Prometheus

Prometheus is an open-source monitoring and alerting toolkit widely used for cloud-native observability. Designed for reliability and scalability, Prometheus collects and stores metrics and event data, enabling real-time monitoring across distributed systems and cloud native environments. It integrates seamlessly with visualization tools like Grafana and supports flexible alert rules to detect and respond to system anomalies.

Zilliz Cloud offers built-in support for Prometheus metrics, giving you clear visibility into the behavior of your vector database in production. With this integration, you can monitor cluster performance, query response times, memory usage, and system throughput—all from your existing Prometheus dashboards.

Whether you're managing a dedicated cluster or scaling workloads with serverless deployments, Prometheus allows you to track key database operations and set real-time alerts for operational thresholds. This helps you prevent bottlenecks, optimize infrastructure, and deliver high-performance AI services reliably.

Zilliz Cloud exposes operational metrics through an open Prometheus-compatible endpoint. You can easily configure Prometheus to scrape these metrics using your preferred job configuration.

Once connected, Prometheus allows you to:

• Monitor latency, QPS, memory, and CPU usage for each cluster

• Track search, insert, and delete operations over time

• Create dashboards and graphs using tools like Grafana

• Define alert rules to proactively detect abnormal behavior

The integration gives engineering and DevOps teams full insight into the health and performance of their vector database infrastructure, without writing custom instrumentation.

Our step-by-step guide walks you through how to connect your Zilliz Cloud deployment to Prometheus, visualize system metrics, and configure alerts for your use case.

📘 Read the full tutorial → Integrate with Prometheus