Architecting with Google Kubernetes Engine: Workloads en Español

Google Cloud via Coursera

Go to Course: https://www.coursera.org/learn/deploying-workloads-google-kubernetes-engine-gke-es

Introduction

**Course Review: Architecting with Google Kubernetes Engine: Workloads en Español** As cloud-native technologies continue to reshape the landscape of software development and operations, mastering Kubernetes has become a crucial skill for IT professionals and developers alike. The Coursera course “Architecting with Google Kubernetes Engine: Workloads en Español” stands out as an excellent resource for those eager to deepen their knowledge and practical skills in this essential area. ### Course Overview “Architecting with Google Kubernetes Engine: Workloads” is designed to teach participants how to effectively operate Kubernetes, manage deployments, utilize GKE networking tools, and provide persistent storage for Kubernetes workloads. Conducted entirely in Spanish, this course is part of a specialization focused on building efficient processing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The structured approach of the course ensures that learners not only gain theoretical insights but also engage with hands-on exercises that solidify their understanding of Kubernetes operations. ### Detailed Syllabus Breakdown 1. **Introducción al curso** - The course kicks off with a comprehensive introduction, familiarizing students with the layout and design. This module sets the stage for a smooth learning journey, ensuring that participants know what to expect. 2. **Operaciones de Kubernetes** - This module is crucial for those new to Kubernetes. Participants learn about `kubectl`, the command-line interface for managing Kubernetes resources. The module covers connecting `kubectl` to Google Kubernetes Engine clusters, creating, inspecting, and deleting Pods, and accessing Pods interactively. The practical exercises here are invaluable in establishing a solid foundation for subsequent modules. 3. **Objetos Deployment, Job y escalamiento** - Diving deeper into Kubernetes workloads, this section discusses `Deployment` and `Job` objects that are essential for managing application containers. Learners will understand how to scale GKE clusters and control Pod scheduling across nodes, gaining insights into effective workload management. 4. **Herramientas de redes de Google Kubernetes Engine (GKE)** - Networking in GKE is a critical topic that covers creating `Service` objects for exposing applications and setting up `Ingress` resources for load balancing HTTP/HTTPS traffic. This module imparting knowledge on container-native load balancing enhances participants' ability to deploy resilient applications in production environments. 5. **Datos persistentes y almacenamiento** - The final module deals with storage abstractions in Kubernetes, covering `StatefulSets`, `ConfigMaps`, and `Secrets`. This not only arms students with the knowledge to manage application configurations efficiently but also emphasizes security practices for handling sensitive information. ### Why You Should Enroll This course is highly recommended for IT professionals, developers, and system architects looking to enhance their skills in Kubernetes and GKE. Here are a few reasons why you should consider enrolling: - **Hands-On Learning**: With a strong emphasis on practical exercises, participants gain real-world skills that can be immediately applied in their work environments. - **Comprehensive Curriculum**: The course covers essential topics necessary for proficient Kubernetes management, making it perfect for both beginners and those who wish to reinforce their existing knowledge. - **Spanish Language Instruction**: For Spanish-speaking professionals, this course provides an opportunity to learn complex technical concepts in their native language, which can enhance understanding and retention of the material. - **Flexible Learning**: As an online course on Coursera, it offers flexibility to study at your own pace, making it suitable for busy professionals. ### Conclusion In summary, “Architecting with Google Kubernetes Engine: Workloads en Español” is a thoughtfully constructed course that equips learners with the skills essential for mastering Kubernetes in the context of Google Cloud. Its engaging format, practical approach, and comprehensive content make it a standout choice for anyone looking to enhance their capabilities in cloud-native infrastructure and application deployment. Don't miss this chance to sharpen your Kubernetes expertise—enroll today!

Syllabus

Introducción al curso

En este módulo, se familiarizará con la estructura y el diseño del curso.

Operaciones de Kubernetes

En este módulo, aprenderá sobre el comando de kubectl, que es la utilidad de línea de comandos que se usa tanto para administrar los recursos dentro de los clústeres de Kubernetes como para interactuar con ellos. Descubrirá cómo conectarlo con los clústeres de Google Kubernetes Engine y usarlo para crear, inspeccionar y borrar Pods y otros objetos en los clústeres de Kubernetes, así como interactuar con ellos. También usará kubectl para visualizar la salida de la consola de un Pod y acceder de forma interactiva a un Pod.

Objetos Deployment, Job y escalamiento

GKE funciona con aplicaciones alojadas en contenedores, es decir, aplicaciones empaquetadas en instancias del espacio de usuario independientes del hardware y aisladas. En GKE y Kubernetes, estas aplicaciones empaquetadas, en conjunto, se denominan cargas de trabajo. En este módulo, aprenderá sobre los objetos Deployment y Job, dos de los principales tipos de cargas de trabajo. También aprenderá sobre los mecanismos que se usan para escalar los clústeres de GKE en los que ejecuta sus aplicaciones. Aprenderá a controlar en qué nodos se pueden ejecutar o no los Pods. También descubrirá maneras de incorporar software en su clúster.

Herramientas de redes de Google Kubernetes Engine (GKE)

En este módulo, aprenderá a crear objetos Service para exponer aplicaciones que se ejecutan en Pods, lo que les permite comunicarse con el mundo exterior. También descubrirá cómo crear recursos de Ingress para el balanceo de cargas HTTP o HTTPS. Además, aprenderá sobre el balanceo de cargas nativo del contenedor de GKE, que le permite configurar Pods directamente como extremos de red con Google Cloud Load Balancing.

Datos persistentes y almacenamiento

En este módulo, obtendrá información sobre los diferentes tipos de abstracciones de almacenamiento de Kubernetes. Descubrirá qué son los StatefulSets y cómo puede usarlos para administrar implementaciones ordenadas de Pods y almacenamiento. También aprenderá cómo ConfigMaps puede ahorrarle tiempo durante la implementación de aplicaciones separando artefactos de configuración de las definiciones de contenedores. Por último, aprenderá a mantener la información sensible a salvo de exposiciones accidentales mediante Secrets de Kubernetes.