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Architecting with Google Kubernetes Engine

Workloads en Français

Google Cloud Training

"Le cours ""Architecting with Google Kubernetes Engine: Workloads"" vous apprend à effectuer des opérations Kubernetes ; à créer et gérer des déploiements ; à utiliser les outils de mise en réseau GKE, et à attribuer un espace de stockage persistant à vos charges de travail Kubernetes.

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"Le cours ""Architecting with Google Kubernetes Engine: Workloads"" vous apprend à effectuer des opérations Kubernetes ; à créer et gérer des déploiements ; à utiliser les outils de mise en réseau GKE, et à attribuer un espace de stockage persistant à vos charges de travail Kubernetes.

Ce cours fait partie d'une formation spécialisée consacrée à la création d'infrastructures informatiques efficaces à l'aide de Kubernetes et de GKE. Cette formation porte sur le déploiement et la gestion d'applications conteneurisées sur GKE et les autres services proposés par Google Cloud Platform. Grâce à une série de présentations, de démonstrations et d'ateliers pratiques, vous découvrirez et déploierez des éléments de solution, y compris des composants d'infrastructure tels que des pods, des conteneurs, des objets Déploiement et des services, ainsi que des réseaux et des services applicatifs. La formation spécialisée couvre également le déploiement de solutions pratiques dont celles relatives à la gestion de la sécurité et des accès, la gestion des ressources et la surveillance des ressources.

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What's inside

Syllabus

Présentation du cours
Dans ce module, vous allez vous familiariser avec la structure et le plan du cours.
Opérations Kubernetes
Dans ce module, vous en saurez plus sur la commande kubectl, l'utilitaire de ligne de commande qui permet de gérer les ressources des clusters Kubernetes et d'interagir avec elles. Vous apprendrez à la connecter aux clusters Google Kubernetes Engine. Vous découvrirez également comment l'utiliser pour créer, inspecter et supprimer des pods et d'autres objets des clusters Kubernetes, et interagir avec ces éléments. Vous utiliserez aussi kubectl pour afficher le résultat de la console d'un pod, et vous connecter de façon interactive à un pod.
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Déploiements, tâches et scaling
GKE fonctionne avec les applications conteneurisées, c'est-à-dire des applications intégrées dans des instances de l'espace utilisateur isolées, indépendantes du matériel. Dans GKE et Kubernetes, ces applications empaquetées sont appelées collectivement charges de travail. Dans ce module, nous nous intéresserons à deux des principaux types de charges de travail : les déploiements et les tâches. Vous découvrirez aussi les mécanismes employés pour effectuer un scaling des clusters GKE où vous exécutez vos applications. Vous apprendrez à contrôler quels nœuds de pods doivent s'exécuter ou non. Vous découvrirez également des façons d'intégrer un logiciel dans votre cluster.
Mise en réseau de Google Kubernetes Engine (GKE)
Ce module explique comment créer des services pour exposer des applications qui s'exécutent au sein de pods, ce qui leur permet de communiquer en externe. Vous allez également apprendre à créer des ressources Ingress pour l'équilibrage de charge HTTP ou HTTPS. Enfin, vous découvrirez l'équilibrage de charge natif en conteneurs de GKE, qui vous permet de configurer directement les pods en tant que points de terminaison du réseau avec Google Cloud Load Balancing.
Données et stockage persistants
Ce module présente les différents types d'abstractions de stockage Kubernetes. Vous découvrirez les StatefulSets et comment les utiliser pour gérer des déploiements de pods et de stockage ordonnés. Vous verrez aussi comment ConfigMaps peut vous faire gagner du temps lors du déploiement de vos applications en dissociant les artefacts de configuration des définitions de conteneur. Enfin, vous apprendrez à renforcer la sécurité des informations sensibles pour éviter toute exposition accidentelle à l'aide des Secrets Kubernetes.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Google Cloud Training, recognized authority on cloud computing
Examines Kubernetes, which is standard in the growing field of cloud computing
Develops core skills using Kubernetes, which is essential for cloud-based roles
Includes interactive material and hands-on labs for practical experience
Part of a specialized course on architecting with Google Kubernetes Engine
May require additional subscriptions or exam fees

