Final Answer:
To query a collection of time series in Borgmon, you can use the MQL (Monitoring Query Language) to specify the metrics and conditions for retrieval. For example, to retrieve the average CPU usage over the last hour for a set of servers, you can use the query: `avg(ts(cpu.usage, server=<server_list>), "1h")`.
Step-by-step explanation:
In Borgmon, the Monitoring Query Language (MQL) is used to query time series data. The provided example query demonstrates how to retrieve the average CPU usage over the last hour for a specified list of servers. The `avg` function calculates the average of the specified time series, and the `ts` function specifies the metric (in this case, CPU usage) and conditions (such as the list of servers). The time duration for the query is specified with the second argument of the `avg` function, where "1h" denotes one hour.
MQL allows for flexible and powerful querying of time series data, enabling users to analyze and extract relevant information from the monitored metrics. The subscript notation, such as `<server_list>`, represents a placeholder for the actual list of servers you want to include in the query. This makes the query adaptable and applicable to different scenarios by substituting specific server names into the placeholder.
Understanding and effectively using MQL is essential for efficiently retrieving and analyzing time series data in Borgmon. It provides a structured and expressive way to interact with the monitoring system, facilitating the extraction of meaningful insights from the collected metrics.