RethinkDB is an open-source, NoSQL database that stores data in JSON-like documents and supports a variety of powerful features, such as real-time data replication, distributed query processing, and automatic failover. It was designed to be easy to use, scale quickly, and support fast, interactive queries. It enables developers to quickly build, manage, and query powerful applications with minimal effort.
The prerequisites for monitoring RethinkDB with Netdata are to have RethinkDB 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 RethinkDB monitoring please read the collector documentation.
You should now see the RethinkDB 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.
Connected Servers is the number of servers that are connected to the RethinkDB cluster. This metric is important to monitor as it is necessary to ensure that the cluster’s performance is maximized. If there are too few servers connected, the cluster’s performance will suffer. On the other hand, if there are too many servers connected, it can lead to an inefficient distribution of resources and can be detrimental to the cluster’s performance.
Active Clients is the number of clients that are actively connected to the RethinkDB cluster. This metric is important to monitor in order to ensure that the cluster is able to handle the load that is being put on it. If there are too few active clients, the cluster might be underutilized and not able to take advantage of its full potential. On the other hand, if there are too many active clients, the cluster might be overloaded and suffer from performance issues.
Queries per Second is the number of queries that are being processed by the RethinkDB cluster in a given second. This metric is important to monitor in order to ensure that the cluster is able to handle the load that is being put on it. Monitoring this metric can help identify any bottlenecks that might be affecting the cluster’s performance.
Documents per Second is the number of documents that are being processed by the RethinkDB cluster in a given second. This metric is important to monitor in order to ensure that the cluster is able to handle the load that is being put on it. Monitoring this metric can help identify any bottlenecks that might be affecting the cluster’s performance.
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