# Storidge integration with Prometheus

The stats for a Storidge cluster is easily integrated into Prometheus (opens new window) or similar applications such as the Telegraf (opens new window) agent shipped with InfluxDB.

Storidge provides a containerized exporter (storidge/cio-prom) that exposes stats at port 16990 on the /metrics endpoint. This exporter aggregates stats from nodes in the Storidge cluster, including auto-discovering new nodes as they join the cluster. Your monitoring application can poll http://<IP_ADDRESS>:16990/metrics to scrap the metrics.


Releases of the containerized exporter (storidge/cio-prom) prior to September 17, 2020 uses port 16995 instead of 16990. See Prometheus Exporter table below.

Prometheus Exporter Port Storidge CIO compatibility
storidge/cio-prom:0.3 16990 v2.0.0-3336 and above
storidge/cio-prom:0.2 16995 v1.0.0-3249 and below

Setup Prometheus

Prometheus is the standard open-source monitoring solution for many clusters. As it does not come with a feature-rich dashboard, it is often paired with Grafana; Prometheus gathers time-series data, and Grafana visualizes it.

This guide assumes basic familiarity with Prometheus. Follow the link to install Prometheus.

Prometheus Setup Docs (opens new window)

Start exporter on Storidge cluster

Start the exporter as a service on a Storidge cluster.

docker service create \
--name cio_prom \
--publish 16990:16990 \

The exporter automatically gathers data from all nodes in the cluster, including data from newly added nodes.

Add exporter as target to external Prometheus monitor

If running the Prometheus monitor on an external server, add the exporter as a target to the Prometheus configuration file (prometheus.yml). In the static_configs section below, we are pointing the Prometheus monitor to port 16990 on the Storidge cluster. Any node IP address in the Storidge cluster can be used to pull the metrics.

# my global config
  scrape_interval:     10s
  evaluation_interval: 10s

# Alertmanager configuration
  - static_configs:
    - targets:
      # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
 - "prometheus.rules.yml"
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    - targets: ['']

Running Prometheus monitor on Storidge cluster

Edit Prometheus configuration file with localhost target on port 16990, if the Prometheus monitor is on the Storidge cluster, e.g.:

- targets: ['localhost:16990']

Start the Prometheus monitor, e.g.:

docker run --rm -d -p 9090:9090 \
-v /home/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
--net=host \
--name prom-monitor \

Replace the host network setting with your overlay network name as needed.

Monitor Storidge cluster metrics

Start Prometheus to watch the exporter (e.g. ./prometheus --config.file=prometheus.yml). Verify Prometheus is serving metrics by navigating to IP address of your server at port 9090.

Prometheus Dashboard


If you do not see metrics being served, verify the IP address and port number. Also confirm time setting between the Storidge cluster and the Prometheus server is correct.

To visualize the metrics with Grafana, follow the steps in Grafana with Storidge (opens new window).

Exported metrics

The following cluster stats are available on each of the nodes.

Exported Cluster Data Description
cio_cluster_nodes_online Number of nodes that are healthy
cio_cluster_nodes_maintenance Number of nodes that are in maintenance mode
cio_cluster_nodes_cordoned Number of nodes that are cordoned
cio_cluster_drives_online Number of drives currently in use by CIO
cio_cluster_drives_available Number of drives that can be used by CIO
cio_cluster_drives_failed Number of drives are flagged as faulty, and should be replaced
cio_cluster_capacity_total Total capacity currently available in CIO cluster
cio_cluster_capacity_used Total capacity currently in use
cio_cluster_capacity_free Total capacity that is available for use
cio_cluster_capacity_provisioned Total capacity that is allocated for use by CIO volumes
cio_cluster_iops_total Total IOPS currently available in CIO cluster
cio_cluster_iops_used Total IOPS currently in use
cio_cluster_iops_free Total IOPS that is available for use
cio_cluster_iops_provisioned Total IOPS that is currently reserved for use by CIO volumes
cio_cluster_bw_total Total bandwidth currently available in CIO cluster
cio_cluster_bw_used Total bandwidth currently in use
cio_cluster_bw_free Total bandwidth that is available for use
cio_cluster_bw_provisioned Total bandwidth that is currently reserved for use by CIO volumes

The /metrics endpoint dynamically exports the following data about drives and volumes in the Storidge cluster. Metrics are removed once volumes are deleted. The data is derived from /proc/diskstats.

The sample data below applies to drives as well; however, they will be marked as drive and their name will be generated from node ID and drive letter, e.g. cio_drive_5927e513sdb_reads_merged.

Exported Volume Data Description
cio_volume_vd0_current_ios Number of current IOs in progress
cio_volume_vd0_reads_completed Number of reads that have been performed on the volume
cio_volume_vd0_reads_merged Number of times that two or more similar reads have been merged for increased efficiency
cio_volume_vd0_sectors_read Number of sectors that have been read
cio_volume_vd0_sectors_written Number of sectors that have been written
cio_volume_vd0_time_doing_ios Time doing IOs, in ms
cio_volume_vd0_time_reading Time spent reading, in ms
cio_volume_vd0_writes_completed Number of write operations that have been completed on the volume
cio_volume_vd0_time_writing Time spent writing, in ms
cio_volume_vd0_writes_merged Number of times that two or more write requests have been merged for increased efficiency

The API response data is also exported.

Exported API Data Description
cio_api_calls The total number of API calls
cio_api_calls_ok The total number of calls that returned 200 OK
cio_api_calls_bad_request The total number of calls that returned 400 BAD REQUEST
cio_api_calls_not_found The total number of calls that returned 404 NOT FOUND
cio_api_calls_conflict The total number of calls that returned 409 CONFLICT
cio_api_calls_internal_server_error The total number of calls that returned 500 INTERNAL SERVER ERROR
cio_api_calls_errors_overall The total number of calls that returned non-200 OK responses

Configuring Metrics To Export

Environment variables can be passed to configure the amount of metrics exported. The default settings are API_LEVEL=2, DRIVE_LEVEL=1, and SYSTEM_LEVEL=1.

The following environment variables and values are supported:

Environment Variable Description
API_LEVEL=2 All API stats are exported
API_LEVEL=1 Only Total OK and Total Errors are exported
API_LEVEL=0 No API stats exported
DRIVE_LEVEL=1 All drive stats exported
DRIVE_LEVEL=0 No drive stats exported
SYSTEM_LEVEL=1 All cluster stats from cio info are exported
SYSTEM_LEVEL=0 No cluster stats from cio info exported


docker service create --name cio_prom --publish 16990:16990 -e API_LEVEL=1 -e SYSTEM_LEVEL=0 -e DRIVE_LEVEL=1 storidge/cio-prom:latest
Last Updated: 9/18/2020, 4:26:30 AM