Course Description

Learn or consolidate Kubernetes concepts. These modules cover the architecture, concepts, and design choices of Kubernetes; as well as hands-on knowledge to interact with the container platform, deploy microservices and do basic scaling.

The 4 first days dive deeper into the foundations whereas day 5 covers more advanced concepts like RBAC (fine-grain permission management) and capacity management with requests and limits

Course Structure and Lab Environment

Each day is organized as follows:

• 2 hours of instructor-led training (11 am - 1 pm EDT)
• 1 hour of break
• 2 hours of instructor-led training (2 pm - 4 pm EDT)
• Hands-on labs and exercises (after 4 pm EDT)

Each student gets their own individual environments for the hands-on labs. During the hands-on labs, the instructors are available to provide 1:1 help to the students if necessary.

Exercises and hands-on labs include:

Day 1: Running a multi-tier sample app on Kubernetes, including Python, Ruby, and Node microservices

Day 2: Setting up a local Kubernetes cluster, running apps on that cluster, writing YAML manifests

Day 3: Adding healthchecks to applications, manipulating load balancing with labels and selectors

Day 4: Deploying and configuring an ingress controller using Helm charts

Day 5: No hands-on lab this day since we will be covering advanced concepts

Course Outline

Day 1

K8s Architecture

• Overview of Kubernetes features
• Control plane, worker nodes
• The kubectl CLI
• Core resources: Nodes, Pods, Services

Building Images

• From Pods to Deployments
• Viewing container logs
• Kubernetes networking model
• Exposing workloads with Services
• ClusterIP, NodePort, LoadBalancer

Day 2

Managing Resources

• Annotations and labels
• Resource selectors
• Aggregating logs
• Organizing resources with namespaces
• Using YAML manifests
• Imperative CLI, declarative API

Local & Remote Clusters

• Configurations and contexts
• Accessing internal services
• Review of local Kubernetes distributions

Day 3

Scaling

• Deployments and Replica Sets
• Daemon Sets
• Service selectors and load balancing
• Load balancing with labels

Rollouts, Healthchecks

• Upgrading a Deployment
• Upgrade strategies
• Healthchecks
• Readiness, liveness, startup probes

Day 4

Configuring Apps

• Pod volumes
• The downward API
• ConfigMaps and Secrets
• Reconfiguration strategies

Helm, in a Nutshell

• Discovering and installing Helm charts

Kubernetes Ingress

• Handling inbound HTTP traffic
• Ingress resources and IngressClasses
• Installing Traefik/NGINX ingress controller

Day 5

Auth’n & Auth’z

• Authentication mechanisms
• Certificates and tokens
• Users and Service Accounts
• Role-Based Access Control

Capacity Management

• CPU and RAM requests and limits
• LimitRanges and ResourceQuotas
• Viewing resource usage

Important: Instructions to view the recording will be sent upon completion of each session.