When creating an interactive VM utilization dashboard, which is the recommended method?

The recommended method of creating an interactive VM utilization dashboard involves exporting VM utilization data from Cloud Logs to BigQuery and then building a dashboard in Data Studio. This approach is advantageous because it combines the robust data processing and querying capabilities of BigQuery with the powerful visualization features of Data Studio.

By exporting data to BigQuery, you can efficiently store large volumes of log data and perform complex queries to analyze VM utilization metrics over time. BigQuery's SQL-like query language enables users to derive meaningful insights from the data and aggregate it in various ways to capture trends, anomalies, and performance overviews.

Once the data is in BigQuery, it becomes accessible for visualization in Data Studio. Data Studio provides tools for creating interactive and real-time dashboards that can be easily shared with stakeholders, allowing for dynamic exploration of the data. This combination enhances the usability and interactivity of the dashboard, making it a powerful resource for monitoring VM utilization.

On the other hand, the other choices have limitations. For example, using Cloud Pub/Sub and building dashboards in a SIEM system may complicate the process without maximizing the analytical capabilities of data visualization tools. Exporting logs to a CSV file for Google Sheets limits the scalability and functionality, as handling large volumes of data in Sheets can become