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Hello Node Kubernetes
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.
Register for this course and see more details by visiting:
OpenCourser.com/course/7x2700/hello
What's inside
Syllabus
Hello Node Kubernetes
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Hands-on, practical learning opportunity to create and deploy a Node.js application on Kubernetes
Taught by a renowned tech company, Google Cloud, with expertise in the field
Suitable for beginners seeking a foundation in deploying applications on Kubernetes
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Activities
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Hello Node Kubernetes.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Hello Node Kubernetes will develop knowledge and skills
that may be useful to these careers:
DevOps Engineer
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This role typically involves working with a variety of tools and technologies to automate the build, deployment, and testing of software applications. The "Hello Node Kubernetes" course can be helpful for DevOps Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Front-End Engineer
Front-End Engineer
A Front-End Engineer is a software developer responsible for the user interface of a website or application. This role typically involves working with HTML, CSS, and JavaScript to create visually appealing and user-friendly interfaces. The "Hello Node Kubernetes" course can be helpful for Front-End Engineers who want to learn how to deploy and scale their applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Full Stack Engineer
Full Stack Engineer
A Full-Stack Engineer is a software developer who works on both the front-end and back-end of a website or application. This role typically involves working with a variety of programming languages and technologies to build and maintain the entire application stack. The "Hello Node Kubernetes" course can be helpful for Full-Stack Engineers who want to learn how to deploy and scale their applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Back End Engineer
Back End Engineer
A Back-End Engineer is a software developer responsible for the server-side of a website or application. This role typically involves working with programming languages such as Java, Python, or Node.js to build and maintain the infrastructure that supports the application. The "Hello Node Kubernetes" course can be helpful for Back-End Engineers who want to learn how to deploy and scale their applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Cloud Engineer
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud-based infrastructure. This role typically involves working with a variety of cloud platforms and services to create and manage virtual machines, storage, and networking. The "Hello Node Kubernetes" course may be helpful for Cloud Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Data Scientist
Data Scientist
A Data Scientist is responsible for extracting insights from data. This role typically involves working with a variety of data analysis techniques and tools to identify patterns and trends in data. The "Hello Node Kubernetes" course may be helpful for Data Scientists who want to learn how to deploy and scale data science models on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Network Engineer
Network Engineer
A Network Engineer is responsible for designing, building, and maintaining computer networks. This role typically involves working with a variety of network technologies and protocols to create networks that meet specific requirements. The "Hello Node Kubernetes" course may be helpful for Network Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Software Architect
Software Architect
A Software Architect is responsible for designing and developing the overall architecture of a software system. This role typically involves working with a variety of stakeholders to gather requirements, define system boundaries, and create a high-level design for the system. The "Hello Node Kubernetes" course may be helpful for Software Architects who want to learn how to design and deploy scalable and reliable applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Systems Engineer
Systems Engineer
A Systems Engineer is responsible for designing, building, and maintaining complex systems. This role typically involves working with a variety of hardware and software components to create systems that meet specific requirements. The "Hello Node Kubernetes" course may be helpful for Systems Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Site Reliability Engineer
Site Reliability Engineer
A Site Reliability Engineer is responsible for ensuring the reliability and performance of a website or application. This role typically involves working with a variety of tools and technologies to monitor, troubleshoot, and resolve issues that affect the availability or performance of the application. The "Hello Node Kubernetes" course may be helpful for Site Reliability Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Technical Program Manager
Technical Program Manager
A Technical Program Manager is responsible for planning, executing, and delivering software development projects. This role typically involves working with a variety of stakeholders to define project scope, timelines, and budgets. The "Hello Node Kubernetes" course may be helpful for Technical Program Managers who want to learn how to plan and execute projects that involve deploying applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Security Engineer
Security Engineer
A Security Engineer is responsible for designing, building, and maintaining security systems. This role typically involves working with a variety of security technologies and protocols to create systems that protect against unauthorized access or attacks. The "Hello Node Kubernetes" course may be helpful for Security Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models. This role typically involves working with a variety of machine learning algorithms and techniques to create models that can predict outcomes or make decisions. The "Hello Node Kubernetes" course may be helpful for Machine Learning Engineers who want to learn how to deploy and scale machine learning models on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Product Manager
Product Manager
A Product Manager is responsible for defining and managing the roadmap for a software product. This role typically involves working with a variety of stakeholders to gather requirements, define product features, and track product progress. The "Hello Node Kubernetes" course may be helpful for Product Managers who want to learn how to develop and deliver products that are scalable and reliable on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This role typically involves working with a variety of data sources and technologies to extract, transform, and load data into a data warehouse or other data store. The "Hello Node Kubernetes" course may be helpful for Data Engineers who want to learn how to deploy and scale applications on Kubernetes. This course provides hands-on experience with creating a Node.js application, creating a Docker container from it, and deploying it to Kubernetes Engine.
For more career information including salaries, visit:
OpenCourser.com/course/7x2700/hello
Reading list
We've selected nine 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
Hello Node Kubernetes.
Save
Provides a comprehensive overview of Kubernetes for beginners. It covers everything from the basics of Kubernetes to advanced topics such as cluster management and security. It valuable resource for anyone who wants to learn more about Kubernetes or use it to manage containerized applications.
Provides a comprehensive overview of Kubernetes best practices. It covers everything from the basics of Kubernetes to advanced topics such as cluster management and security. It valuable resource for anyone who wants to learn more about Kubernetes or use it to manage containerized applications.
Practical guide to Kubernetes, focusing on how to use it to build and manage real-world applications. It valuable resource for anyone looking to get started with Kubernetes or learn how to use it effectively.
Save
Provides a practical guide to deploying and managing Kubernetes in production environments. It covers topics such as cluster management, security, and performance optimization. It valuable resource for anyone looking to learn how to use Kubernetes in the real world.
Save
Practical guide to using Kubernetes. It covers everything from installing and configuring Kubernetes to managing and troubleshooting containerized applications. It great resource for anyone who wants to get started with Kubernetes or learn more about how to use it.
Provides a comprehensive overview of cloud native DevOps with Kubernetes. It covers everything from the basics of Kubernetes to advanced topics such as continuous delivery and monitoring. It valuable resource for anyone who wants to learn more about cloud native DevOps or use it to manage containerized applications.
Save
Provides a comprehensive overview of Kubernetes Operators. It covers everything from the basics of Operators to advanced topics such as building and managing Operators. It valuable resource for anyone who wants to learn more about Operators or use them to manage containerized applications.
Is the second edition of Learning Kubernetes, a beginner-friendly introduction to Kubernetes. It covers the latest features and updates to Kubernetes, making it a valuable resource for anyone looking to get started with Kubernetes or learn its basics.
Beginner-friendly introduction to Kubernetes, covering its core concepts and how to use it to build and manage containerized applications. It valuable resource for anyone looking to get started with Kubernetes or learn its basics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7x2700/hello
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Hands-on, practical learning opportunity to create and deploy a Node.js application on Kubernetes
Taught by a renowned tech company, Google Cloud, with expertise in the field
Suitable for beginners seeking a foundation in deploying applications on Kubernetes
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