We may earn an affiliate commission when you visit our partners.
Course image
Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.

Enroll now

What's inside

Syllabus

Running a Node.js Container on Google Kubernetes Engine

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Container Engine, which is standard in the tech industry
Taught by recognized Google Cloud training professionals
Pays particular attention to Docker

Save this course

Save Running a Node.js Container on Google Kubernetes Engine to your list so you can find it easily later:
Save

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 Running a Node.js Container on Google Kubernetes Engine with these activities:
Review Docker Basics
Begin by refreshing your basic understanding of Docker to ensure you have a solid foundation for this course and its labs.
Browse courses on Docker
Show steps
  • Review the Docker documentation on getting started
  • Follow a tutorial on creating and running a basic Docker container
Build a Docker image for a Node.js application
Solidify your understanding of Docker image creation and the Dockerfile syntax by building a Docker image for a Node.js application.
Browse courses on Docker
Show steps
  • Write a Dockerfile for your Node.js application
  • Build your Docker image using Docker CLI
  • Push your Docker image to a registry
Explore Google Cloud Platform Console
Become familiar with the Google Cloud Platform (GCP) Console to prepare for the hands-on labs in this course.
Show steps
  • Sign up for a free GCP account
  • Explore the GCP console and its various services
  • Follow a tutorial on creating a new project in GCP
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice Using Docker Commands
Sharpen your Docker skills by practicing commands in a hands-on environment.
Show steps
  • Set up a local Docker environment
  • Practice running Docker commands to build, run, and manage containers
Run a Docker container on GKE
Familiarize yourself with the process of running a Docker container on GKE to enhance your understanding of the course's core concepts.
Browse courses on Docker
Show steps
  • Follow the Google Cloud tutorial on running a Docker container on GKE
  • Experiment with different Docker images and container configurations
Learn About Kubernetes Concepts
Gain a deeper understanding of Kubernetes, the container orchestration platform used in this course.
Show steps
  • Review the Kubernetes documentation on core concepts
  • Follow a tutorial on creating and managing a Kubernetes cluster
Deploy a simple containerized web application
Reinforce your understanding of container deployment and management by deploying a basic containerized web application.
Browse courses on Deployment
Show steps
  • Create a simple Node.js web application
  • Containerize your application using Docker
  • Deploy your containerized application to GKE
Design a Simple Containerized Application
Apply your understanding of Docker and Kubernetes by designing a containerized application.
Show steps
  • Choose a simple application or service to containerize
  • Design the Dockerfile and Kubernetes YAML files
Help Others in the Course
Enhance your understanding by helping others in the course through discussions and forums.
Show steps
  • Engage in discussions and answer questions
  • Provide peer support and guidance

