Tenant-Level SLA Enforcement on Columnar Query Engines
Keeping shared query engines fair requires admission control below the optimizer.
Keeping shared query engines fair requires admission control below the optimizer.
Agents need isolated data environments to explore safely without risking production.
Streaming pipelines eliminate the accuracy gap that batch layers leave in real-time risk decisions.
Measure data freshness, completeness.
Securing agent queries requires row filtering, column masking, and audit trails.
Autonomous database agents need structured audit logs that bind identity, intent, authorization.
Database isolation requirements protect against agent-driven blast radius, not just access scope.
Shared OLAP caches need tenant isolation beyond query rate limits.
Weight analytics query failures by complexity to reveal true infrastructure strain.
Adapt burn-rate alerting to streaming data by measuring delivery, not just broker health.
Scan patterns and concurrent queries signal when analytical work belongs in a separate store.
Agents investigate in parallel bursts that demand separate infrastructure from human analytics.