Architecting with Google Kubernetes Engine: Production en Français from Coursera

Dans le cours "Architecting with Google Kubernetes Engine: Production", vous découvrirez la sécurité dans Kubernetes et Google Kubernetes Engine (GKE) (journaux et surveillance), ainsi que l'utilisation des services de stockage et de bases de données gérés Google Cloud à partir de GKE.

Il s'agit du dernier cours de la série "Architecting with Google Kubernetes Engine". Après l'avoir terminé, inscrivez-vous aux cours "Reliable Google Cloud Infrastructure: Design and Process" ou "Hybrid Cloud Infrastructure Foundations with Anthos."

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What's inside

Syllabus

Présentation du cours

Dans ce module, vous allez vous familiariser avec la structure et le déroulement du cours.

Contrôle d'accès et sécurité dans Kubernetes et Google Kubernetes Engine (GKE)

Dans ce module, vous en apprendrez plus sur l'authentification et l'autorisation Kubernetes afin de choisir qui peut effectuer quelles actions sur les ressources de vos clusters GKE. Les connaissances acquises dans ce module vous permettront de vérifier que vous avez défini des règles d'accès adaptées pour renforcer la sécurité de votre cluster et de vos applications.

Journalisation et surveillance de Google Kubernetes Engine (GKE)

Dans ce module, vous découvrirez comment la journalisation est implémentée dans Kubernetes et comment GKE renforce cette fonctionnalité de base grâce à la suite Google Cloud Operations, composée d'outils de reconnaissance de ressources multicloud fournis par Google. Vous apprendrez à localiser et à inspecter les journaux Kubernetes générés par les ressources au sein de vos clusters GKE. Vous découvrirez comment utiliser la suite Google Cloud Operations pour surveiller et gérer la disponibilité et les performances de vos ressources Google Cloud, ainsi que des applications développées avec ces ressources. Vous apprendrez également à exploiter la suite Google Cloud Operations et BigQuery pour bénéficier d'une période de conservation plus longue et d'une analyse forensique des journaux. Enfin, vous découvrirez comment créer des vérifications d'état dans les applications que vous exécutez.

Utiliser les services de stockage gérés de Google Cloud avec Google Kubernetes Engine (GKE)

Dans ce module, vous découvrirez les avantages et les inconvénients des services de stockage gérés par rapport à un stockage conteneurisé autogéré pour vos applications. Vous apprendrez à identifier les cas d'utilisation de Cloud Storage pour les applications exécutées dans un cluster Kubernetes et étudierez la gamme de services de bases de données gérés de Google Cloud. Vous découvrirez comment utiliser le proxy Cloud SQL pour simplifier la connexion à Cloud SQL (l'un de ces services) depuis les applications Kubernetes.

Utiliser des pipelines CI/CD avec Google Kubernetes Engine

Dans ce module, nous vous présenterons le concept des systèmes de CI/CD ainsi que certains des outils disponibles dans Google Cloud. Nous étudierons également plusieurs cas d'utilisation afin d'identifier celui qui convient le mieux à votre organisation.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores configuration and management of Google Kubernetes Engine (GKE) with security and efficiency features

Delves into authentication, authorization, logging, monitoring within GKE and the Google Cloud Operations suite

Covers integration with Google Cloud storage and database services, including Cloud SQL

Addresses CI/CD for GKE, providing guidance on industry best practices

Hands-on exercises and labs reinforce concepts and practical applications

Prerequisite knowledge in Kubernetes and Google Cloud fundamentals is recommended

Career center

Learners who complete Architecting with Google Kubernetes Engine: Production en Français will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers use their knowledge of data architecture and software development to create and maintain big data systems. Google Kubernetes Engine (GKE), the focus of this course, enables more efficient deployment and management of data processing pipelines, enhancing the efficiency and scalability of data engineering solutions. Understanding GKE's capabilities can significantly benefit Data Engineers by providing a strong foundation for designing and implementing robust data processing systems.

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DevOps Engineer

DevOps Engineers work to streamline software development and deployment processes by bridging the gap between development and operations teams. This course on Google Kubernetes Engine (GKE) directly aligns with the DevOps Engineer role, providing valuable insights into container orchestration, security, logging, and monitoring. By mastering these concepts, DevOps Engineers can enhance the efficiency and reliability of their CI/CD pipelines, improving software delivery outcomes.

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Site Reliability Engineer (SRE)

Site Reliability Engineers (SREs) are responsible for ensuring the reliability and performance of software systems. This course on Google Kubernetes Engine (GKE) provides essential knowledge for SREs, covering topics such as security, logging, and monitoring. By understanding how to manage and troubleshoot GKE clusters, SREs can proactively identify and resolve issues, ensuring the stability and uptime of their systems.

