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Advanced Kubernetes Course Overview

Advanced Kubernetes Course Overview

The Advanced Kubernetes course is designed to deepen learners' expertise in Orchestrating containerized applications using Kubernetes, focusing on advanced concepts and best practices. Throughout the course, participants will gain hands-on experience with complex Kubernetes features and tools.

Module 1 lays the foundation with the installation and configuration of a Kubernetes cluster, including the setup of ETCD clusters, Control plane components, Worker nodes, and kubectl configuration. This is critical for understanding the underlying architecture of a highly available Kubernetes setup.

Module 2 revisits the essentials of managing resources such as Pods, Services, and Deployments, essential for maintaining applications in a Kubernetes cluster.

In Module 3, storage solutions are explored, including Storage classes and Persistent volumes, which are crucial for stateful applications.

Module 4 focuses on managing stateful applications using StatefulSets, which is a key component of Kubernetes' advanced concepts.

Module 5 covers Logging and monitoring, essential for maintaining the reliability and efficiency of a Kubernetes cluster.

Module 6 delves into the networking aspect of Kubernetes, including DNS management, Ingress, and Load balancing, which are fundamental for application accessibility.

Module 7 introduces Helm, a package manager that simplifies the deployment of applications on Kubernetes.

Finally, Module 8 educates learners on Istio service mesh, which provides advanced Traffic management capabilities and observability into microservices.

This course is instrumental for professionals aiming to master advanced Kubernetes techniques, ensuring they are equipped to design, deploy, and manage complex Kubernetes ecosystems efficiently.
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Course Prerequisites

To ensure that participants are well-prepared for the Advanced Kubernetes course and can fully benefit from its content, the following prerequisites are considered essential:


  • Fundamental understanding of containerization concepts and technologies, particularly Docker.
  • Basic knowledge of Linux/Unix command-line operations and familiarity with shell scripting.
  • Prior experience with using Kubernetes, including the understanding of core components such as pods, services, deployments, and the ability to perform basic operations within a Kubernetes cluster.
  • Familiarity with YAML syntax, as it is commonly used for defining Kubernetes objects and configurations.
  • Basic understanding of networking concepts, including TCP/IP, DNS, and load balancing.
  • Experience with a text editor (such as Vim, Nano, or Visual Studio Code) for editing configuration and definition files.

These prerequisites are designed to ensure a smooth learning experience and the ability to engage with the course material effectively. They are not meant to discourage interested learners but to set a foundation that will help them succeed in mastering advanced Kubernetes topics.


Advanced DevOps Tools - Git, Ansible, Kubernetes on baremetal and Azure, CI/CD with Jenkins
Advanced Docker Concepts and Container Orchestration
AKS with Basic Linux Fundamentals and Docker
Architecting with Google Kubernetes Engine
Certified Kubernetes Security Specialist (CKS)
Kubernetes Boot Camp (CKA + CKAD + CKS)
Kubernetes Security and CI/CD
Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)
Advanced Kubernetes
Kubernetes Security and CI/CD
Kubernetes storage expert

Target Audience for Advanced Kubernetes

The Advanced Kubernetes course by Koenig Solutions is tailored for IT professionals aiming to master orchestration and management of containerized applications.


  • DevOps Engineers
  • System Administrators
  • Cloud Engineers
  • Software Developers with a focus on microservices architecture
  • IT Project Managers overseeing containerization projects
  • Site Reliability Engineers (SREs)
  • Technical Leads responsible for maintaining high-availability systems
  • Infrastructure Architects designing scalable cloud solutions
  • Application Developers looking to understand the deployment environment
  • Security Professionals involved in container security
  • Network Engineers interested in Kubernetes networking aspects
  • Technical Support Specialists seeking to enhance their troubleshooting skills
  • IT Professionals preparing for Kubernetes certification exams


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

Introduction to the Course's Learning Outcomes:

Gain in-depth knowledge of Kubernetes' architecture, installation, and configuration, and master advanced features like storage, networking, and application deployment to effectively manage containerized applications at scale.

Learning Objectives and Outcomes:

  • Design a highly available and scalable Kubernetes cluster tailored to specific organizational requirements.
  • Install and configure Kubernetes components "the hard way" to deepen understanding of system internals.
  • Bootstrap and manage an ETCD cluster, ensuring a robust and reliable data store for your Kubernetes cluster.
  • Establish a secure and efficient Kubernetes Control Plane for cluster management tasks.
  • Configure Kubernetes worker nodes to enable seamless pod scheduling and execution.
  • Gain proficiency in using kubectl, the Kubernetes command-line tool, for cluster operations.
  • Validate Kubernetes installation to ensure all components are functioning correctly and securely.
  • Manage Kubernetes resources, including pods, services, deployments, and DaemonSets, to maintain application availability and scaling.
  • Implement persistent storage solutions within Kubernetes, allowing stateful applications to operate reliably.
  • Leverage Helm to streamline the deployment and management of applications on Kubernetes, including chart creation and version control.
  • Understand and apply advanced networking concepts, including CoreDNS customization and Ingress controllers, to facilitate cluster communication.
  • Monitor cluster health and application performance using tools like Prometheus, Elasticsearch, and Kibana.
  • Learn to configure and manage StatefulSets for applications that require stable identity and persistent storage.
  • Deploy and manage service mesh architecture using Istio, enhancing microservices communication, monitoring, and security within the Kubernetes environment.

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