Kubernetes Training

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Kubernetes Deep Dive

This 4-day training course covers the fundamentals needed to understand Kubernetes and the skills required to handle both Day 1 (deployment) and Day 2 (operations) tasks for managing Kubernetes clusters.

Day 1 is dedicated to using an existing Kubernetes cluster for managing containerized workloads. On days 2 and 3, attendees will provision a public cloud infrastructure and deploy their own Kubernetes clusters from scratch to it. There are many tools available to deploy Kubernetes, but in this course, we will do everything manually to understand the underlying mechanics. Finally, on day 4, students will operate the deployed Kubernetes cluster, including troubleshooting, upgrades, fault tolerance, monitoring, centralized logging, and other tasks an operator may face on a day-to-day basis.

Day 1

Topic	Description
Creating and running containers	Creating a custom image Exposing ports Mapping volumes Docker networking
Installing a Kubernetes Cluster on Google Cloud Platform (GCP) with Kubernetes Operations (kops)	Deploy kubernetes to GCP Identify resources that have been created
Pods	Launch a pod using the container image Launch a pod using the configuration file Deploy a pod from custom image Limit pod resources
Health Checks	Deploy a pod with a health check Use readiness probe Create health check for nginx pod Create health check using TCP sockets
Deployments	Create a deployment Observe how kubernetes restarts containers Clean-up
Labels and Selectors	Labels in pods Using Selectors

Day 2

Topic	Description
Services	Deploying PHP Guestbook application with Redis Investigate source code of the sample Manually connect to redis from app pod Blue green deployment Cleanup
Secrets and ConfigMaps	Storing secrets in k8s Access secrets from environment variables Use config maps
Volumes and Data	Deploying WordPress and MySQL with Persistent Volumes Static persistent volume provisioning Observe how persistent volume is reattached Cleanup
Stateful Sets	Deploying Cassandra with Stateful Sets Scale Cleanup
Ingress	Deploy sample app using ingress Specify app host Use TLS
Namespaces and RBAC	Use namespaces Use RBAC Namespace resource limits Assign the default view cluster role to a user and try to deploy a pod

Day 3

Topic	Description
Kubelet	Investigate kubelet Run a static pod
API Server	Manually access kubernetes API Deploy a pod using API
Etcd	Manually access etcd Backup etcd
Scheduler	Disabling the scheduler Manually schedule a pod
Manage infrastructure using terraform	Manually deploy new cluster using terraform Advanced cluster troubleshooting
Networking	Installing Kubernetes Addons Track iptables changes while re-deploying the service

Day 4

Topic	Description
Configuration Updates and Dashboards	Installing the Kubernetes Dashboard Addon Using kops to change the cluster configuration Deploy a Highly Available Cluster Add Heapster metrics to the Kubernetes Dashboard
Helm	Use helm to deploy prometheus Use helm -h to figure out how to do the following
Logging	Installing the Kubernetes elasticsearch logging add-on Setup a Kibana Dashboard for Kube-System
Monitoring	Deploy a new application and configure for monitoring Alerting
Federated Clusters	Create federated cluster Deploy a multi cloud application

The target audience are the operators and DevOps engineers who are planning to bootstrap and operate fault tolerant Kubernetes clusters in production.

The course is intended to onboard operators and DevOps engineers to the Kubernetes platform, providing the students with::

An understanding of how Kubernetes handles container-based distributed workloads.
Practical skills required to spin up a Kubernetes cluster.
The experience required to successfully operate and manage Kubernetes clusters.

A laptop with:

An SSH terminal client (like ssh or Putty)
A tool to transfer files over SSH (like scp)
A web browser (Chrome/Firefox)
Internet connection (outgoing connections on TCP ports 22, 80, 8080 and 443)
Access to the Google Cloud Platform and Google Cloud Console

At the end of the training, attendees will understand how everything fits together to run distributed applications in Kubernetes and learn how to start designing and operating application orchestration solutions

Running distributed applications in Kubernetes:

Deploying a Kubernetes cluster

Set up the prerequisites
Provision infrastructure on GCP
Generate certificates and configuration files
Deploy Kubernetes master nodes
Deploy Kubernetes worker nodes
Post-installation tasks
Verify cluster setup
Day summary

Operating a Kubernetes cluster

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Public class in Los Angeles is not set yet. Please see nearby locations or email us at training@altoros.com to request training in Los Angeles or in your company.