Monitor CockroachDB with Prometheus

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CockroachDB generates detailed time series metrics for each node in a cluster. This page shows you how to pull these metrics into Prometheus, an open source tool for storing, aggregating, and querying time series data. It also shows you how to connect Grafana and Alertmanager to Prometheus for flexible data visualizations and notifications.

Tip:
All files used in this tutorial can be found in the monitoring directory of the CockroachDB repository.

Before You Begin

Make sure you have already started a CockroachDB cluster, either locally or in a production environment.

Step 1. Install Prometheus

  1. Download the 2.x Prometheus tarball for your OS.

  2. Extract the binary and add it to your PATH. This makes it easy to start Prometheus from any shell.

  3. Make sure Prometheus installed successfully:

    $ prometheus --version
    
    prometheus, version 2.2.1 (branch: HEAD, revision: bc6058c81272a8d938c05e75607371284236aadc)
      build user:       root@149e5b3f0829
      build date:       20180314-14:21:40
      go version:       go1.10
    

Step 2. Configure Prometheus

  1. Download the starter Prometheus configuration file for CockroachDB:

    icon/buttons/copy
    $ wget https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/prometheus.yml \
    -O prometheus.yml
    

    When you examine the configuration file, you'll see that it is set up to scrape the time series metrics of a single, insecure local node every 10 seconds:

    • scrape_interval: 10s defines the scrape interval.
    • metrics_path: '/_status/vars' defines the Prometheus-specific CockroachDB endpoint for scraping time series metrics.
    • scheme: 'http' specifies that the cluster being scraped is insecure.
    • targets: ['localhost:8080'] specifies the hostname and http-port of the Cockroach node to collect time series metrics on.
  2. Edit the configuration file to match your deployment scenario:

    Scenario Config Change
    Multi-node local cluster Expand the targets field to include 'localhost:<http-port>' for each additional node.
    Production cluster Change the targets field to include '<hostname>:<http-port>' for each node in the cluster. Also, be sure your network configuration allows TCP communication on the specified ports.
    Secure cluster Uncomment scheme: 'https' and comment out scheme: 'http'.
  3. Create a rules directory and download the aggregation rules and alerting rules for CockroachDB into it:

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    $ mkdir rules
    
    icon/buttons/copy
    $ cd rules
    
    icon/buttons/copy
    $ wget -P rules https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/rules/aggregation.rules.yml
    
    icon/buttons/copy
    $ wget -P rules https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/rules/alerts.rules.yml
    

Step 3. Start Prometheus

  1. Start the Prometheus server, with the --config.file flag pointing to the configuration file:

    $ prometheus --config.file=prometheus.yml
    
    INFO[0000] Starting prometheus (version=1.4.1, branch=master, revision=2a89e8733f240d3cd57a6520b52c36ac4744ce12)  source=main.go:77
    INFO[0000] Build context (go=go1.7.3, user=root@e685d23d8809, date=20161128-10:02:41)  source=main.go:78
    INFO[0000] Loading configuration file prometheus.yml     source=main.go:250
    INFO[0000] Loading series map and head chunks...         source=storage.go:354
    INFO[0000] 0 series loaded.                              source=storage.go:359
    INFO[0000] Listening on :9090                            source=web.go:248
    INFO[0000] Starting target manager...                    source=targetmanager.go:63
    
  2. Point your browser to http://<hostname of machine running prometheus>:9090, where you can use the Prometheus UI to query, aggregate, and graph CockroachDB time series metrics.

    • Prometheus auto-completes CockroachDB time series metrics for you, but if you want to see a full listing, with descriptions, point your browser to http://<hostname of a CockroachDB node>:8080/_status/vars.
    • For more details on using the Prometheus UI, see their official documentation.

Step 4. Send notifications with Alertmanager

Active monitoring helps you spot problems early, but it is also essential to send notifications when there are events that require investigation or intervention. In step 2, you already downloaded CockroachDB's starter alerting rules. Now, download, configure, and start Alertmanager.

  1. Download the latest Alertmanager tarball for your OS.

  2. Extract the binary and add it to your PATH. This makes it easy to start Alertmanager from any shell.

  3. Make sure Alertmanager installed successfully:

    $ alertmanager --version
    
    alertmanager, version 0.15.0-rc.1 (branch: HEAD, revision: acb111e812530bec1ac6d908bc14725793e07cf3)
      build user:       root@f278953f13ef
      build date:       20180323-13:07:06
      go version:       go1.10
    
  4. Edit the Alertmanager configuration file that came with the binary, simple.yml, to specify the desired receivers for notifications.

  5. Start the Alertmanager server, with the --config.file flag pointing to the configuration file:

    $ alertmanager --config.file=simple.yml
    
  6. Point your browser to http://<hostname of machine running alertmanager>:9093, where you can use the Alertmanager UI to define rules for silencing alerts.

Step 5. Visualize metrics in Grafana

Although Prometheus lets you graph metrics, Grafana is a much more powerful visualization tool that integrates with Prometheus easily.

  1. Install and start Grafana for your OS.

  2. Point your browser to http://<hostname of machine running grafana>:3000 and log into the Grafana UI with the default username/password, admin/admin, or create your own account.

  3. Add Prometheus as a datasource, and configure the datasource as follows:

    Field Definition
    Name Prometheus
    Default True
    Type Prometheus
    Url http://<hostname of machine running prometheus>:9090
    Access Direct
  4. Download the starter Grafana dashboards for CockroachDB:

    # runtime dashboard: node status, including uptime, memory, and cpu.
    $ wget https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/grafana-dashboards/runtime.json
    
    # storage dashboard: storage availability.
    $ wget https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/grafana-dashboards/storage.json
    
    # sql dashboard: sql queries/transactions.
    $ wget https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/grafana-dashboards/sql.json
    
    # replicas dashboard: replica information and operations.
    $ wget https://raw.githubusercontent.com/cockroachdb/cockroach/master/monitoring/grafana-dashboards/replication.json
    
  5. Add the dashboards to Grafana.


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