Career center

Learners who complete Running a Node.js Container on Google Kubernetes Engine will develop knowledge and skills that may be useful to these careers:
Cloud Architect
Cloud Architects design, implement, and manage cloud computing systems. Google Kubernetes Engine is a managed service for running containerized applications on Google Cloud Platform. This course can provide Cloud Architects with insights into deploying and managing containerized applications on Google's cloud platform, enhancing their ability to design and manage cloud solutions.
DevOps Engineer
DevOps Engineers connect software development and IT operations. They collaborate with software developers to build, deploy, and maintain software from the development phase to the production stage. Knowledge of Docker containers and Kubernetes is essential for DevOps Engineers to manage and deploy software applications efficiently. This course can help you enhance your skills in container orchestration and management using Google Kubernetes Engine.
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing solutions. Knowledge of Docker and Kubernetes is highly sought after among Cloud Engineers. This course can equip you with the skills to run containerized applications on Google Kubernetes Engine, making you a more competitive candidate in the cloud engineering field.
Full-Stack Developer
Full-Stack Developers design and develop both the client-side and server-side components of web applications. Knowledge of containerization technologies like Docker and container orchestration tools like Kubernetes can be useful for Full-Stack Developers. This course can help you gain hands-on experience in deploying and managing Node.js applications using containers on Google Kubernetes Engine, enhancing your ability to handle the full lifecycle of web development.
Backend Developer
Backend Developers design and implement the server-side logic of web applications. Knowledge of containerization technologies like Docker and Kubernetes can be beneficial for Backend Developers. This course can help you gain hands-on experience in running Node.js applications using containers on Google Kubernetes Engine, enhancing your skills in deploying and managing backend systems.
Web Developer
Web Developers design and develop websites and web applications. Understanding containerization technologies like Docker and container orchestration tools like Kubernetes can be beneficial for Web Developers. This course can help you gain practical experience in deploying and managing Node.js web applications on Google Kubernetes Engine, enhancing your ability to build and maintain scalable and efficient web systems.
SRE
SREs (Site Reliability Engineers) ensure the reliability and performance of software systems. Knowledge of container technologies like Docker and container orchestration tools like Kubernetes is important for SREs. This course can provide you with practical experience in managing Node.js applications running on Google Kubernetes Engine, improving your ability to monitor, troubleshoot, and maintain cloud-based systems.
Software Engineer
Software Engineers design and develop software applications using different programming languages and technologies. Docker containers and Kubernetes Engine are useful for deploying and managing software applications across multiple cloud environments. Google Kubernetes Engine offers a managed service for running containerized applications. Taking this course can help you build foundational knowledge and expertise in running containerized applications on Google Kubernetes Engine.
Data Engineer
Data Engineers design and develop data pipelines and systems. Understanding container technologies like Docker and container orchestration tools like Kubernetes can be beneficial for Data Engineers. This course can help you gain hands-on experience in deploying and managing data processing applications using containers on Google Kubernetes Engine, enhancing your ability to build and maintain scalable and efficient data pipelines.
DevSecOps Engineer
DevSecOps Engineers integrate security into the software development lifecycle. Knowledge of container technologies like Docker and container orchestration tools like Kubernetes is important for DevSecOps Engineers. This course can provide you with practical experience in securing Node.js applications running on Google Kubernetes Engine, enhancing your ability to build and maintain secure cloud-based systems.
Systems Administrator
Systems Administrators manage and maintain computer systems, ensuring their efficient and reliable operation. Understanding container technologies like Docker and container orchestration tools like Kubernetes is important for Systems Administrators. This course can provide you with practical experience in managing Node.js applications running on Google Kubernetes Engine, improving your ability to manage and maintain cloud-based systems.
Cloud Security Engineer
Cloud Security Engineers design and implement security measures for cloud computing environments. Knowledge of container technologies like Docker and container orchestration tools like Kubernetes is important for Cloud Security Engineers. This course can provide you with practical experience in securing Node.js applications running on Google Kubernetes Engine, enhancing your ability to build and maintain secure cloud-based systems.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. Knowledge of container technologies like Docker and container orchestration tools like Kubernetes can be beneficial for Machine Learning Engineers. This course can help you gain hands-on experience in deploying and managing machine learning models using containers on Google Kubernetes Engine, enhancing your ability to build and maintain scalable and efficient machine learning systems.
DBA
DBAs (Database Administrators) manage and maintain database systems. Understanding container technologies like Docker and container orchestration tools like Kubernetes can be beneficial for DBAs. This course can provide you with practical experience in deploying and managing database applications using containers on Google Kubernetes Engine, enhancing your ability to build and maintain scalable and efficient database systems in the cloud.
Network Engineer
Network Engineers design, implement, and manage computer networks. Understanding container technologies like Docker and container orchestration tools like Kubernetes can be beneficial for Network Engineers. This course can provide you with insights into the networking aspects of deploying and managing containerized applications on Google Kubernetes Engine, enhancing your ability to design and manage cloud-based networks.

Reading list

We've selected six 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 Running a Node.js Container on Google Kubernetes Engine.
Provides a comprehensive guide to Kubernetes. It covers a wide range of topics, including Kubernetes architecture, Kubernetes deployment, and Kubernetes operations.
Provides a comprehensive guide to Docker for developers and administrators. It covers a wide range of topics, including Docker architecture, Docker networking, and Docker security.
Provides a comprehensive guide to building and deploying custom Kubernetes operators. It covers a wide range of topics, including operator design, implementation, and testing.
Provides a practical guide to using Docker in production environments. It covers a wide range of topics, including container security, container networking, and container monitoring.
Provides a practical guide to designing and implementing Node.js applications using design patterns. It covers a wide range of design patterns, including creational, structural, and behavioral patterns.
Provides a practical guide to building Node.js web applications. It covers a wide range of topics, including web development fundamentals, Node.js frameworks, and database integration.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Running a Node.js Container on Google Kubernetes Engine.
Using OpenTSDB to Monitor Time-Series Data on Cloud...
Getting Started with Splunk Cloud GDI on Google Cloud
Developing with Cloud Run
Getting Started with NetApp Cloud Manager & Cloud Volumes...
Datastore: Qwik Start
Using Elastic Stack to Monitor Google Cloud
Cloud Functions: Qwik Start - Console
Cloud Storage: Qwik Start - Cloud Console
Build a Google Workspace Add-on with Node.js and Cloud Run
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser