Deploy a Kubernetes cluster on vSphere with SpectroCloud Palette in this hands-on lab. Learn to integrate, automate, and manage container orchestration in a virtualized environment, empowering IT professionals to modernize enterprise workloads with streamlined deployment techniques.

In this lab environment, you will walk through deploying your own OpenShift 4.11 cluster on vSphere. The deployment method walked through uses the 'Installer-Provisioned Infrastructure' method. Once deployed, use some of our linked use cases or carve your path to experience what OpenShift offers.

This lab introduces Veeam Kasten for Kubernetes, guiding learners through its interface, backup policy creation, and application restoration. Additionally, it explores blueprints and transform sets, equipping users with essential skills for efficient Kubernetes data management.

In this hands-on lab, you'll learn how to set up a disconnected installation of OpenShift, allowing you to deploy and manage OpenShift clusters in environments without direct internet access. You'll begin by downloading the necessary OpenShift components on a connected host, transferring them to a disconnected host, and proceeding with installing OpenShift on bare metal servers using the agent-based installer. By the end of this lab, you'll have a fully functional, disconnected OpenShift cluster. This lab is ideal for users working in secure or isolated environments where external connectivity is restricted or non-existent.

This lab is an experience of an organization who aspires for digital transformation but fails to realize the technical quality and performance required to fulfill an innovative business objective. We'll walk through a scenario of a time-sensitive business strategy, common issues encountered during development and operations of a custom technology platform, then apply procedural adaptations which increase efficiency, security, and reliability for the technical foundation of the business solution.

In this hands-on lab, you will take on an exciting journey into the world of Kubernetes. Whether you are a beginner or have some experience with Kubernetes, this lab will provide you with the opportunity to learn and practice deploying a basic Kubernetes cluster from scratch on a Linux operating system.

Welcome to the Kubernetes Configuration Fundamentals Lab. This is the third lab that is part of a series of labs presented through the Kubernetes Fundamentals Learning Path. This lab will focus on the configuration fundamentals of Kubernetes as it relates to engineers deploying workloads onto an existing Kubernetes cluster.

Helm is a package manager for Kubernetes, making it easy to install, deploy, and manage applications on Kubernetes clusters. Helm offers a number of advantages over traditional methods of installing and deploying applications on Kubernetes, including: Speed and simplicity: Helm charts can be used to install and deploy applications to Kubernetes with a single command. This on-demand lab will teach you how to use Kubernetes Helm to install and manage applications on Kubernetes clusters. You will learn about Helm charts, repositories, releases, upgrades, and rollbacks. By the end of the lab, you will be able to use Helm to install and deploy any application to Kubernetes with ease. Why should you launch this on-demand lab? High demand: There is a high demand for skills in Kubernetes Helm, as it is becoming increasingly popular for installing and managing applications on Kubernetes clusters. Relevance: This lab is relevant to a wide range of professionals, including DevOps engineers, software engineers, and system administrators. Flexibility: The lab is on-demand, so learners can complete it at their own pace and convenience. Comprehensive: The lab covers all aspects of using Kubernetes Helm, from installing charts to managing releases. Practical: The lab is hands-on, so learners will gain practical experience in using Kubernetes Helm. Launching this on-demand lab will provide learners with the skills they need to use Kubernetes Helm to install and manage applications on Kubernetes clusters. This will make them more valuable to their employers and give them a competitive advantage in the job market.

Helm is a package manager for Kubernetes, making it easy to install, deploy, and manage applications on Kubernetes clusters. Helm charts are packages of Kubernetes resources that can be used to install and manage complex applications with a single command. Helm offers a number of advantages over traditional methods of installing and deploying applications on Kubernetes, including: Speed and simplicity: Helm charts can be used to install and deploy applications to Kubernetes with a single command. This can save a significant amount of time and effort, especially for complex applications. Consistency: Helm charts ensure that applications are installed and deployed in a consistent manner, reducing the risk of errors. Version control: Helm charts can be version controlled, making it easy to track changes to applications and roll back to previous versions if necessary. Launching this on-demand lab will provide learners with the skills they need to develop their own Helm packages in order to provide their teams with self-service functionality.

Welcome to the Kubernetes Compute Fundamentals Lab. This is the first lab that is part of a series of labs presented through the Kubernetes Fundamentals Learning Path. This lab will focus on the compute fundamentals of Kubernetes as it relates to engineers deploying workloads onto an existing Kubernetes cluster.

Welcome to the Kubernetes Network Fundamentals Lab. This is the second lab that is part of a series of labs presented through the Kubernetes Fundamentals Learning Path. This lab will focus on the network fundamentals of Kubernetes as it relates to engineers deploying workloads onto an existing Kubernetes cluster.

Welcome to the Kubernetes Storage Fundamentals Lab. This is the fourth lab that is part of a series of labs presented through the Kubernetes Fundamentals Learning Path. This lab will focus on the storage fundamentals of Kubernetes as it relates to engineers deploying workloads onto an existing Kubernetes cluster.