Learn the best approach for rapidly testing and debugging a microservices application using Cloud Run, Bigtable, and Pub/Sub on Google Cloud Platform while minimizing costs.
Table of Contents
Question
You are developing an application that uses microservices architecture that includes Cloud Run, Bigtable, and Pub/Sub. You want to conduct the testing and debugging process as quickly as possible to create a minimally viable product with minimal cost. What should you do?
A. Use Cloud Shell Editor and Cloud Shell to deploy the application, and test the functionality by using the Google Cloud console in the project.
B. Use emulators to test the functionality of cloud resources locally, and deploy the code to your Google Cloud project.
C. Use Cloud Build to create a pipeline, and add the unit testing stage and the manual approval stage. Deploy the code to your Google Cloud project.
D. Use Cloud Code to develop, deploy, and test microservices resources. Use Cloud Logging to review the resource logs.
Answer
B. Use emulators to test the functionality of cloud resources locally, and deploy the code to your Google Cloud project.
Explanation
When developing a microservices application using Cloud Run, Bigtable, and Pub/Sub on Google Cloud, the fastest and most cost-effective way to conduct testing and debugging is to use emulators. Emulators allow you to run local versions of Google Cloud services on your own machine, enabling you to test your application’s functionality without deploying it to the cloud. This approach significantly speeds up the development process and reduces costs by minimizing the need for deploying and running services in your Google Cloud project during the testing phase.
Using emulators, you can ensure that your microservices communicate correctly with each other and with the required Google Cloud services. Once you have verified that your application works as expected locally, you can then deploy the code to your Google Cloud project with confidence, knowing that it has been thoroughly tested.
The other options, while viable in some scenarios, are not the most efficient for this particular use case:
A. Using Cloud Shell Editor and Cloud Shell to deploy and test the application would require deploying the services to your Google Cloud project, which is slower and more costly than local testing with emulators.
C. Setting up a Cloud Build pipeline with unit testing and manual approval stages is a good practice for continuous integration and deployment, but it is not the quickest way to test and debug during the initial development phase.
D. Cloud Code is a useful tool for developing, deploying, and testing microservices, but it does not provide the same level of speed and cost savings as local testing with emulators. Cloud Logging is valuable for reviewing logs once the application is deployed, but it is not the primary tool for testing and debugging during development.
In summary, using emulators to test your microservices application locally before deploying it to your Google Cloud project is the fastest and most cost-effective approach to create a minimally viable product.
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