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Add monitoring for CodeGen/CodeTrans deployed by Docker compose. (#2322)
Signed-off-by: Yao, Qing <qing.yao@intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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‎CodeGen/README.md‎

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This CodeGen example can be deployed manually on various hardware platforms using Docker Compose or Kubernetes. Select the appropriate guide based on your target environment:
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| Hardware | Deployment Mode | Guide Link |
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| :-------------- | :------------------- | :----------------------------------------------------------------------- |
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| Intel Xeon CPU | Single Node (Docker) | [Xeon Docker Compose Guide](./docker_compose/intel/cpu/xeon/README.md) |
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| Intel Gaudi HPU | Single Node (Docker) | [Gaudi Docker Compose Guide](./docker_compose/intel/hpu/gaudi/README.md) |
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| AMD EPYC CPU | Single Node (Docker) | [EPYC Docker Compose Guide](./docker_compose/amd/cpu/epyc/README.md) |
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| AMD ROCm GPU | Single Node (Docker) | [ROCm Docker Compose Guide](./docker_compose/amd/gpu/rocm/README.md) |
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| Intel Xeon CPU | Kubernetes (Helm) | [Kubernetes Helm Guide](./kubernetes/helm/README.md) |
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| Intel Gaudi HPU | Kubernetes (Helm) | [Kubernetes Helm Guide](./kubernetes/helm/README.md) |
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| Intel Xeon CPU | Kubernetes (GMC) | [Kubernetes GMC Guide](./kubernetes/gmc/README.md) |
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| Intel Gaudi HPU | Kubernetes (GMC) | [Kubernetes GMC Guide](./kubernetes/gmc/README.md) |
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| Hardware | Deployment Mode | Guide Link |
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| :-------------- | :----------------------------------- | :--------------------------------------------------------------------------------------- |
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| Intel Xeon CPU | Single Node (Docker) | [Xeon Docker Compose Guide](./docker_compose/intel/cpu/xeon/README.md) |
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| Intel Xeon CPU | Single Node (Docker) with Monitoring | [Xeon Docker Compose with Monitoring Guide](./docker_compose/intel/cpu/xeon/README.md) |
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| Intel Gaudi HPU | Single Node (Docker) | [Gaudi Docker Compose Guide](./docker_compose/intel/hpu/gaudi/README.md) |
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| Intel Gaudi HPU | Single Node (Docker) with Monitoring | [Gaudi Docker Compose with Monitoring Guide](./docker_compose/intel/hpu/gaudi/README.md) |
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| AMD EPYC CPU | Single Node (Docker) | [EPYC Docker Compose Guide](./docker_compose/amd/cpu/epyc/README.md) |
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| AMD ROCm GPU | Single Node (Docker) | [ROCm Docker Compose Guide](./docker_compose/amd/gpu/rocm/README.md) |
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| Intel Xeon CPU | Kubernetes (Helm) | [Kubernetes Helm Guide](./kubernetes/helm/README.md) |
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| Intel Gaudi HPU | Kubernetes (Helm) | [Kubernetes Helm Guide](./kubernetes/helm/README.md) |
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| Intel Xeon CPU | Kubernetes (GMC) | [Kubernetes GMC Guide](./kubernetes/gmc/README.md) |
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| Intel Gaudi HPU | Kubernetes (GMC) | [Kubernetes GMC Guide](./kubernetes/gmc/README.md) |
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_Note: Building custom microservice images can be done using the resources in [GenAIComps](https://github.com/opea-project/GenAIComps)._
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## Monitoring
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The CodeGen example supports monitoring capabilities for Intel Xeon and Intel Gaudi platforms. Monitoring includes:
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- **Prometheus**: For metrics collection and querying
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- **Grafana**: For visualization and dashboards
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- **Node Exporter**: For system metrics collection
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### Monitoring Features
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- Real-time metrics collection from all CodeGen microservices
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- Pre-configured dashboards for:
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- vLLM/TGI performance metrics
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- CodeGen MegaService metrics
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- System resource utilization
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- Node-level metrics
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### Enabling Monitoring
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Monitoring can be enabled by using the `compose.monitoring.yaml` file along with the main compose file:
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```bash
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# For Intel Xeon
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docker compose -f compose.yaml -f compose.monitoring.yaml up -d
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# For Intel Gaudi
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docker compose -f compose.yaml -f compose.monitoring.yaml up -d
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```
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### Accessing Monitoring Services
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Once deployed with monitoring, you can access:
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- **Prometheus**: `http://${HOST_IP}:9090`
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- **Grafana**: `http://${HOST_IP}:3000` (username: `admin`, password: `admin`)
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- **Node Exporter**: `http://${HOST_IP}:9100`
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## Benchmarking
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Guides for evaluating the performance and accuracy of this CodeGen deployment are available:

