Enroll Course: https://www.coursera.org/learn/deploying-workloads-google-kubernetes-engine-gke-es
For those looking to dive deep into the world of container orchestration and specifically harness the power of Google Kubernetes Engine (GKE), the Coursera course “Architecting with Google Kubernetes Engine: Workloads en Español” is an excellent choice. This course, delivered entirely in Spanish, is designed to equip learners with the practical skills needed to manage and deploy applications effectively within a GKE environment.
The course kicks off with a solid introduction, setting the stage for what’s to come. The “Kubernetes Operations” module is particularly insightful, focusing on the indispensable `kubectl` command-line tool. You’ll learn how to connect to GKE clusters, create, inspect, and delete Pods and other Kubernetes objects, and even interact with Pods directly through console output. This hands-on approach to `kubectl` is crucial for anyone managing Kubernetes resources.
Moving on, the “Deployment, Job, and Scaling Objects” module delves into the core concepts of GKE workloads. It explains how applications are packaged into containers and introduces essential workload objects like Deployments and Jobs. A significant portion of this module is dedicated to scaling strategies for GKE clusters, ensuring your applications can handle varying loads. You’ll also gain knowledge on controlling Pod placement on nodes and integrating software into your cluster.
The “Google Kubernetes Engine (GKE) Networking Tools” section is vital for making your applications accessible. It covers the creation of Service objects to expose your containerized applications, enabling external communication. You’ll also explore Ingress resources for HTTP/HTTPS load balancing and learn about GKE’s container-native load balancing, which allows direct configuration of Pods as network endpoints with Google Cloud Load Balancing.
Finally, the “Persistent Data and Storage” module addresses the critical aspect of data management. It provides a comprehensive overview of Kubernetes storage abstractions, including StatefulSets for managing deployments with persistent storage. The course also highlights the utility of ConfigMaps for separating configuration artifacts from container definitions, simplifying deployments, and leverages Kubernetes Secrets to securely manage sensitive information, preventing accidental exposure.
Overall, “Architecting with Google Kubernetes Engine: Workloads en Español” is a well-structured and comprehensive course that provides a strong foundation in managing Kubernetes workloads on GKE. The practical exercises and clear explanations make it highly recommendable for developers, system administrators, and cloud engineers seeking to enhance their expertise in container orchestration.
Enroll Course: https://www.coursera.org/learn/deploying-workloads-google-kubernetes-engine-gke-es