Configure the Prometheus receiver to collect Weaviate metrics

Learn how to configure the Prometheus receiver to collect Weaviate metrics.

You can monitor the performance of Weaviate databases by configuring your Weaviate instance to send metrics to Splunk Observability Cloud. This solution uses the Prometheus receiver to collect metrics from Weaviate, which exposes a /metrics endpoint that publishes Prometheus-compatible metrics.

Complete the following steps to collect metrics from Weaviate databases.

To configure the Prometheus receiver to collect metrics from Weaviate, you must meet the following requirements:

You have installed Weaviate on your host or container platform. For more information, see How to install Weaviate in the Weaviate documentation.
You have configured your Weaviate instance to expose the /metrics endpoint, which publishes Prometheus-compatible metrics. For more information, see Enable within Weaviate in the Weaviate documentation.

Deploy the Splunk Distribution of the OpenTelemetry Collector to your host or container platform:
Activate the Prometheus receiver for Weaviate manually in the Splunk Distribution of the OpenTelemetry Collector configuration by making the following changes to your configuration file:
1. Add prometheus/weaviate to the receivers section. For example:
```
prometheus/weaviate:
  config:
    scrape_configs:
      - job_name: 'weaviate-metrics'
        metrics_path: /metrics
        scrape_interval: 15s
        static_configs:
          - targets: ['localhost:2112']
```
2. Add the receiver in the metrics pipeline of the service section. For example:
```
service:
  pipelines:
    metrics:
      receivers: [prometheus/weaviate]
```
Restart the Splunk Distribution of the OpenTelemetry Collector.

メトリクスと属性

Weaviate データベースで使用可能なモニタリングメトリクスについて確認します。

Weaviate メトリクスシステムで取得できるメトリクスおよびリソース属性の完全なリストについては、Weaviate GitHub リポジトリの prometheus.go ソースファイルを参照してください。

重要度の高いメトリクスサブセットについては、Weaviate ドキュメントの Obtainable Metrics をご確認ください。

Next steps

How to monitor your AI components after you set up Observability for AI.

After you set up data collection from supported AI components to Splunk Observability Cloud, the data populates built-in experiences that you can use to monitor and troubleshoot your AI components.

The following table describes the tools you can use to monitor and troubleshoot your AI components.


Monitoring tool	Use this tool to	Link to documentation
Built-in navigators	Orient and explore different layers of your AI tech stack.	Use navigators Monitor LLM costs with navigators
Built-in dashboards	Assess service, endpoint, and system health at a glance.	Built-in dashboards View dashboards in Splunk Observability Cloud
Splunk Application Performance Monitoring (APM) service map and trace view	View all of your LLM service dependency graphs and user interactions in the service map or trace view.	Splunk APM を使用して LLM サービスをモニタリングする