Explain hazardous database memory patterns in observability reports

Explain hazardous database memory patterns in observability reports targets a $6.0B = 200,000 relevant enterprise customers x $30,000 ACV (enterprise observability + DB add-ons) total addressable market with medium saturation and a year-over-year growth rate of 18% (observability and DB monitoring expansion as cloud and microservices grow).

Key trends driving demand: Cloud migration -- more databases running in managed/cloud environments increases need for remote observability; Observability consolidation -- enterprises prefer integrated solutions that pair metrics, traces, and DB-specific insights; AI for ops -- ML/LLM advances enable automated pattern detection and natural-language explanations for engineers; Cost optimization focus -- teams want to reduce cloud bill by identifying memory inefficiencies and avoidable swap usage.