ceremonyclient/go-libp2p/dashboards
Cassie Heart ebb31fd792 v1.4.19
2024-06-08 11:32:45 +00:00
..
autonat v1.4.19 2024-06-08 11:32:45 +00:00
autorelay Launch readiness: import utility 2023-08-20 23:07:43 -05:00
eventbus v1.4.19 2024-06-08 11:32:45 +00:00
holepunch v1.4.19 2024-06-08 11:32:45 +00:00
identify v1.4.19 2024-06-08 11:32:45 +00:00
relaysvc v1.4.19 2024-06-08 11:32:45 +00:00
resource-manager v1.4.19 2024-06-08 11:32:45 +00:00
swarm v1.4.19 2024-06-08 11:32:45 +00:00
dashboard.yml Launch readiness: import utility 2023-08-20 23:07:43 -05:00
datasources.yml Launch readiness: import utility 2023-08-20 23:07:43 -05:00
docker-compose-linux.yml Launch readiness: import utility 2023-08-20 23:07:43 -05:00
docker-compose.base.yml v1.4.19 2024-06-08 11:32:45 +00:00
prometheus.yml Launch readiness: import utility 2023-08-20 23:07:43 -05:00
README.md v1.4.19 2024-06-08 11:32:45 +00:00

Grafana Dashboards

This directory contains prebuilt dashboards (provided as JSON files) for various components. For steps on how to import and use them please read the official Grafana documentation.

Public dashboards

You can check the following prebuilt dashboards in action:

  1. AutoNAT
  2. Auto Relay
  3. Eventbus
  4. Identify
  5. Relay Service
  6. Swarm

These metrics come from one of the public IPFS DHT bootstrap nodes run by Protocol Labs. At the time of writing (2023-08), these nodes handle many connections across various libp2p implementations, versions, and configurations (they don't handle large file transfers).

Using locally

For local development and debugging, it can be useful to spin up a local Prometheus and Grafana instance.

To expose metrics, we first need to expose a metrics collection endpoint. Add this to your code:

import "github.com/prometheus/client_golang/prometheus/promhttp"

go func() {
    http.Handle("/debug/metrics/prometheus", promhttp.Handler())
    log.Fatal(http.ListenAndServe(":5001", nil))
}()

This exposes a metrics collection endpoint at http://localhost:5001/debug/metrics/prometheus. Note that this is the same endpoint that Kubo uses, so if you want to gather metrics from Kubo, you can skip this step.

On macOS:

docker compose -f docker-compose.base.yml up

On Linux, dashboards can be inspected locally by running:

docker compose -f docker-compose.base.yml -f docker-compose-linux.yml up

and opening Grafana at http://localhost:3000.

Making Dashboards usable with Provisioning

The following section is only relevant for creators of dashboards.

Due to a bug in Grafana, it's not possible to provision dashboards shared for external use directly. We need to apply the workaround described in https://github.com/grafana/grafana/issues/10786#issuecomment-568788499 (adding a few lines in the dashboard JSON file).