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Cloud Architect

Cloud Architects design and manage cloud computing solutions. This course on Google Kubernetes Engine (GKE) provides a comprehensive understanding of container orchestration and its role in cloud architecture. By learning best practices for deploying, managing, and securing GKE clusters, Cloud Architects can optimize their cloud infrastructure, ensuring scalability, efficiency, and cost-effectiveness.

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Kubernetes Administrator

Kubernetes Administrators are responsible for managing and maintaining Kubernetes clusters. This course on Google Kubernetes Engine (GKE) provides the essential knowledge and skills for this role, covering topics such as cluster setup, configuration, security, and troubleshooting. By understanding the intricacies of GKE, Kubernetes Administrators can ensure the optimal performance and reliability of their Kubernetes environments.

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Cloud Security Engineer

Cloud Security Engineers are responsible for ensuring the security of cloud computing environments. This course on Google Kubernetes Engine (GKE) provides a solid foundation in Kubernetes security, covering topics such as access control, encryption, and threat detection. By mastering these concepts, Cloud Security Engineers can effectively protect their GKE clusters and the data they contain.

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Software Developer

Software Developers design, develop, and maintain software applications. This course on Google Kubernetes Engine (GKE) may be useful for Software Developers who want to leverage Kubernetes for building and deploying cloud-native applications. By understanding how to use GKE effectively, Developers can enhance the scalability, flexibility, and reliability of their software solutions.

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Cloud Operations Engineer

Cloud Operations Engineers are responsible for managing and optimizing cloud computing infrastructure. This course on Google Kubernetes Engine (GKE) provides valuable insights into container orchestration and its role in cloud operations. By understanding how to deploy, manage, and monitor GKE clusters, Cloud Operations Engineers can ensure the smooth and efficient operation of their cloud infrastructure.

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Data Scientist

Data Scientists use their expertise in data analysis, machine learning, and statistics to solve complex business problems. This course on Google Kubernetes Engine (GKE) may be useful for Data Scientists who want to leverage Kubernetes for managing and scaling their data processing pipelines. By understanding the capabilities of GKE, Data Scientists can improve the efficiency and reliability of their data science workflows.

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Systems Administrator

Systems Administrators are responsible for managing and maintaining computer systems. This course on Google Kubernetes Engine (GKE) provides valuable knowledge for Systems Administrators who want to expand their skills into cloud computing. By understanding how to deploy, manage, and secure GKE clusters, Systems Administrators can effectively manage cloud-based infrastructure and applications.

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Cloud Engineer

Cloud Engineers design, build, and manage cloud computing solutions. This course on Google Kubernetes Engine (GKE) provides a strong foundation for Cloud Engineers, covering topics such as cluster management, security, and monitoring. By mastering these concepts, Cloud Engineers can effectively deploy and manage cloud-based infrastructure and applications, ensuring optimal performance and reliability.

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DevOps Architect

DevOps Architects design and implement DevOps processes and tools to improve software development and deployment. This course on Google Kubernetes Engine (GKE) may be useful for DevOps Architects who want to leverage Kubernetes for building and deploying cloud-native applications. By understanding the capabilities of GKE, DevOps Architects can design and implement effective DevOps pipelines that optimize the delivery of software solutions.

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Technical Architect

Technical Architects design and implement technical solutions to meet business requirements. This course on Google Kubernetes Engine (GKE) provides valuable knowledge for Technical Architects who want to expand their skills into cloud computing. By understanding how to deploy, manage, and secure GKE clusters, Technical Architects can design and implement effective cloud-based solutions that meet the scalability, performance, and security requirements of their organizations.

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Cloud Consultant

Cloud Consultants help organizations adopt and optimize cloud computing solutions. This course on Google Kubernetes Engine (GKE) provides valuable insights for Cloud Consultants who want to expand their knowledge of container orchestration. By understanding the capabilities of GKE, Cloud Consultants can effectively advise their clients on how to leverage Kubernetes for building and deploying scalable, reliable, and cost-effective cloud-native applications.

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Senior Software Engineer

Senior Software Engineers lead and mentor junior engineers and contribute to the design and implementation of software systems. This course on Google Kubernetes Engine (GKE) may be useful for Senior Software Engineers who want to expand their skills into cloud computing. By understanding the capabilities of GKE, Senior Software Engineers can effectively guide their teams in designing and implementing scalable, reliable, and cost-effective cloud-native applications.

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