Kubernetes from Basic to Advanced Training Course

[Day 01]
Introduction

How Docker runs and manages containers

• Images, containers, volumes, networks

Installing Docker

Overview of container orchestration with Kubernetes

Overview of Kubernetes architecture

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

Installing a Kubernetes cluster

Pulling a Docker image from the internet

• Nginx, MongoDB, Tomcat

Creating Kubernetes pods, volumes and deployments

Grouping and organizing your cluster

Using Kubernetes Namespaces to manage different environments

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

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 the impact

Advanced networking

• Docker networking vs Kubernetes networking

Interfacing between network providers and Kubernetes networking

• Best practices for separating services in a cluster
• Comparison of different 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

• Nginx, Tomcat, MongoDB

[Day 02]

Scaling your Kubernetes cluster

Infrastructure for Kubernetes

• Provisioning, partitioning, 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 fixing common Kubernetes issues

Summary and Conclusion