A retail company is migrating its containerized microservices to Google Kubernetes Engine. Operations wants a managed solution that will automatically collect logs from the containers, let them run full-text queries across several projects, create log-based metrics for alerts, and selectively export matching entries to BigQuery for long-term analysis. Which Google Cloud component satisfies all of these requirements without additional third-party tooling?
Cloud Logging is Google Cloud's centralized logging platform. It automatically ingests logs from resources such as GKE containers, stores them for the retention period, supports powerful searches in the Log Explorer, and allows teams to define log-based metrics that integrate with alerting policies. Logging also includes built-in sinks so specific log entries can be exported to BigQuery, Cloud Storage, or Pub/Sub. Cloud Monitoring, Cloud Trace, and Cloud Debugger provide complementary capabilities-metrics/alerting, latency tracing, and debugging snapshots-but none of them simultaneously offer collection, search, metric derivation, and export of log data.
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What is the role of Cloud Logging in Google Kubernetes Engine (GKE)?
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How do log-based metrics work in Cloud Logging?
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What are the benefits of exporting logs to BigQuery using Cloud Logging?
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What is Cloud Logging in Google Cloud Platform?
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What are log-based metrics in Cloud Logging?
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GCP Associate Cloud Engineer
Setting up a cloud solution environment
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