--- LinkTitle: Get started Title: Get started with monitoring Redis Software alwaysopen: false categories: - docs - integrate - rs description: Collect and visualize Redis Software metrics. group: observability summary: Collect and visualize your Redis Software metrics. type: integration weight: 5 tocEmbedHeaders: true aliases: /operate/rs/monitoring/prometheus_and_grafana/ --- You can use Prometheus and compatible integrations to collect and visualize your Redis Software metrics. Metrics are exposed at the cluster, node, database, shard, and proxy levels. - [Prometheus](https://prometheus.io/) is an open source systems monitoring and alerting toolkit that aggregates metrics from different sources. You can use Prometheus integrations to: - Collect and display metrics not available in the Cluster Manager UI - Set up automatic alerts for all resources - Display Redis Software metrics alongside data from other systems ## Prometheus integrations You can integrate Redis Software with Prometheus and one of the following tools to collect and visualize your deployment's metrics: - [Grafana]({{}}) - [Datadog]({{}}) - [Dynatrace]({{}}) - [New Relic]({{}}) {{}} ## Prometheus quick start To get started with Prometheus: 1. Create a directory called `prometheus` on your local machine. 1. Within that directory, create a configuration file called `prometheus.yml`. 1. Add the following contents to the configuration file and replace `` with your Redis Software cluster's FQDN: {{< multitabs id="prometheus-config-yml" tab1="v2 (metrics stream engine)" tab2="v1" >}} ```yml 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 Software - job_name: redis-enterprise scrape_interval: 30s scrape_timeout: 30s metrics_path: /v2 scheme: https tls_config: insecure_skip_verify: true static_configs: - targets: [":8070"] ``` -tab-sep- ```yml 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 Software - job_name: redis-enterprise scrape_interval: 30s scrape_timeout: 30s metrics_path: / scheme: https tls_config: insecure_skip_verify: true static_configs: - targets: [":8070"] ``` {{< /multitabs >}} 1. Set up your Prometheus server. {{< note >}} We recommend running Prometheus in Docker only for development and testing. {{< /note >}} To set up Prometheus on Docker: 1. Create a _docker-compose.yml_ file: ```yml version: '3' services: prometheus-server: image: prom/prometheus ports: - 9090:9090 volumes: - ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml ``` 1. To start the containers, run: ```sh $ docker compose up -d ``` 1. To check that all of the containers are up, run: ```sh docker ps ``` 1. In your browser, sign in to Prometheus at `http://localhost:9090` to make sure the server is running. 1. Select **Status** and then **Targets** to check that Prometheus is collecting data from your Redis Software cluster. {{The Redis Software target showing that Prometheus is connected to the Redis Software 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. 1. Integrate Redis Software and your Prometheus server with one of the [compatible tools](#prometheus-integrations). For help, see the integration guide and official documentation for your chosen tool. 1. Add dashboards for cluster, database, node, and shard metrics.