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 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.
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.
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.
I loved learning about TARS, and the many industries that use this framework.
I am not a programmer, but I'm familiar with some of the concepts of application development; I really enjoyed it.
I liked how much of the Kubernetes components it covered. I also really liked the hands-on labs, they were clear, and easy to follow, and all the setup scripts worked without any troubleshooting needed.
This course covered many topics in Kubernetes, and has improved my knowledge of Kubernetes.
Before taking this course, you should be familiar with:
For hands-on lab exercises, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Lab exercises in this course have been tested in a GCP environment.
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider.
Feel free to request a quote for corporate in-house programs or our upcoming open events. Write to us at info@meritglobaltraining.com
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Should your enquiry be urgent, please mail us at info@meritglobaltraining.com or call us +971 50 205 6399 / +91 80885 11977 / +1 863-250-1577