---
title: "VectorDB Observability | Grafana Cloud documentation"
description: "Track vector database performance, query response times, and operational metrics"
---

# VectorDB observability

VectorDB Observability provides comprehensive monitoring for vector database performance, crucial for applications involving similarity searches, semantic search, and RAG (Retrieval-Augmented Generation) systems.

## Overview

The VectorDB Observability dashboard monitors vector database operations and performance:

- **Performance monitoring** - Query latency and throughput analysis
- **Operations analytics** - Database operation success rates and patterns
- **Resource tracking** - Infrastructure utilization and capacity planning
- **Service health** - Database availability and instance performance monitoring

## Key features

### Query performance

- **Response times** - Average, median, and percentile latency tracking
- **Throughput** - Queries per second and concurrent operation monitoring
- **Success rates** - Percentage of successful vs. failed operations

### Database operations

- **Operation breakdown** - Performance by operation type (search, insert, update, delete)
- **Batch operations** - Bulk operation performance and efficiency monitoring
- **Index management** - Index building, optimization, and maintenance metrics
- **Data ingestion** - Vector upload and processing rate tracking

### Resource utilization

- **Memory usage** - Vector storage and operational memory consumption
- **CPU utilization** - Processing load during vector computations
- **Storage usage** - Database growth patterns and capacity planning
- **Network I/O** - Data transfer rates for distributed deployments

## Getting started

[Setup Guide  
\
Set up VectorDB Observability to monitor vector database performance](./setup)

[Configuration  
\
Configure performance monitoring, alerts, and optimization strategies](./configuration)