YoVDO

Automating Kubernetes Operations with Ansible-Based Operator Development

Offered By: DevConf via YouTube

Tags

Kubernetes Courses DevOps Courses Ansible Courses Custom Resource Definitions Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the development of Ansible-based Operators for Kubernetes in this conference talk from DevConf.CZ 2024. Dive into the integration of Ansible's automation framework with Kubernetes' Operator pattern to streamline complex application deployments and day-2 operations. Learn about architectural components of Kubernetes Operators, Custom Resource Definitions (CRDs), and controllers. Discover how to create custom operators using Ansible's simplicity and versatility, tailored to specific workload requirements. Gain insights into defining desired states and workflows as code, enabling self-healing, scaling, and management of Kubernetes-native applications. The talk covers key topics such as an introduction to Kubernetes Operators, Ansible's capabilities for Kubernetes automation, a step-by-step guide to developing Ansible-based Operators, best practices for structuring Ansible playbooks and roles, and real-world use cases demonstrating their efficacy in managing diverse Kubernetes workloads. Understand how adopting Ansible-based Operators can lead to significant efficiency gains in Kubernetes management, reducing manual intervention and operational overhead in cloud-native environments.

Syllabus

Automating Kubernetes Operations with Ansible-Based Operator Development - DevConf.CZ 2024


Taught by

DevConf

Related Courses

Ansible Basics & Installing WordPress on LAMP with Playbooks
Coursera Project Network via Coursera
DevOps CI/CD Pipeline: Automation from development to deployment
Universidad Anáhuac via edX
DevOps Pipeline: Automatización hasta el despliegue
Universidad Anáhuac via edX
Introduction to Ansible: The Fundamentals
Coursera Project Network via Coursera
DevOps Foundations: Software Development Optimization
Universidad Anáhuac via edX