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Offers a thorough overview of Kubernetes operations, the essential components of GKE networks, and the deployment and management processes for containers
Provides practical guidance on using Google Kubernetes Engine, including hands-on labs that reinforce the concepts and skills taught
Designed for individuals seeking to gain a strong foundation in deploying and managing containerized applications using Kubernetes and GKE
Instructors from Google Cloud Training, renowned for their industry expertise and experience, lead the course
Covers persistent storage for Kubernetes workloads, ensuring data durability and availability
Save this course
Save Architecting with Google Kubernetes Engine: Workloads auf Deutsch to your list so you can find it easily later:
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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: Workloads auf Deutsch with these
activities:
Review Google Cloud Platform Fundamentals
Show steps
Understanding the foundational principles of GCP will help you understand how GKE fits into the larger GCP ecosystem.
Browse courses on
Google Cloud Platform
Show steps
-
Review the GCP documentation on fundamentals.
-
Take the GCP Fundamentals Quest.
Follow the Quickstart Guide for Kubernetes Engine
Show steps
The Quickstart Guide provides a hands-on experience with creating and managing a Kubernetes cluster on GKE, which will reinforce the concepts covered in the course.
Browse courses on
GKE
Show steps
-
Create a Google Cloud Platform project.
-
Enable the Kubernetes Engine API.
-
Create a Kubernetes cluster.
Join a study group or online forum for Kubernetes
Show steps
Engaging with other learners can provide support, different perspectives, and opportunities to discuss and clarify concepts.
Browse courses on
Kubernetes
Show steps
-
Find a study group or online forum dedicated to Kubernetes.
-
Participate in discussions and ask questions.
Three other activities
Expand to see all activities and additional details
Show all six activities
Deploy a sample application to Kubernetes
Show steps
Deploying an application to Kubernetes will provide practical experience with the concepts covered in the course.
Browse courses on
Kubernetes
Show steps
-
Create a Docker image of your application.
-
Create a Kubernetes deployment for your application.
-
Expose your application to the internet using a Kubernetes service.
Solve Kubernetes practice problems
Show steps
Solving practice problems will help you solidify your understanding of Kubernetes concepts and prepare you for real-world scenarios.
Browse courses on
Kubernetes
Show steps
-
Find practice problems on websites like HackerRank and LeetCode.
-
Solve the problems using the Kubernetes API or command-line tools.
Write a blog post or article about a Kubernetes topic
Show steps
Explaining a Kubernetes concept to others will reinforce your understanding and help you identify areas where you need further clarification.
Browse courses on
Kubernetes
Show steps
-
Choose a Kubernetes topic that you are familiar with.
-
Write a blog post or article explaining the topic in detail.
Review Google Cloud Platform Fundamentals
Show steps
Understanding the foundational principles of GCP will help you understand how GKE fits into the larger GCP ecosystem.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Review the GCP documentation on fundamentals.
- Take the GCP Fundamentals Quest.
Follow the Quickstart Guide for Kubernetes Engine
Show steps
The Quickstart Guide provides a hands-on experience with creating and managing a Kubernetes cluster on GKE, which will reinforce the concepts covered in the course.
Browse courses on
GKE
Show steps
Show steps
Show steps
- Create a Google Cloud Platform project.
- Enable the Kubernetes Engine API.
- Create a Kubernetes cluster.
Join a study group or online forum for Kubernetes
Show steps
Engaging with other learners can provide support, different perspectives, and opportunities to discuss and clarify concepts.
Browse courses on
Kubernetes
Show steps
Show steps
Show steps
- Find a study group or online forum dedicated to Kubernetes.
- Participate in discussions and ask questions.
Three other activities
Expand to see all activities and additional details
Show all six activities
Deploy a sample application to Kubernetes
Show steps
Deploying an application to Kubernetes will provide practical experience with the concepts covered in the course.
Browse courses on
Kubernetes
Show steps
Show steps
Show steps
- Create a Docker image of your application.
- Create a Kubernetes deployment for your application.
- Expose your application to the internet using a Kubernetes service.
Solve Kubernetes practice problems
Show steps
Solving practice problems will help you solidify your understanding of Kubernetes concepts and prepare you for real-world scenarios.
Browse courses on
Kubernetes
Show steps
Show steps
Show steps
- Find practice problems on websites like HackerRank and LeetCode.
- Solve the problems using the Kubernetes API or command-line tools.
Write a blog post or article about a Kubernetes topic
Show steps
Explaining a Kubernetes concept to others will reinforce your understanding and help you identify areas where you need further clarification.
Browse courses on
Kubernetes
Show steps
Show steps
Show steps
- Choose a Kubernetes topic that you are familiar with.
- Write a blog post or article explaining the topic in detail.
