diff --git a/examples/grafana/README.md b/examples/grafana/README.md index b75899424..b84044d14 100644 --- a/examples/grafana/README.md +++ b/examples/grafana/README.md @@ -4,9 +4,9 @@ The Fn server exports metrics using [Prometheus](https://prometheus.io/). This a -## Start a fn server and deploy some functions +## Start an Fn server and deploy some functions -This example requires a Fn server to be running and that you have deployed one or more functions. +This example requires an Fn server to be running and that you have deployed one or more functions. See the [front page](/README.md) or any of the other examples for instructions. The steps below assume that the Fn server is running at `localhost:8080`. @@ -49,7 +49,7 @@ scrape_configs: scrape_interval: 5s static_configs: - # Specify all the fn servers from which metrics will be scraped + # Specify all the Fn servers from which metrics will be scraped - targets: ['localhost:8080'] # Uses /metrics by default ``` Note the last line. This specifies the host and port of the Fn server from which metrics will be obtained. @@ -63,7 +63,7 @@ docker run --name=prometheus -d -p 9090:9090 \ ``` Note: The parameter `` --add-host="localhost:`route | grep default | awk '{print $2}'`" `` means that Prometheus can use localhost to refer to the host. (The expression `` `route | grep default | awk '{print $2}'` `` returns the IP of the host). -Open a browser on Prometheus's graph tool at [http://localhost:9090/graph](http://localhost:9090/graph). If you wish you can use this to view metrics and display metrics from the fn server: see the [Prometheus](https://prometheus.io/) documentation for instructions. Alternatively continue with the next step to view a ready-made set of graphs in Grafana. +Open a browser on Prometheus's graph tool at [http://localhost:9090/graph](http://localhost:9090/graph). If you wish you can use this to view metrics and display metrics from the Fn server: see the [Prometheus](https://prometheus.io/) documentation for instructions. Alternatively continue with the next step to view a ready-made set of graphs in Grafana. ## Start Grafana and load the example dashboard