What rollback and comms plan should we prepare in case the Metabase roll-out causes performance regressions?

To prove a Lambda update improved productivity without increasing risk, track productivity KPIs like Task Completion Rate, Cycle Time, and Output per Hour and risk KPIs such as Error Rate, Defect Density, System Downtime, and Customer Satisfaction (CSAT). A successful update will show improvement in the productivity metrics while keeping risk metrics stable or decreasing them.

For late September 2025, you should avoid enabling new features on the Mode Analytics platform during the following change-freeze windows in Q4 2025:

• October 1–2, 2025: Avoid deployments during this major holiday period in India, which includes Maha Navami, Dussehra, and Gandhi Jayanti. Many teams will extend this into a long weekend, leading to limited technical and business support staff.
• Late November through December: Initiate a company-specific change freeze to maintain system stability during the peak holiday shopping season.

To export Superset logs to a Security Information and Event Management (SIEM) system with least-privilege scopes, use a log shipper to collect logs from Superset's standard output (stdout) and its file-based logs. This approach avoids granting Superset direct access to your SIEM. The specific implementation depends on your deployment environment (e.g., Docker, Kubernetes).

To restrict Power BI features to a pilot group, combine the Tenant Settings within the Microsoft Fabric Admin portal with Azure Active Directory (AAD) security groups. For controlling feature access inside specific reports, use Row-Level Security (RLS) in Power BI Desktop.

To prove that the Data Cloud update improved team productivity without increasing risk, you need to track and analyze a balanced set of Key Performance Indicators (KPIs). This involves monitoring metrics across three key categories: Operational Efficiency, Data Quality & Reliability, and Business Impact & Adoption.