Kubernetes Advanced

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

Audience

• Software developers
• Architects
• Deployment engineers
   

This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster.

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

• Use Kubernetes to deploy and manage different environments under the same cluster
• Secure, scale and monitor a Kubernetes cluster

Format of the Course

• Interactive lecture and discussion
• Lots of exercises and practice
• Hands-on implementation in a live-lab environment

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Setting up the Kubernetes Cluster

Infrastructure for Kubernetes

• Provisioning, partitioning, networking
• Considerations for scaling a Kubernetes Cluster

Building in High-Availability

• Load Balancing and Service Discovery

Deploying a Scalable Application

• Horizontal Pod Autoscaling
• Database clustering in Kubernetes

Securing the Application

• Authentication
• Authorization

Updating the Application

• Package Management
• Releases in Kubernetes

Maintainance

• Logging with Fluentd (optional)
• Monitoring with Elastic Stack (ELK) (optional)
• Scheduling with Cronjob

Troubleshooting

• Diagnosing and fixing common Kubernetes issues

Summary and Conclusion