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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will connect Cloud Functions and Cloud Run services with Workflows and connect two public Cloud Functions services, one private Cloud Run service, and an external public HTTP API into a workflow.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops professional skills in cloud workflows by connecting services like Cloud Functions, Cloud Run, and external APIs
Empowers learners with hands-on experience through self-paced labs performed in the Google Cloud console
Taught by Google Cloud Training, a recognized authority in the field
Practical approach aligns with industry needs and showcases real-world application of cloud services
Targeted at developers with prior experience in cloud computing

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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 Serverless Orchestration with Workflows with these activities:
Review Cloud Functions and Cloud Run documentation
Refresh your understanding of Cloud Functions and Cloud Run by revisiting the documentation.
Browse courses on Google Cloud Functions
Show steps
  • Visit the Google Cloud Functions documentation
  • Explore the Cloud Run documentation
  • Review specific sections relevant to the course
Learn about Google Cloud Functions and Cloud Run
Review the basics of Google Cloud Functions and Cloud Run to enhance your understanding of the course materials.
Browse courses on Google Cloud Functions
Show steps
  • Visit the Google Cloud Functions documentation
  • Explore the Cloud Run documentation
  • Review sample code and tutorials
Join a study group or online forum
Engage with fellow learners by joining a study group or online forum to discuss course concepts and exchange knowledge.
Show steps
  • Identify and join a relevant study group or online forum
  • Participate in discussions and ask questions
  • Share your insights and knowledge with others
Six other activities
Expand to see all activities and additional details
Show all nine activities
Experiment with Google Cloud Functions and Cloud Run
Gain hands-on experience by creating and deploying your own Google Cloud Functions and Cloud Run services.
Browse courses on Google Cloud Functions
Show steps
  • Create a simple HTTP function in Google Cloud Functions
  • Deploy the function to Cloud Run
  • Test the deployed function
Practice Cloud Functions and Cloud Run tasks
Practice writing and deploying Cloud Functions and Cloud Run services to reinforce your understanding of how they work.
Browse courses on Cloud Functions
Show steps
  • Create a simple Cloud Function
  • Create a simple Cloud Run service
  • Deploy both services to the cloud
Explore advanced features of Google Cloud Functions and Cloud Run
Expand your knowledge by delving into advanced features of Google Cloud Functions and Cloud Run.
Browse courses on Google Cloud Functions
Show steps
  • Learn about advanced function triggers
  • Explore Cloud Run service configuration options
  • Review best practices for production deployments
Write a blog post or article about your experience
Share your knowledge and solidify your understanding by writing about your experiences with Google Cloud Functions and Cloud Run.
Show steps
  • Choose a topic related to the course materials
  • Research and gather information
  • Write and edit your blog post or article
Build a project using Google Cloud Functions and Cloud Run
Apply your skills by building a project that incorporates Google Cloud Functions and Cloud Run.
Browse courses on Google Cloud Functions
Show steps
  • Define a project goal and scope
  • Design the project architecture
  • Develop and deploy the project
  • Test and evaluate the project
Participate in a hackathon or coding challenge related to Google Cloud Functions or Cloud Run
Challenge yourself and showcase your skills by participating in a hackathon or coding challenge centered around Google Cloud Functions or Cloud Run.
Browse courses on Google Cloud Functions
Show steps
  • Find a relevant hackathon or coding challenge
  • Form a team or work independently
  • Develop and submit your project

Career center

Learners who complete Serverless Orchestration with Workflows will develop knowledge and skills that may be useful to these careers:
Workflow Engineer
Serverless Orchestration with Workflows is a highly relevant course for you as a Workflow Engineer. It provides hands-on experience in designing, building, and managing automated workflows, allowing you to streamline processes, improve efficiency, and reduce operational costs.
Software Architect
As a Software Architect, Serverless Orchestration with Workflows can help you design and build scalable, resilient, and maintainable cloud-based applications by providing tools to automate workflows, manage dependencies, and optimize resource utilization.
Site Reliability Engineer
If you are a Site Reliability Engineer responsible for maintaining and improving the reliability of cloud-based systems, Serverless Orchestration with Workflows can help you automate tasks, monitor performance, and quickly resolve issues to ensure service availability.
Solutions Architect
Serverless Orchestration with Workflows can be a valuable resource for you as a Solutions Architect. It helps you design and implement efficient and cost-effective cloud solutions for your clients by automating tasks, integrating multiple services, and optimizing resource allocation.
Cloud Architect
Serverless Orchestration with Workflows is suited for you as a Cloud Architect if your work regularly involves designing and implementing cloud-based solutions, and optimizing applications to run on Google Cloud.
DevOps Engineer
As a DevOps Engineer, Serverless Orchestration with Workflows can help you improve your efficiency and collaboration with developers by automating complex workflows and streamlining the delivery of cloud-based applications.
Quality Assurance Analyst
Serverless Orchestration with Workflows is a valuable resource for you as a Quality Assurance Analyst. It can assist you in automating testing processes, running tests in parallel, and improving test coverage to ensure the quality and reliability of cloud-based applications.
Full Stack Engineer
Your work as a Full Stack Engineer may often involve both frontend and backend development. Serverless Orchestration with Workflows can help you automate and connect various components of your applications, enabling smoother integration and data flow.
Technical Program Manager
If you are a Technical Program Manager overseeing the development and delivery of cloud-based products, Serverless Orchestration with Workflows can help you manage project timelines, track progress, and ensure alignment with business goals.
Data Engineer
If your role as a Data Engineer includes providing the data infrastructure for managing computer data, Serverless Orchestration with Workflows can help you build scalable and efficient data pipelines by connecting disparate systems and services.
Security Engineer
Serverless Orchestration with Workflows can provide valuable insights for you as a Security Engineer. It helps you gain visibility into your cloud infrastructure, monitor security events, and respond to threats in a timely manner.
Web Developer
Serverless Orchestration with Workflows can help you as a Web Developer build more efficient and scalable web applications by automating tasks, integrating with other services, and optimizing performance.
IT Project Manager
If you are an IT Project Manager responsible for overseeing and managing cloud-based projects, Serverless Orchestration with Workflows can help you streamline project execution, track progress, and ensure timely delivery.
Product Manager
As a Product Manager, understanding Serverless Orchestration with Workflows can help you make informed decisions about integrating cloud services into your products, optimizing resource allocation, and monitoring usage patterns.
Research Scientist
Serverless Orchestration with Workflows may be useful for you as a Research Scientist if your work involves developing and deploying complex data processing pipelines or conducting large-scale cloud-based experiments.

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 Serverless Orchestration with Workflows.
Provides a comprehensive overview of serverless workflows, including their benefits, use cases, and how to implement them using various cloud platforms.
Discusses the principles of event-driven programming and provides best practices for building serverless microservices.
Provides a practical guide to implementing event-driven microservices. It covers the basics of microservices, including how to design and implement them, and how to use them to build scalable, reliable, and cost-effective applications.
Provides a comprehensive overview of serverless architecture and how to design and implement serverless applications. It covers the benefits of serverless computing, the different types of serverless services available, and how to use them to build scalable, reliable, and cost-effective applications.
Presents architectural patterns for modern cloud-native applications, offering valuable insights for developing serverless workflows.
Presents design patterns for cloud environments, including those applicable to serverless workflow architectures.

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