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Serverless Django with Docker & Google Cloud Run

4.1 Filled star Filled star Filled star Filled star Empty star
Based on 77 ratings
see reviews
Justin Mitchel

Deploy a production-ready Serverless Django Application by using a Docker Container, Google Cloud Build, Google Cloud SQL, & Google Cloud Run.

Serverless allows us to focus on our code and deploy more. What's better, our serverless applications only cost us money when they're used.

Docker Containers make it easy to create our own isolated environment on the operating system level. This is exactly what we need in so many applications.

Learn to build and deploy a serverless Django application on Google Cloud Platform's Cloud Run service.

Read more

Deploy a production-ready Serverless Django Application by using a Docker Container, Google Cloud Build, Google Cloud SQL, & Google Cloud Run.

Serverless allows us to focus on our code and deploy more. What's better, our serverless applications only cost us money when they're used.

Docker Containers make it easy to create our own isolated environment on the operating system level. This is exactly what we need in so many applications.

Learn to build and deploy a serverless Django application on Google Cloud Platform's Cloud Run service.

Serverless apps using containers is seriously amazing. Let's see why.

We'll cover:

  • Minimal Dockerfile for Containerizing Django

  • Cloud Build

  • Cloud SQL with Postgres

  • Cloud SQL Proxy for Local Dev Access

  • Cloud Run

Enroll now

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What's inside

Learning objectives

  • Django deployment
  • Django settings modules for local & production deployment
  • Google cloud run & build
  • Google cloud sql for django
  • Cloud sql proxy for local access to production database
  • Serverless applications

Syllabus

Welcome
Requirements
Base Django Project
Virtual Environment with Pipenv & VSCode Project Setup
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses Docker containers, which provide isolated environments, making it easier to manage dependencies and ensure consistency across different deployment environments
Employs Google Cloud Run, which allows developers to deploy containerized applications without managing the underlying infrastructure, reducing operational overhead
Integrates Google Cloud SQL, a fully managed relational database service, simplifying database administration tasks such as backups, replication, and scaling
Emphasizes serverless architecture, which enables developers to focus on writing code without worrying about server management, leading to increased productivity
Requires familiarity with Docker, Django, and Google Cloud Platform, which may pose a challenge for beginners without prior experience in these technologies
Utilizes Cloud SQL Proxy for local development, which requires installing and configuring additional tools, potentially adding complexity to the development workflow

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Reviews summary

Practical serverless django on google cloud

According to learners, this course provides a highly practical, step-by-step guide for deploying Django applications serverlessly using Docker and Google Cloud Run. Students particularly highlight the clarity of the instructor's explanations and the effectiveness of the hands-on approach, which covers essential services like Cloud SQL and Cloud Build. While the dynamic nature of cloud platforms means some minor adjustments may be needed due to GCP updates, the core principles and detailed process for integration are widely praised for enabling successful production deployment. It is generally considered easy to follow, especially for those familiar with Django basics.
Well-paced and easy to follow
"The course is well-paced and doesn't rush through topics."
"Easy to follow along, even when introducing new technologies."
"The pace is just right, allowing time to absorb the information."
Covers essential services integration
"Covers essential parts like Cloud SQL, Cloud Build, and Cloud Run integration with Django."
"I liked how it integrated Django with Docker and GCP services."
"The modules on Cloud SQL proxy and Cloud Build were very helpful."
Effective learning through practice
"The hands-on approach is very effective; you build along with the instructor."
"Building and deploying alongside the course helped solidify my understanding."
"It provides hands-on experience with Docker and Cloud Run."
"Very practical and covers the necessary steps in a hands-on way."
Instructor explains concepts clearly
"The instructor is clear and concise, making complex topics easy to understand."
"The instructor explains each part very well."
"Excellent course and the instructor is very good in explaining the topic and his demos."
"The lectures were well presented and easy to follow."
Steps needed for serverless deployment
"This course covered exactly what I needed to know to take my Django app and get it deployed on Google Cloud Run."
"Finally got my serverless setup working with Django, Docker, and GCP thanks to this course."
"The course walked me through the practical steps needed for deployment."
"It is excellent for the purpose of getting a production-ready serverless django app out there."
Minor adjustments needed for platform changes
"Some steps required minor adjustments due to updates in the Google Cloud Console interface or services."
"It's a little dated in some parts because GCP changes so often, but still very usable."
"Had to troubleshoot a few steps because the platform had evolved since the course was recorded."

