prysm-pulse/shared/prometheus
Raul Jordan 72dc43989f
Stream Validator and Beacon Logs via gRPC Streams (#8150)
* implement validator logs stream

* fix test

* tidy

* proto regen

* add logs stream to the beacon node

* beacon logs working

* impl

* pass test

* gaz

* rem lock

* fix space
2020-12-18 18:03:24 +00:00
..
BUILD.bazel Stream Validator and Beacon Logs via gRPC Streams (#8150) 2020-12-18 18:03:24 +00:00
content_negotiation.go Update error usage patterns to go1.13+ (#7529) 2020-10-14 17:39:52 +00:00
logrus_collector_test.go Better naming for constructor funcs (#7316) 2020-09-23 08:59:49 +00:00
logrus_collector.go Enforce error handling and checking type assertions (#5403) 2020-04-13 04:11:09 +00:00
README.md Added Prometheus Client and p2p Metrics (#673) 2018-11-15 07:54:45 -05:00
service_test.go Better naming for constructor funcs (#7316) 2020-09-23 08:59:49 +00:00
service.go Stream Validator and Beacon Logs via gRPC Streams (#8150) 2020-12-18 18:03:24 +00:00
simple_server.go Properly log and handle HTTP server error (#2685) 2019-06-12 19:58:49 -04:00

How to monitor with prometheus

Prerequisites:

Start scrapping services

To start scrapping with prometheus you must create or edit the prometheus config file and add all the services you want to scrap, like these:

global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
    monitor: 'codelab-monitor'

# 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: 'prometheus'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s

    static_configs:
      - targets: ['localhost:9090']
+  - job_name: 'beacon-chain'
+    static_configs:
+      - targets: ['localhost:8080']

After creating/updating the prometheus file run it:

$ prometheus --config.file=your-prometheus-file.yml

Now, you can add the prometheus server as a data source on grafana and start building your dashboards.

How to add additional metrics

The prometheus service export the metrics from the DefaultRegisterer so just need to register your metrics with the prometheus or promauto libraries. To know more Go application guide