Learn Kubernetes from Pluralsight
Pluralsight offers you 44 courses, to learn Kubernetes now!
Pluralsight, is an American publicly held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 6,500 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
Pluralsight
All Levels
Video
English
2h 1m
Architecting with Google Kubernetes Engine - Foundations
In this course^ Architecting with Google Kubernetes Engine:Foundations^ you get a review of the layout and principles of Google Cloud Platform^ followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
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Intermediate
Video
English
1h 46m
Architecting with Google Kubernetes Engine - Production
In this course^ Architecting with Google Kubernetes Engine - Production ^ you ll learn about Kubernetes and GKE security, logging and monitoring, and using GCP managed storage and database services from within GKE.
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Intermediate
Video
English
2h 51m
Architecting with Google Kubernetes Engine - Workloads
In this course^ Architecting with Google Kubernetes Engine - Workloads ^ you learn about performing Kubernetes operations, creating and managing deployments, the tools of GKE networking, and how to give your Kubernetes workloads persistent storage.
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Intermediate
Video
English
44m
Cloud Native Applications with .NET Core and Azure Kubernetes Service
Microsoft Ignite 2019 | Cloud Native Applications with .NET Core and Azure Kubernetes Service | Shayne Boyer^ Scott Hunter
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All Levels
Video
English
1h 55m
Configuring and Managing Kubernetes Networking^ Services^ and Ingress
It s time to dig deeper into Kubernetes networking! You will learn Kubernetes cluster networking fundamentals and configuring and accessing applications in a Kubernetes Cluster with Services and Ingress.
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All Levels
Video
English
2h 47m
Configuring and Managing Kubernetes Storage and Scheduling
This course teaches how to decouple state and configuration from your Pod s lifecycle using persistent storage^ and covers configuration as data as well as how to schedule Pods to Nodes in your Kubernetes cluster.
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Expert
Video
English
45m
Consolidating Infrastructure with Azure Kubernetes Service
Microsoft Ignite 2019 | Consolidating Infrastructure with Azure Kubernetes Service | Scott Coulton
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All Levels
video
English
2h 51m
Deploying Containerized Workloads Using Google Cloud Kubernetes Engine
This course deals with the Google Kubernetes Engine^ the most robust and seamless way to run containerized workloads on the GCP. Cluster creation^ the use of volume storage abstractions^ and ingress and service objects are all covered in this course.
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Beginner
video
English
1h 46m
Docker and Kubernetes: The Big Picture
Docker and Kubernetes are transforming the application landscape - and for good reason. Get yourself – and your teams – up to speed and ready to take your first steps in Docker nad Kubernetes.
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All Levels
Video
English
2h 20m
Kubernetes for Developers: Moving from Docker Compose to Kubernetes
Do you need to move containers created with Docker Compose into Kubernetes for development or testing purposes? This course covers several solutions to simplify the process and introduces tools that support live development against Kubernetes.
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Intermediate
Video
English
2h 11m
Maintaining^ Monitoring and Troubleshooting Kubernetes
This course will teach you to build^ maintain^ and troubleshoot production Kubernetes clusters.
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All Levels
Video
English
2h 40m
Managing Kubernetes Controllers and Deployments
Learn how to deploy and maintain applications using Kubernetes Controllers. In this course you ll learn how to select a Controller for your workload^ deploy it^ and maintain your container-based applications in your Kubernetes cluster.
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