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73 lines
2.0 KiB
Markdown
73 lines
2.0 KiB
Markdown
class: nbt, extra-details
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## Measuring network conditions on the whole cluster
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- Since we have built-in, cluster-wide discovery, it's relatively straightforward
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to monitor the whole cluster automatically
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- [Alexandros Mavrogiannis](https://github.com/alexmavr) wrote
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[Swarm NBT](https://github.com/alexmavr/swarm-nbt), a tool doing exactly that!
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.exercise[
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- Start Swarm NBT:
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```bash
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docker run --rm -v inventory:/inventory \
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-v /var/run/docker.sock:/var/run/docker.sock \
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alexmavr/swarm-nbt start
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```
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]
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Note: in this mode, Swarm NBT connects to the Docker API socket,
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and issues additional API requests to start all the components it needs.
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---
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class: nbt, extra-details
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## Viewing network conditions with Prometheus
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- Swarm NBT relies on Prometheus to scrape and store data
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- We can directly consume the Prometheus endpoint to view telemetry data
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.exercise[
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- Point your browser to any Swarm node, on port 9090
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(If you're using Play-With-Docker, click on the (9090) badge)
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- In the drop-down, select `icmp_rtt_gauge_seconds`
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- Click on "Graph"
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]
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You are now seeing ICMP latency across your cluster.
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---
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class: nbt, in-person, extra-details
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## Viewing network conditions with Grafana
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- If you are using a "real" cluster (not Play-With-Docker) you can use Grafana
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.exercise[
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- Start Grafana with `docker service create -p 3000:3000 grafana`
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- Point your browser to Grafana, on port 3000 on any Swarm node
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- Login with username `admin` and password `admin`
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- Click on the top-left menu and browse to Data Sources
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- Create a prometheus datasource with any name
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- Point it to http://any-node-IP:9090
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- Set access to "direct" and leave credentials blank
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- Click on the top-left menu, highlight "Dashboards" and select the "Import" option
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- Copy-paste [this JSON payload](
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https://raw.githubusercontent.com/alexmavr/swarm-nbt/master/grafana.json),
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then use the Prometheus Data Source defined before
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- Poke around the dashboard that magically appeared!
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]
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