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Architecture Considerations

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From the details provided in the case study, we can quickly see several factors that will influence architecture decisions.

The company has customers in multiple countries, and reducing latency to customers is a priority. This calls for a multiregional deployment of services, which will also help address disaster recovery requirements. Depending on storage requirements, multiregional Cloud Storage may be needed. If a relational database is required to span regions, then Cloud Spanner may become part of the solution.

EHR Healthcare is already using Kubernetes, so Kubernetes Engine will likely be used. Depending on the level of control they need over Kubernetes, they may be able to reduce operations costs by using Autopilot mode of Kubernetes instead of Standard mode.

The company uses Microsoft Active Directory to manage identities, so you may want to use Cloud Identity with Active Directory as an identity provider (IdP) for federating identities.

To improve deployments of multiple environments, you should treat infrastructure as code using Cloud Deployment Manager or Terraform. Cloud Build, Cloud Source Repository, and Artifact Registry are key to supporting an agile continuous integration/continuous delivery.

Current logging and monitoring are insufficient given the problems with outages and ignored alert messages. Engineers may be experiencing alert fatigue caused by too many alerts that either are false positives or provide insufficient information to help resolve the incident. Cloud Monitoring and Cloud Logging will likely be included in a solution.

Google Cloud Certified Professional Cloud Architect Study Guide

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