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Architecting with Google Kubernetes Engine

Foundations auf Deutsch

Google Cloud Training
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers Kubernetes' core concepts and platform architecture
Helps learners navigate the technical intricacies of GKE deployments
Provides foundational knowledge for working with Kubernetes and Google Cloud Platform

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Career center

Learners who complete Architecting with Google Kubernetes Engine: Foundations auf Deutsch will develop knowledge and skills that may be useful to these careers:
Kubernetes Engineer
The Architecting with Google Kubernetes Engine: Foundations course provides an introduction to the creation and management of software containers using Kubernetes, a popular container orchestration platform. As a Kubernetes Engineer, you will be responsible for architecting and maintaining Kubernetes-based systems and ensuring that containerized applications run smoothly and efficiently. The skills and knowledge gained in this course can greatly benefit you in this role by equipping you with a comprehensive understanding of Kubernetes concepts and best practices. The hands-on labs provided in the course will also allow you to apply your knowledge in practical scenarios, making you a more effective Kubernetes Engineer.
Cloud Architect
The Architecting with Google Kubernetes Engine: Foundations course can be a valuable asset for individuals aspiring to become Cloud Architects. The course provides a solid foundation in the principles and practices of cloud computing and Google Cloud Platform. As a Cloud Architect, you will be responsible for designing, implementing, and managing cloud-based solutions. The knowledge gained from this course can enhance your ability to design and manage Kubernetes-based systems and make informed decisions about cloud infrastructure. The course's emphasis on best practices and real-world scenarios will also contribute to your success as a Cloud Architect.
DevOps Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be useful for aspiring DevOps Engineers. The course covers topics such as infrastructure management, container orchestration, and continuous deployment, which are all highly relevant to this role. By completing this course, you will gain an understanding of the principles and practices of DevOps and be better prepared to collaborate with other team members to automate and streamline the software development process.
Site Reliability Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be beneficial for those interested in pursuing a career as a Site Reliability Engineer (SRE). The course provides an overview of cloud infrastructure and container management, topics that are crucial for SREs who are responsible for ensuring the reliability and performance of large-scale distributed systems. The course's focus on best practices and operational excellence can provide a solid foundation for aspiring SREs.
Software Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be helpful for Software Engineers wanting to specialize in cloud-native application development. The course provides a foundation in Kubernetes, a key technology for building and deploying scalable and resilient applications in the cloud. By completing this course, Software Engineers can gain the skills and knowledge needed to design and implement cloud-based solutions using Kubernetes.
Systems Administrator
The Architecting with Google Kubernetes Engine: Foundations course may be beneficial for Systems Administrators looking to expand their knowledge and skills in cloud computing and container management. The course provides an overview of Google Cloud Platform and Kubernetes, covering topics such as infrastructure management, container orchestration, and networking. By completing this course, Systems Administrators can gain the skills and knowledge needed to manage and maintain cloud-based systems effectively.
Cloud Developer
The Architecting with Google Kubernetes Engine: Foundations course may be helpful for individuals aspiring to become Cloud Developers. The course provides a solid foundation in the principles and practices of cloud computing and Google Cloud Platform. As a Cloud Developer, you will be responsible for developing and deploying applications on the cloud. The knowledge gained from this course can enhance your ability to design and develop cloud-native applications and make informed decisions about cloud infrastructure.
Data Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be useful for aspiring Data Engineers wanting to specialize in cloud-based data management. The course provides a foundation in Kubernetes, a key technology for building and deploying scalable and resilient data pipelines in the cloud. By completing this course, Data Engineers can gain the skills and knowledge needed to design and implement cloud-based data solutions using Kubernetes.
Cloud Security Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be beneficial for aspiring Cloud Security Engineers. The course provides an overview of cloud security principles and practices, covering topics such as identity and access management, network security, and data protection. By completing this course, aspiring Cloud Security Engineers can gain the skills and knowledge needed to secure cloud-based systems and applications effectively.
Technical Architect
The Architecting with Google Kubernetes Engine: Foundations course can be helpful for those aspiring to become Technical Architects. The course provides a deep understanding of cloud architecture, container orchestration, and best practices for designing and implementing scalable and resilient systems. By completing this course, individuals can gain the skills and knowledge needed to architect and manage complex cloud-based solutions that meet the demands of modern applications.
Solutions Architect
The Architecting with Google Kubernetes Engine: Foundations course may be useful for aspiring Solutions Architects wanting to specialize in cloud-native solutions. The course provides a foundation in Kubernetes, a key technology for building and deploying scalable and resilient applications in the cloud. By completing this course, Solutions Architects can gain the skills and knowledge needed to design and implement cloud-based solutions using Kubernetes.
Cloud Consultant
The Architecting with Google Kubernetes Engine: Foundations course may be beneficial for aspiring Cloud Consultants. The course provides an overview of cloud computing principles and practices, covering topics such as cloud architecture, migration strategies, and cost optimization. By completing this course, aspiring Cloud Consultants can gain the skills and knowledge needed to advise clients on cloud adoption and cloud-based solution design.
DevSecOps Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be helpful for aspiring DevSecOps Engineers looking to specialize in cloud-native security. The course provides a foundation in Kubernetes, a key technology for building and deploying secure applications in the cloud. By completing this course, DevSecOps Engineers can gain the skills and knowledge needed to design and implement cloud-based security solutions using Kubernetes.
Cloud Network Engineer
The Architecting with Google Kubernetes Engine: Foundations course may be helpful for aspiring Cloud Network Engineers. The course provides an overview of cloud networking principles and practices, covering topics such as network architecture, routing, and security. By completing this course, aspiring Cloud Network Engineers can gain the skills and knowledge needed to design and implement secure and efficient cloud-based networks.
Data Scientist
The Architecting with Google Kubernetes Engine: Foundations course may be helpful for aspiring Data Scientists looking to specialize in cloud-based data analysis. The course provides a foundation in Kubernetes, a key technology for building and deploying scalable and resilient data pipelines in the cloud. By completing this course, Data Scientists can gain the skills and knowledge needed to design and implement cloud-based data solutions using Kubernetes.

Reading list

We've selected seven 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: Foundations auf Deutsch.
This comprehensive reference covers all aspects of Kubernetes, including architecture, components, and advanced topics. It's a valuable resource for深入理解Kubernetes and its inner workings, complementing this course's foundational knowledge.
Provides a practical introduction to Kubernetes, guiding you through setup, deployment, and management tasks. It's a good companion to this course, offering hands-on examples and insights into Kubernetes operations.
Covers the development and deployment of Java applications in cloud-native environments. It provides insights into using Kubernetes and other cloud-native technologies with Java, complementing this course's focus on container-based deployments.
Explores the integration of Kubernetes with DevOps practices, covering continuous integration, deployment, and monitoring. It's a useful companion for understanding how Kubernetes fits into a larger DevOps ecosystem.
Introduces Argo, a suite of open-source tools for automating Kubernetes operations. It's a valuable resource for learning how to streamline Kubernetes management tasks, such as continuous deployment and workflow orchestration.
Offers practical guidance for managing and operating Kubernetes clusters in production environments. It covers topics such as monitoring, logging, and scaling, providing valuable insights for deploying and maintaining Kubernetes-based solutions.
Provides a comprehensive overview of Google Cloud Platform (GCP), including its services and features. It's a useful reference for understanding the broader context of this course's focus on Kubernetes on GCP.

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