Architecting with Google Kubernetes Engine: Workloads is a dynamic course offered by Google Cloud, designed to equip learners with essential skills for managing workloads in Kubernetes environments. The course encompasses a range of topics, including Kubernetes operations, deployment management, GKE networking, and persistent storage.
Throughout the course, participants will delve into the intricacies of performing Kubernetes operations, creating and managing deployments, utilizing GKE networking tools, and implementing persistent storage solutions for Kubernetes workloads. The hands-on modules provide practical insights into using the kubectl command, deploying and scaling workloads, networking configurations, and managing persistent data in Google Kubernetes Engine. By the end of the course, learners will have a solid understanding of Kubernetes workload management and be well-prepared to enroll in the subsequent "Architecting with Google Kubernetes Engine: Production" course.
Whether you are an IT professional seeking to enhance your Kubernetes expertise or an organization looking to streamline workload management in GKE, this course offers invaluable knowledge and practical skills to help you succeed in architecting robust Kubernetes workloads.
Certificate Available ✔
Get Started / More Info
The "Architecting with Google Kubernetes Engine: Workloads" course is divided into five modules, covering Kubernetes operations, deployment management, GKE networking, and persistent storage. Participants will gain in-depth knowledge and hands-on experience in each area, preparing them for advanced coursework in production environments.
Module 1: Course Introduction
Module 2: Kubernetes Operations
Module 3: Deployments, Jobs, and Scaling
Module 4: Google Kubernetes Engine (GKE) Networking
Module 5: Persistent Data and Storage
Développez des applications cloud natives sécurisées, évolutives et intelligentes avec Google Cloud. Apprenez à intégrer les services gérés de Google Cloud...
Develop scalable enterprise applications with EJBs and JPA in this comprehensive course.
Machine Learning for All is an introductory course that aims to demystify the complex concepts of machine learning. Through non-programming based training, participants...
Version Control in Java: Update Your App with Git Learn essential Git commands and workflows for Java development in this 2-hour guided project.