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Career center

Learners who complete Architecting with Google Kubernetes Engine: Workloads en Français will develop knowledge and skills that may be useful to these careers:
Cloud Operations Engineer
A Cloud Operations Engineer manages and maintains cloud computing systems. This course is particularly relevant for Cloud Operations Engineers who are responsible for deploying and managing Kubernetes workloads in the cloud.
Security Engineer
A Security Engineer designs, implements, and maintains security measures to protect computer systems and networks. This course will be helpful in deploying Kubernetes workloads securely using industry best practices.
Cloud Security Architect
A Cloud Security Architect designs, implements, and maintains security measures for cloud computing systems. This course is particularly relevant for Cloud Security Architects who need to secure Kubernetes workloads deployed in the cloud.
Site Reliability Engineer (SRE)
An SRE designs, builds, and maintains software and systems to ensure high availability and performance. This course will teach you techniques and best practices when using Kubernetes workloads, which will be useful in your efforts to ensure high availability and performance.
Network Engineer
A Network Engineer designs, builds, and maintains computer networks. This course can teach you how to implement networking best practices for Kubernetes workloads, improving the reliability and performance of your network.
Technical Architect
A Technical Architect designs and builds the technical architecture of an organization's computer systems. This course can be particularly useful in learning about the design and implementation of Kubernetes workloads in a scalable and secure manner.
Kubernetes Administrator
A Kubernetes Administrator installs, configures, and maintains Kubernetes clusters. This course will help to build a foundation in understanding the operations, deployments, networking, and data storage of Kubernetes workloads.
Cloud Platform Architect
A Cloud Platform Architect designs and builds cloud computing platforms. This course may be useful in understanding how to use Kubernetes workloads to create scalable and resilient cloud platforms.
Data Engineer
A Data Engineer designs, builds, and maintains data management systems. This course can be particularly helpful to Data Engineers who wish to deploy Kubernetes workloads to optimize data storage and processing.
IT Manager
An IT Manager plans, coordinates, and directs the implementation and maintenance of computer systems in an organization. This course can teach you how to manage teams and projects related to the deployment and management of Kubernetes workloads.
Cloud Architect
A Cloud Architect designs, builds, and maintains cloud computing systems. This course can strengthen your ability to work with Google Kubernetes Engine for a more effective cloud architecture, improving security, performance, availability, and cost-efficiency.
Full-Stack Developer
A Full Stack Developer designs, develops, and maintains both the front-end (client-side) and back-end (server-side) of web applications. This course may be useful when selecting and managing Kubernetes workloads for the back-end of web applications.
Systems Engineer
A Systems Engineer designs, deploys, and maintains computer systems. This course may be useful in gaining the skills and knowledge necessary to support the deployment of Kubernetes workloads.
DevOps Engineer
A DevOps Engineer uses both development (Dev) and operations (Ops) practices to oversee software design, development, deployment, and maintenance. This course can provide a better understanding of how to use Kubernetes workloads for your software systems.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful in informing your software design and development decisions with regards to handling Kubernetes workloads effectively.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Architecting with Google Kubernetes Engine: Workloads en Français.
A comprehensive reference guide to Kubernetes. Covers all aspects of the platform, including its architecture, API, and ecosystem. Useful for in-depth understanding and as a reference.
Provides a comprehensive overview of Kubernetes, including its architecture, components, and use cases. Useful as a foundational reference and for background knowledge.
Provides an in-depth look at Kubernetes operators, which are used to extend the platform's functionality. Useful for developers building and operating complex Kubernetes applications.
While not specific to Kubernetes, this book provides a comprehensive overview of SRE principles and practices. Useful for understanding how to operate and maintain complex systems, including Kubernetes clusters.
While not specific to Kubernetes, this book provides valuable insights into DevOps practices and principles. Useful for understanding how to improve collaboration and efficiency between development and operations teams.
Provides a foundational understanding of data management and storage principles. Useful for designing and architecting data-intensive applications that can be deployed on Kubernetes.

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