RetroShare monitoring with Netdata

What is RetroShare?

RetroShare is a free, open source, cross-platform software for secure file sharing, chat, and VoIP. It enables users to securely communicate and share files with friends, family, and colleagues, with an emphasis on privacy and security. RetroShare uses end-to-end encryption for all communication, and its decentralized architecture ensures there is no central server that can be compromised.

Monitoring RetroShare with Netdata

The prerequisites for monitoring RetroShare with Netdata are to have RetroShare and Netdata installed on your system.

Netdata auto discovers hundreds of services, and for those it doesn’t turning on manual discovery is a one line configuration. For more information on configuring Netdata for RetroShare monitoring please read the collector documentation.

You should now see the RetroShare section on the Overview tab in Netdata Cloud already populated with charts about all the metrics you care about.

Netdata has a public demo space (no login required) where you can explore different monitoring use-cases and get a feel for Netdata.

What RetroShare metrics are important to monitor - and why?


Bandwidth is the amount of data that can be sent or received in a given amount of time. Monitoring bandwidth can help to identify issues with network latency. If bandwidth usage is consistently lower than expected, it could be an indication of problems with the network or a bottleneck in the connection between your RetroShare nodes.


Peers are the RetroShare nodes that are connected to your node. It is important to monitor the number of peers in order to ensure that your node is connected to the most up-to-date nodes. If the number of peers is too low, it may indicate that your node is not getting enough connections or that it is not connecting to the correct nodes.


DHT (Distributed Hash Table) is a distributed network protocol used by RetroShare to store and retrieve data. Monitoring the number of peers in the DHT can help to identify any issues with the network or performance of the nodes.

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