Grafana dashboard
Tarantool Grafana dashboard is available as part of Grafana Official & community built dashboards. There’s a version for Prometheus data source and one for InfluxDB data source. Tarantool Grafana dashboard is a ready for import template with basic memory, space operations, and HTTP load panels, based on default metrics package functionality.
Dashboard requires using metrics 0.8.0 or newer for complete experience;
'alias' global label must be set on each instance
to properly display panels (e.g. provided with cartridge.roles.metrics role).
Since there are Prometheus and InfluxDB data source Grafana dashboards, you can use
- Telegraf as a server agent for collecting metrics, InfluxDB as a time series database for storing metrics, and Grafana as a visualization platform; or
- Prometheus as both a server agent for collecting metrics and a time series database for storing metrics, and Grafana as a visualization platform.
For issues concerning setting up Prometheus, Telegraf, InfluxDB, or Grafana instances please refer to the corresponding project’s documentation.
To collect metrics for Prometheus, first set up metrics output with
prometheus format. You can use cartridge.roles.metrics
configuration or set up the Prometheus output plugin manually.
To start collecting metrics,
add a job
to Prometheus configuration with each Tarantool instance URI as a target and
metrics path as it was configured on Tarantool instances:
scrape_configs:
- job_name: "example_project"
static_configs:
- targets:
- "example_project:8081"
- "example_project:8082"
- "example_project:8083"
metrics_path: "/metrics/prometheus"
To collect metrics for InfluxDB, use the Telegraf agent.
First off, configure Tarantool metrics output in json format
with cartridge.roles.metrics configuration or
corresponding JSON output plugin. To start collecting metrics,
add http input
to Telegraf configuration including each Tarantool instance metrics URL:
[[inputs.http]]
urls = [
"http://example_project:8081/metrics/json",
"http://example_project:8082/metrics/json",
"http://example_project:8083/metrics/json"
]
timeout = "30s"
tag_keys = [
"metric_name",
"label_pairs_alias",
"label_pairs_quantile",
"label_pairs_path",
"label_pairs_method",
"label_pairs_status",
"label_pairs_operation",
"label_pairs_level",
"label_pairs_id",
"label_pairs_engine",
"label_pairs_name",
"label_pairs_index_name"
]
insecure_skip_verify = true
interval = "10s"
data_format = "json"
name_prefix = "example_project_"
fieldpass = ["value"]
Be sure to include each label key as label_pairs_<key> so it will be
extracted with plugin. For example, if you use { state = 'ready' } labels
somewhere in metric collectors, add label_pairs_state tag key.
If you connect Telegraf instance to InfluxDB storage, metrics will be stored
with "<name_prefix>http" measurement ("example_project_http" in our example).
Open Grafana import menu.
To import a specific dashboard, choose one of the following options:
- paste the dashboard id (
12567for InfluxDB dashboard,13054for Prometheus dashboard), or - paste a link to the dashboard (https://grafana.com/grafana/dashboards/12567 for InfluxDB dashboard, https://grafana.com/grafana/dashboards/13054 for Prometheus dashboard), or
- paste the dashboard JSON file contents, or
- upload the dashboard JSON file.
Set dashboard name, folder, uid (if needed), and datasource-related query parameters (InfluxDB source, measurement and policy or Prometheus source, job and rate time range).