Career center
Learners who complete Architecting with Google Kubernetes Engine: Workloads auf Deutsch will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. They work with a variety of data technologies, including Kubernetes and GKE. This course may be helpful for Data Scientists who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Data Scientists, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They work with a variety of machine learning technologies, including Kubernetes and GKE. This course may be helpful for Machine Learning Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Machine Learning Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies, including Kubernetes and GKE. This course may be helpful for Software Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Software Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with a variety of data technologies, including Kubernetes and GKE. This course may be helpful for Data Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Data Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Cloud Architect
Cloud Architect
Cloud Architects design, deploy, and manage cloud computing systems. They ensure that these systems are scalable, reliable, and secure. This course may be helpful for Cloud Architects who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Cloud Architects, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They help to ensure that software is deployed and managed efficiently and reliably. This course may be helpful for DevOps Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to DevOps Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, deploy, and manage cloud computing systems. They work with a variety of cloud technologies, including Kubernetes and GKE. This course may be helpful for Cloud Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Cloud Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
DevSecOps Engineer
DevSecOps Engineer
DevSecOps Engineers work to integrate security into the software development process. They work with a variety of security technologies, including Kubernetes and GKE. This course may be helpful for DevSecOps Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to DevSecOps Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
IT Manager
IT Manager
IT Managers oversee the IT operations of an organization. They are responsible for the planning, implementation, and management of IT systems. This course may be helpful for IT Managers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to IT Managers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Security Engineer
Security Engineer
Security Engineers design, implement, and manage security systems. They ensure that systems are protected from unauthorized access and attacks. This course may be helpful for Security Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Security Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. They ensure that networks are reliable and secure. This course may be helpful for Network Engineers who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Network Engineers, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Systems Administrator
Systems Administrator
Systems Administrators manage computer systems and networks. They ensure that systems are up and running and that data is secure. This course may be helpful for Systems Administrators who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Systems Administrators, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Site Reliability Engineer
Site Reliability Engineer
Site Reliability Engineers (SREs) are responsible for the reliability and performance of software systems. They work to prevent outages and ensure that systems are always available. This course may be helpful for SREs who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to SREs, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Cloud Solutions Architect
Cloud Solutions Architect
Cloud Solutions Architects design, deploy, and manage cloud computing solutions. They work with a variety of cloud technologies, including Kubernetes and GKE. This course may be helpful for Cloud Solutions Architects who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Cloud Solutions Architects, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
Kubernetes Administrator
Kubernetes Administrator
Kubernetes Administrators are responsible for managing Kubernetes clusters. They ensure that clusters are up and running and that workloads are deployed and managed efficiently. This course may be helpful for Kubernetes Administrators who want to learn more about Kubernetes and GKE. The course covers a range of topics that are relevant to Kubernetes Administrators, including deploying containerized applications, managing Kubernetes clusters, and monitoring workloads.
For more career information including salaries, visit:
OpenCourser.com/course/nttqre/architecting
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: Workloads auf Deutsch.
Practical guide to Kubernetes, written by some of the project's creators. It covers installation, configuration, management, and troubleshooting.
Save
Provides a comprehensive overview of Kubernetes, covering core concepts, deployment strategies, networking, storage, and security. It great reference for beginners and experienced users alike.
Save
Provides a comprehensive overview of Kubernetes, covering topics such as architecture, deployment, management, and troubleshooting.
Provides a comprehensive guide to site reliability engineering. It covers topics such as incident management, performance engineering, and capacity planning.
Save
Provides a comprehensive guide to building and deploying cloud-native Java applications with Spring Boot and Kubernetes. It covers topics such as microservices, containerization, and continuous delivery.
Provides a practical guide to building microservices. It covers topics such as microservice design, API development, and testing.
Provides a concise overview of Google Cloud Platform, covering core services such as Compute Engine, Cloud Storage, and BigQuery.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nttqre/architecting
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
This course belongs to a
collection
called
Architecting with Google Kubernetes Engine auf Deutsch. It's comprised of four courses:
- Architecting with Google Kubernetes Engine: Production auf Deutsch
- Architecting with Google Kubernetes Engine: Foundations auf Deutsch
- Google Cloud Platform Fundamentals: Core Infrastructure auf Deutsch
- Architecting with Google Kubernetes Engine: Workloads auf Deutsch (viewing)
Good to know
Offers a thorough overview of Kubernetes operations, the essential components of GKE networks, and the deployment and management processes for containers
Provides practical guidance on using Google Kubernetes Engine, including hands-on labs that reinforce the concepts and skills taught
Designed for individuals seeking to gain a strong foundation in deploying and managing containerized applications using Kubernetes and GKE
Instructors from Google Cloud Training, renowned for their industry expertise and experience, lead the course
Covers persistent storage for Kubernetes workloads, ensuring data durability and availability
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