开始监控 Redis Enterprise Software

使用 Prometheus 和 Grafana 收集和可视化 Redis Enterprise Software 指标。

您可以使用 Prometheus 和 Grafana 来收集和可视化 Redis Enterprise Software 指标。

指标在集群、节点、数据库、分片和代理级别公开。

• Prometheus 是一个开源系统监控和警报工具包，可聚合来自不同来源的指标。
• Grafana 是一个开源的指标可视化工具，用于处理 Prometheus 数据。

您可以使用 Prometheus 和 Grafana 来：

• 收集和显示 Admin Console 中不可用的量度

• 为节点或集群事件设置自动警报

• 显示 Redis Enterprise Software 指标以及来自其他系统的数据

在每个集群中，metrics_exporter 进程在端口 8070 上公开 Prometheus 指标。 Redis Enterprise 版本 7.8.2 引入了新指标流引擎的预览版，该引擎在https://<IP>:8070/v2.

快速开始

要开始使用 Prometheus 和 Grafana，请执行以下作：

1. 在本地计算机上创建名为 'prometheus' 的目录。

2. 在该目录中，创建一个名为prometheus.yml.

3. 将以下内容添加到配置文件中，并将<cluster_name>替换为 Redis Enterprise 集群的 FQDN：

   注意：

   我们建议仅在 Docker 中运行 Prometheus 用于开发和测试。

   global:
     scrape_interval: 15s
     evaluation_interval: 15s
   
   # Attach these labels to any time series or alerts when communicating with
   # external systems (federation, remote storage, Alertmanager).
     external_labels:
       monitor: "prometheus-stack-monitor"
   
   # Load and evaluate rules in this file every 'evaluation_interval' seconds.
   #rule_files:
   # - "first.rules"
   # - "second.rules"
   
   scrape_configs:
   # scrape Prometheus itself
     - job_name: prometheus
       scrape_interval: 10s
       scrape_timeout: 5s
       static_configs:
         - targets: ["localhost:9090"]
   
   # scrape Redis Enterprise
     - job_name: redis-enterprise
       scrape_interval: 30s
       scrape_timeout: 30s
       metrics_path: /  # For v2, use /v2
       scheme: https
       tls_config:
         insecure_skip_verify: true
       static_configs:
         - targets: ["<cluster_name>:8070"]
   

4. Set up your Prometheus and Grafana servers. To set up Prometheus and Grafana on Docker:

   1. Create a docker-compose.yml file:

      version: '3'
      services:
          prometheus-server:
              image: prom/prometheus
              ports:
                  - 9090:9090
              volumes:
                  - ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
      
          grafana-ui:
              image: grafana/grafana
              ports:
                  - 3000:3000
              environment:
                  - GF_SECURITY_ADMIN_PASSWORD=secret
              links:
                  - prometheus-server:prometheus
      

   2. To start the containers, run:

      $ docker compose up -d
      

   3. To check that all of the containers are up, run: docker ps

   4. In your browser, sign in to Prometheus at http://localhost:9090 to make sure the server is running.

   5. Select Status and then Targets to check that Prometheus is collecting data from your Redis Enterprise cluster.

      

      If Prometheus is connected to the cluster, you can type node_up in the Expression field on the Prometheus home page to see the cluster metrics.

5. Configure the Grafana datasource:

   1. Sign in to Grafana. If you installed Grafana locally, go to http://localhost:3000 and sign in with:

      • Username: admin
      • Password: secret

   2. In the Grafana configuration menu, select Data Sources.

   3. Select Add data source.

   4. Select Prometheus from the list of data source types.

      

   5. Enter the Prometheus configuration information:

      • Name: redis-enterprise
      • URL: http://<your prometheus server name>:9090
      
   Note:

   • If the network port is not accessible to the Grafana server, select the Browser option from the Access menu.
   • In a testing environment, you can select Skip TLS verification.

6. Add dashboards for cluster, database, node, and shard metrics. To add preconfigured dashboards:

   1. In the Grafana dashboards menu, select Manage.
   2. Click Import.
   3. Upload one or more Grafana dashboards.