Kubernetes
 
Whether you're utilizing AWS, Azure, or GCP, Kubernetes offers a versatile solution for migrating your services to the cloud in a platform-agnostic manner. As an open-source container orchestration system, Kubernetes architecture streamlines the automation and management of tasks within Linux-based containers. While developers rely on these containers to execute tasks efficiently, orchestrating their lifecycle demands a robust system.

This course guides you from the basics to deploying a containerized application and manipulating resources via the API. You'll delve into containerization, hosting, deployment, and configuration within a multi-node cluster environment. Starting with a simple Python script, you'll define application resources and utilize core primitives to construct, monitor, and troubleshoot scalable applications in Kubernetes. Covering network plugins, security measures, and cloud storage, you'll gain exposure to essential features for deploying applications in production settings.

What you will learn:

- Understanding Kubernetes architecture
- Accessing the Kubernetes cluster
- Containerizing and deploying a Python script
- Configuring deployment with ConfigMaps, Secrets, and Security Contexts
- Exploring multi-container pod design
- Configuring probes for pod health monitoring
- Implementing services and Network Policies
- Securing the Kube-Episerver
- Workload considerations

Course Components:

- Kubernetes Training Course
- A Service Mesh for Kubernetes
- Cloud Native DevOps with Kubernetes
- Kubernetes Cookbook
- Kubernetes Management Design Patterns
- Kubernetes Microservices with Docker
- Managing Kubernetes