Training > Cloud and Containers > Building Microservice Platforms with TARS (LFS153)
Training Course

Building Microservice Platforms with TARS (LFS153)

Develop a good working knowledge of Linux using both the graphical interface and command line across the major Linux distribution families with this free training course.

Who Is It For

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.
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What You’ll Learn

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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What It Prepares You For

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.
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Course Outline
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
Final Exam (Verified Track only)

Learning Path
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.