5 Best Technologies To Build Microservices Architecture (2023)

Table of Contents

  • What is Microservices Architecture?
  • Reasons to Migrate to Microservices Architecture
  • Benefits of Microservices
  • Criteria for Choosing a Technology for Microservices
  • Best Languages for Microservices
    • Java
    • Golang
    • Python
    • Node JS
    • .Net

“To be effective in fulfilling your goals, you must break them down into little tasks and then spend most of your time working on the task in front of you, instead of being overwhelmed by the enormity of the big goal.” ― Sunday Adelaja,

This may not be the ideology on which Microservices work, but it surely is the principle we follow while developing an App on the Microservices architecture.

Microservices are gaining popularity in the market as businesses work towards building complex and larger applications that can be segregated and handled as a compilation of smaller services. There have been an increasing number of people looking to redesign their traditional monolithic systems into a sequence of single independent microservices.

The natural question that comes to your mind is, Which is the most favorable language to be used while developing microservices for your next project?

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You can use various technologies based on what best serves the purpose of your microservices. Let’s go through some of the programming languages that have the features and libraries, which will help you in getting your job done. But first, let’s begin by understanding Microservices.

What is Microservices Architecture?

The microservices architecture is a development methodology wherein you can fragment a single application into a series of smaller services, each executing in its own process and interacting with lightweight mechanisms. The microservices are developed around business capabilities, which are independently deployable with automated deployment mechanism. The microservices architecture needs a bare minimum of management of these services, built in different programming languages and employs different data storage technologies.

Reasons to Migrate to Microservices Architecture

5 Best Technologies To Build Microservices Architecture (1)

  • In a monolithic architecture, for a large application, it is hard to comprehend the complexity and sometimes it is tough to handle the code.
  • Applications require extensive manual testing in order to comprehend the impact of alterations.
  • Even for a small change, the entire application requires to be deployed again.
  • The heavy application with monolithic architecture can slow down the start-up time.

Benefits of Microservices

  • Easier Process Adoption – With a microservices architecture, new technology, and process adoption become simple.
  • Small Modules – As the application is broken into smaller chunks, it is easy for developers to develop and maintain.
  • Independent Scaling – Each module in microservices can scale independently through
    • X-axis scaling – by cloning with more memory Or CPU
    • Z-axis scaling – by size using sharding
  • DURS - Each service in microservices architecture can be independently DURS (Deployed, Updated, Replaced & Scaled)
  • Unaffected - Even the failure of a single module won’t affect the remaining part of applications.

Microservices guarantee increased the autonomy of development teams (speed to market), better fault isolation (reliability), re-usability and scalability.

Criteria for Choosing a Technology for Microservices

With microservices, you can build a reliable platform to extend the business while taking advantage of diversity in languages. Of course, you can use different technologies or languages for different services, but it does not mean it is effective. The microservices architecture comes with lots of operational overhead; hence adding a diverse programming language on top of that can exponentially raise that performance overhead. To reduce that, you should standardize your microservices technology stack by choosing the programming language based on your business needs. Here are the criteria to evaluate the programming language for microservices development:

  • Highly observable
  • Support for automation
  • Consumer-first approach
  • Independent deployment
  • Modelled around business domain
  • Decentralization of components
  • Support for continuous integration

Best Languages for Microservices

Microservices can be implemented with a horde of frameworks, versions, and tools. Java, Python, C++, Node JS, and .Net are few of them. Let us explore the languages that support microservices development in detail:

1. Java

Annotation syntax, which is easy to read, is the key factor that makes Java a great programming language for developing microservices. This feature makes Java Microservices much easier to develop when powered by Microservices frameworks. It offers more value in readability, particularly while working with complex systems. Java includes many opinions to support developing & deploying Java Microservices. It offers a user Interface, model components as well as connectivity to back-end resources, everything within the boundaries of a single, isolated and independently deployed apps.

(Video) #1 - Introduction to MICROSERVICES Architecture in 5 Minutes #microservicestutorial #microservices

In addition, many of Java EE standards are well suited for microservices applications like:

  • JAX-RS for APIs
  • JPA for data handling
  • CDI for dependency injection & lifecycle management

In addition, service discovery solutions like Consul, Netflix Eureka or Amalgam8 are effortless in connecting with Java Microservices.

