Kubernetes Operations Course Overview

Kubernetes Operations Course Overview

The Kubernetes Operations course is designed to provide learners with an in-depth understanding of how to operate and manage a Kubernetes environment effectively. Through a series of modules, participants will explore a range of topics, from setting up a high-availability Kubernetes cluster to securing application workloads and implementing multi-tenancy.

Learners will gain practical knowledge on managing application deployment, releasing application updates, and ensuring application high availability. The course emphasizes best practices for network traffic routing, scaling applications, and provisioning storage efficiently.

In addition, the course delves into the security aspects of Kubernetes, discussing the implementation of Role-Based Access Control (RBAC), network security, and securing application workloads. It also covers the challenges related to multi-tenancy in Kubernetes and provides solutions for those challenges.

By the end of the course, participants will be equipped with the necessary skills to maintain a robust, secure, and efficient Kubernetes environment, making them valuable assets in any organization leveraging container orchestration for their applications.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that participants can successfully undertake the Kubernetes Operations course offered by Koenig Solutions, the following minimum prerequisites are recommended:


  • Basic understanding of Linux command line and Linux operating systems.
  • Familiarity with basic networking concepts and protocols such as TCP/IP.
  • Fundamental knowledge of cloud computing and the services provided by cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Awareness of the concepts of containerization and the role of Docker in the container ecosystem.
  • Basic understanding of YAML syntax, as Kubernetes manifests and configurations are often written in this format.
  • An introductory level of knowledge about DevOps principles and practices.

These prerequisites are designed to establish a foundation that will allow students to more effectively absorb the course material and participate in hands-on lab exercises. It's important for learners to have a conceptual understanding of these areas to maximize the benefits of the Kubernetes Operations course.


Target Audience for Kubernetes Operations

The Kubernetes Operations course by Koenig Solutions covers HA cluster setup, application deployment, updates, security, and multi-tenancy.


  • DevOps Engineers
  • Systems Administrators
  • Cloud Engineers
  • Site Reliability Engineers (SREs)
  • Software Developers with interest in deployment and infrastructure management
  • IT Professionals involved in the deployment, scaling, and operations of Kubernetes
  • Infrastructure Architects
  • Security Specialists focused on containerization
  • Technical Leads managing Kubernetes environments
  • Product Managers who need to understand the Kubernetes workflow
  • Operations Staff responsible for maintaining Kubernetes clusters
  • Technical Project Managers overseeing application development and deployment


Learning Objectives - What you will Learn in this Kubernetes Operations?

Introduction to Learning Outcomes:

Gain expertise in Kubernetes Operations, mastering high availability, application management, update rollouts, network traffic routing, persistent storage provisioning, security, and multi-tenancy strategies.

Learning Objectives and Outcomes:

  • Understand and implement high availability (HA) for Kubernetes clusters, ensuring resilience and stability.
  • Manage and optimize application deployment using Kubernetes scheduling features such as node selectors, taints, tolerations, and affinity rules.
  • Skillfully release application updates with Kubernetes native tools and Helm, minimizing downtime and ensuring smooth transitions.
  • Ensure application high availability with best practices for liveness and readiness probes, and leverage auto-scaling to meet demand.
  • Route network traffic efficiently within Kubernetes using Ingress controllers and objects, optimizing connectivity and service exposure.
  • Provision and manage persistent storage options, understanding the role and configuration of the storageClass object.
  • Implement Role-Based Access Control (RBAC) to maintain secure Kubernetes environments, and enable auditing to track cluster activities.
  • Manage Kubernetes network security, learning to apply and create network policies using native and third-party tools.
  • Secure application workloads through container and pod security mechanisms, and enforce security policies while maintaining operational flexibility.
  • Design and manage a multi-tenant Kubernetes cluster, using Kubernetes native objects and best practices to isolate and manage resources effectively.