The Best Languages for Microservices

Anna Khrupa by Anna Khrupa on February 2, 2019

The Best Languages for Microservices

Microservices aren’t a new kind on the block anymore. Having proved their efficiency (improved scalability, faster time to market, development productivity, and more), they are now widely adopted by practically all: from prominent technology companies (Netflix, Uber, Groupon) to small local development teams.

When it comes to microservices development, a relevant question is: what language should I use to write microservices?

A sneak peek: you can use practically any programming language for developing microservices architecture. But, it doesn’t mean that this process would be as smooth as you’d expect. So, what are the top languages for microservices? Let’s discover the top!

Criteria for choosing a language

As we’ve mentioned, writing microservices isn’t bound to a specific framework or a programming language. However, we can’t deny that fact that certain languages make the implementation of patterns and principles around microservices architecture more efficient and easy.

Here’s a short list of components and features that must be inherent in a programming language or a framework, so it’s considered efficient enough for microservices implementation:

  • Culture of automation
  • Decentralization of components
  • Built around business domain
  • Consumer-first approach
  • Culture of Continuous Integration (CI) and Continuous Deployment (CD)

Now let’s review each language in detail.

#1: Java

Java, a language with a 20+ history, is loved by many developers for its readability, maintainability, and variety of microservices frameworks that include Spring Boot, Play!, DropWizard, Spark Java, Swagger, and Jersey. Let’s briefly review the top Java frameworks for microservices:

  • Spring Boot. One of the mostly used microservices framework written in Java. Spring Boot offers a solid infrastructure for practically and kind of apps: from security to big data.
  • DropWizard. This open source framework is efficient for developing high-performing RESTful web services including Java microservices. The DropWizard consists of field-proven Java libraries that efficiently reduce development time and allow JAVA developers to focus on more creative and challenging tasks.
  • Jersey. A Java framework based on JAX-RS specification. Developers like Jersey for its speed, easy routing, and well-written documentation with examples.

#2: Golang

Go, or Golang amazes with its speed and support for concurrency in terms if microservices development. Concurrency realized in Golang efficiently boosts running across several cores and machines. In addition, Go boasts several powerful frameworks:

  • Go Micro. Go Micro is an RPC framework for developing microservices in Golang. It offers such goodies as load balancing, PRC Client and server packages and message encoding.
  • Go Kit. Unlike Go Micro, this library is created to be imported to a binary package. The frameworks is optimized for DDD (Domain-driven design), explicit dependencies, and declarative compositions.
  • Gizmo. This microservice toolkit isn’t as mature as Go Micro, however, has capabilities for server implementation and high-level building components like configs.

Looking at Golang perks for building microservices, no wonder it’s such a popular language. To build your project with savvy Golang developers from QArea, contact us and let’s schedule a call!


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#3: Python

Python enables a RESTful approach to creating APIs, thus, efficiently using web protocols like HTTP and toolkits for remote object search and manipulation. Why is Python advantageous to writing microservices?

  • Prototyping is easier and faster compared to other languages and frameworks
  • Availability of powerful substitutes to heavy implementations like Django
  • Compatibility with legacy languages like PHP

Final thoughts

To sum up, we’d like to cite a recent report by Red Hat. The report reveals that 45% DevOps have no preference in a particular language or a framework when it comes to building microservices. Instead, they claim that it’s better to choose the right tool for the task. At this point, we couldn’t agree more.

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Written by
Anna Khrupa, Researcher/Marketing Manager

Anna is a self-motivated and curious research analyst who keeps her eye on digital marketing trends, IT market state, audience response to the content our team puts out, and examines content strategies of competitors. Anna’s multi-tasking skills overlapped with an in-depth understanding of IT outsourcing make her a powerful player on our team. In her free time, Anna likes reading crime fiction and swimming.