haveno/monitor

Bisq Network Monitor Node

The Bisq monitor node collects a set of metrics which are of interest to developers and users alike. These metrics are then made available through reporters.

The Settled release features these metrics:

• Tor Startup Time: The time it takes to start Tor starting at a clean system, unpacking the shipped Tor binaries, firing up Tor until Tor is connected to the Tor network and ready to use.
• Tor Roundtrip Time: Given a bootstrapped Tor, the roundtrip time of connecting to a hidden service is measured.
• Tor Hidden Service Startup Time: Given a bootstrapped Tor, the time it takes to create and announce a freshly created hidden service.
• P2P Round Trip Time: A metric hitchhiking the Ping/Pong messages of the Keep-Alive-Mechanism to determine the Round Trip Time when issuing a Ping to a seed node.
• P2P Seed Node Message Snapshot: Get absolute number and constellation of messages a fresh Bisq client will get on startup. Also reports diffs between seed nodes on a per-message-type basis.
• P2P Network Load: listens to the P2P network and its broadcast messages. Reports every X seconds.
• P2P Market Statistics: a demonstration metric which extracts market information from broadcast messages. This demo implementation reports the number of open offers per market.

The Settled release features these reporters:

• A reporter that simply writes the findings to System.err
• A reporter that reports the findings to a Graphite/Carbon instance using the plaintext protocol

Configuration

The Bisq Network Monitor Node is to be configured via a Java properties file. There is a default configuration file shipped with the monitor which reports to the one monitoring service currently up and running.

If you want to tweak the configuration, you can pass the location of the file as command line parameter:

./bisq-monitor /path/to/your/config.properties

A sample configuration file looks like follows:

## System configuration

# true overwrites the reporters picked by the developers (for debugging for example) (defaults to false)
System.useConsoleReporter=true

# 0 -> XMR_MAINNET, 1 -> XMR_LOCAL (default)
System.baseCurrencyNetwork=0

## Each Metric is configured via a set of properties.
##
## The minimal set of properties required to run a Metric is:
##
## YourMetricName.enabled=true|false
## YourMetricName.run.interval=10 [seconds]

#Edit and uncomment the lines below to your liking

#TorStartupTime Metric
TorStartupTime.enabled=true
TorStartupTime.run.interval=100
TorStartupTime.run.socksPort=90500 # so that there is no interference with a system Tor

#TorRoundTripTime Metric
TorRoundTripTime.enabled=true
TorRoundTripTime.run.interval=100
TorRoundTripTime.run.sampleSize=5
TorRoundTripTime.run.hosts=http://expyuzz4wqqyqhjn.onion:80 # torproject.org hidden service

#TorHiddenServiceStartupTime Metric
TorHiddenServiceStartupTime.enabled=true
TorHiddenServiceStartupTime.run.interval=100
TorHiddenServiceStartupTime.run.localPort=90501 # so that there is no interference with a system Tor
TorHiddenServiceStartupTime.run.servicePort=90511 # so that there is no interference with a system Tor

#P2PRoundTripTime Metric
P2PRoundTripTime.enabled=true
P2PRoundTripTime.run.interval=100
P2PRoundTripTime.run.sampleSize=5
P2PRoundTripTime.run.hosts=723ljisnynbtdohi.onion:8000, fl3mmribyxgrv63c.onion:8000
P2PRoundTripTime.run.torProxyPort=9060

#P2PNetworkLoad Metric
P2PNetworkLoad.enabled=true
P2PNetworkLoad.run.interval=100
P2PNetworkLoad.run.torProxyPort=9061
P2PNetworkLoad.run.historySize=500

#P2PNetworkMessageSnapshot Metric
P2PSeedNodeSnapshot.enabled=true
P2PSeedNodeSnapshot.run.interval=24
P2PSeedNodeSnapshot.run.hosts=3f3cu2yw7u457ztq.onion:8000, 723ljisnynbtdohi.onion:8000, fl3mmribyxgrv63c.onion:8000
P2PSeedNodeSnapshot.run.torProxyPort=9062

#P2PMarketStats Metric
P2PMarketStats.enabled=true
P2PMarketStats.run.interval=37
P2PMarketStats.run.hosts=ef5qnzx6znifo3df.onion:8000
P2PMarketStats.run.torProxyPort=9063

#PriceNodeStats Metric
PriceNodeStats.enabled=true
PriceNodeStats.run.interval=42
PriceNodeStats.run.hosts=http://5bmpx76qllutpcyp.onion, http://xc3nh4juf2hshy7e.onion, http://44mgyoe2b6oqiytt.onion, http://62nvujg5iou3vu3i.onion, http://ceaanhbvluug4we6.onion

#MarketStats Metric
MarketStats.enabled=true
MarketStats.run.interval=191

## Reporters are configured via a set of properties as well.
##
## In contrast to Metrics, Reporters do not have a minimal set of properties.

