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Architecting with Google Kubernetes Engine
Foundations
Google Cloud
Google Cloud
In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
Read more
In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
Read more
In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes. This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Workloads course.
Register for this course and see more details by visiting:
OpenCourser.com/course/zqi5vl/architecting
What's inside
Syllabus
Course Introduction for Course 1
Introduction to Google Cloud
Introduction to Containers and Kubernetes
Kubernetes Architecture
Read more
Syllabus
Course Introduction for Course 1
Introduction to Google Cloud
Introduction to Containers and Kubernetes
Kubernetes Architecture
Read more
Course Resources
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches core concepts of Google Cloud and containerization with a primary focus on Kubernetes
Suitable for learners who want to build a foundation in Google Kubernetes Engine (GKE)
Introduces learners to the creation and management of software containers
Covers fundamental concepts of Kubernetes architecture
Taught by Google Cloud, recognized for its expertise in cloud computing
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Activities
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Architecting with Google Kubernetes Engine: Foundations.
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Career center
Learners who complete Architecting with Google Kubernetes Engine: Foundations will develop knowledge and skills
that may be useful to these careers:
Container Engineer
Container Engineer
Container Engineers are responsible for designing, developing, and deploying software containers. They work to ensure that containers are secure and efficient, and that they meet the desired requirements. Container Engineers may also be responsible for managing the infrastructure that supports containers. This course may be useful for Container Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern container engineering practices.
Kubernetes Administrator
Kubernetes Administrator
Kubernetes Administrators are responsible for managing Kubernetes clusters. They work to ensure that clusters are configured and operated in a secure and efficient manner. Kubernetes Administrators may also be responsible for troubleshooting and resolving issues with Kubernetes clusters. This course may be useful for Kubernetes Administrators, as it provides an introduction to the principles of Google Cloud and Kubernetes. These are essential technologies for modern Kubernetes administration.
Backend Engineer
Backend Engineer
Backend Engineers are responsible for designing, developing, and deploying the backend of software applications. They work to ensure that the backend is scalable, reliable, and secure. Backend Engineers may also be responsible for managing the infrastructure that supports the backend. This course may be useful for Backend Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern backend engineering practices.
Site Reliability Engineer
Site Reliability Engineer
Site Reliability Engineers are responsible for ensuring that software systems are reliable and scalable. They work to identify and resolve performance issues, and to improve the overall reliability of software systems. This course may be useful for Site Reliability Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern site reliability engineering practices.
DevOps Engineer
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to ensure that software is developed and deployed in a timely and efficient manner. DevOps Engineers may also be responsible for managing the infrastructure that supports software applications. This course may be useful for DevOps Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern DevOps practices.
DevSecOps Engineer
DevSecOps Engineer
DevSecOps Engineers are responsible for integrating security into the development and operations processes. They work to ensure that software applications are secure throughout their entire lifecycle. DevSecOps Engineers may also be responsible for managing the infrastructure that supports software applications. This course may be useful for DevSecOps Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern DevSecOps practices.
Cloud Software Engineer
Cloud Software Engineer
Cloud Software Engineers design, develop, and deploy software applications in the cloud. They work to ensure that applications are scalable, reliable, and secure. Cloud Software Engineers may also be responsible for managing the infrastructure that supports cloud applications. This course may be useful for Cloud Software Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern cloud software engineering practices.
Data Scientist
Data Scientist
Data Scientists are responsible for analyzing data to extract insights and make predictions. They work to develop machine learning models and other data-driven solutions. Data Scientists may also be responsible for managing the infrastructure that supports data science workloads. This course may be useful for Data Scientists, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern data science practices.
Frontend Engineer
Frontend Engineer
Frontend Engineers are responsible for designing, developing, and deploying the frontend of software applications. They work to ensure that the frontend is user-friendly, responsive, and secure. Frontend Engineers may also be responsible for managing the infrastructure that supports the frontend. This course may be useful for Frontend Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern frontend engineering practices.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They work to ensure that machine learning models are accurate, reliable, and scalable. Machine Learning Engineers may also be responsible for managing the infrastructure that supports machine learning workloads. This course may be useful for Machine Learning Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern machine learning engineering practices.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information systems from cyber threats. They work to identify and mitigate security risks, and to develop and implement security policies. Information Security Analysts may also be responsible for managing the infrastructure that supports information systems. This course may be useful for Information Security Analysts, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern information security practices.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, developing, and deploying data pipelines. They work to ensure that data pipelines are scalable, reliable, and secure. Data Engineers may also be responsible for managing the infrastructure that supports data pipelines. This course may be useful for Data Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern data engineering practices.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud-based solutions. They work with stakeholders to gather requirements, and then translate those requirements into a technical design. Cloud Architects may also be responsible for managing the deployment and operation of cloud-based solutions. This course may be useful for Cloud Architects, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern cloud architecture.
Software Architect
Software Architect
Software Architects design and implement the overall software architecture of a system. They work with stakeholders to gather requirements, and then translate those requirements into a technical design. Software Architects may also be responsible for managing the development process, and ensuring that the final product meets the desired requirements. This course may be useful for Software Architects, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern software architecture.
Full Stack Engineer
Full Stack Engineer
Full Stack Engineers are responsible for designing, developing, and deploying software applications. They work on both the front-end and back-end of applications, and they ensure that applications are scalable, reliable, and secure. Full Stack Engineers may also be responsible for managing the infrastructure that supports applications. This course may be useful for Full Stack Engineers, as it provides an introduction to the principles of Google Cloud, containers, and Kubernetes. These are all essential technologies for modern full stack engineering practices.
For more career information including salaries, visit:
OpenCourser.com/course/zqi5vl/architecting
Reading list
We've selected ten 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.
Comprehensive guide to Kubernetes, covering architecture, concepts, and best practices.
Save
In-depth technical guide to Kubernetes, suitable as a reference or for advanced understanding.
Comprehensive guide to site reliability engineering principles and practices, providing a broader context for managing Kubernetes clusters.
Practical guide to DevOps practices for Kubernetes environments, including CI/CD and security.
Save
Provides a practical introduction to Docker, covering its installation, configuration, and use in various development scenarios. It good resource for beginners who want to learn the basics of containerization with Docker.
Save
Guide to developing Java applications for cloud-native environments, including Kubernetes.
Save
Provides a practical guide to DevOps practices, covering topics such as culture, collaboration, and toolchain integration. It valuable resource for organizations looking to improve their software development and delivery processes.
Save
Provides a comprehensive overview of cloud computing, covering its concepts, technologies, and architectures. It valuable resource for anyone who wants to gain a deep understanding of cloud computing and its implications.
Provides a comprehensive overview of the architecture of open source applications. It covers topics such as design patterns, software quality, and security.
Save
Provides a comprehensive overview of data-intensive applications, covering topics such as data modeling, storage, and processing. It valuable resource for architects and developers who want to design and build scalable and efficient data-intensive systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zqi5vl/architecting
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Time
121 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
Teaches core concepts of Google Cloud and containerization with a primary focus on Kubernetes
Suitable for learners who want to build a foundation in Google Kubernetes Engine (GKE)
Introduces learners to the creation and management of software containers
Covers fundamental concepts of Kubernetes architecture
Taught by Google Cloud, recognized for its expertise in cloud computing
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