Languages That Work Best for Microservices Architecture
Microservices will be the most talked-about software architecture trend in 2021. Microservice architecture is a popular trend that has attracted attention from many tech companies, including Amazon, Walmart, and Netflix.
Many small and medium businesses are also moving to build complex applications. They hope to migrate from monolithic systems into a single Microservice architecture. The biggest problem for organizations looking to adopt Microservice architecture is choosing the right technologies and tools.
What is Microservices Architecture?
Microservice architecture refers to a method where an application can be broken down into smaller services. These services can then be executed as they go along with lightweight mechanisms. Microservices are designed to be used by businesses and can be deployed separately using automated deployment mechanisms. Microservices architecture uses a variety of technologies to store data and has distinct programming languages.
Considerations for selecting the right language to use for Microservice architecture
Microservices enable developers to offer a reliable platform for their business to reap the benefits of microservices. Even though developers can use multiple languages, it does not mean that it will work.
Microservices have many overheads. Adding a different programming language to them can dramatically increase their performance. Standardizing the programming language should be done to reduce overhead. This can be achieved by focusing on business requirements. It is smart to consider criteria for evaluating the programming language. Let's take a look at these criteria:
- Continuous integration support
- Highly visible
- Automation support
- Modeled around business domain
- Independent deployment
- Customer-first approach
We now have a good understanding of Microservices, and how to choose the best programming language. Now we can move on to the best technologies to build Microservice architecture.
Technologies that simplify microservices architecture development
You can execute microservices using many tools, versions, or frameworks. Let's find out more about the technologies used to develop microservices.
Docker and Kubernetes
Docker is a containerization tool that allows you to develop, test, and run software systems in self-contained containers. Kubernetes automates the manual tasks involved in managing and deploying containerized applications. It aids with container scheduling and scaling.
Combining these technologies can help you create a responsive microservices architecture. It can scale seamlessly up or down depending on your needs.
Docker has many benefits
- Docker makes it easy to deploy your software. All you need is Dockerfiles to deploy Docker images.
- It is compatible with many operating systems and has several plugins that enhance its features and integrate with other tools and services.
- Docker provides facilities for continuous distribution and integration that are suitable for DevOps culture.
- It is a lightweight technology that can be used to build microservices infrastructure.
- Docker Compose coordinates many containers to create a whole system of microservices using containers.
REST (Representational States Transfer) is a tool that allows microservices to communicate and collaborate with other microservices.
This architectural design pattern allows microservices to communicate directly via HTTP. It handles responses and requests in standard formats such as JSON HTML HTML or XML.
Benefits of REST
- This tool is amazing for creating scalable microservices.
- This allows the server and client to be applied independently without notifying the other.
- Codes can be modified on all sides without affecting each other.
Prometheus provides an alerting tool and a full-service monitoring platform for complex app topologies that contain many nodes. This tool can execute multidimensional data using key-value labels and offers datastore and scrapes. Prometheus is a quick and easy tool that filters data based on labels.
Prometheus can be used to create a powerful visualization of statistics and alerts. Prometheus allows data collection and visualization. It also offers time-based tracking options to quickly identify anomalous patterns. It is a powerful monitoring tool with a simple dashboard interface and various essential graphing tools.
Multi-dimensional data collection and querying supported
This extensible data model allows you to add arbitrary key-value dimensions to time services.
Apps that are simple in design and capacity can be built.
Ideal for microservices software systems.
Ideal for cloud-native deployed environments.
Redis is a versatile technology that can be used for many applications. Redis is a flawless, high-speed NoSQL database. It facilitates elastic data structures as well as quick responses to complex coding problems using simple commands. Redis supports Streams and Hashes as well as other types of values.
Redis is a highly-performing platform. It can handle millions of operations quickly and read operations in milliseconds. Another perk is its distributed caching engine. It includes data persistence, data sharing between microservices seamlessly, and temporary data storage.
Rediscover the benefits
- Users have access to a scalable database that can support many apps and processes.
