From 0d37837619378e30610485e14722082625a38a92 Mon Sep 17 00:00:00 2001 From: Jake Howard Date: Thu, 10 Sep 2020 09:18:40 +0100 Subject: [PATCH] Add `traefik-influx-metrics` post --- content/posts/traefik-influx-metrics/index.md | 82 ++++++++++++++++++ .../traefik-influx-metrics/raw-stats.png | Bin 0 -> 74002 bytes .../traefik-influx-metrics/website-stats.png | Bin 0 -> 53780 bytes 3 files changed, 82 insertions(+) create mode 100644 content/posts/traefik-influx-metrics/index.md create mode 100644 content/posts/traefik-influx-metrics/raw-stats.png create mode 100644 content/posts/traefik-influx-metrics/website-stats.png diff --git a/content/posts/traefik-influx-metrics/index.md b/content/posts/traefik-influx-metrics/index.md new file mode 100644 index 0000000..cc82661 --- /dev/null +++ b/content/posts/traefik-influx-metrics/index.md @@ -0,0 +1,82 @@ +--- +title: Observing Traefik with InfluxDB +date: 2020-09-10 +image: resource:website-stats.png +tags: [containers, self-hosting] +--- + +Traefik's dashboard is a great tool to diagnose routing issues, and check services are being detected correctly, but it can't do much more than that. It doesn't show any metrics. Instead, it relies (arguably correctly) on external monitoring tools for metrics. + +Traefik supports 4 metric backends: [Datadog](https://docs.traefik.io/observability/metrics/datadog/), [Prometheus](https://docs.traefik.io/observability/metrics/prometheus/), [StatsD](https://docs.traefik.io/observability/metrics/statsd/) and [InfluxDB](https://docs.traefik.io/observability/metrics/influxdb/). [InfluxDB](https://www.influxdata.com/products/influxdb-overview/) is the tool I'm going to be integrating, as I already know how to work with it. I [recently set up](https://github.com/RealOrangeOne/infrastructure/commit/ec751ffa1ad1b5dfe18bc8c3384da0ba8fa75025) Traefik to export metrics into InfluxDB, to then be reported on using Grafana. + +## Create an InfluxDB + +The first step is to create your InfluxDB instance to store the metric data. For me, I used the [official InfluxDB Docker container](https://hub.docker.com/_/influxdb): + +``` +influxdb: + image: influxdb:1.8-alpine + restart: unless-stopped + volumes: + - "./influxdb:/var/lib/influxdb" +``` + +## Configure InfluxDB for Traefik + +By default, Traefik uses UDP to push data into InfluxDB rather than HTTP, due to its lower latency and ["fire and forget"](https://en.wikipedia.org/wiki/Fire-and-forget) nature, although this is configurable. InfluxDB's container doesn't listen for UDP traffic by default, so it'll need to be made to: + +``` +environment: + - INFLUXDB_UDP_ENABLED=true + - INFLUXDB_UDP_DATABASE=traefik +``` + +### Host mode + +Because I run Traefik in host mode, the networking set up is a little different to normal. Usually containers in the same `docker-compose.yml` file can communicate over the default network just fine, but because Traefik is in host mode this doesn't work. Instead, I bind InfluxDB to listen on a local port on the host, and point Traefik at that: + +``` +ports: + - "127.0.0.1:38089:8089/udp" + - "127.0.0.1:38086:8086" + ``` + +We expose 2 ports here because Traefik will be using UDP, and Grafana requires HTTP. We could change Traefik to use HTTP, but using the default felt a lot simpler, and reduces overhead. + +## Configure Traefik + +Traefik now needs to be told to push metrics into our new InfluxDB database. For this, some configuration needs to be added into `traefik.yml`: + +``` +metrics: + influxDB: + address: "127.0.0.1:38089" + database: traefik + pushInterval: 60s +``` + +This tells Traefik to push its metrics into InfluxDB every 60 seconds. + +Give Traefik a restart and it should start working, not that you'll be able to see anything. Be sure to check the logs for errors. + +## Creating Grafana datasource + +Next, we need to create the Grafana data source for InfluxDB. This works in the same way as adding other data sources, just be sure to add the HTTP port (8086) for InfluxDB, not UDP (8089). + +## Exploring the data + +Using Grafana's "Explore" page, we can take a look at the data being provided by Traefik. There are several metrics output, but the one I focus most on is `traefik.service.requests.total`, which tallies requests for each service. + +``` +SELECT sum("count") FROM "traefik.service.requests.total" WHERE $timeFilter GROUP BY time($__interval), "service" fill(none) +``` + +The above query will show you the number of requests per `$__interval` hitting each of your services. + +![Query results](raw-stats.png) + +The documentation on what exactly count means is rather absent, but after [some digging](https://godoc.org/github.com/go-kit/kit/metrics/influx#Influx) discovered it's the number of requests hitting the service or entry point between each push from Traefik. I've set this to 1 minute to make calculations and graphing easier, but depending on scale you may want to adjust that, or the `GROUP BY time()` statement. + +## Wrapping up + +Now, you've got metrics about your Traefik instances into Grafana for future graphing and querying needs. 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