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Hansel Miranda

In this course, you learn about containers and how to build, and package container images.

The content in this course includes best practices for creating and securing containers, and

Read more

In this course, you learn about containers and how to build, and package container images.

The content in this course includes best practices for creating and securing containers, and

provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.

Enroll now

What's inside

Syllabus

Course Introduction
A brief introduction to the course structure, and it's contents.
Introduction to Containers
This module discusses the basics of containers and container images. You'll learn how to build and package applications into container images with Docker and Buildpacks, and learn about some of the continous integration and delivery tools to build container images. The module also reviews some of the best practices to create, test, and secure containers.
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Introduction to Cloud Run and Google Kubernetes Engine
This module introduces Cloud Run, it's features, and use cases for developing and running containerized applications. It also provided an introduction to Google Kubernetes Engine.
Course Review
Brief review of what was discussed in the course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides an introduction to Cloud Run, its features, and use cases for developing and running containerized applications
Offers hands-on labs and interactive materials
Guides learners in building and packaging container images with Docker and Buildpacks
Taught by Hansel Miranda, who is recognized for their work in containers and containerization

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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 Developing Containerized Applications on Google Cloud with these activities:
Mentoring other students in the course
Mentoring other students can help you solidify your understanding of course concepts and improve your communication skills.
Show steps
  • Identify students who need help.
  • Offer your assistance and support.
Follow Docker and Buildpacks tutorials
Going through Docker and Buildpacks tutorials will provide hands-on experience and reinforce your understanding of the course concepts.
Browse courses on Docker
Show steps
  • Identify the most relevant Docker and Buildpacks tutorials.
  • Follow the tutorials step-by-step.
  • Experiment with the commands and settings provided in the tutorials.
  • Share your experiences and ask questions in online forums or discussion groups.
Create a Dockerfile for a sample application
Creating a Dockerfile will provide you with practical experience in packaging an application into a container image, which is a key skill for developing containerized applications.
Browse courses on Dockerfile
Show steps
  • Identify a sample application.
  • Write a Dockerfile for the application.
  • Build the container image using the Dockerfile.
  • Verify that the container image runs successfully.
Two other activities
Expand to see all activities and additional details
Show all five activities
Practice writing YAML configuration files for Cloud Run and Kubernetes Engine
Practicing with YAML configuration files will improve your understanding of how to configure and deploy containerized applications in Cloud Run and Kubernetes Engine.
Browse courses on Cloud Run
Show steps
  • Identify the most common YAML configuration file settings.
  • Create a sample YAML configuration file for Cloud Run and Kubernetes Engine.
  • Test the YAML configuration file by deploying it to Cloud Run or Kubernetes Engine.
  • Troubleshoot any errors or issues that occur during deployment.
Develop a simple containerized web application
Developing a containerized web application will provide you with hands-on experience in the entire process of creating, deploying, and managing containerized applications.
Browse courses on Deployment
Show steps
  • Design and implement a simple web application.
  • Create a Dockerfile for the web application.
  • Build and push the container image to a container registry.
  • Deploy the containerized web application to Cloud Run.
  • Test the deployed web application and make any necessary adjustments.

