Overview
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.
Requirements
- Experience with Docker containers
- Familiarity with the Linux command line
- An understanding of networking concepts
Audience
- Software developers
- Architects
- Deployment engineers
Course Outline
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