Trending September 2023 # Top 9 Essential Microservices Tools # Suggested October 2023 # Top 12 Popular

You are reading the article Top 9 Essential Microservices Tools updated in September 2023 on the website Phuhoabeautyspa.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested October 2023 Top 9 Essential Microservices Tools

Introduction to Microservices Tools

Web development, programming languages, Software testing & others

These services are small, manageable, independent, and unique, which follows the single service, single responsibility principle. But the architecture can be difficult or complex regarding development and maintenance.

To meet the business target and goals, microservices communicate with each other by utilizing synchronous protocols such as HTTP/HTTPS/REST or asynchronous protocols such as HTTP/REST/MCQs(message queuing such as Kafka, Rabbit MQ); these technologies are used for collaboration among microservice that implement a business function which is related to each other to accomplish the business work as much as possible.

Top 9 Microservice Tools

Tools for microservice development are mostly divided into the following category, which plays an essential role in microservice development by increasing the developers’ productivity.

Programming Language

Architectural Frameworks

Build and Assembly

Message Queuing

Containerization

Cloud Deployment

Application Monitoring

API Testing and Management

Team Building

1. Programming Language 2. Architectural Frameworks 3. Build & Assembly 4. Message Queuing

Application builds by using microservice is a system where each independent services communicate with each other or within themselves synchronously and asynchronously. To accomplish communication among the service, microservices use messaging queues.

Some of the most widely used messaging tools are as follows:

Apache Kafka: It is a distributed publish-subscribe type of messaging system. It is agile, scalable, and distributed and can handle a huge amount of data or transmit it through streams. A large scalable project distributed stream processing platform utilizes Apache Kafka, which is useful for data processing among services and facilitating inter-application communication or API calls.

RabbitMQ: This messaging tool analyzes and utilizes patterns to communicate among microservices/inter-application communication and scale the applications parallelly. By using this tool, microservice can asynchronously communicate with each other to solve the problem in a distributed environment. Also, this can generate/exchange the events between the individual services or maintain the data queue to protect the data from loss in the asynchronous communication environment.

5. Containerization

Containerization involves developing an application with all its dependencies and configuration files required to run it in a different computing environment through developer machine to across servers (which might have a different operating system); it works on the principle of build, ship, Run any app anywhere across the different environment. Containerization eliminates the problem of the code running in the developer’s machine but not in the production live environment.

Some of the most widely used containerization technologies are Docker and Kubernetes, Docker is used to create the container for application/service, and Kubernetes is used for application/service-container deployment, scaling & descaling of containers & container load balancing.

6. Cloud Deployment 7. Application Monitoring

After developing and deploying the application, monitoring the working events in the production environment becomes very important. Handling and proactively monitoring the deployed service/application can prevent the system from experiencing failures that could negatively impact the business. Logstash, ELK, Nagios, Prometheus, and Grafana are the most famous monitoring tools.

8. API Testing & Management

when start developing the applications using microservices, we also need to make sure that all the individual services can communicate with each other using API; for this, we have to calibrate all the APIs while developing the application for API testing most famous tool is Postman, apache JMeter (for testing the load balancing on the service/application).

9. Team Building

Application development teams must regularly deal with the required change to add value to the microservices. The teams must cooperate well to achieve common business goals or targets. Some of the most famous team management tools are Jira, Slack, etc.

Conclusion

It always depends on the requirement to decide which tools we need to use to meet the business goals; there are no recommended tools for development, but this article refers to explain the importance and feature of the tools so the developer can decide the tool need to be used according to their understanding, capabilities, and requirement.