‎CodeGen/docker_compose/intel/cpu/xeon/README.md‎

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# export https_proxy="your_https_proxy"
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# export no_proxy="localhost,127.0.0.1,${HOST_IP}" # Add other hosts if necessary
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source intel/set_env.sh
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cd /intel/cpu/xeon
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cd intel/cpu/xeon
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bash grafana/dashboards/download_opea_dashboard.sh
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```
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_Note: The compose file might read additional variables from set_env.sh. Ensure all required variables like ports (`LLM_SERVICE_PORT`, `MEGA_SERVICE_PORT`, etc.) are set if not using defaults from the compose file._
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Most of these parameters are in `set_env.sh`, you can either modify this file or overwrite the env variables by setting them.
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```shell
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source CodeGen/docker_compose/set_env.sh
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source CodeGen/docker_compose/intel/set_env.sh
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```
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#### Compose Files
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- **"Container name is in use"**: Stop existing containers (`docker compose down`) or change `container_name` in the compose file.
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- **Resource Issues:** CodeGen models can be memory-intensive. Monitor host RAM usage. Increase Docker resources if needed.
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## Stopping the Application
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## Monitoring Deployment
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To enable monitoring for the CodeGen application, you can use the monitoring Docker Compose file along with the main deployment.
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### Option #1: Default Deployment (without monitoring)
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To deploy the CodeGen services without monitoring, execute:
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```bash
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docker compose up -d
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```
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### Option #2: Deployment with Monitoring
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> NOTE: To enable monitoring, `compose.monitoring.yaml` file need to be merged along with default `compose.yaml` file.
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To deploy with monitoring:
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```bash
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bash grafana/dashboards/download_opea_dashboard.sh
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docker compose -f compose.yaml -f compose.monitoring.yaml up -d
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```
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### Accessing Monitoring Services
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Once deployed with monitoring, you can access:
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- **Prometheus**: `http://${HOST_IP}:9090`
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- **Grafana**: `http://${HOST_IP}:3000` (username: `admin`, password: `admin`)
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- **Node Exporter**: `http://${HOST_IP}:9100`
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### Monitoring Components
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The monitoring stack includes:
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- **Prometheus**: For metrics collection and querying
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- **Grafana**: For visualization and dashboards
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- **Node Exporter**: For system metrics collection
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### Monitoring Dashboards
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The following dashboards are automatically downloaded and configured:
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- vLLM Dashboard
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- TGI Dashboard
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- CodeGen MegaService Dashboard
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- Node Exporter Dashboard
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### Stopping the Application
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If monitoring is enabled, execute the following command:
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```bash
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docker compose -f compose.yaml -f compose.monitoring.yaml down
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```
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If monitoring is not enabled, execute:
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```bash
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docker compose down # for vLLM (compose.yaml)