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 Serverless Django with Docker & Google Cloud Run with these activities:
Review Docker Fundamentals
Solidify your understanding of Docker concepts before diving into containerizing Django applications.
Browse courses on Docker
Show steps
  • Read Docker's official documentation.
  • Complete a basic Docker tutorial.
  • Experiment with Docker commands.
Brush up on Django Settings
Review Django settings and environment variables to better understand production deployment.
Browse courses on Django
Show steps
  • Review Django's settings documentation.
  • Study how to use environment variables.
  • Practice configuring Django settings.
Read 'Two Scoops of Django'
Learn Django best practices to improve your Django application's architecture and maintainability.
View Putting Knowledge to Work on Amazon
Show steps
  • Read the book cover to cover.
  • Take notes on key concepts.
  • Apply the practices to your project.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow Google Cloud Run Tutorials
Deepen your understanding of Google Cloud Run by working through official tutorials and examples.
Show steps
  • Find tutorials on Google Cloud's website.
  • Follow the tutorials step by step.
  • Adapt the tutorials to your project.
Deploy a Minimal Django App to Cloud Run
Reinforce your learning by deploying a simple Django application to Google Cloud Run from scratch.
Show steps
  • Create a basic Django project.
  • Containerize the application with Docker.
  • Deploy the container to Cloud Run.
Read 'Cloud Native Patterns'
Understand cloud-native patterns to design more scalable and resilient serverless Django applications.
View Cloud Native Patterns: Designing change... on Amazon
Show steps
  • Read the book and take notes.
  • Identify relevant patterns.
  • Consider how to apply them to Django.
Contribute to a Django Open Source Project
Gain practical experience and contribute to the Django community by working on an open-source project.
Show steps
  • Find a Django project on GitHub.
  • Identify an issue to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete Serverless Django with Docker & Google Cloud Run will develop knowledge and skills that may be useful to these careers:
DevOps Engineer
DevOps Engineers automate and streamline software development and deployment processes. This course directly addresses the core responsibilities of a DevOps Engineer by teaching how to deploy a production-ready serverless Django application using Docker containers, Google Cloud Build, and Google Cloud Run. The course helps in understanding containerization, continuous integration, and continuous deployment pipelines. It specifically demonstrates how to use Dockerfiles, Cloud Build, and Cloud Run to automate the deployment process. This practical experience is invaluable for a DevOps Engineer, as it provides a foundation for building and managing scalable and reliable applications in the cloud.
See salaries and explore the career path for DevOps Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud infrastructure. This often involves working with containerization technologies and serverless architectures to ensure applications are scalable, reliable, and cost-effective. This course helps the aspiring Cloud Engineer by providing hands-on experience with Docker containers, Google Cloud Build, Google Cloud SQL, and Google Cloud Run, all essential tools and platforms in modern cloud deployments. The course's focus on deploying serverless Django applications directly translates to real-world scenarios faced by Cloud Engineers. The student also gains a practical understanding of setting up production environments on Google Cloud Platform.
See salaries and explore the career path for Cloud Engineer
Software Engineer
Software Engineers design, develop, and test software applications. This course helps the aspiring Software Engineer by providing practical experience in deploying a Django application using Docker containers and Google Cloud services. The course teaches how to set up a production-ready environment, configure Django settings, and manage databases with Google Cloud SQL. The learning objective of Google Cloud Run and Build is notably relevant. This knowledge enables the Software Engineer to build and deploy scalable and maintainable applications in the cloud.
See salaries and explore the career path for Software Engineer
Full-Stack Developer
A Full Stack Developer works on both the front-end and back-end of web applications. This course helps the Full Stack Developer by providing the skills to deploy a Django application using Docker containers and Google Cloud services. The course teaches how to set up a production-ready environment, configure Django settings for local and production deployments, and manage databases using Google Cloud SQL. The learning objective of Google Cloud Run and Build is notably relevant. This knowledge enables the Full Stack Developer to handle the entire deployment pipeline, from development to production.
See salaries and explore the career path for Full-Stack Developer
Application Developer
Application Developers build and maintain software applications. This course sets one up for success as an Application Developer, diving into the world of deploying Django applications using Docker containers and Google Cloud services. The course provides a practical understanding of setting up production environments, configuring Django settings, and managing databases with Google Cloud SQL. The learning objective of Google Cloud Run and Build is relevant, as it focuses on automating deployments and managing the application lifecycle. This knowledge is applicable to building and deploying applications in the cloud.
See salaries and explore the career path for Application Developer
Backend Developer
Backend Developers are responsible for the server-side logic and database interactions of web applications. This course helps the Backend Developer by providing hands-on experience with deploying a Django application to Google Cloud Platform. The course dives into using Google Cloud SQL for database management and setting up Django settings modules for both local and production environments. The learning objective of Google Cloud Run and Build is also valuable. By learning how to deploy serverless applications with Docker containers, an aspiring Backend Developer can build scalable and maintainable applications.
See salaries and explore the career path for Backend Developer
Platform Engineer