- Optimizes the data layer from syncing across geopolitical boundaries to inter-service communication via Data Management.
- This app can reduce client workload and speed up its function as a cache manager.
- Multipurpose usage for different data handlings.
Consul technology allows microservices to communicate with each other. It is unique and stands out among the rest of the service discovery technologies. Consul can be used with other technologies as well, thanks to the Consul Template and DNS interface.
A consul is a great tool for setting up microservices architecture in the synchronous system. Its infrastructure meets all the requirements of synchronous microservices.
Consultations have many benefits
- One of the most powerful service discovery technologies.
- Microservices configuration assistance
- Features an HTTP REST API.
- Performs health checks.
- It is completely transparent and can be used with no code dependence.
This trusted message technology allows for both pub/sub messaging and messages queuing, as well as consistent protocols. Most developers consider RabbitMQ as a unique message broker. RabbitMQ can be configured to use SSL. This adds an extra layer of security.
RabbitMQ is more versatile than other message brokers. It excels at clustering and can scale up to almost half a million messages per second.
- This app is a microservice-based app that helps with complex routing communication.
- If you are looking for a long-term job, this is a great option if your background requires you to perform authentic tasks.
- To help you ensure functionality and reliability, Features Publisher confirms and persists.
Microservices Architecture: Languages that Work Best
Next, consider which languages are best for building microservices architecture. Below is a list that supports microservices architecture building.
The high-level programming language Python actively supports integration with different technologies. Python allows for fast prototyping, compared to other languages and frameworks. It is therefore the best choice for developers.
Python can be used with legacy languages like PHP and ASP. While executing microservices in Python, developers use a RESTful API method. Django and NameKo are some of the most popular Python frameworks for web application development.
Google launched Go in 2009. This language is also known as Golang because of its domain name. Golang is well-known for its microservices architecture and API support. Concurrency features increase productivity across different devices.
Golang is a great platform for creating complex apps. It also offers excellent testing support. Go-Kit and Go Micro are the main Golang frameworks used to build microservices architecture.
Node.js is a great platform for both start-ups and enterprises who need to create microservices architectures in the past few years. It is a fast platform for IO (Input/Output) - bound tasks, as it was built with the V8 runtime. Enterprises rely on microservices Node.js for high performance, lower cost, higher productivity, and satisfied developers.
Node.js has seen a lot of development over the past few years. You can also find thousands of open-source libraries on the npm website. Sometimes the module you require can be deployed with a little bit of development. It saves you a lot of time and money.
Java is a popular, stable, and easy-to-read programming language. The Java programming language is better for building microservices architecture. The Java programming language's simple syntax allows for microservices architecture to be created more easily. Java provides a great choice because it offers a UI and connectivity to back-end resources, as well as model components.
Java is more readable when working with complex systems. Dropwizard and Spring Boot are the major Java frameworks that allow microservices architecture to be built. Spark, Eclipse Microsprofile, Spark, Spring Boot, Spark, Spark, and Spark are just a few of the many Java frameworks.
.NET is a great cross-platform platform for microservices. It allows you to use a trusted and well-maintained language that is supported by Microsoft. Its in-built Docker containers help develop microservices. If you are looking to build your microservices architecture, Docker Hub has.NET Docker images.
It is easy to integrate.NET microservices into apps written in Node.JS or Java. This allows you to gradually migrate to.NET core technology. Cloud services can also be benefited by.NET microservices.
Microsoft has a stable and secure platform called Azure, which is well-suited for.NET. This hybrid approach allows you to run modules in the cloud.
C++ is an efficient, flexible, complex, and fast programming language. It is a key component in robotics, appliances, automotive apps, and database service. The C++ microservices library offers a fantastic service registry. It is based on the OSGi R4.2 specification's service layer. Cross-platform library REST SDK also uses C++ microservices.
It is recommended that you start building microservices architecture right away. It can be difficult to find the right technology and language for microservices. Every technology is dependent on the tool that you use to create different app parts. Your team's knowledge is also important.