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Managing the Kubernetes API Server and Pods

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Anthony Nocentino

3:43:54

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  • 1. Course Overview.mp4
    01:35
  • 01. Introduction, Course, and Module Overview.mp4
    01:36
  • 02. The Kubernetes API and API Server.mp4
    01:46
  • 03. The Control Plane and API Objects.mp4
    04:47
  • 04. Defining a Basic Pod Manifest.mp4
    01:53
  • 05. Using kubectl dry-run.mp4
    03:49
  • 06. Using with kubectl diff.mp4
    01:17
  • 07. Lab Environment Overview.mp4
    01:24
  • 08. Demo- API Server Discovery, Listing Resources, Using kubectl explain, and Creating Objects.mp4
    08:25
  • 09. Demo- Working with kubectl dry-run.mp4
    06:01
  • 10. Demo- Working with kubectl diff.mp4
    02:11
  • 11. API Groups and API Versioning.mp4
    06:04
  • 12. Demo- API Object Discovery - API Groups and Versions.mp4
    04:10
  • 13. Anatomy of an API Request- API Verbs and Special API Requests.mp4
    05:06
  • 14. API Resource Location (API Paths) and API Response Codes.mp4
    04:40
  • 15. Anatomy of an API Request - A Closer Look.mp4
    02:34
  • 16. Demo- Anatomy of an API Request.mp4
    06:53
  • 17. Demo- Special API Requests - Watch, Exec, and Log.mp4
    06:49
  • 18. Demo- Authentication Failures and Missing Resources.mp4
    05:16
  • 19. Module Summary and What's Next.mp4
    00:34
  • 01. Introduction, Course, and Module Overview.mp4
    00:57
  • 02. Organizing Objects in Kubernetes.mp4
    00:44
  • 03. Introducing and Working with Namespaces.mp4
    04:54
  • 04. Creating Namespaces and Creating Objects in Namespaces.mp4
    01:10
  • 05. Demo- Working with Namespaces and Objects in Namespaces.mp4
    08:35
  • 06. Demo- Performing Operations on Objects in Namespaces.mp4
    02:04
  • 07. Introducing and Working with Labels and How Kubernetes Uses Labels.mp4
    07:39
  • 08. Using Labels for Services, Deployments, and Scheduling.mp4
    05:32
  • 09. Demo- Working with Labels - Creating, Querying, and Editing.mp4
    10:07
  • 10. Demo- Deployments, ReplicaSets, Labels, and Selectors.mp4
    06:17
  • 11. Demo- Services, Labels, Selectors, and Scheduling Pods to Nodes.mp4
    08:43
  • 12. Introducing and Working with Annotations.mp4
    04:12
  • 13. Module Summary and What's Next.mp4
    00:26
  • 01. Introduction, Course, and Module Overview.mp4
    01:15
  • 02. Understanding Pods.mp4
    01:40
  • 03. How Pods Manage Containers.mp4
    00:50
  • 04. Introducing and Working with Single Container Pods and Controllers.mp4
    02:11
  • 05. Introducing and Working Static Pods.mp4
    02:14
  • 06. Working with Pods - kubectl exec, logs, and port-forward.mp4
    02:51
  • 07. Demo- Running Bare Pods and Pods in Controllers.mp4
    06:06
  • 08. Demo- Running Pods and Using kubectl port-forward to access a Pod's Application.mp4
    03:36
  • 09. Demo- Working with Static Pods.mp4
    03:38
  • 10. Introducing and Working with Multi-container Pods.mp4
    05:05
  • 11. Demo- Running Multi-container Pods and Sharing Data Between Containers in a Pod.mp4
    06:02
  • 12. Introducing and Working with Init Containers.mp4
    03:40
  • 13. Demo- Working with Init Containers.mp4
    04:29
  • 14. Pod Lifecycle, Stopping-Terminating Pods, and Persistency of Pods.mp4
    07:35
  • 15. Introducing and Working with Container Restart Policy.mp4
    02:39
  • 16. Demo- Pod Lifecycle and Container Restart Policy.mp4
    08:50
  • 17. Defining Pod Health- livenessProbes, readinessProbes and startupProbes.mp4
    06:23
  • 18. Configuring and Defining Container Probes.mp4
    03:49
  • 19. Demo- Implementing Container Probes - livenessProbes and readinessProbes.mp4
    07:10
  • 20. Demo- Implementing Container Probes - startupProbes.mp4
    04:34
  • 21. Module Summary and Thank You.mp4
    01:07
  • Description


    It's time to dig deeper into Kubernetes. You will learn about its API architecture and its internals, how to organize workloads, and look closely at the primary workload element in Kubernetes, the Pod.

    What You'll Learn?


      It's time to take your Kubernetes admin skills to the next level and dig into how to deploy and manage container-based applications in Kubernetes. In this course, Managing the Kubernetes API Server and Pods, you will gain the ability to deploy, manage, and troubleshoot container-based workloads in Kubernetes. First, you will learn how to use the Kubernetes API and API Server internals. Next, you will discover how to use labels, annotations, and namespaces to organize the largest workloads and how Kubernetes uses labels internally for its own operations. Finally, you will explore how to create, manage, and maintain healthy container-based applications with the primary Kubernetes workload construct, the Pod. When you're finished with this course, you will have the skills and knowledge of creating and maintaining container-based workloads in Kubernetes. This course can also help you prepare for your Certified Kubernetes Administrator (CKA) certification.

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    Anthony Nocentino
    Anthony Nocentino
    Instructor's Courses
    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.
    Pluralsight, LLC is an American privately 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 7,000 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.
    • language english
    • Training sessions 54
    • duration 3:43:54
    • level average
    • Release Date 2023/01/08

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