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Kubernetes & OpenShift Training

  • Training Duration:
  • 3 Days
  • Training Environment:
  • On-site at the Institution
  • In DVA Classrooms
  • Online
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About the Training

Kubernetes & OpenShift Training

The “Kubernetes and OpenShift Training” provides comprehensive education on Kubernetes and OpenShift. This training covers essential topics required for the design and development of applications based on Kubernetes and OpenShift.

The training teaches the principles of Kubernetes and OpenShift, including data management, fault tolerance, scaling, and other key concepts. Participants enhance their knowledge of Kubernetes and OpenShift through real-life examples and projects.

Additionally, the training teaches which tools and technologies can be used in designing and developing applications based on Kubernetes and OpenShift. Participants learn how to manage features such as big data processing, real-time analytics, fault tolerance, and more. They also understand how to design and manage applications based on Kubernetes and OpenShift.

The “Kubernetes and OpenShift Training” covers the entire process of designing and developing applications based on Kubernetes and OpenShift. Participants acquire the fundamental skills needed before starting to design and develop modern applications. The training facilitates learning through examples, practical applications, and projects, helping participants begin designing and developing applications based on Kubernetes and OpenShift.

The training program begins with the basics of Kubernetes and OpenShift. Participants learn fundamental concepts such as data management, scaling, and fault tolerance. They also gain insight into the role Kubernetes and OpenShift play in designing and managing modern applications. This knowledge forms the basic building blocks participants will need in the application design and development process.

The training focuses on Kubernetes and OpenShift and their core features and components. This equips participants with capabilities like real-time data processing, big data streaming, and fault tolerance. Topics such as data management and managing scalable systems are covered.

Finally, the training provides information on how to develop an application based on Kubernetes and OpenShift. This process includes conducting final tests of the application, managing data, and ultimately developing the application based on Kubernetes and OpenShift. This knowledge helps participants successfully design and develop their applications based on Kubernetes and OpenShift.

What Will You Learn?

During the Kubernetes and OpenShift training, you will learn the following topics:
  • Fundamental knowledge about container technologies and container orchestration
  • Kubernetes and OpenShift terminology and concepts
  • Application configuration and deployment
  • Creating and managing clusters
  • Application updates and rollback processes
  • Configuring storage and network access
  • Optimizing application performance and security
  • Application debugging and logging
  • Tools and plugins available within the Kubernetes and OpenShift ecosystem
  • Connecting applications to databases and other systems
  • Application security
  • Scaling and auto-configuring applications
Within this framework, in addition to theoretical knowledge, practical, hands-on exercises can also be conducted. This way, you can better understand and apply the topics you have learned.

Prerequisites

The prerequisites for the Kubernetes and OpenShift training may include:
  • Programming Languages: It is expected that individuals interested in the training are proficient in at least one programming language.
  • Linux and/or Unix Knowledge: Since Kubernetes and OpenShift platforms are based on Linux, having a basic understanding of Linux and/or Unix systems can be beneficial.
  • Network and System Administration Knowledge: Knowledge about the network and system requirements of applications can help you better understand Kubernetes and OpenShift training.
  • Docker Knowledge: Since Kubernetes and OpenShift platforms use container technology, having a basic understanding of Docker can be useful.
These prerequisites do not apply to all training programs and are subject to the requirements set by the training provider. However, this knowledge can help you better understand Kubernetes and OpenShift platforms and make the training more effective.

Who Should Attend?

The Kubernetes and OpenShift training may be suitable for the following individuals:
  • System Administrators: System administrators who want to gain knowledge about creating, managing, and running clusters on Kubernetes and OpenShift platforms can benefit from this training.
  • DevOps Professionals: DevOps professionals looking to optimize application deployment using DevOps principles and container technology may find this training beneficial.
  • Developers: Developers who wish to deploy and manage their applications on Kubernetes and OpenShift platforms can take this training.
  • IT Project Participants: Individuals involved in IT projects can learn how to utilize Kubernetes and OpenShift platforms through this training and apply this knowledge to their projects.
The suitability of the training may vary depending on the individual’s industry, profession, and current knowledge level. Anyone interested in gaining more knowledge about Kubernetes and OpenShift platforms can take this training.

Outline

DAY 1
  • Introduction to Container Orchestration, Terminology, and History
  • Introduction to Kubernetes
  • Kubernetes Installation Alternatives for Windows/macOS (Minikube, Docker for Windows)
  • Setting up a Kubernetes Cluster on a Linux Server using kubeadm
  • Examination of Kubernetes Components and Architecture
  • Overview of Kubernetes Objects (pods, deployments, services, etc.)
  • Deploying a Containerized Application with Kubernetes
  • Explanation of Pod Lifecycle
  • Examination of Kubernetes Secrets
  • Workshop
DAY 2
  • Service Discovery with Kubernetes
  • Kubernetes Service Types (Cluster IP, NodePort, and Load Balancer)
  • Ingress Controller
  • High Availability Scenarios (Affinity, Anti-Affinity Filters)
  • Kubernetes Networking Infrastructure
  • Horizontal Pod Autoscaling
  • Enterprise Use Cases – RBAC (Role-Based Access Control)
  • Cluster Maintenance and Debugging
  • Helm Chart
  • Kubernetes Operator
  • Metric Collection (Prometheus) and Visualization (Grafana)
DAY 3
  • Introduction to OpenShift
  • OpenShift Installation on Windows/macOS (MiniShift)
  • Setting up an OpenShift Cluster on a Linux Server
  • OpenShift Cluster Architecture
  • Metric Collection and Visualization
  • Deploying an Application Built with Kubernetes on OpenShift
  • Storage Management
  • Network Management
  • High Availability Scenarios
  • Autoscaling

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