Kubernetes Resource Management and Configuration

Course Description

This course provides a practical guide to managing resources and configuring applications in a Kubernetes environment. You will learn how to create logical separation and enforce resource limits within your cluster using Namespaces and ResourceQuotas. The curriculum then dives deep into decoupling application configuration from your code, teaching you how to manage non-sensitive data with ConfigMaps and handle sensitive information like passwords and API keys securely with Secrets. Through extensive hands-on labs, you'll gain the essential skills to build well-organized, secure, and resource-efficient Kubernetes clusters.

Who is this course for

This course is designed for individuals who have experience deploying applications on Kubernetes and are ready to learn best practices for management and configuration in a multi-tenant or production environment. It is ideal for:

• Kubernetes Administrators & Operators: Who are responsible for the day-to-day management and health of a cluster.

• DevOps Engineers & SREs: Who build deployment pipelines and need to manage application configurations and resource allocation.

• Cloud Engineers: Who manage cloud-native infrastructure and need to ensure efficient resource utilization.

Course Objectives

Upon successful completion of this course, you will be able to:

• Implement Multi-Tenancy with Namespaces: Create and manage Namespaces to logically isolate projects, teams, and environments within a single cluster.

• Enforce Resource Limits: Apply ResourceQuotas to Namespaces to control and limit CPU, memory, and object consumption.

• Manage Application Configuration: Externalize application configuration using ConfigMaps, allowing for easier updates and environment-specific settings.

• Handle Sensitive Data Securely: Create and use Kubernetes Secrets to inject sensitive data like passwords and tokens into your applications safely.

Prerequisites

To succeed in this course, you must have:

1. Solid Kubernetes Experience: You should be proficient in deploying and managing Kubernetes workloads (Pods, Deployments) and Services.

2. Proficiency with kubectl and YAML: You must be comfortable using the command line to interact with a cluster and writing YAML manifest files.

3. A Working Kubernetes Cluster: You need access to a Kubernetes environment (like Minikube, kind, or a cloud-based cluster) to perform the hands-on labs.

Course outline

Section 1: Namespaces

1. Introduction to Namespaces

2. Hands-on Lab: Working with Namespaces in Kubernetes

3. Understanding ResourceQuotas in Kubernetes

4. Hands-on Lab: Managing ResourceQuotas in a Kubernetes Namespace

5. Scenarios and Best Practices for Using ResourceQuotas

Section 2: ConfigMaps and Secrets

1. Introduction to ConfigMaps for Externalizing Configuration

2. Introduction to Secrets for Managing Sensitive Data

Testimonials