Top 5 Technologies To Build Microservices Architecture

Top 5 technologies to build microservices architecture

Microservices are achieving popularity in the market as organizations move in the direction of building complex and larger applications that can be segregated and handled as a compilation of smaller services. There has been an increasing number of people hoping to upgrade their traditional monolithic systems into a sequence of single independent microservices. The basic question that strikes your mind is, Which is the best language to be used while developing microservices for your next project?

You can use different technologies dependent on what best serves the purpose of your microservices. Here we will see some programming languages that have the features and libraries, which will help you in getting your job done. But before that, let us see, what is microservices architecture?

You can also know- Microservices vs. Monoliths: What’s the Right Architecture for your Software?

What is Microservices Architecture?

Microservices architecture is a development methodology wherein you can fragment a single application into smaller services, each one executing in its own process and interacting with lightweight mechanism. The microservices are developed around business capabilities, which are independently deployable with automated deployment mechanism. The microservices architecture needs an absolute minimum of the management of these services, built-in various programming languages and uses various data storage technologies.

Reasons to Migrate to Microservices Architecture-

  • In a monolithic architecture, for a large application, it is difficult to penetrate the complexity and tough to deal with the code.
  • Applications require broad manual testing so as to grasp the effect of alteration.
  • The whole application requires to be deployed again even for a small change.
  • Large applications with monolithic architecture can slow down the start-up time.

Benefits of Microservices-

1. Easier Process Adoption

With a microservices architecture, new technology, and process adoption become easy.

2. Small Modules

It is simple for developers to develop and maintain because the application is broken into smaller parts.

3. Independent Scaling

Every module in microservices can scale freely through-

                  -X-axis scaling – by cloning with more memory Or CPU

                  -Z-axis scaling – by size using sharding

4. DURS

Each service in microservices architecture can be autonomously DURS (Deployed, Updated, Replaced and Scaled)

5. Unaffected-

Even the failure of a single module won’t influence the rest of the app.

Microservices ensure increased the autonomy of development teams (speed to market), better fault isolation (reliability), reusability and scalability.

Criteria for Choosing a Technology for Microservices-

With microservices, you can build a reliable platform to enhance the business while exploiting the advantages of various languages. You can use various technologies or languages for various services, but it doesn’t mean it is effective.

The microservices architecture accompanies many operational overhead; thus including a diverse programming language on top of that can exponentially raise that performance overhead. To decrease that, you should standardize your microservices tech stack by selecting the programming language according to your business needs. Let’s see the criteria to evaluate the programming language for microservices development:

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

Top 5 Technologies for Microservices-

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

1. Java-

Annotation syntax is the key factor that makes Java a great programming language for developing microservices. This feature makes Java Microservices a lot simpler to develop when controlled by Microservices frameworks. It offers more readability, especially while working with complex systems. Java includes numerous opinions to support developing and developing Java Microservices. It offers a UI, model components and also connectivity to back-end resources, everything within the limits of a single, isolated and independently deployed applications. Also, many of Java EE standards are appropriate 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 easy to connect with Java Microservices. There are a few Frameworks for Microservices architecture development. Some of the Java Microservices Frameworks are as per the following:

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

2. Python-

Python is a high-level programming language that offers active support for integration with different technologies. Prototyping in Python is rapid and simpler as compared to other frameworks and languages. It includes great substitutes for overwhelming implementations like Django. Microservices Python ensures compatibility with legacy languages like ASP and PHP, which allows you to make web service front-ends to host Microservices.

Due to these advantages, Microservices Python is considered to have an edge over different languages. Developers who implement Microservices Python utilize a RESTful API approach – a way for using web protocols & software to remotely manipulate objects. With this technology, it gets simpler to monitor the application since it is now broken into components. There is a wide scope of Python microservices frameworks to select from for your web application development. Some of them are as per the following:

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

3. C++

C++ is a programming language with object-oriented features that support developers to rapidly compile portable programs. This language plays a key role in database services, automotive applications, robotics, and appliances. Developers use REST SDK, a cross-platform library, which runs on Mac OS, Linux and Windows to implement the C++ microservices with less code. The REST SDK library uses C++11 syntax and offers threading and networking I/O flexibility to implement a complete microservices that opens up a REST API interface. The C++ Microservices library offers a dynamic service registry dependent on the service layer as referenced in the OSGI R4.2 specification. Appropriate implementation of microservices concepts leads to the following advantages:

  • Reuse of software components
  • Reconfigurable and extensible systems
  • Loose coupling between consumer and service providers

4. Node JS-

NodeJS turned into the go-to platform in some previous years for enterprises and startups who need to grasp microservices. Node JS is built with the V8 runtime; hence, microservices Node JS will be super-fast for Input-Output (IO) – bound tasks.

Ordinarily, Microservices Node JS is developed either using CPU-bound or IO-bound code. CPU-bound program demands numerous intensive calculations. Each time you run an IO call, Node JS doesn’t block the main-thread but submits the tasks to be executed by the interior IO daemon threads. Due to this, Microservices Node JS gets popular regarding IO-bound tasks.

Innovative enterprises accept that Microservices Node JS is a brilliant combination for achieving more productivity, high performance, satisfied developers and reduced costs.

5. .Net-

ASP.Net, the .Net framework for web development makes it easy to build the APIs that become microservices. It includes built-in support for building and deploying microservices using Docker containers. .Net accompanies APIs that can simply consume microservices from any application you developed including desktop, mobile, web, gaming and so on. If you have an application, you can start using .Net microservices without completely revamping that application. The initial setup for .Net Docker images has just been done and available on Docker Hub, helping you to focus just on building your microservices.

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

The future of microservices drives us closer to serverless architecture; especially, the guarantee of cost savings by just paying the amount of compute used is more engaging. Microservices is a broad concept that applies to churn applications, products or solutions for more granular and modular level.

Wrap up-

Remember, it isn’t suggested to start microservices architecture from scratch since it is difficult to define the limits of each service toward the beginning. There is no better way to pick the ideal technology for your microservices. Each technology choice relies upon the tools you will use to develop different parts of your application. It also relies upon the knowledge of the team.

If you are facing any difficulty regarding microservices, consult with Solace experts. We have a team of dedicated experts to help you for microservices. Connect with Solace to get appropriate web solution. We will be happy to help you.

Related Post