Best Practices in Coding Microservices

Best Practices in Coding Microservices

Microservices are a structural strategy for designing and building cloud applications. Every individual application is developed as a collection of services. Every individual service operates and carries out its operations and communicates over Application Programming Interfaces (APIs). The microservices are produced around business requirements and capacities, that are autonomously deployable with an automated deployment process. Furthermore, microservices can be developed using different programming languages.

In this article, we discuss the best practices that we need to follow when coding microservices to achieve efficient microservices without unnecessary complexities.

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1. Select the best suitable language to code.

Different programming languages can be used to develop microservices in the same application. In other words, the language in which the microservice is developed does not affect the functionality of the application. Java, Python, Golang, C++, and Node JS are the most popular languages used in implementing microservices.
In this section, let us investigate the programming languages that support microservices development thoroughly.

1. Java

Java is one of the excellent programming languages to code microservices due to its readable annotation syntax. This is extremely useful when implementing composite and complex systems. Spring Boot, Dropwizard, Restlet, and Spark are some popular frameworks of Java for microservice development.

2. Golang

Golang is a great language to develop microservices due to its concurrency and API support. The concurrency of Golang will help you to enhance the productivity of the service. For that reason, Golang can be used to implement complex applications and also to improve existing software applications. GoMicro and Gi Kit are the frameworks of Golang that support microservice development.

3. Python

Prototyping in Python is quicker and simple when compared to other languages. It allows us to use its strong substitutes while ensuring compatibility with old languages like ASP and PHP. Flask, Falcom, Bottle, Nameko, CherryPy are some popular frameworks of Python for microservice development.

4. Node JS

Input and output operations of microservices developed with Node JS are extremely fast due to the V8 runtime of Node JS. Node JS microservices are developed either using CPU-bound or IO-bound code. Furthermore, Node JS increases productivity, performance and lowers costs.
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2. Reduce the number of lines of code through partitioning the Microservice code base

All the microservices of a certain application must follow a suited structure to include their codes. The microservice codebase can be partitioned according to the requirement of the microservice and the task in which the application expects from it. In general, a microservice codebase can be partitioned into three main parts. They are,

1. Route and Operation Management partition

This can be used to include the lines of code used to define the inputs and the operations performed to output the response from the defined route.

2. Connectivity Management partition

This can be used to include the lines of codes to define the other services the microservice is connected to and other connections such as database connections.

3. Utility Server Partition

This can be used to include the lines of codes to define general functionalities such as validations, logging management, etc.

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How can partitioning the Microservice code base reduce the number of lines of code?

The most straightforward answer for this question is “through reusability.” By petitioning the microservice code base, you will get separate components.
For example, consider a scenario where two functions of a microservice require the output of the same database query. In this case, you will have to code the two functions in the Route and Operation Management partition. When it comes to the coding of the query and to get it, you will be using the Connectivity Management partition.
But, you only have to write the “fetching data from the query” code only once in the Connectivity Management partition. Then you can link the two functions in the Route and Operation Management partition to the same “fetching data from the query” code in the Connectivity Management partition.
This is how we can reduce the number of lines of code. But as mentioned above, the number of partitions can be increased depending on the necessities and the needs of the microservice.