There are several Frameworks for developing Microservices architecture. Some of the Java Microservices Frameworks are as follows:

  • Spring Boot – This framework works on top of various languages for Aspect-Oriented programming, Inversion of Control and others
  • Dropwizard – This Java microservices framework assembles stable and mature libraries of Java into a simple and light-weight package
  • Restlet – It supports developers to build better web APIs, which trail the REST architecture model
  • Spark – One of the best Java Microservices frameworks, supports creating web apps in Java 8 and Kotlin with less effort

2. Golang

If you want to enhance your existing project, the Golang can be a good choice for microservices development. Golang, also known as Go is popular for its concurrency and API support in terms of microservices architecture. With the Golang’s concurrency possibility, you can expect increased productivity of various machines and cores. It includes a powerful standard for developing web services. It is exclusively designed for creating large and complex applications. Go provides two impressive frameworks for microservices development:

  • GoMicro – It is an RPC framework, which comes with the advantages like Load balancing, server packages, PRC client, and message encoding.
  • Go Kit – The key difference of Go Kit from GoMirco is it needs to be imported into a binary package. Moreover, it is advanced for explicit dependencies, Domain-driven design, and declarative aspect compositions.

In addition to simple syntax, Go microservices architecture includes excellent testing support as it makes it simple to write robust tests as well as embed them flawlessly into workflows.

3. Python

Python is a high-level programming language that offers active support for integration with various technologies. Prototyping in Python is faster and easier when compared to other frameworks and languages. It includes powerful substitutes for heavy implementations like Django. Microservices Python ensures compatibility with legacy languages like ASP and PHP, which allows you to create web service front-ends to host Microservices.

With all these benefits, Microservices Python is considered to have an edge over other languages. Developers who implement Microservices Python use a RESTful API approach - a comprehensive way of utilizing web protocols & software to remotely manipulate objects. With this technology, it becomes easier to monitor the application since it is now broken into components. There is a broad range of Python microservices frameworks to choose from for your web application development. Some of them are as follows:

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  • Flask – Most popular Python Micro framework based on Jinja2 and Werkzeug
  • Falcom – Create smart proxies, cloud APIs and app back-ends
  • Bottle – Simple, lightweight and fast WSGI micro framework
  • Nameko – Best among the Python Microservices frameworks that allows developers to concentrate on application logic
  • CherryPy – Mature, Python object-oriented web framework

4. Node JS

Node JS became the go-to platform in the past few years for enterprises and startups who want to embrace microservices. Node JS is built with the V8 runtime; hence, microservices Node JS is going to be super-fast for Input-Output (IO) – bound tasks. Normally, Microservices Node JS is developed either using CPU-bound or IO-bound code. CPU-bound program demands many intensive calculations. Every time you run an IO call, Node JS doesn’t block the main-thread but submits the tasks to be executed by the internal IO daemon threads. Hence, Microservices Node JS gains popularity in terms of IO-bound tasks.

Stephen Commisso, senior software engineer of GoDaddy states that proper utilization of microservices and Node JS can help to handle the same load with just 10 % of the hardware.

Highly innovative enterprises accept that Microservices Node JS is an excellent combination for attaining increased productivity, high performance, satisfied developers and reduced costs.

5. .Net

ASP.Net, the .Net framework for web development makes it simple to build the APIs that becomes the microservices. It includes built-in support for building and deploying microservices using Docker containers. .Net comes with APIs that can simply consume microservices from any application you developed including desktop, mobile, web, gaming and more. If you have an application, you can start adopting .Net microservices without entirely revamping that application. The initial setup for .Net Docker images has already been done and available on Docker Hub, helping you to concentrate only on building your microservices.

The .Net microservices architecture allows a compilation of technologies between each service; as such, you can use .Net for a certain part of your app without implementing it everywhere. You can mix the .Net microservices with applications written in Java, Node JS, or any other languages. This allows a gradual migration to .Net core technology for new microservices that function in combination with other microservices and with services built with other technologies. Similarly, the .Net microservices can run on all leading cloud platforms.

The future of microservices leads us closer to serverless architecture; particularly, the promise of cost savings by only paying the amount of compute utilized is even more appealing. Microservices is an extensive concept that applies to churn apps, products or solutions to more granular and modular level. Keep in mind, it is not recommended to start microservices architecture from scratch since it is difficult to define the boundaries of each service at the beginning. There is no better way to choose the perfect technology for your microservices. Every technology decision depends on the tools you will use to develop other parts of your application. It also depends on the current knowledge of your development team.

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5 Best Technologies To Build Microservices Architecture? ›

Top languages to pick for developing a microservices architecture
  1. Node. js. ...
  2. Java. Java is a great programming language for Microservices as it has annotation syntax which makes it easier to read. ...
  3. Python. Python has easy integration with various technologies and is a high-level programming language. ...
  4. 4. . Net. ...
  5. Golang. ...
  6. C++
Apr 22, 2022

What is the technology stack of microservices? ›

A “stack” is a combination of languages, tools, etc., layered one on top of the other to build a digital platform or program. When brought together, these form a microservices technology stack — a specific type of tech stack that consists of different microservices that work together using API technology.

Is Python good for microservices? ›

Advantages of Python for microservices development

This allows them to quickly write application code, plug in boilerplate functions and test the programs before converting them to script. Python is also a strongly typed language, meaning it ensures uniform consistency and minimizes errors by enforcing data types.

