Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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An enterprise operates a hybrid production workload where web frontend services run on Google Cloud and backend database services reside in an on-premises data center. During peak hours, users experience intermittent timeouts and transaction failures, requiring the operations team to analyze system logs and metrics to identify performance bottlenecks and determine root causes.
Strict compliance policies mandate that sensitive customer transaction payloads contained in application logs must remain stored exclusively on-premises. However, infrastructure health metrics and operational system logs must be centralized in Google Cloud Logging and Cloud Monitoring to facilitate unified alerting and diagnostic dashboards.
Which telemetry architecture should the cloud architect implement to meet these requirements?
OpenTelemetry Collector and observIQ BindPlane are telemetry pipeline solutions designed to collect, process, transform, and route observability data—including logs, metrics, and traces—from diverse hybrid and multi-cloud environments to designated storage and analysis backends.
Separating application and system data at the collection layer ensures absolute compliance with strict data residency rules while giving SRE and operations teams the necessary operational telemetry in Cloud Monitoring and Cloud Logging to pinpoint and resolve hybrid system bottlenecks.
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