Platform Engineers build and maintain the infrastructure and tools that support software development and deployment. This course provides a deep understanding of deploying applications with Docker containers on Google Cloud. Platform engineers benefit from the hands-on experience with Google Cloud Build, Google Cloud SQL, and Google Cloud Run, as these are common tools for platform automation and scalability. This course's coverage of building and deploying serverless Django applications directly contributes to a platform engineer's ability to create robust and efficient development environments.
See salaries and explore the career path for Platform Engineer
Solutions Architect
Solutions Architects design and implement cloud-based solutions for businesses. This course helps the aspiring Solutions Architect by providing practical experience with deploying Django applications on Google Cloud Platform using Docker containers and serverless technologies. The course emphasizes the importance of understanding how to use Cloud Build, Cloud SQL, and Cloud Run to create scalable and cost-effective solutions. The student also gains a deeper understanding of Google Cloud Platform's capabilities and how to leverage them to build robust and reliable applications. This knowledge allows the Solutions Architect to design effective cloud solutions that meet business requirements.
See salaries and explore the career path for Solutions Architect
Site Reliability Engineer
Site Reliability Engineers ensure the reliability and performance of software systems in production. This course helps the future Site Reliability Engineer by demonstrating how to deploy a Django application in a serverless environment using Docker containers and Google Cloud services. The course teaches valuable skills in containerization, deployment automation, and cloud infrastructure management. The learning objective of Google Cloud Run and Build is especially relevant, as it focuses on using Cloud Build and Cloud Run to automate deployments and manage the application lifecycle. Such knowledge is essential for maintaining the reliability and stability of applications in production.
See salaries and explore the career path for Site Reliability Engineer
Systems Administrator
Systems Administrators oversee the configuration, maintenance, and security of computer systems and servers. Though traditionally focused on on-premises infrastructure, modern Systems Administrators increasingly manage cloud-based systems. This course helps the Systems Administrator by providing experience with Docker containers and Google Cloud services, essential for managing cloud deployments and modern infrastructure. The course teaches practical skills in setting up production environments, managing databases with Google Cloud SQL, and automating deployments with Cloud Build and Cloud Run. This is valuable in managing and maintaining cloud infrastructure effectively.
See salaries and explore the career path for Systems Administrator
Technical Lead
Technical Leads guide and mentor development teams, providing technical direction and oversight. This course helps the aspiring Technical Lead by providing hands-on experience deploying a Django application using Docker containers and Google Cloud services. The course teaches how to set up production environments, manage databases with Google Cloud SQL, and automate deployments using Cloud Build and Cloud Run. The learning objective of Google Cloud Run and Build is especially relevant. This knowledge equips the Technical Lead to make informed decisions about technology choices and deployment strategies.
See salaries and explore the career path for Technical Lead
Cloud Consultant
Cloud Consultants advise organizations on how to leverage cloud technologies to improve their operations. This course may be useful to the aspiring Cloud Consultant by providing practical knowledge of deploying Django applications on Google Cloud Platform using Docker containers and serverless architectures. The course covers essential topics such as containerization, cloud deployment strategies, and database management with Google Cloud SQL. The student benefits from a practical understanding of how to build and deploy scalable applications in the cloud. This knowledge allows the Cloud Consultant to provide effective and informed recommendations to clients.
See salaries and explore the career path for Cloud Consultant
Cloud Security Engineer
Cloud Security Engineers focus on securing cloud infrastructure and applications. This course may be helpful to one hoping to become a Cloud Security Engineer when it comes to the principles of deploying applications securely on Google Cloud Platform using Docker containers and serverless architectures. The course touches upon essential aspects of cloud deployment, such as using Cloud SQL, and Cloud Run, which are fundamental to securing cloud-based applications. This foundational knowledge is valuable for understanding the security implications of different deployment strategies.
See salaries and explore the career path for Cloud Security Engineer
Software Architect
Software Architects design the overall structure and components of software systems. The understanding of serverless architectures, Docker containers, and cloud deployment strategies are essential for efficient application deployment. This course may guide aspiring Software Architects in designing scalable and cost-effective solutions by teaching how to deploy a Django application on Google Cloud Run. By exploring the use of Dockerfiles, Cloud Build, and Cloud SQL, one gains insights into the architectural considerations that influence software development lifecycles. The module on Docker containers is particularly insightful for building robust software applications.
See salaries and explore the career path for Software Architect
Data Engineer
Data Engineers design, build, and maintain the infrastructure for data storage and processing. While this course focuses on deploying web applications, the skills learned are transferable to data-related projects. This course may be helpful to the aspiring Data Engineer when it comes to understanding how to deploy applications using Docker containers and Google Cloud services. The course touches essential aspects of cloud deployment, such as using Cloud SQL, which could hold the data used in the applications a Data Engineer works with. This foundational knowledge may be valuable in understanding and managing cloud infrastructure for data applications.
See salaries and explore the career path for Data Engineer

