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.
