Building Microservice Platforms with TARS

Get an introduction to microservices and the TARS framework. In this course you will learn how to efficiently develop microservices programs using different programming languages and quickly deploy the corresponding services into applications. This course will show you why more and more developers and companies have chosen TARS to build their services. You will learn how to efficiently develop microservices programs using different programming languages and quickly deploy the corresponding services into applications.

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Target group

This course is an introduction to microservices and the TARS framework for beginners. It is designed for engineers working in microservices, as well enterprise managers interested in exploring internal technical architectures, especially working for digital transmission in the traditional industry. In addition, anyone interested in software architecture will benefit from this course.

Target group

Course structure

  • Chapter 1. Introduction to Microservices and TARS
  • Chapter 2. TARS Environment Setup
  • Chapter 3. Fundamentals of TARS
  • Chapter 4. Hello World (Build your first service in TARS)
  • Chapter 5. System Configuration from the Graphical Interface

Benefits

Upon completion, you will wield a powerful skill for understanding microservices architecture and should be able to quickly build stable and reliable applications based on TARS. TARS is a new generation distributed microservice applications framework designed to support multiple programming languages, including C++, Golang, Java, Node.js, PHP, and Python, which allows developers and enterprises to quickly build stable and reliable applications that run at scale.

Benefits

Prerequisites

Before taking this course, you should be familiar with:

  • Linux Command Line Interface (CLI)
  • Basic knowledge of Docker and Kubernetes
  • Basic knowledge of MySQL
  • Programming languages: C++, Golang, PHP, etc.

The recommended configuration of a development environment for the course is the following:

  • At least a bare metal or virtual machine with 2G+ memory.
  • OS can be Linux (recommended), MacOSX, or Windows.
Prerequisites

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