LSM-backed DBs: fix fast writes and deceptive reads with targeted telemetry

LSM-backed DBs: fix fast writes and deceptive reads with targeted telemetry targets a $10.0B = 50,000 enterprises x $200K ACV (enterprise DB/observability spend addressing DB-specific tooling and SRE budgets) total addressable market with medium saturation and a year-over-year growth rate of 15%.

Key trends driving demand: Cloud-native adoption -- more teams run managed/hosted clusters that rely on LSM-based stores, increasing demand for specialized observability.; LSM dominance in storage engines -- growth of RocksDB/Cassandra/Scylla/TiKV creates a concentrated set of root causes that tooling can target.; Consolidation of observability stacks -- teams prefer platform-native integrations (OpenTelemetry), making plug-and-play telemetry ingestion viable.; AI for ops -- improved ML for anomaly detection and causal inference enables automated diagnosis and actionable remediation suggestions..