Observability & Evaluation · Software component

Vector Store Capacity Monitor

Software componentObservability & EvaluationObservability & Evaluationarc:VectorStoreCapacityMonitor

A monitoring component that periodically collects per-collection object counts, per-shard disk usage, memory and node/shard status from a vector store to detect stalled ingestion and forecast capacity.

Responsibility. Tracks vector store growth, capacity and shard health over time.

Also known as: Collection statistics exporter, Capacity trending

Direct neighbourhood (hover for relationship types)

Relationships

emits telemetry to dynamic

Time-Series Metrics Store Ch6.2B

monitors assurance

Design guidance

SHOULD compare actual object-count growth with expected ingestion volume to detect pipeline failures.
SHOULD trend object counts and disk usage over weeks and months to trigger proactive scaling.

Classification

Patterns: Daily health checksLinear extrapolation of object counts and disk usageSlow-query logging with score breakdowns
Risks mitigated: Silent ingestion pipeline failuresDisk exhaustion corrupting indexesReactive emergency provisioning

Sources

Ch6.2B: T. Nguyen, "Production Vector Database Deployment," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.2B. ISBN: 9798244538229.