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Google Cloud Training

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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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."

>>> En vous inscrivant à ce cours, vous vous engagez à respecter les Conditions d'utilisation de Qwiklabs, telles que définies dans les questions fréquentes et disponibles à l'adresse suivante : https://qwiklabs.com/terms_of_service <<<

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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)
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Traffic lights

Read about what's good
what should give you pause
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

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Reviews summary

Architecture gke: production en français

Selon les apprenants, ce cours est une excellente conclusion à la série sur GKE, offrant des labs bien conçus et des explications claires sur la sécurité Kubernetes, la journalisation et les services de stockage gérés, très utiles pour des applications en production. Cependant, certains estiment que malgré son titre 'Production', il pourrait manquer de profondeur sur des techniques avancées ou des cas d'utilisation complexes en entreprise, et son rythme soutenu nécessite une connaissance préalable très solide de GKE.
Il s'agit du dernier cours de la série sur l'architecture GKE.
"Ce cours est une excellente conclusion à la série Architecting with GKE."
"Une bonne continuation de la série."
"Ce cours s'inscrit comme la fin logique pour approfondir l'architecture GKE."
Les exercices pratiques sont bien conçus et solidifient la compréhension.
"Les labs sont très bien conçus et m'ont permis de solidifier mes connaissances."
"Les démonstrations très utiles. C'est un must pour tout professionnel GKE."
"Les Qwiklabs sont toujours un plus, ils renforcent la compréhension pratique."
Le cours offre des connaissances directement applicables en production.
"Les sections sur la sécurité Kubernetes et la journalisation/surveillance... sont très complètes et directement applicables."
"Les explications sont claires et les démonstrations très utiles. Les concepts sont bien présentés pour des applications en production."
"J'ai trouvé le module sur les services de stockage gérés avec GKE particulièrement utile."
Des problèmes techniques sont parfois rencontrés dans les labs.
"Les labs sont parfois un peu rapides ou manquent d'explications pour les erreurs."
Le cours demande une connaissance préalable solide de GKE.
"Le cours suppose une connaissance préalable très solide de GKE, plus que ce que la description n'indique."
"Le rythme est soutenu, ce qui est bien pour les personnes ayant déjà une bonne base."
"J'ai eu du mal à suivre certaines parties sans devoir faire des recherches supplémentaires."
Pour la production avancée, certains sujets manquent de détails.
"J'aurais apprécié un peu plus d'exemples concrets sur les pipelines CI/CD dans des scénarios complexes de production."
"Le cours survole certains sujets critiques sans entrer dans les détails des problèmes réels rencontrés en entreprise."
"Les Qwiklabs sont trop simples et ne reflètent pas la complexité des défis de production. Déçu par le manque de profondeur réelle."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Architecting with Google Kubernetes Engine: Production en Français with these activities:
Review Kubernetes Security and Authorization
Reviewing Kubernetes Security and Authorization in advance will help prepare you for the upcoming course by solidifying your understanding of these foundational security concepts.
Browse courses on Kubernetes Security
Show steps
  • Read documentation on Kubernetes security principles
  • Complete online tutorials on Kubernetes authorization
  • Practice configuring Kubernetes security policies
Show all one activities

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected 11 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: Production en Français.
Introduces the concept of Kubernetes Operators, which are custom controllers that can extend Kubernetes and enable you to automate the management and operation of new types of workloads.
Comprehensive guide to Site Reliability Engineering (SRE), which discipline that combines software engineering, operations, and DevOps to ensure the reliability and performance of complex systems.
Practical guide to DevOps, which set of practices and tools that enable software teams to deliver software faster and more reliably.
Provides a comprehensive overview of agile principles, patterns, and practices, and shows how to apply them in C# development. It covers topics like test-driven development, refactoring, and continuous integration.
Classic guide to writing clean code, which is code that is easy to read, understand, and maintain. It covers topics like naming conventions, code organization, and error handling.
Classic guide to lean startup methodology, which set of practices that help entrepreneurs build successful businesses by iterating quickly and learning from their mistakes.

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