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Top 5 Technologies to Develop Microservices Architecture

Vikrant Bhalodia
Head of Operations with 12+ years of multi-functional expertise at WeblineIndia, a leading Software Development Company.
・4 min read

Developers have now started leveraging microservices architecture because several small services ensure that complex and large applications function cohesively. Several tech giants have moved to microservices, like Netflix, Amazon, Twitter, Spotify, etc.

Now if you also want to develop microservices architecture, a common question will pop up in your mind regarding which language would be the best for your project. Before jumping on to the best technologies to build microservice architecture, let us know what it is.

What is Microservices Architecture?

The microservices architecture refers to a development procedure where a single application can be fragmented into a series of several more minor services. The services then execute in their process and also interact with lightweight mechanisms. Microservices are established around the capabilities of a business that can further be individually deployed with automated deployment mechanisms. Bare minimum management of such services is required by microservice architecture, which has built-in distinct programming languages and uses different data storage technologies.

Criteria For Choosing a Language for Writing Microservices

Microservices helps developers to build a reliable platform to extend their business and obtain the benefits of diversity from languages used. The developers can use several different technologies or languages for distinct services; it doesn't mean it's effective. The microservices architecture has numerous operational overheads, and when a performance overhead is added, it raises the performance overhead.

For its reduction, the microservices technologies stack should be standardized by selecting the programming language based on the needs of your business. When you are required to evaluate programming language's criteria for microservices development, below mentioned are a few:

  • Support for Automation
  • Modeled around Business Domain
  • Highly observable
  • Support for continuous integration
  • Independent deployment
  • Decentralization of components
  • Consumer-first approach

Which are the Best Languages for Building Microservices?

Microservices can be implemented with a host of frameworks, tools, and versions. A few of them include Python, C++, Java, .NET, etc. Let us explore more about the languages that support microservices development in detail.

Golang:

Golang is a good choice for developing microservices when you are looking forward to enhancing your current project. Go is another name of Golang and is famous for API support and concurrency in terms of microservices architecture. With the possibility of Golang's concurrency, as a developer, you can expect enhanced productivity of numerous cores and machines.

Goland has a powerful standard for the development of web services. It is designed exclusively for the creation of complex and large applications. Go offers two highly impressive frameworks for the development of microservices.

Go Micro: It is an RPC framework with several benefits, including server packages, Load balancing, message encoding, and PRC Client.

Go Kit: The critical difference between GoMicro and GoKit is its desire to get imported into binary packages. It is also advanced for explicit dependencies, declarative aspect compositions, and domain-driven design.

Python:

Python is a high-level programming language that offers active backing for smooth integration with various technologies. When prototyping, the process is rapid and easy compared to the other languages and frameworks. It also includes powerful alternatives for heavy implementations like Django. The microservices Python makes it compatible with legacy languages, like PHP and ASP. It enables developers to create web service front-ends for hosting Microservices.

With numerous benefits, Python Microservices is considered better than other languages. When it comes to Python Microservices, a range of frameworks are available for developers to choose from.

.NET:

ASP.NET is a .NET framework used for web development and simplifies APIs that become microservices. It encompasses built-in support for deploying and building microservices with the help of Docker containers. If you already have an application, .NET microservices can easily be adopted without completely revamping that particular application. You can contact .NET development service experts to leverage the benefits of its microservices.

It enables the compilation of different technologies between each service. That said, you can choose to use .NET only for a specific part of your application, and you will not have to implement it everywhere. The .NET microservice architectures are easily mixed with applications written in Node JS, Java, or any other language. The .NET microservices can also easily run on all leading cloud platforms.

Node JS:

Node JS has evolved as a go-to platform for startups and enterprises willing to embrace microservices in the past few years. V8 runtime is used to build Node JS, and hence Microservices Node JS will be rapid for Input-Output bound tasks. Microservices Node JS is developed using IO-bound or CPU-bound code. Microservices Node JS has become very popular in terms of IO-bound tasks.

Innovative enterprises know that Microservices Node JS is a great combination to obtain enhanced productivity, high-performance, reduced costs, and satisfied developers.

Ruby:

Ruby is one of the most popular programming languages and holds the fifteenth position in terms of popularity. It is because of its development speed, flexibility, code quality, etc. Also, Ruby is an object-oriented programming language with some outstanding features like compatibility with numerous languages, support for all major platforms, inheritance, and garbage collection.

Since the last decade, Ruby has illustrated its reliability and has consistently offered great opportunities to scale products. It is the best choice for the digitalization of enterprises. It provides numerous tools to implement a full range of solutions that include machine learning, mobile development, artificial intelligence, and robotics.

It has some flaws too, which include multithreading and performance. Despite the flaws, it is the best choice for large enterprises and startups as well.

Conclusion

We looked at the top five languages that can be used for microservices architectures. All of them have their set of advantages and disadvantages, and there is no definite answer that affirms the best language. You can use multiple languages to develop microservice architecture. However, you will have to pick the right language depending on the project goals. For instance, microservice architecture can be obtained by hiring either Python or .NET development service experts. According to your project goals, you will have to make a choice.

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