Course Outline


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


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


  • Diagnosing and fixing common Kubernetes issues

Summary and Conclusion


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


  • Software developers
  • Architects
  • Deployment engineers
  14 Hours


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