Application Development with Cloud Run Course Overview

Application Development with Cloud Run Course Overview

The "Application Development with Cloud Run" course is designed to equip learners with the knowledge and skills necessary to build, deploy, and manage applications on Google Cloud's serverless platform, Cloud Run. The course provides a comprehensive overview of Cloud Run, emphasizing high availability, low end-user latency, and developer productivity as key architectural drivers for modern web applications. Learners will dive into container images and understand the benefits of serverless architectures on Google Cloud.

Through hands-on lessons, students will package applications into container images, learn about the shutdown lifecycle hook, implement versioning and traffic migration strategies, and configure service identity and authorization. The course also covers serving requests efficiently, implementing inbound and outbound access control, persisting data using various Google Cloud services, enabling service-to-service communication, and orchestrating workflows.

By the end of the course, participants will be proficient in deploying scalable, reliable, and secure applications with Cloud Run, thus enhancing their developer productivity and creating solutions that can automatically scale based on demand.

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  • Live Training (Duration : 24 Hours)
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  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for Application Development with Cloud Run

This course provides comprehensive training on Application Development with Cloud Run, tailored for professionals seeking to leverage serverless technology.


  • Software Developers and Engineers
  • DevOps Engineers
  • Cloud Solutions Architects
  • Systems Administrators transitioning to cloud roles
  • Technical Project Managers
  • Application Developers interested in serverless architectures
  • IT Professionals wanting to learn about Google Cloud’s serverless options
  • Backend Developers looking to build scalable web applications
  • Full Stack Developers interested in modern deployment practices
  • Site Reliability Engineers (SREs) focused on automation and scalability
  • Technical Leads overseeing application development teams
  • Data Analysts who need to understand backend infrastructures
  • Security Specialists concerned with secure application deployment and access control
  • Enterprise Architects planning cloud strategies and architecture
  • Technical Consultants providing advice on cloud solutions and serverless technology


Learning Objectives - What you will Learn in this Application Development with Cloud Run?

Introduction to Learning Outcomes:

Gain practical skills in deploying serverless applications using Google Cloud Run, focusing on containerization, auto-scaling, security, data persistence, and inter-service communication to build scalable web applications.

Learning Objectives and Outcomes:

  • Understand Cloud Run's role in achieving high availability, low latency, and enhanced developer productivity in serverless architectures.
  • Learn to deploy web applications using container images and manage the application lifecycle on Cloud Run.
  • Deepen knowledge of containerization, including the use of Buildpacks and Dockerfiles for packaging applications.
  • Implement auto-scaling and understand the benefits of on-demand container provisioning.
  • Configure service identities and apply fine-grained authorization for secure API calls to Google Cloud services.
  • Optimize web applications with Cloud CDN and utilize path-based routing for efficient request handling.
  • Set up inbound and outbound access controls to secure applications, including service account restrictions.
  • Connect applications with various Google Cloud data storage solutions such as Cloud SQL, Memorystore, Cloud Storage, Spanner, and Firestore.
  • Enable service-to-service communication with Cloud Pub/Sub and orchestrate asynchronous background tasks.
  • Integrate and automate serverless workflows with Cloud Workflows, modeling complex processes with conditional logic.

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