Course Code
kubernetesbaremetal
Duration
21 hours (usually 3 days including breaks)
Requirements
- An understanding of networking.
- Experience with the Linux command line.
- Software development experience.
Audience
- Developers
- System administrators
Overview
Developing software inside containers such as Docker, then orchestrating the containers in a Kubernetes cluster has been a popular approach in recent years. Virtual machines (VMs) have been the systems of choice for running Kubernetes cluster hosts and nodes. Unfortunately, the overhead created by virtual machines and their host hypervisors can create unacceptable latency in applications that require maximum performance. The solution: add a single-tenant physical server (bare metal server) to the cluster.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to implement a Kubernetes cluster across both VMs and bare metal servers.
By the end of this training, participants will be able to:
- Install and configure Kubernetes on a bare metal server.
- Integrate the processing power of Kubernetes nodes that run on both VMs and bare metal servers.
- Maximize the performance of an application by giving it direct access to a server's hardware.
- Leverage hardware accelerators such as GPUs, to further maximize application performance.
- Scale a Kubernetes cluster to accommodate the most demanding needs in applications such as Machine Learning and AI.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
- On-premise vs cloud
- Bare metal vs virtual machine
Technology Overview
- Kubernetes Features and Architecture
- Bare Metal Servers and Infrastructure
Preparing a Bare Metal Server
- Choosing an OS (Ubuntu, CentOS, etc.)
- Configuring the OS (Swap, nftables, etc.)
- Configuring the Firewall
Preparing Containers
- Setting up Docker
- Setting up the Cgroup Driver
Preparing Kubernetes Cluster
- Installing Kubernetes
- Setting up kubelet, kubeadm and kubectl
Running Kubernetes
- Initializing Kubernetes
- Creating a Directory for the Kubernetes Cluster
- Installing Flannel to Enable Pods to Communicate
Deploying a Containerized Application
- Preparing a Sample Application
- Deploying the Application
- Monitoring the Application
Scaling Kubernetes
- Connecting Worker Nodes to the Cluster
- Optimizing the Containers
Troubleshooting
Summary and Conclusion
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