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Minor tweaks to README
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@@ -4,9 +4,9 @@ The Fn server exports metrics using [Prometheus](https://prometheus.io/). This a
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<img src="../../docs/assets/GrafanaDashboard.png" width="800">
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## Start a fn server and deploy some functions
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## Start an Fn server and deploy some functions
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This example requires a Fn server to be running and that you have deployed one or more functions.
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This example requires an Fn server to be running and that you have deployed one or more functions.
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See the [front page](/README.md) or any of the other examples for instructions.
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The steps below assume that the Fn server is running at `localhost:8080`.
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@@ -49,7 +49,7 @@ scrape_configs:
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scrape_interval: 5s
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static_configs:
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# Specify all the fn servers from which metrics will be scraped
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# Specify all the Fn servers from which metrics will be scraped
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- targets: ['localhost:8080'] # Uses /metrics by default
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```
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Note the last line. This specifies the host and port of the Fn server from which metrics will be obtained.
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@@ -63,7 +63,7 @@ docker run --name=prometheus -d -p 9090:9090 \
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```
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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).
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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.
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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.
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## Start Grafana and load the example dashboard
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