‎CodeGen/docker_compose/intel/cpu/xeon/compose.monitoring.yaml‎

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# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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services:
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prometheus:
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image: prom/prometheus:v2.52.0
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container_name: opea_prometheus
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user: root
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volumes:
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- ./prometheus.yaml:/etc/prometheus/prometheus.yaml
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- ./prometheus_data:/prometheus
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command:
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- '--config.file=/etc/prometheus/prometheus.yaml'
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ports:
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- '9090:9090'
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ipc: host
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restart: unless-stopped
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grafana:
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image: grafana/grafana:11.0.0
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container_name: grafana
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volumes:
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- ./grafana_data:/var/lib/grafana
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- ./grafana/dashboards:/var/lib/grafana/dashboards
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- ./grafana/provisioning:/etc/grafana/provisioning
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user: root
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environment:
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GF_SECURITY_ADMIN_PASSWORD: admin
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GF_RENDERING_CALLBACK_URL: http://grafana:3000/
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GF_LOG_FILTERS: rendering:debug
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no_proxy: ${no_proxy}
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host_ip: ${host_ip}
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depends_on:
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- prometheus
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ports:
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- '3000:3000'
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ipc: host
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restart: unless-stopped
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node-exporter:
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image: prom/node-exporter
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container_name: node-exporter
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volumes:
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- /proc:/host/proc:ro
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- /sys:/host/sys:ro
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- /:/rootfs:ro
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command:
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- '--path.procfs=/host/proc'
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- '--path.sysfs=/host/sys'
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- --collector.filesystem.ignored-mount-points
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- "^/(sys|proc|dev|host|etc|rootfs/var/lib/docker/containers|rootfs/var/lib/docker/overlay2|rootfs/run/docker/netns|rootfs/var/lib/docker/aufs)($$|/)"
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environment:
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no_proxy: ${no_proxy}
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ports:
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- 9100:9100
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restart: always
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deploy:
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mode: global

‎CodeGen/docker_compose/intel/cpu/xeon/grafana/dashboards/download_opea_dashboard.sh‎

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#!/bin/bash
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# Copyright (C) 2025 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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cd "$SCRIPT_DIR"
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if ls *.json 1> /dev/null 2>&1; then
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rm *.json
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fi
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wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/vllm_grafana.json
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wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/tgi_grafana.json
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wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/codegen_megaservice_grafana.json
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wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/node_grafana.json

‎CodeGen/docker_compose/intel/cpu/xeon/grafana/provisioning/dashboards/local.yaml‎

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# Copyright (C) 2025 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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apiVersion: 1
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providers:
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- name: 'default'
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orgId: 1
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folder: ''
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type: file
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disableDeletion: false
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updateIntervalSeconds: 10 #how often Grafana will scan for changed dashboards
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options:
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path: /var/lib/grafana/dashboards

‎CodeGen/docker_compose/intel/cpu/xeon/grafana/provisioning/datasources/datasource.yml‎

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# Copyright (C) 2025 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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# config file version
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apiVersion: 1
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# list of datasources that should be deleted from the database
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deleteDatasources:
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- name: Prometheus
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orgId: 1
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# list of datasources to insert/update depending
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# what's available in the database
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datasources:
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# <string, required> name of the datasource. Required
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- name: Prometheus
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# <string, required> datasource type. Required
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type: prometheus
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# <string, required> access mode. direct or proxy. Required
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access: proxy
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# <int> org id. will default to orgId 1 if not specified
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orgId: 1
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# <string> url
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url: http://$host_ip:9090
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# <string> database password, if used
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password:
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# <string> database user, if used
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user:
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# <string> database name, if used
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database:
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# <bool> enable/disable basic auth
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basicAuth: false
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# <string> basic auth username, if used
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basicAuthUser:
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# <string> basic auth password, if used
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basicAuthPassword:
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# <bool> enable/disable with credentials headers
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withCredentials:
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# <bool> mark as default datasource. Max one per org
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isDefault: true
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# <map> fields that will be converted to json and stored in json_data
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jsonData:
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httpMethod: GET
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graphiteVersion: "1.1"
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tlsAuth: false
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tlsAuthWithCACert: false
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# <string> json object of data that will be encrypted.
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secureJsonData:
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tlsCACert: "..."
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tlsClientCert: "..."
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tlsClientKey: "..."
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version: 1
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# <bool> allow users to edit datasources from the UI.
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editable: true