#GraphiteReporter
GraphiteReporter.serviceUrl=k6evlhg44acpchtc.onion:2003

Run

The distribution ships with a systemd .service file. Validate/change the executable/config paths within the shipped bisq-monitor.service file and copy/move the file to your systemd directory (something along /usr/lib/systemd/system/). Now you can control your Monitor Node via the usual systemd start/stop commands

systemctl start bisq-monitor.service
systemctl stop bisq-monitor.service

and

systemctl enable bisq-monitor.service

You can reload the configuration without restarting the service by using

systemctl reload bisq-monitor.service

Follow the logs created by the service by inspecting

journalctl --unit bisq-monitor --follow

Monitoring Service

A typical monitoring service consists of a Graphite and a Grafana instance. Both are available via Docker-containers.

Setting up Graphite

Install

For a docker setup, use

docker run -d --name graphite --restart=always -p 2003:2003 -p 8080:8080 graphiteapp/graphite-statsd

• Port 2003 is used for the plaintext protocol mentioned above
• Port 8080 offers an API for user interfaces.

more information can be found here

Configuration

For configuration, you must adapt the whisper database schema to suit your needs. First, stop your docker container by running

docker stop graphite

Find your config files within the Source directory stated in

docker inspect graphite | grep -C 2 graphite/conf\",

Edit storage-schemas.conf so that the frequency of your incoming data (configured in the monitor configs interval) is matched. For example, insert

[bisq]
pattern = ^bisq.*
retentions = 10s:1h,5m:31d,30m:2y,1h:5y

before the [default... blocks of the file. This basically says, that every incoming set of data reflects 5 minutes of the time series. Furthermore, every 30 minutes, the data is compressed and thus, takes less memory as it is kept for 2 years.

Further, edit storage-aggregation.conf to configure how your data is compressed. For example, insert

[bisq]
pattern=^bisq.*
xFilesFactor = 0
aggregationMethod = average

before the [default... blocks of the file. With this configuration, whenever data is aggregated, the average data is made available given that at least 0% of the data points (i.e. floor(30 / 5 * 40%) = 2 data points) exist. Otherwise, the aggregated data is dropped. Since we start the first hour with a frequency of 10s but only supply data every 4 to 6 minutes, our aggregated values would get dropped.

Please note, that I have not been able to get the whole thing to work without the 10s:1h part yet

Finally, update the database. For doing that, go to the storage directory of graphite, the Source directory stated in

docker inspect graphite | grep -C 2 graphite/conf\",

Once there, you have two options:

• delete the whisper directory

rm -r whisper

• update the database by doing

find ./ -type f -name '*.wsp' -exec whisper-resize.py --nobackup {} 10s:1h 5m:31d 30m:2y 1h:5y \;

and finally, restart your graphite container:

docker start graphite

Other than that, there is no further configuration necessary. However, you might change your iptables/firewalls to not let anyone access your Graphite instance from the outside.

Backup your data

The metric data is kept in the Source directory stated in

docker inspect graphite | grep -C 2 graphite/conf\",

ready to be backed up regularly.

Setting up Grafana

Install

For a docker setup, use

docker run -d --name=grafana -p 3000:3000 grafana/grafana

• Port 3000 offers the web interface

more information can be found here

Configuration

• Once you have Grafana up and running, go to the Data Source configuration tab.
• Once there click Add data source and select Graphite.
• In the HTTP section enter the IP address of your graphite docker container and the port 8080 (as we have configured before). E.g. http://172.170.1:8080
• Select Server (default) as an Access method and hit Save & Test.

You should be all set. You can now proceed to add Dashboards, Panels and finally display the prettiest Graphs you can think of. A working connection to Graphite should let you add your data series in a Graphs Metrics tab in a pretty intuitive way.

• Optional: hide your Grafana instance behind a reverse proxy like nginx and add some TLS.
• Optional: make your Grafana instance accessible via a Tor hidden service.

Backup your data

Grafana stores every dashboard as a JSON model. This model can be accessed (copied/restored) within the dashboard's settings and its JSON Model tab. Do with the data whatever you want.