Description
Production Kubernetes for DevOps & Cloud Engineers is a course on how to design, deploy, and manage Kubernetes clusters and workloads published by Udemy Online Academy. This is a comprehensive and practical course that teaches you how to design, deploy, and manage Kubernetes clusters and workloads in real-world production environments. You’ll learn core concepts like cluster architecture, scheduling, networking, storage, and security, and then delve deeper into advanced practices like scaling, rolling updates, monitoring, logging, and high availability. The course covers how to automate deployments using manifests and Helm charts, securely manage secrets and configuration, optimize resource utilization, effectively troubleshoot issues, and integrate Kubernetes with CI/CD pipelines for continuous delivery.
This course is designed for DevOps engineers, cloud engineers, and IT professionals who want to work with Kubernetes in real-world, production environments, not just learn the theory. Kubernetes is the backbone of modern cloud-native platforms, and organizations expect engineers to understand deployment strategies, networking, security, scaling, and operational workflows. This course focuses on enterprise-relevant skills that are actively used in professional environments. By the end of this course, you will have the practical skills needed to deploy, launch, and manage containerized applications using Kubernetes in enterprise and cloud environments, making it highly relevant for corporate training and Udemy Business learners.
What you will learn in Production Kubernetes for DevOps & Cloud Engineers:
- Effectively use kubectl and YAML-based declarative configurations in real environments
- Implement rolling updates, rollbacks, Blue-Green, and Canary
- Configure Ingress controllers to route production traffic
- Manage application configuration using ConfigMaps and Secrets
- Understand Kubernetes architecture, core components, and cluster operations
- Work with Persistent Volumes, Persistent Volume Claims, and dynamic storage provisioning
- Deploy and manage stateful workloads using StatefulSets
- Configure and run Jobs, CronJobs, and DaemonSets
- Implement resource management, including CPU/memory limits, probes, and autoscaling (HPA)
- Understand Kubernetes security principles, including RBAC, service accounts, and security contexts
- And more…
Course specifications
Publisher: Udemy
Instructors: Sandeep Soni
Language: English
Level: Advanced
Number of Lessons: 51
Duration: 20 hours and 53 minutes
Course topics
Production Kubernetes for DevOps & Cloud Engineers Prerequisites
Basic understanding of containers and Docker concepts
Familiarity with Linux command-line basics
Fundamental knowledge of cloud computing concepts
Basic understanding of application deployment workflows
Prior exposure to Azure or any cloud platform is helpful but not mandatory
Pictures
Production Kubernetes for DevOps & Cloud Engineers introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
23.7 GB
