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Metrics

fairyring & fairyringclient provide support for metrics to allow users to monitor the health, performance and status of fairyring & fairyringclient.

fairyring setup​

fairyring uses Prometheus to publish metrics, It can be enabled through the config.toml file.

#######################################################
###       Instrumentation Configuration Options     ###
#######################################################
[instrumentation]

# When true, Prometheus metrics are served under /metrics on
# PrometheusListenAddr.
# Check out the documentation for the list of available metrics.
prometheus = true

# Address to listen for Prometheus collector(s) connections
prometheus_listen_addr = ":26660"

# Maximum number of simultaneous connections.
# If you want to accept a larger number than the default, make sure
# you increase your OS limits.
# 0 - unlimited.
max_open_connections = 3

# Instrumentation namespace
namespace = "fairyring"

After enabling metrics in config.toml, If you restart your node, you can check if the metrics are working by:

curl localhost:26660/metrics

fairyringclient setup​

fairyringclient enables metrics on port :2222 by default, you can check your metrics port by:

fairyringclient config show

Example Output:

Using config file: /Users/fairblock/.fairyringclient/config.yml
GRPC Endpoint: 127.0.0.1:9090
FairyRing Node Endpoint: http://127.0.0.1:26657
Chain ID: fairyring-testnet-1
Chain Denom: ufairy
InvalidSharePauseThreshold: 5
MetricsPort: 2222

You can update the metrics port by the following command:

fairyringclient config update --metrics-port NEW_PORT

Prometheus installation and Setup​

After enabling metrics on fairyring node / fairyringclient, you will need a program to scrape its data, we suggest using Prometheus in this example.

  1. Install Prometheus by following the Official Installation guide in the same machine as your node.
  2. Create a Prometheus config file, we will create one at $HOME/.fairyring/config/prometheus.yml in this example.

The config file should look something like this:

global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'Fairyring'
    scrape_interval: 5s
    static_configs:
      - targets: ['localhost:26660']
  - job_name: 'FairyringClient'
    scrape_interval: 5s
    static_configs:
      - targets: ['localhost:2222']
  1. Start Prometheus server:

prometheus --config.file="$HOME/.fairyring/config/prometheus.yml" --web.listen-address="0.0.0.0:2112"

Prometheus runs its server on port 9090 by default, we suggest to run Prometheus in a different port, 2112 in this case, to avoid conflict with the fairyring node gRPC port (9090 by default`).

Visualization​

After installing Prometheus and enabling fairyring metrics, you will need something to visualize the data. We suggest using Grafana for building a dashboard to visualize the data.

You can use their cloud service of run it yourself. You can follow their Official Installation Guide for a tutorial on installing Grafana. After installing Grafana, you can start it by:

grafana server

The command above will start a server on localhost:3000.

After you started a Grafana server, you can now create your own dashboard or import the one we already created for fairyring & fairyringclient.