Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?
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Correct answer: Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them..
Why this is the answer
The correct approach is to output custom metrics to Stackdriver (now Google Cloud Monitoring) from the game servers and create a dashboard. Google Cloud Monitoring is designed for collecting, monitoring, and analyzing real-time metrics, including custom metrics, with low latency. Its dashboards provide immediate visualization of these KPIs. Storing time-series data in Bigtable is suitable for large-scale analytical workloads but isn't the primary real-time monitoring solution for KPIs. BigQuery is excellent for large-scale data warehousing and analytics, but scheduling loads every ten minutes introduces latency that doesn't meet the "low latency" requirement for real-time monitoring. Cloud Datastore is a NoSQL document database, not optimized for aggregate real-time KPI monitoring, and Datalab (now deprecated in favor of AI Platform Notebooks) is for interactive data analysis, not continuous low-latency monitoring dashboards.
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