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Course Outline

Introduction

Setting up the Kubernetes Cluster

Infrastructure for Kubernetes

  • Provisioning, partitioning, and networking
  • Key considerations when scaling a Kubernetes Cluster

Building in High-Availability

  • Load Balancing and Service Discovery

Deploying a Scalable Application

  • Horizontal Pod Autoscaling
  • Database clustering within Kubernetes

Securing the Application

  • Authentication mechanisms
  • Authorization protocols

Updating the Application

  • Package Management strategies
  • Managing Releases in Kubernetes

Maintenance

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

Troubleshooting

  • Diagnosing and resolving common Kubernetes issues

Summary and Conclusion

Requirements

  • Prior experience with Docker containers
  • Familiarity with the Linux command line interface
  • A foundational understanding of networking concepts

Audience

  • Software developers
  • Architects
  • Deployment engineers
     
 21 Hours

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