Introduction to Telco Cloud: Towards Cloud-native Telecom
This Learning Path guides you through a curated collection of training labs, providing you with real-world, hands-on experience in Telco Cloud by exploring the essentials of cloud-native telecom.
About The Learning path
Audiences
Learning Path Flow:

Lab Architecture:
This Hands-on Training consists of access to a hands-on lab to practice and will guide students through a series of exercises and mini-projects that cover essential Linux concepts. Students will learn how to use the command line, navigate the file system, configure network services, secure the system and much more.

Lab Objectives:
- Gain a strong foundation in Linux and its role in modern computing.
- Develop proficiency in terminal commands for file management and permissions.
- Acquire skills in user and group management for secure access control.
- Learn to monitor system performance and troubleshoot issues effectively.
- Build networking knowledge to configure interfaces and maintain connectivity.
Lab Architecture:
This Hands-on Training consists of a Docker environment and an all-in-one Kubernetes cluster. You will use a Telco application in this environment.

Lab Objectives:
- Gain a deep understanding of containers and their role in telecom applications.
- Create and configure containers to efficiently deploy and manage telecom workloads.
- Optimize storage with Docker volumes and registry management.
- Enhance security and performance with resource limits and isolation techniques.
- Prepare for large-scale deployments using Docker Compose and Kubernetes basics.
Lab Architecture:
This Hands-on Training consists of a dedicated instance of GitLab environment to learn git fundamentals and automation of your deployments. You will use a Telco application to combine the different steps of your pipeline.

Lab Objectives:
- Gain expertise in Git workflows, mastering commit management, branching, and team collaboration.
- Learn to build and automate CI/CD pipelines for Telco applications, ensuring efficient software delivery.
- Optimize GitLab Runners for faster and more reliable CI/CD execution.
- Enhance monitoring and automation by leveraging Prometheus, Grafana, and GitLab APIs.
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