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Course Outline

Introduction

Overview of container orchestration using Kubernetes

Overview of Kubernetes architecture

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

Installing a Kubernetes cluster

Retrieving a Docker image 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 exposing services

  • Non-HTTP services (Passive FTP, SMTP, LDAP, etc.)

Kubernetes security

  • Authentication and authorization

Upgrading a Kubernetes cluster

  • Minimizing impact during upgrades

Advanced networking

  • Docker networking versus Kubernetes networking

Integrating network providers with Kubernetes networking

  • Best practices for isolating services within 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 considerations 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

  • Managing releases in Kubernetes

Troubleshooting

  • Diagnosing and resolving common Kubernetes issues

Summary and Conclusion

Requirements

  • Practical experience with Docker containers
  • Proficiency with the Linux command line
  • A solid grasp of networking concepts

Target Audience

  • Software Developers
  • Architects
  • Deployment Engineers
 14 Hours

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