Modern DevOps with Docker and Kubernetes

CLD-106 (3 Days)

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Kubernetes Training Overview

Kubernetes is an open-source platform for managing, deploying, and scaling application containers. It is compatible with a wide array of container tools, including Docker.

This Docker and Kubernetes training course teaches attendees how to build secure, robust, highly available services that are resilient and able to adapt to rigorous application demands. Students also learn how components of the ecosystem can be combined to create larger systems addressing complex use-cases.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

Kubernetes Training Objectives

All students will:

  • Learn the fundamental uses of container technology and the architectural principles of how to apply containers to technical challenges.
  • Create containers with both packaged solutions and custom software.
  • Use the Docker and Kubernetes CLI environments to deploy solutions in local (Docker) and cluster (Kubernetes) environments.
  • Understand the fundamental Kubernetes resources used for configuring and deploying containerized applications. Understand how to supply environment-specific configuration and secrets for Kubernetes applications.
  • Design and run CI/CD workflows on Docker and Kubernetes using Jenkins and Spinnaker.
  • Learn how stateful services – such as databases, streaming solutions such as Kafka, and other specialty applications such as ElasticSearch – can be deployed in highly-available configurations with redundancy and service-discovery/load-balancing.
  • Show how other components – such as Kafka Connect – can be used to integrate services within the Kubernetes platform.

Kubernetes Training Outline

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Evolving Architectures
  • Microservice Architecture
  • DevOps Primer
  • Cloud Native Practices
  • Implementing Microservices with Docker and Kubernetes
DevOps Tooling
  • Managing software in Linux: apt, yum, apk
  • DevOps Workflows with git
  • Infrastructure Management with Ansible
Docker in Action
  • Docker runtime and architecture
  • Managing containers
  • Docker Container Registry
Continuous Integration Using Docker
  • CI/CD Fundamentals
  • Jenkins
Kubernetes Core Concepts (Quickstart)
  • Pods
  • Labels
  • Controllers
  • Services
  • Secrets
Kubernetes: Beyond Basics
  • Kubernetes Services in-depth
Container Networking In-depth
  • Container Network Fundamentals
  • Container Network Interfaces in Kubernetes
  • Network Traffic in Kubernetes
  • Controlling Application Ingress
Stateful Services
  • Considerations involved in the management of stateful applications
  • Case Study: Kafka, a Big Data streaming solution
  • Lab: Deploy ZooKeeper and Kafka as stateful sets with headless services
Systems Integration
  • Case Study: Building ETL pipelines with Kafka Connect
  • Infrastructure as Code
  • Describing and deploying applications as packages
  • Using Helm to deploy pre-packaged software resources to Kubernetes
Cloud Storage Within Kubernetes
  • Benefits of Storage as a Service
  • MinIO: A Self-Hosted S3 Server
Continuous Deployment
  • Kubernetes CD Systems: Considerations
  • Spinnaker: An Integrated CD Toolkit
Conclusion
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

CLD-106

Duration:

3 Days

Prerequisites:

  • Proficiency with the Linux Command Line Interface (CLI)
  • Broad understanding of Linux system administration: Linux file system, networking, and bash scripting.
  • Understanding of omputer programming concepts and methodologies. Full code examples for the course are provided in the Python and Java programming languages.

Training Materials:

All Kubernetes training students receive comprehensive courseware.

Software Requirements:

  • Docker for Mac/Windows Edge with Kubernetes Enabled.
  • Windows users should install Make.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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