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Pluralsight - Kubernetes Administration - Learning Paths [FCO]


Created by: Anthony Nocentino
Language: English
Released: Year 20/21/22
Duration: 18h 58m
Course Source: https://www.pluralsight.com/paths/kubernetes-administration

About

This path focuses on the skills and knowledge required to become a fully functioning Kubernetes Administrator. You’ll begin with basic administration tasks and understanding the capabilities that the Kubernetes platform provides. You’ll cover each segment of knowledge needed to fully administer everything you’ll need as a Kubernetes administrator. By the end of this path, you’ll have gained the practical knowledge required to hit the ground running as a Kubernetes administration wizard.

What You Will Learn

• Kubernetes and application Lifecycle Management
• Kubernetes installation, configuration, and validation
• Kubernetes core operations concepts
• Kubernetes networking
• Kubernetes scheduling
• Kubernetes security
• Kubernetes cluster maintenance
• Kubernetes logging and monitoring
• Kubernetes storage
• Troubleshooting Kubernetes

Learning Paths

• 01-Kubernetes Installation and Configuration Fundamentals (Feb 2021)
• 02-Managing the Kubernetes API Server and Pods (May 2021)
• 03-Managing Kubernetes Controllers and Deployments (Sep 2021)
• 04-Configuring and Managing Kubernetes Storage and Scheduling (Jan 2022)
• 05-Configuring and Managing Kubernetes Networking, Services and Ingress (Oct 2021)
• 06-Maintaining, Monitoring and Troubleshooting Kubernetes (Jun 2020)
• 07-Configuring and Managing Kubernetes Security (Aug 2020)

Experience
• Linux command line essentials
• Linux networking and service management

About Author

Anthony Nocentino

Anthony is a Principal Field Solution Architect at Pure Storage as well as a Pluralsight Author, a Microsoft Data Platform MVP, Linux Expert, and Corporate Problem Solver. Anthony designs solutions, deploys the technology, and provides expertise on business system performance, architecture, and security. Anthony has a Bachelors and Masters in Computer Science with research publications in high performance/low latency data access algorithms and spatial database systems.

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