Your company's product team has a new requirement based on customer demand to autoscale your stateless and distributed service running in a Google Kubernetes Engine (GKE) duster. You want to find a solution that minimizes changes because this feature will go live in two weeks.
What should you do?
In order to meet their business requirements, how should HipLocal store their application state?
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositories repository. Your application is built on every commit to the master branch.
You want to release specific commits made to the master branch in an automated method.
What should you do?
You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP
503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates. Which approach should you take?
You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:
* Load is initiated from multiple parallel threads
* User traffic to the API originates from multiple source IP addresses.
* Load can be scaled up using additional test instances
You want to follow Google-recommended best practices How should you configure the load testing'?
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