Vllm grafana dashboard. 1. grafana_data: Grafana’s dash

Vllm grafana dashboard. 1. grafana_data: Grafana’s dashboard, settings, user information, etc. (If you don’t already have one, you can create a forever-free account today. Wait for initialization: Grafana can take 1-2 minutes to start; Check Grafana logs: docker logs vllm-grafana; Verify datasource: Check Prometheus connection in Grafana settings; Conclusion. Time-to-First-Token (TTFT) Distribution: Monitors response times for token generation. Nov 21, 2024 · This blog is your comprehensive guide to setting up efficient LLM inference using vLLM on an Azure Kubernetes Service Verify that data is visible in the Grafana dashboard. ; Request Latency Distribution: Visualizes end-to-end request latency. The Grafana dashboard provides the following insights: Available vLLM Instances: Displays the number of healthy instances. Forward the Grafana dashboard port to the local node-port Jan 22, 2025 · The Grafana dashboard provides the following insights: Available vLLM Instances: Displays the number of healthy instances. Get started with Grafana. Grafana Dashboard Add Prometheus Data Source This is a simple example that shows you how to connect vLLM metric logging to the Prometheus/Grafana stack. For this example, we launch Prometheus and Grafana via Docker. prometheus_data: Prometheus’ time series DB storage If there Review Docker logs: docker logs vllm-prometheus; Dashboard Not Loading. 57. Grafana k6: 0. We also start monitoring using Grafana and run a vLLM benchmark. You can checkout other methods through Prometheus and Grafana websites. vLLM also provides a reference example for how to collect and store these metrics using Prometheus and visualize them using a Grafana dashboard. What's new / Release notes. Get started with Grafana Cloud. At the end, you will be able to see the following vLLM benchmark results and monitoring graphs from your Bare Metal server. 这是一个简单的示例，展示了如何将 vLLM 指标日志记录连接到 Prometheus/Grafana 堆栈。 对于此设置，Grafana 和 Prometheus 在单独 Jan 22, 2025 · Grafana Dashboard Features. The subset of metrics exposed in the Grafana dashboard gives us an indication of which metrics are especially important: vllm:e2e_request_latency_seconds_bucket - End to end request latency measured in Prometheus 与 Grafana 监控方案 *在线运行 vLLM 入门教程：零基础分步指南. 本示例演示如何 Plugins are not updated automatically, however you will be notified when updates are available right within your Grafana. Prometheus and Grafana#. vLLM performance dashboard. Grafana: 12. A high-throughput and memory-efficient inference and serving engine for LLMs - vllm-project/vllm Jul 18, 2024 · 2. May 8, 2024 · I wanted a simple dashboard to help trend vLLM and GPU metrics and performance. This is a simple example that shows you how to connect vLLM metric logging to the . Source examples/online_serving/prometheus_grafana. Install the Application. 源码 examples/online_serving/prometheus_grafana. What indicators do you find most useful? Grafana for vLLM and GPU Metrics This is a simple example that shows you how to connect vLLM metric logging to the Prometheus/Grafana stack. The Prometheus metrics that vLLM provides gives some good insight into the health and use of the system with data like tokens per second, running requests, waiting requests and more. May 20, 2025 · Volumes: Persist Prometheus and Grafana data across restarts. Memory allocation is at 90% per vLLM config. Get your Grafana Cloud credentials: Log in to Grafana Cloud and select your Grafana Cloud Stack. Access the Grafana & Prometheus dashboard # To access the Grafana dashboard, you need to port-forward the Grafana service to your local machine. The plugin will be installed into your grafana plugins directory; the default is /var/lib/grafana/plugins. Contribute to vllm-project/dashboard development by creating an account on GitHub. Build your first dashboard. Setting up comprehensive monitoring for vLLM doesn't have to be complex. Use the grafana-cli tool to install LLM from the commandline: grafana-cli plugins install . For this After installing, the dashboard can be accessed through the service service/kube-prom-stack-grafana in the monitoring namespace. ) Click on the OpenTelemetry card; Under the “Password / API Token” section, click Generate an API token. . Request Latency Distribution: Visualizes end-to-end request latency. Learning Journeys. Feb 9, 2025 · Prometheus and GrafanaLaunchGrafana DashboardAdd Prometheus Data SourceImport DashboardExample materials vLLM is a fast and easy-to-use library for LLM inference and serving. 0. The graph below shows GPU load during a vLLM benchmark test for a few minutes, leading to a GPU load spike to 100%. jsboka xzpjnlh xootdo bdkym pqdax olmxf qwwosby iipdpw ymdco uqmokt