deployments. So, it could reduce the reach time in the market. It enables the development of enhanced application platform and user platform such as web, mobile, IoT, android and so on.

Examples of microservices implemented in companies:

1. Netflix

Netflix is the most popular digital entertainer. This service is used by all over the world. It has 130 million paid memberships all over 190 countries. People are enjoying Television series, documentaries and feature films. It is one of the best examples of using microservices. Initially, the company was not able to build and provide data centres scalability. By implementing the microservice they are able to provide scalable data and are able to handle billions of calls per day through API from over 800 different countries. Today, Netflix is using 500+ micro-services and 30+ engineering team.

2. Uber

Uber is one of the transportation services applications. Initially, they created this application for transportation from one city to another. After their services expanded, they found a lot of difficulties & different requests from different clients. So that the developers had to find solutions to divide the service and apply the microservices. They introduced

  • API gateway through which all passengers and drivers are connected
  • Deployed separate units for performing separate functionalities
  • All features can be scaled individually

3. Amazon

Amazon is one of the biggest e-commerce stores which is developed for on-demand service. Traditionally they follow the monolithic application. On this application, they combine different shopping options and to create a master one. They faced a lot of conflicts. Engineers analyzed and found the solution as a microservice application. In this manner, there are different microservices such as orders, login, wish-lists, and payment gateway. Each and every component performs a single task. Every service manages its data and data model.

4. Magazine company

In the Magazine company, a lot of single services such as author, editor, legal team, photographers, readers exist. These single services are deployed in the micro service architecture. So, the customers could review their magazine details on the magazine company web portal and by also providing a service in Mobile platforms.

  • Author- who writes the content for the magazine
  • Editors- who edit and approves the content written by the author
  • Legal Team- an individual or a group of individuals, who approves everything
  • Photographers- who clicks and publishes the pictures
  • Readers / Consumers- a user who uses the application for reading the magazine.

Conclusion

The software industry traditionally follows the monolithic architecture. Nowadays large-scale companies are adapting microservice architectures as they provide faster, cheaper and acceptable solutions. Monolithic architectures are suitable for small scale industry and microservice architectures are suitable for large scale industry hence, the developers must make a choice based on the platform they intend to work and the results they expect.

Expertise

Cloud Computing
Analytics And Visualization
Internet of Things
AI & Machine Learning
Digital Transformation
Blockchain

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