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Kubernetes Operations (CN220) Self-Paced On-Demand
Course Description
Overview
This course centers on developing the skills and knowledge needed for Day-1 Kubernetes operations for managing applications. Using best practices as guiding principles, students will engage in topics pertaining to the Kubernetes architecture to make informed decisions for production workloads. Topics include configuring resource availability for applications, implementing advanced scheduling for applications, and administering user roles and permissions for the Kubernetes cluster. Kubernetes Operations and System Integration teams will benefit greatly as they plan and deploy their Kubernetes production environments.This on-demand course is hosted on an innovative platform that combines multi-disciplinary cutting-edge concepts in education, technology and curriculum development. The following features are included in the course:
- Constructivist approach to learning- i.e “learn by doing.”
- Platform that puts the learner at the center of the experience.
- Gamification in which the learner earns points as levels are completed.
- Learn complex technologies in a fun and interactive environment.
- Lab Guides embedded in UI available in video and doc.
- Optimized search function.
- Earn a Mirantis Badge upon completion.
PLEASE NOTE: The course is valid for 1 year from date of purchase.
This course is one step in the following Learning Journey:
Objectives
Audience
Prerequisites
- CN120 (or equivalent) experience
- Familiarity with the Bash shell: filesystem navigation and manipulation, command line text editors like vim or nano, common tooling like curl, wget and ping
- Familiarity with JSON and YAML notation
Topics
- Review the basic architecture of a Kubernetes cluster
- Install a well-validated HA Kubernetes cluster on a collection of hosts
- Load balance kubectl commands across an HA Kubernetes cluster
- Review how pods are scheduled on worker nodes
- Examine the node selector
- Discuss implementing the impact of taints and tolerations for Kubernetes workloads
- Review both pod and node affinity and anti-affinity
- Discuss releasing updates to applications running on the Kubernetes platform
- Explore native tooling for updating application
- Examine how Helm manages updating applications
- Review the architecture required to achieve high availability for applications
- Discuss best practices for using liveness and readiness probes
- Explore Kubernetes auto-scaling of applications
- Discuss how to prioritizing Kubernetes workloads
- Discuss network routing options within Kubernetes
- Discuss the benefits of the Ingress controller and object
- Examine the Ingress object and controller pattern
- Review available storage options for applications
- Discuss constraints of persistent storage in a standard Kubernetes cluster deployment
- Examine the storageClass object
- Discuss RBAC implementation within Kubernetes
- Examine Kubernetes RBAC components
- Review Auditing within Kubernetes
- Determine how to enable Auditing within a Kubernetes cluster
- Review the the Kubernetes Networking Model
- Discuss how Network Security is managed within the Kubernetes cluster
- Examine managing network security with native and non-native Kubernetes tooling
- Explain the native method of creating Network Policies
- Identify security mechanisms available to security between containers, pods, and the Kubernetes cluster
- Discuss strategies for enabling flexibility within security policy while maintaining security compliance
- Examine how to enable Pod Security Policies
- Discuss multi-tenancy in a Kubernetes cluster
- Examine native Kubernetes objects used for enabling multi-tenancy capability
- Discuss multi-tenancy methods for Kubernetes
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
ONCE YOU PURCHASE THIS EXAM YOU WILL NOT BE ABLE TO CANCEL YOUR ORDER. You are billed for the course after hitting submit. Exams are non-refundable.
The Exam consists of 13 multiple choice and 42 discrete option multiple choice (DOMC) questions in 90 minutes.
- The Exam is designed to validate professionals with a minimum of 6 to 12 months of Docker experience.
- Remotely proctored on your Windows or Mac computer
- Available globally in English
- USD $195 or Euro €200 purchased online
- Results delivered immediately
- Exams can be canceled or rescheduled 48 hours before the scheduled appointment time. Failing to cancel or reschedule within this time will result in forfeiting exam fees.
- Your Certification will be valid for 2 years. You will be required to update your certification every two (2) years.
- In the event that you do not pass a Docker Certification exam, you may retake the exam, subject to the following conditions:
a) wait 14 days from the day you fail to take the exam again.
b) pay the exam price each time you attempt an exam.
For more information:Visit
Exam Terms & Conditions
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