Upon course completion, participants will possess the following competencies

• Demonstrated mastery of Kubernetes terminology
• Comprehensive understanding of Kubernetes cluster architecture
• Proficiency in executing practical directives for navigating the Kubernetes Command-Line Interface (CLI)
• Ability to proficiently prepare and deploy applications
• Competence in ensuring optimal application availability
• Skill in configuring zero-downtime upgrades
• Capacity to scale applications to requisite instance numbers
• Familiarity with delineated patterns governing the deployment of multiple containers within a pod
• Aptitude for strategizing recurring operations within the Kubernetes cluster
• Proficiency in debugging applications within the Kubernetes environment
• Ability to expose applications beyond the Kubernetes cluster
• Ability to leverage Helm charts for streamlined package management on Kubernetes

The training is intended for programmers, system engineers, and architects who want to learn how to properly deploy and manage applications on Kubernetes.

Basic command-line navigation skills are required. In case you bring your own laptop, please ensure that ssh client is installed.

During the training, we will be creating/editing files on the server. Editors such as 'nano' and 'vim' will be available for editing purposes. Additionally, participants will have the option to mount a directory with tasks locally via ssh (e.g., VSCode offers suitable extensions for this purpose) and use their favorite editor from their local machine.

The training is conducted in the form of alternating mini-lectures followed by practical exercises. It combines expert theoretical knowledge with practical examples of its application in the work environment.

2 days, 16 training hours

• Introduction
  • Kubernetes – intro
  • Cloud-Native apps
• First steps
  • CLI for communication with Kubernetes – kubectl
  • Access context to the cluster
  • Basic command syntax and initial steps with kubectl
• Kubernetes cluster architecture
• Fundamental Kubernetes objects
  • YAML syntax
  • Pods
  • Logs and basic monitoring
  • Config Maps / Secrets
  • Multi-container pods
• Application state monitoring
  • Pod lifecycle
  • Readiness, liveness, startup probes
• Controllers
  • Deployment / StatefulSet
  • Rolling update
  • Rollback to previous versions
• Services
• Volumes
  • Ephemeral storage
  • PersistentVolumeClaim
  • PersistentVolume
• Isolation and permissions
  • Namespaces
  • Network policies
  • Security contexts
  • Service accounts
• Jobs, Cronjobs
• Helm
• Operators
  • Intro
  • PostgreSQL example
• Tips & Tricks

First of all, it is recommended to use Kubernetes in practice.

Furthermore, there is potential for expansion in this direction by incorporating Service Mesh and Monitoring/Tracing elements into the curriculum.

• Containerization - Docker, Podman
• Terraform - Automation of creating and managing cloud infrastructure