Capture multiple GBs of real-time KPIs from game servers on GCP and monitor them with low latency. How should you capture and view KPIs?

Emitting custom metrics to Stackdriver (now Cloud Monitoring) is the most appropriate solution for real-time KPI capture and low-latency monitoring. Cloud Monitoring is designed for collecting, monitoring, and alerting on operational data and supports custom metrics, making it ideal for game server KPIs. Dashboards provide real-time visualization. Writing time-series data to Bigtable is suitable for large-scale analytics but requires an additional visualization layer and isn't primarily designed for low-latency operational monitoring. Scheduling BigQuery batch loads introduces significant latency (every ten minutes) and is not real-time. Inserting KPIs into Cloud Datastore (now Cloud Firestore in Datastore mode) is not optimized for time-series data or real-time monitoring, and Cloud Datalab (now deprecated in favor of AI Platform Notebooks) is more for interactive data analysis than operational dashboards.