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CN212: Mirantis Kubernetes Engine (MKE) Course Overview

CN212: Mirantis Kubernetes Engine (MKE) Course Overview

In this product-focused course, you’ll deep dive into all the features of Mirantis Kubernetes Engine, and discover how it simplifies, secures and accelerates Kubernetes and Swarm cluster management at enterprise scale. We’ll discuss installing and configuring MKE, managing MKE user permissions and orchestrator resources, and advanced networking features included in the platform, as well as MKE troubleshooting and support.

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  • Live Training (Duration : 8 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Course Prerequisites

To ensure that you gain the maximum benefit from your training in the Mirantis Kubernetes Engine (MKE) course, we recommend that you possess the following minimum prerequisites:

 

  • Basic understanding of Docker and containerization technology.
  • Familiarity with the Linux operating system and command-line interface (CLI).
  • Knowledge of basic network concepts (e.g., IP addressing, HTTP/HTTPS, load balancers).
  • Experience with managing applications in a distributed environment.
  • Some exposure to cloud computing and virtualization principles.

 

These prerequisites are intended to provide a foundation that will help you to more easily grasp the concepts and practical skills taught in the MKE course. If you feel you need to strengthen your background in these areas, we offer introductory courses that can help you prepare for the MKE training.

RoadMaps

Roadmaps

Target Audience for Mirantis Kubernetes Engine (MKE)

The Mirantis Kubernetes Engine (MKE) course is designed for IT professionals seeking expertise in deploying and managing containerized applications.

  • DevOps Engineers
  • Systems Administrators
  • Cloud Infrastructure Engineers
  • Software Developers familiar with container technologies
  • Site Reliability Engineers (SREs)
  • IT Project Managers with a focus on DevOps practices
  • Technical Architects planning container-based infrastructure
  • Security Engineers focusing on containerized application deployment
  • Network Engineers interested in L7 networking features
  • Support Engineers and Technical Support Staff specializing in MKE
  • IT Professionals responsible for disaster recovery planning and implementation

Learning Objectives - What you will Learn in this Mirantis Kubernetes Engine (MKE)?

Introduction to the Course’s Learning Outcomes and Concepts

The Mirantis Kubernetes Engine (MKE) course offers an in-depth understanding of MKE architecture, access control, networking, support, and troubleshooting techniques for robust container orchestration.

Learning Objectives and Outcomes

  • Gain comprehensive knowledge of production-grade deployment patterns for MKE to ensure scalable and reliable container orchestration.
  • Understand the containerized components of MKE and how they interact within the system.
  • Learn the networking prerequisites and system requirements to deploy MKE effectively in a high-availability setup.
  • Master the installation process of MKE using Launchpad, focusing on best practices for high availability.
  • Delve into MKE Role-Based Access Control (RBAC) systems to manage permissions securely and efficiently.
  • Explore Public Key Infrastructure (PKI), client bundles, and API authentication mechanisms for secure access control.
  • Compare and contrast Swarm and Kubernetes access control models to understand their unique security features.
  • Understand Layer 7 (L7) networking features including Interlock for Swarm and Istio for Kubernetes, and their usage in advanced deployment strategies.
  • Acquire skills to generate, analyze, and interpret MKE support dumps for effective troubleshooting.
  • Learn to enable and export API audit logs to facilitate a thorough postmortem in the event of a disaster.
  • Develop the ability to correlate MKE symptoms with specific components for targeted troubleshooting.
  • Practice probing and interpreting MKE state databases to maintain system integrity and performance.
  • Learn the procedures for recovering failed MKE managers, ensuring minimal downtime.
  • Get equipped with knowledge on MKE backups, restoration, and disaster recovery processes to safeguard against critical failures.
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