Career center

Learners who complete Developing Containerized Applications on Google Cloud will develop knowledge and skills that may be useful to these careers:
Cloud Developer
A Cloud Developer is a software engineer who specializes in designing, developing, and managing cloud-based applications. With a solid understanding of containers and the skills to build and package container images, a Cloud Developer can use Google Kubernetes Engine and Cloud Run to deploy and manage containerized applications effectively. This course provides a great foundation for individuals aspiring to become Cloud Developers, equipping them with the knowledge and practices necessary to succeed in this role.
Docker Engineer
A Docker Engineer is a software professional who specializes in working with Docker, a containerization platform. They leverage their expertise in building, shipping, and running applications inside containers to ensure optimal performance and efficiency. By taking this course, individuals interested in pursuing a career as a Docker Engineer will gain a comprehensive understanding of containers, best practices for creating and securing containers, and practical experience with Docker. These skills are essential for success in this specialized role.
Kubernetes Administrator
A Kubernetes Administrator is a system administrator specializing in managing Kubernetes, an open-source container orchestration platform. Their primary responsibility is to ensure the stability, performance, and security of Kubernetes clusters. This course provides a great introduction to Google Kubernetes Engine, a managed Kubernetes service, helping individuals develop the skills and knowledge required to succeed as a Kubernetes Administrator.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. With a focus on automation and streamlining processes, a DevOps Engineer leverages containerization technologies to improve application deployment, maintenance, and scalability. This course provides a solid foundation for individuals aiming to become DevOps Engineers, as it delves into best practices for building and packaging container images, continuous integration, and the deployment of containerized applications using Cloud Run and Google Kubernetes Engine.
Cloud Architect
A Cloud Architect designs, plans, and manages cloud computing solutions. They possess a deep understanding of cloud platforms and technologies, including containerization. By leveraging their knowledge of Cloud Run and Google Kubernetes Engine gained from this course, Cloud Architects can effectively design and implement container-based solutions, ensuring scalability, reliability, and cost-effectiveness in cloud environments.
Software Engineer (Containers)
A Software Engineer (Containers) specializes in developing and managing containerized applications. They possess a strong understanding of containerization technologies, such as Docker and Kubernetes, and utilize their expertise to optimize application performance and efficiency. This course provides a comprehensive introduction to containers, best practices for creating and securing containers, and practical hands-on experience with Cloud Run and Google Kubernetes Engine, equipping individuals to excel in this specialized role.
Site Reliability Engineer (SRE)
A Site Reliability Engineer (SRE) ensures the reliability and performance of software systems. With a focus on automation and operational efficiency, SREs leverage containers to improve the agility, scalability, and resilience of distributed systems. This course provides a solid foundation for aspiring SREs, as it covers best practices for building and packaging container images, continuous integration, and the deployment and management of containerized applications using Cloud Run and Google Kubernetes Engine.
Full Stack Engineer
A Full-Stack Engineer is a software developer who works on both the front-end and back-end of software applications. With a focus on building and maintaining web applications, Full-Stack Engineers leverage containerization technologies to improve application performance, scalability, and portability. This course provides a great introduction to containers and best practices for creating and securing containers, enabling Full-Stack Engineers to effectively integrate containerization into their development process.
Application Developer
An Application Developer designs, develops, and maintains software applications. With a focus on delivering functional and efficient software solutions, Application Developers are increasingly utilizing containers to improve application performance, portability, and maintainability. This course provides a solid foundation for aspiring Application Developers, as it delves into best practices for building and packaging container images, continuous integration, and the deployment of containerized applications using Cloud Run and Google Kubernetes Engine.
Cloud Platform Engineer
A Cloud Platform Engineer designs, builds, and manages cloud platforms and infrastructure. With a deep understanding of cloud computing technologies, including containerization, Cloud Platform Engineers leverage their knowledge to optimize performance, scalability, and cost-effectiveness. This course provides a comprehensive overview of containers and best practices for creating and securing containers, enabling Cloud Platform Engineers to effectively integrate containerization into their cloud platform designs.
DevSecOps Engineer
A DevSecOps Engineer is responsible for integrating security into the software development lifecycle. With a focus on securing software applications and infrastructure, DevSecOps Engineers leverage containerization technologies to enhance the security posture of cloud-native applications. This course provides a solid foundation for aspiring DevSecOps Engineers, as it covers best practices for creating and securing containers, continuous integration, and the deployment of containerized applications using Cloud Run and Google Kubernetes Engine.
Systems Engineer
A Systems Engineer designs, develops, and maintains computer systems and networks. With a focus on ensuring system reliability, performance, and security, Systems Engineers leverage containerization technologies to improve system agility, scalability, and portability. This course provides a comprehensive introduction to containers and best practices for creating and securing containers, enabling Systems Engineers to effectively integrate containerization into their system designs.
Network Engineer
A Network Engineer designs, implements, and maintains computer networks. With a focus on ensuring network reliability, performance, and security, Network Engineers leverage containerization technologies to improve network agility, scalability, and portability. This course provides a comprehensive introduction to containers and best practices for creating and securing containers, enabling Network Engineers to effectively integrate containerization into their network designs.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. With a focus on managing and analyzing large datasets, Data Engineers leverage containerization technologies to improve data pipeline efficiency, scalability, and portability. This course provides a comprehensive introduction to containers and best practices for creating and securing containers, enabling Data Engineers to effectively integrate containerization into their data pipeline designs.
Security Engineer
A Security Engineer designs, implements, and maintains security systems and infrastructure. With a focus on protecting systems and data from cyber threats, Security Engineers leverage containerization technologies to enhance the security posture of cloud-native applications. This course provides a solid foundation for aspiring Security Engineers, as it covers best practices for creating and securing containers, continuous integration, and the deployment of containerized applications using Cloud Run and Google Kubernetes Engine.

Reading list

We've selected 14 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 Developing Containerized Applications on Google Cloud.
Provides a comprehensive overview of Docker, from its basic concepts to advanced topics such as container orchestration and security. It valuable resource for anyone looking to deepen their understanding of Docker.
Provides a comprehensive guide to Kubernetes, covering everything from its architecture and components to its deployment and management.
Provides a comprehensive guide to site reliability engineering, covering everything from its principles and practices to its implementation.
Provides a comprehensive guide to cloud computing, covering everything from its basics to its advanced features.
Fictionalized account of a company that successfully implements DevOps practices. It valuable resource for anyone looking to understand the benefits of DevOps and how to implement it in their own organization.
Provides a comprehensive guide to DevOps, covering everything from its principles and practices to its implementation.
Provides a comprehensive overview of cloud-native Java development. It covers topics such as microservices, containers, and serverless computing. It valuable resource for anyone looking to build cloud-native Java applications.
Provides a comprehensive overview of Elasticsearch, a distributed search and analytics engine. It covers topics such as indexing, searching, and aggregation. It valuable resource for anyone looking to use Elasticsearch for their application.
Provides a comprehensive overview of Apache Kafka, a distributed streaming platform. It covers topics such as message production, consumption, and stream processing. It valuable resource for anyone looking to use Kafka for their application.
Provides a detailed overview of data-intensive application design. It covers topics such as data modeling, consistency, and scalability. It valuable resource for anyone looking to build data-intensive applications.
Provides a detailed overview of software architecture. It covers topics such as layering, dependency inversion, and hexagonal architecture. It valuable resource for anyone looking to improve the design and maintainability of their software applications.
Provides a comprehensive overview of the Java programming language. It covers topics such as object-oriented programming, data structures, and algorithms. It valuable resource for anyone who is new to Java or wants to refresh their knowledge.
Provides a detailed overview of concurrency in Java. It covers topics such as threads, locks, and synchronization. It valuable resource for anyone who wants to write concurrent Java code.

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