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Course Outline

Introduction

Overview of container orchestration with Kubernetes

Kubernetes architecture overview

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

Installing a Kubernetes cluster

Pulling Docker images from the internet

Creating Kubernetes pods, volumes, and deployments

Grouping and organizing your cluster

Utilizing Kubernetes Namespaces to manage different environments

  • Managing test, staging, and production environments within the same cluster
  • Best practices for Kubernetes Namespaces

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 impact during upgrades

Advanced networking

  • Docker networking versus Kubernetes networking

Interfacing between network providers and Kubernetes networking

  • Best practices for service separation in a cluster
  • Comparison of various 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

Scaling your Kubernetes cluster

Infrastructure for Kubernetes

  • Provisioning, partitioning, and 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 resolving common Kubernetes issues

Summary and Conclusion

Requirements

  • Practical experience with Docker containers.
  • Familiarity with the Linux command line interface.
  • Understanding of fundamental networking concepts.

Target Audience

  • Software Developers
  • Architects
  • Deployment Engineers
 14 Hours

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