Best Technologies And Languages To Build Microservices Architecture

These days microservices are gaining popularity in the market because businesses are looking to build complex and larger applications that can be segregated and managed as a compilation of small services. Lots of entrepreneurs are looking to redesign their traditional monolithic systems into a sequence of single independent microservices. There are lots of technologies and languages that you can use according to what serves the purpose of your microservices. Let’s see some of the languages that are best suitable for your microservices architecture. But before digging into it, let’s see what is microservices architecture?

What Is Microservices Architecture?

Microservices architecture is an approach of software development that is used to decompose app into smaller services instead of using traditional monolithic architecture for heavy apps. One of the main target of microservices is to simplify deployment process and build cloud-ready, high-end software programs  rapidly. Dividing single app into small programs helps to easily change, scale and deploy. Microservices architecture uses different data storage technologies and also it needs some in-built programming languages. With increasing popularity of microservices, lots of new technologies have developed. Let’s have a look at effective technologies and programming languages used to build microservices architecture.

Reasons To Migrate To Microservices Architecture-

• With monolithic architecture, for large apps, it is hard to understand the complexity and sometimes tough to handle the code.  
• Applications require detailed manual testing to comprehend the effect of changes. 
• For a small change, entire app needs to be deployed again
• Heavy apps with monolithic architecture can slow down the start-up time.

Technologies For Microservices Architecture Development-

Microservices can be executed using various tools, frameworks and versions. Let’ s see details of technologies that can be used in microservices development.

1. REST-

Representational State Transfer(REST) is a tool that helps microservices to communicate with  other microservices. With this architectural design patterns, microservices can communicate through HTTP directly. It manages responses and requests in standard formats like HTML, JSON, XML etc. 

Advantages Of REST-

• It is used to create a scalable microservice.
• Allows server and client to be applied separately without informing other entity.
• Code can be changed without impacting another code

2. Docker And Kubernetes-

Docker helps to develop, test and run software systems as self-contained packages in a container. Kubernetes is developed to automate manual tasks of deploying and handling containerized apps with scheduling, scaling and so on. With the combination of these technologies you can easily build responsive setup for microservices architecture.  It seamlessly scale up or down according to requirements.

Advantages Of Docker-

• Docker helps to deploy your software easily because you just need to deploy Docker images using Dockerfiles.
• It supports many operating systems, some available plugins that improve features and integration with demanding tools and services
• Docker provides constant distribution and integration suitable for DevOps culture.
• Also, docker helps to coordinate many containers to create a whole system of microservices with containers

3. Redis-

As Redis is a versatile technology, it provides lots of features that make it strong enough for some apps. It’s a high-speed, flawless NoSQL database that provides elastic data structures and quick responses made to fix complicated coding issues with simple commands. Besides core data model, Redis also Streams, Hashes and other types of values. Redis is a high-performing platform that can manage lots of operations in less time and read operations in just a millisecond. It’s distributed engine covers data persistence, seamless data sharing between microservices and secure temporary data storage.

Advantages Of Redis-

• It gives users access to scalable datastore which provides many apps, servers and processes
• Helps to reduce client workload and accelerate the app’s functions as a cache manager
• Can optimize data layer, everything from syncing across geographics to  inter-service communication through data management

4. RabbitMQ-

It supports both pub/sub messaging patterns and message queuing and different consistent protocols. Lots of developers consider RabbitMQ as a unique message broker. You can configure RabbitMQ to use SSL that helps to make an additional security layer. RabbitMQ offers more multi-layered performance. It performs well at clustering and can scale up almost half a million messages in just a single second.  

Advantages Of RabbitHQ-

• It is useful if you need to run authentic background tasks
• Helps with complicated routing communication on difficult microservice-based app.

Languages For Microservices Architecture-

You should consider the languages that work best to create the microservices architecture. Here’s a list of languages that support microservices architecture development-

1. Golang-

If you want to improve your existing project, Golang will be the best choice for microservices development. Golang is popular for its concurrency and API support in terms of microservices architecture. With Golang’s concurrency, you can expect the increase in productivity of various machines and cores. It includes a great standard for developing web services. Mainly it is designed to create large and complex apps. Go provides Go Kit and GoMicro frameworks for microservices development. 

• Go Kit-  It needs to be imported into a binary package. Also it is advanced for explicit dependencies, domain-driven design and declarative aspect compositions.
• GoMicro- It is an RPC framework that comes with advantages like Load lancing, PRC client, server packages and message encoding. 

Go microservices architecture includes great testing support as it makes it simple to write robust tests and embed them into workflows. 

2. Python-

It is a high-level programming language which offers active support for integration with various technologies. Prototyping in Python is easier and faster as compared to other frameworks and languages. It includes great substitutes for heavy implementations such as Django. Python ensures compatibility with languages like ASP and PHP that lets you to create web service front-ends to host microservices. Because of these benefits, microservices python is considered to have an edge over other languages. Developers who are implementing microservices Python can use RESTful API approach to remotely manipulate objects. This technology eases monitoring of app since it is now broken into components. There is  a huge variety of Python microservices frameworks to choose from for web app development. Here’s a list of them-

• Bottle- Simple, lightweight and fast WSGI micro framework
• Falcom- It creates smart proxies, cloud APIs and app back-ends
• Flask- It is popular Micro framework based on Werzeus
• Nameko- Best Python microservices framework that allows you to focus on app logic

Know the amazing tips to speed up python code at- How To Speed Up The Python Code?

3. Java-

It is stable, easy to read, and popular programming language among the developer community. While building microservices architecture, Java will the best choice because of its easy annotation syntax. Also, it is a great option as it provides UI, connectivity to back-end resources and model components. It offers great readability when working with complex systems. 

4. Node JS-

It is a go-to platform for enterprises and startups who want to adapt microservcies. Microservices Node JS is superfast for IO-bound tasks. Generally, Microservices Node JS is developed using CPU-bound or IO-bound code. CPU-bound program needs lots of intensive calculations. Each time you run an IO call, Node JS doesn’t block main thread but submits the tasks to be executed by internal IO daemons threads. So, Microservices NodeJS gains popularity in terms of IO-bound tasks. Innovative enterprises uses Node JS because of its excellent combination for attaining increased productivity, high performance, satisfied developers and reduced costs.

Know the Node.js security best practices at- Top 10 Node.js Security Best Practices

5. C++-

It is a flexible, rapid, effective and complex programming language that plays an important role in robotics, automotive apps and database services. C++ microservices library provides a great service registry. It relies on the service layer. The REST SDK cross-platform library also uses C++ microservices.