Learning Kubernetes ( Created by Ahmed Abdal )– [Udemy]

What you'll learn
Introduction to Kubernetes
Deploying and managing containerized applications with Kubernetes
Scaling and load balancing in Kubernetes
Kubernetes networking and service discovery
Monitoring and troubleshooting in a Kubernetes cluster
Requirements
Student required to have basic understanding of Development
Description
Learning Kubernetes is an essential journey for anyone involved in modern software development and infrastructure management. Kubernetes, often referred to as K8s, is an open-source container orchestration platform that simplifies the deployment, scaling, and management of containerized applications in dynamic, cloud-native environments. This comprehensive learning process encompasses several key aspects and concepts.
First and foremost, beginners need to grasp the foundational principles of Kubernetes. Understanding the core components, such as pods, nodes, and clusters, is crucial. Pods are the smallest deployable units in Kubernetes, containing one or more containers, and nodes are the underlying machines that host these pods. Clusters are the entire Kubernetes infrastructure, comprising multiple nodes.
Deployment and application management in Kubernetes involve creating YAML manifest files to define the desired state of your application. Kubernetes then takes over, orchestrating the deployment and ensuring that the application behaves as specified. This declarative approach empowers developers to focus on the "what" rather than the "how" of application management.
Scaling and load balancing are integral parts of Kubernetes as well. Horizontal and vertical scaling capabilities ensure that applications can handle varying workloads and are highly available. Load balancing, facilitated by services and ingress controllers, evenly distributes traffic to application instances, optimizing performance and reliability.
Kubernetes networking and service discovery are also vital topics to explore. Kubernetes offers a virtual network to facilitate communication between pods, regardless of their physical location, and services provide stable, DNS-based service discovery and load balancing, simplifying how applications communicate.
Lastly, learning to monitor and troubleshoot a Kubernetes cluster is essential for maintaining application health and performance. Monitoring tools like Prometheus and Grafana, coupled with logging solutions like Elasticsearch and Fluentd, provide insights into cluster metrics and logs, helping to proactively detect and address issues. When problems arise, Kubernetes provides diagnostic tools and features for rolling updates and rollbacks.
Mastering Kubernetes involves gaining proficiency in all these areas, making it possible to develop, deploy, and manage containerized applications with confidence in the complex and ever-evolving landscape of cloud-native computing.
Who this course is for
This course is for developers who interested in Kubernetes
Homepage

https://www.udemy.com/course/learning-kubernetes-k8s/