Kubernetes Advanced Course

Course description:

Kubernetes Advanced course covers some advanced topics that become relevant when using Kubernetes to orchestrate application at scale, in the data center or in the cloud.

The course continues the Kubernetes Fundamentals course with presenting some more advanced Kubernetes resources like: Job, CronJob, Daemoset, ConfigMap and Secrets. It also covers the Ingress Resources alongside with the Ingress Controller. Helm is a widely used package manager for installing, upgrading and managing Kubernetes applications and the students will have the chance to understand the concepts and use it.

Next, the course covers the basic concepts of Kubernetes Security and RBAC mechanism.
In the end, the Kubernetes Advanced course covers 2 major topics that should be part of every Kubernetes cluster: Centralized Logging and Monitoring.
The students will be able to see how centralized logging can be achieved by using ELK stack and also monitoring by using Prometheus and Grafana dashboards.

Target audience:

• DevOps engineers
• Linux system administrators
• Systems design engineers
• Architects

Prerequisites for Kubernetes Advanced Course:

• Basic knowledge of Kubernetes terminology (nodes, pods, resources)
• Interacting with a Kubernetes cluster via the command line (kubectl)
• Resource primitives (nodes, pods, replicasets, deployments, etc)
• Recommended training: Kubernetes Fundamentals course

Information about the Kubernetes Advanced certification:

This course is designed to prepare for the exam certification in order to become a certified Professional Deploy & Ops Engineer.

Course module structure

Module 1: Daemon Sets. CronJobs. Secrets. ConfigMaps
– CronJobs – running tasks periodically
– ConfigMaps – deploying reusable applications
– Secrets – passing around sensitive information
– DaemonSets – pods on every node
Hands-on Lab: DaemonSets. CronJobs. ConfigMaps

Module 2: Ingresses. The Nginx Ingress Controller
– Ingress Controller
– Ingress Operation
– Deploying the ingress Controller
– Ingress Resource
– Path Manipulation
Hands-on Lab: Ingress

Module 3: The Kubernetes Dashboard. Helm – The Kubernetes Package Manager
– Installing the Kubernetes Dashboad
– Connecting to the dashboard using Kubectl proxy, NodePort and External auth proxy
– Dashboard User
– Helm Overview
– Helm Components
– Installing Helm
– Helm commands and usage examples
Hands-on Lab: Kubernetes Dashboard. Helm

Module 4: Security. Role-Based Access Control
– Identity and Access Management
– Service Accounts
– User Management
– RBAC Terminology Explained
– Role Scoping
Hands-on Lab: Security. RBAC

Module 5: Working with Logs. Centralized Logging – Elastic Stack
– Kubernetes Logging
– Centralized logging with Elastic Stack
Hands-on Lab: Logging

Module 6: Monitoring. Prometheus/Grafana
– Kubernetes metrics
– Metrics Terminology
– Collecting metrics
– Using Prometheus for monitoring
– Deploying Prometheus
– Using Grafana for time series analytics
– Grafana + Prometheus
– Using Elastic Stack for monitoring
Hands-on Lab: Monitoring

Module 7: Advanced Pod Scheduling
– nodeName and nodeSelector
– Affinity and Anti-Affinity
– Terms and Expressions
– Node Affinity Operations
– Taints and Tolerations
– Cordon and Drain
– Resource Control
– Requests and Limits
Hands-on Lab: Advanced Pod Scheduling

Note:

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

€ 840

DURATION: 2 days
SKILL LEVEL: Professional
LECTURES: 7 lessons