What problem does it solve?
Manually querying BigQuery to track TiDB X cluster growth metrics is time-consuming and error-prone for teams needing to monitor tenant adoption, service plan distribution, and regional deployment patterns.
Core Features & Use Cases
- Tenant Growth Tracking: Pull daily new and cumulative cluster counts for specific tenants over custom date ranges to monitor adoption trends.
- Aggregated Distribution Analysis: Break down active TiDB X cluster counts by service plan (Starter, Essential, Premium) and cloud region to identify deployment concentrations.
- High-Volume Tenant Identification: List tenants exceeding custom cluster count thresholds to spot top users and separate internal from external usage.
Use case: A product operations team can use this skill to generate a 30-day growth trend report for a specific tenant and identify which regions have the highest concentration of Starter clusters.
Quick Start
Use the analyzing-tidb-x-growth skill to pull the last 7 days of daily new and cumulative Starter cluster counts for tenant 12345.