Intermediate Kubernetes Course | DevelopIntelligence

Course Summary

The Intermediate Kubernetes training course targets students with a basic understanding of Kubernetes who want to dive deeper into the details of how Kubernetes is architected, more advanced Kubernetes concepts such as Jobs, DaemonSets and Ingress Controllers, plus the future of Kubernetes container management with the Container Runtime interface and how that relates to Kubernetes relationship with Docker.

The course begins with students participants learning the high level design of Kubernetes as well as the lower level components and how Docker containers (and other container runtimes) fit in. Next the course will dive into Docker’s architecture, how Kubernetes uses Docker to run containers, and how to change Kubernetes to use the Containered Plugin for CRI. The course concludes with students learning the fundamental and most heavily used components required for deploying applications.

Before attending this course, students should take the Introduction to Kubernetes course or be familiar with all of the topics listed here: Introduction to Kubernetes. Cloud Native concepts and distributed systems architecture will be covered during the course.

Purpose

Learn a deeper dive into Kubernetes architecture, concepts, and container management.

Audience

Developers and engineers who need more in-depth knowledge of Kubernetes.

Role

DevOps Engineer - Software Developer - System Administrator

Skill Level

Intermediate

Style

Targeted Topic - Workshops

Duration

3 Days

Related Technologies

Docker

Kubernetes

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Productivity Objectives:

Explain the Docker container core components and architecture.
Identify the use-case behind the Container Runtime Interface (CRI) and Container Networking Interface (CNI) and how this relates to Docker and its components.
Perceive the best practices for secure, resilient, and self-healing Container images that are ready for production on Kubernetes.
Discern the challenges of running cloud native and distributed applications and how Kubernetes addresses these challenges.
Realize the Kubernetes system architecture and components.
Setup a local Kubernetes development environment.
Structure a multi-node Kubernetes cluster on AWS using kops (Kubernetes Ops).
Recognize the fundamental Kubernetes resources used for configuring and deploying containerized applications.
Identify how to supply environment specific configuration and secrets for applications on Kubernetes.
Design and run CI/CD workflows for containerized applications on Kubernetes.

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Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Intermediate Kubernetes training course, you'll learn:

Introduction and Setup
Build and Run Production Quality Containerized Applications
- Multi-Container Python Web Application
- Best Practices for Deployment as a Single Kubernetes Pod
Docker as the Container Runtimes for Kubernetes
- Docker as the Default Container Runtime Engine
- Kubernetes Container Runtime Interface (CRI)
Overview of System Architecture and Components
- Kubernetes Architectural Design
- Top Level Component Communication
- Orchestration and Scheduling
- Kubelet
- Kube-Proxy
The Challenge of Managing Distributed Applications
- Challenges of Running Distributed Systems
- Deployment Plans for WordPress Blogging System
- Design Considerations
Kubernetes Pods
- One or More Containers
- Configuration Options
- Quarantine and Debug
Pod-to-Pod Communication
- Load Balances Across Pods and Nodes
- Externally Exposing Pods Using Kubernetes Services
Containerized Application Configuration
- ConfigMaps
- Secrets
Pod Scaling
- ReplicaSets
- Jobs
- DaemonSets
- Horizontal Pod AutoScaling (HPA)