‎CodeGen/docker_compose/intel/cpu/xeon/prometheus.yaml‎

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# Copyright (C) 2025 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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# [IP_ADDR]:{PORT_OUTSIDE_CONTAINER} -> {PORT_INSIDE_CONTAINER} / {PROTOCOL}
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global:
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scrape_interval: 5s
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external_labels:
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monitor: "my-monitor"
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scrape_configs:
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- job_name: "prometheus"
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static_configs:
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- targets: ["opea_prometheus:9090"]
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- job_name: "vllm"
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metrics_path: /metrics
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static_configs:
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- targets: ["vllm-server:80"]
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- job_name: "tgi"
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metrics_path: /metrics
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static_configs:
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- targets: [ "tgi-service:80" ]
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- job_name: "codegen-backend-server"
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metrics_path: /metrics
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static_configs:
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- targets: ["codegen-xeon-backend-server:7778"]
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- job_name: "prometheus-node-exporter"
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metrics_path: /metrics
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static_configs:
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- targets: ["node-exporter:9100"]

‎CodeGen/docker_compose/intel/hpu/gaudi/README.md‎

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# export https_proxy="your_https_proxy"
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# export no_proxy="localhost,127.0.0.1,${HOST_IP}" # Add other hosts if necessary
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source intel/set_env.sh
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cd /intel/hpu/gaudi
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cd intel/hpu/gaudi
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cd grafana/dashboards
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bash download_opea_dashboard.sh
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cd ../..
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```
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_Note: The compose file might read additional variables from set_env.sh. Ensure all required variables like ports (`LLM_SERVICE_PORT`, `MEGA_SERVICE_PORT`, etc.) are set if not using defaults from the compose file._
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- **Model Download Issues:** Check `HF_TOKEN`, internet access, proxy settings. Check LLM service logs.
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- **Connection Errors:** Verify `HOST_IP`, ports, and proxy settings. Use `docker ps` and check service logs.
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## Stopping the Application
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## Monitoring Deployment
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To enable monitoring for the CodeGen application on Gaudi, you can use the monitoring Docker Compose file along with the main deployment.
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### Option #1: Default Deployment (without monitoring)
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To deploy the CodeGen services without monitoring, execute:
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```bash
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docker compose up -d
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```
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### Option #2: Deployment with Monitoring
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> NOTE: To enable monitoring, `compose.monitoring.yaml` file need to be merged along with default `compose.yaml` file.
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To deploy with monitoring:
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```bash
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docker compose -f compose.yaml -f compose.monitoring.yaml up -d
254+
```
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### Accessing Monitoring Services
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Once deployed with monitoring, you can access:
259+
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- **Prometheus**: `http://${HOST_IP}:9090`
261+
- **Grafana**: `http://${HOST_IP}:3000` (username: `admin`, password: `admin`)
262+
- **Node Exporter**: `http://${HOST_IP}:9100`
263+
264+
### Monitoring Components
265+
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The monitoring stack includes:
267+
268+
- **Prometheus**: For metrics collection and querying
269+
- **Grafana**: For visualization and dashboards
270+
- **Node Exporter**: For system metrics collection
271+
272+
### Monitoring Dashboards
273+
274+
The following dashboards are automatically downloaded and configured:
275+
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- vLLM Dashboard
277+
- TGI Dashboard
278+
- CodeGen MegaService Dashboard
279+
- Node Exporter Dashboard
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### Stopping the Application
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If monitoring is enabled, execute the following command:
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```bash
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docker compose -f compose.yaml -f compose.monitoring.yaml down
287+
```
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If monitoring is not enabled, execute:
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```bash
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docker compose down # for vLLM (compose.yaml)

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