How do you develop a Microservice architecture? ›

The following are the key points to think about at that time.
  1. Keep communication between services simple with a RESTful API. ...
  2. Divide data into bounded contexts or data domains. ...
  3. Build your microservices architecture for failure. ...
  4. Emphasize monitoring to ease microservices testing.

Which framework is best for microservices? ›

So, let's get started with the 5 Best Java Frameworks For Microservices.
  • Spring Boot. Possibly one of the finest and easy-to-go frameworks in Java for developing microservices. ...
  • Quarkus. ...
  • Micronaut. ...
  • Eclipse Vert. ...
  • Ballerina.
Aug 8, 2022

Which technology is best for API development? ›

Postman. “It is probably the most popular tool for testing your REST API. If you take a look at their website, you'll find that Postman is used by 5 million developers and over 100,000 businesses to access 130 million APIs each month. It is also feature rich and supports all stages of the REST API life cycle.

Which language is used most for microservices? ›

Primary languages among microservices developers

of all respondents develop microservices. The 3 most popular languages for microservices development are Java (41%), JavaScript (37%), and Python (25%).

Which technologies are essential part of microservices architecture? ›

A typical microservice architecture consists of an API or communication gateway, service discovery, the service, and a database or cache. Despite these benefits, microservices architecture also comes with its own challenges, from implementation to migration and maintenance.

Can we create microservices without spring boot? ›

Definitely yes. Microservice architecture doesn't necessarily assume that a microservice will run in a cloud environment. Spring cloud provides "extra" features usually required in cloud environments, for instance centralized configuration management, service discovery, etc.

Is Docker a microservices? ›

Docker is the world's leading software containerization platform. It encapsulates your microservice into what we call as Docker container which can then be independently maintained and deployed. Each of these containers will be responsible for one specific business functionality.

Does microservices need coding? ›

Microservices lend themselves to containerization too, since they already are small applications with a limited set of dependencies. This means you can scale your services horizontally with technologies like Docker and Kubernetes without writing any customized code.

Is microservices the future? ›

The microservices architecture market is growing. According to Market Research Future, the market is increasing at a CAGR of 17 percent, putting it on pace to reach $33 billion by 2023.

Is microservices and REST API same? ›

Microservices: The individual services and functions – or building blocks – that form a larger microservices-based application. RESTful APIs: The rules, routines, commands, and protocols – or the glue – that integrates the individual microservices, so they function as a single application.

What are the different types of Microservice architecture? ›

While there are literally dozens of ways to implement a microservices architecture pattern, three main topologies stand out as the most common and popular: the API REST-based topology, application REST-based topology, and the centralized messaging topology.

Is spring boot a microservice? ›

With Spring Boot, your microservices can start small and iterate fast. That's why it has become the de facto standard for Java™ microservices. Quickstart your project with Spring Initializr and then package as a JAR. With Spring Boot's embedded server model, you're ready to go in minutes.

Which design pattern is used in microservices? ›

Branch Pattern

Branch microservice design pattern is a design pattern in which you can simultaneously process the requests and responses from two or more independent microservices.

Is Rust good for microservices? ›

Rust is a language particularly well-suited for building microservices. It is a new system programming language that offers a practical and safe alternative to C.

Which language is best for REST API? ›

XML: JSON and XML are the two de facto standards for sending and receiving data in REST APIs. Web programming languages such as Python, JavaScript, Ruby on Rails, and Java all have tools for parsing and working with XML and JSON.

Is RESTful API a technology? ›

A REST API (also known as RESTful API) is an application programming interface (API or web API) that conforms to the constraints of REST architectural style and allows for interaction with RESTful web services. REST stands for representational state transfer and was created by computer scientist Roy Fielding.

Which language is best for API development? ›

Adam Duvander, using ProgrammableWeb data, has cited the top languages used for API helper libraries as:
  • Python.
  • Ruby.
  • . NET / C#
  • Java.
  • Perl.
  • ColdFusion.
  • Node. js.
  • ActionScript.
Nov 12, 2015

What are different ways to deploy microservices? ›

5 Options for Deploying Microservices
  • The 5 ways to deploy microservices.
  • Option 1: Single machine, multiple processes.
  • Option 2: Multiple machines and processes.
  • Option 3: Deploy microservices with containers.
  • Option 4: Orchestrators.
  • Option 5: Deploy microservices as serverless functions.
  • Conclusion.
4 days ago

What type of technology allows for microservices to become scalable and have redundancy? ›

REST is a great tool for building a scalable microservice, since they are stateless and modular. The REST pattern allows the client and the server to be implemented independently without the knowledge of the other entity.

What is the most popular choice for microservices deployment? ›

A simple answer to this could be, Docker . Docker is the world's leading software containerization platform. It encapsulates your microservice into what we call as Docker container which can then be independently maintained and deployed.


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