Course Code

kubernetes

Duration

14 hours (usually 2 days including breaks)

Requirements

Experience with Docker containers
Familiarity with the Linux command line
An understanding of networking concepts

Audience

Software Developers
Architects
Deployment engineers

Overview

Docker is an open-source platform for building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.

In this instructor-led, live training (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

Set up and run a Docker container.
Deploy containerized databases and servers.
Set up a Docker and Kubernetes cluster.
Use Kubernetes to deploy and manage different environments under the same cluster.
Secure, scale and monitor a Kubernetes cluster.

Format of the course

Part lecture, part discussion, exercises and heavy hands-on practice.

Notes

Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
To request specific images or any other customization for this training, please contact us to arrange.

Course Outline

[Day 01]

Introduction

Overview of container orchestration with Kubernetes

Overview of Kubernetes architecture

Pods, labels/selectors, replication controllers, services, API

Installing a Kubernetes cluster

Pulling a Docker image from the internet

Creating Kubernetes pods, volumes and deployments

Grouping and organizing your cluster

Using Kubernetes Namespaces to manage different environments

Managing test, staging, and production environments within the same cluster
Kubernetes Namespaces best practices

Discovering and connecting to containers

Discovering and publishing services

Non-HTTP services (Passive FTP, SMTP, LDAP, etc.)

Kubernetes security

Authentication & authorization

Upgrading a Kubernetes cluster

Minimizing the impact

Advanced networking

Docker networking vs Kubernetes networking

Interfacing between network providers and Kubernetes networking

Best practices for separating services in a cluster
Comparison of different CNI providers (performance, features, etc.)

Monitoring Kubernetes

Cluster logging with Elasticsearch and fluentd
Container level monitoring (cAdvisor UI, Influxdb, Prometheus)

Best Practices for running containerized servers and data stores

[Day 02]

Scaling your Kubernetes cluster

Infrastructure for Kubernetes

Provisioning, partitioning, networking

Building a high-availability cluster

Load balancing and service discovery

Deploying a scalable application

Horizontal pod autoscaling
Database clustering in Kubernetes

Updating your application

Releases in Kubernetes

Troubleshooting

Diagnosing and fixing common Kubernetes issues

Summary and Conclusion

Testimonials

★★★★★

Hands-on exercises to reinforce the concepts.

Josh Bjornson - Leonteq Securities AG

Presentation of knowledge in practice.

Integer Group Services sp. z o.o.

Machine Translated

patience, knowledge and ability to reach participants

Wojciech Rozbicki - Integer Group Services sp. z o.o.

Machine Translated

Good contact with the host, patience and forbearance.

Radosław Łętowski - Integer Group Services sp. z o.o.

Machine Translated

way of transferring knowledge, nice and relaxed atmosphere

Łukasz Morawski - Integer Group Services sp. z o.o.

Machine Translated

The trainer was really good in oral expression.

Oracle

I enjoyed the global concepts about the topic discussed during the training timing.

Oracle

The flexibility on what we covered.

Chris Stent - Volkswagen Financial Services U.K.

Excellent knowledge and experience of Kubernetes and how to get the best out of it and to work with Docker. For me personally, although Docker experience was a pre-requisite, I found that Kamil really helped me embed that knowledge with real examples.

Tim Ebbs - Volkswagen Financial Services U.K.

I generally was benefit from the there were lots of exercices.

Volkswagen Financial Services U.K.

just getting a good intro to Kubernetes

Applied Systems, Inc.

new topic - always good to learn something new

Michael Legg - Applied Systems, Inc.

Trainer was very knowledgeable and engaged in answering questions and troubleshooting issues that came up for everyone.

Applied Systems, Inc.

labs and doubts clarification

venkata velpuri - Charter Communications INC

Handson training.