Microservices… when do we need them?

Microservices… when do we need them?

Microservices imply an architectural style that works as a collection of small independent technologies. This concept works as a fine Swiss army knife. A monolith is the knife’s handle, and microservices stand for the knife’s various tools. Uber, Netflix, and Amazon have already adopted this stack to enhance their business capabilities. Will you be next to take advantage of this service?

Microservices: pros and cons

+ Diversity. Each module can be developed in any programming language that best fits the requirement. With microservices, you can mix multiple languages, development frameworks, and data storage technologies.

 

+ Clarity. While working with microservices, you concentrate on one particular module at a time. The code base is very small, and it won’t be difficult for the engineer to fully understand the code.

+ Scalability. Modules can be deployed in multiple servers to enhance performance and separate them from other services. In this way, they don’t impact the other stack. That would be hard to archive with a monolithic architecture.

– Time consuming. One module interacts with another by REST API, so the development process is much slower than in monolith. 

– Difficulty testing. Microservices-based application has numerous independent services that have to be tested in potentially different environments. The higher number of modules, the more complex it becomes to integrate the microservices and ensure efficiency of the project. 

– Skill demands. As every functional aspect is an individual module, many different services operate at one single project. Therefore, a high level of expertise is required while working with microservices.

When do you use microservices?

The concept will come in handy when you deal with:

Big teams. Microservices simplify cross-team coordination as they use event-streaming technologies.

Big data. Microservices naturally fit within a data pipeline-oriented architecture, which aligns with the way big data should be gathered, adopted, processed, and delivered. Each step in a data pipeline handles one small task in the form of a microservice.

Real-time processing. A microservices architecture is based on a publish-subscribe framework, enabling data processing in real time to deliver immediate output and insights.

Deployment. Microservices enable code and data reuse of modular architecture, making it easier to deploy more data-driven use cases and solutions for added business value.

New technologies are coming into the forefront every year. All of them come to life with benefits and shortcomings. In order to utilize them effectively, we must focus on their attributes. The K&C team has successfully adopted the super powers of microservices for enterprise projects delivery.

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