Reading list

We've selected two 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 Serverless Django with Docker & Google Cloud Run.
Cover image
Putting Knowledge to Work
Save
Provides a comprehensive guide to Django best practices. It covers topics such as project layout, settings management, and deployment strategies. While not strictly focused on serverless, it offers valuable insights into building robust and maintainable Django applications. This book is best used as additional reading to deepen your understanding of Django.
Putting Knowledge to Work
Paperback
Check
Putting Knowledge to Work
Kindle Edition
Check
Cover image
Cloud Native Patterns
Save
Explores patterns for building cloud-native applications. It covers topics such as microservices, containerization, and continuous delivery. While not Django-specific, it provides a broader context for understanding the architectural considerations of serverless deployments. This book is best used as additional reading to broaden your understanding of cloud-native architectures.
Cloud Native Patterns: Designing change-tolerant...
Paperback
$$
Cloud Native Patterns: Designing change-tolerant...
Kindle Edition
$$

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Course image
Rating
4.1 Filled star Filled star Filled star Filled star Empty star
Effort
2.5 total hours
Via
Udemy
Instructor
Justin Mitchel
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Uses Docker containers, which provide isolated environments, making it easier to manage dependencies and ensure consistency across different deployment environments
Employs Google Cloud Run, which allows developers to deploy containerized applications without managing the underlying infrastructure, reducing operational overhead
Integrates Google Cloud SQL, a fully managed relational database service, simplifying database administration tasks such as backups, replication, and scaling
Emphasizes serverless architecture, which enables developers to focus on writing code without worrying about server management, leading to increased productivity
Requires familiarity with Docker, Django, and Google Cloud Platform, which may pose a challenge for beginners without prior experience in these technologies
Utilizes Cloud SQL Proxy for local development, which requires installing and configuring additional tools, potentially adding complexity to the development workflow
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