Console templates

    Console templates are the most powerful way to create templates that can be easily managed in source control. There is a learning curve though, so users new to this style of monitoring should try out Grafana first.

    Prometheus comes with an example set of consoles to get you going. These can be found at on a running Prometheus and will display Node Exporter consoles if Prometheus is scraping Node Exporters with a job="node" label.

    The example consoles have 5 parts:

    1. A navigation bar on top
    2. A menu on the left
    3. Time controls on the bottom
    4. The main content in the center, usually graphs

    The navigation bar is for links to other systems, such as other Prometheis , documentation, and whatever else makes sense to you. The menu is for navigation inside the same Prometheus server, which is very useful to be able to quickly open a console in another tab to correlate information. Both are configured in console_libraries/menu.lib.

    The time controls allow changing of the duration and range of the graphs. Console URLs can be shared and will show the same graphs for others.

    Finally, the table on the right can be used to display statistics in a more compact form than graphs.

    This is a basic console. It shows the number of tasks, how many of them are up, the average CPU usage, and the average memory usage in the right-hand-side table. The main content has a queries-per-second graph.

    The prom_right_table_head and prom_right_table_tail templates contain the right-hand-side table. This is optional.

    prom_query_drilldown is a template that will evaluate the expression passed to it, format it, and link to the expression in the expression browser. The first argument is the expression. The second argument is the unit to use. The third argument is how to format the output. Only the first argument is required.

    Valid output formats for the third argument to prom_query_drilldown:

    • Not specified: Default Go display output.
    • humanize: Display the result using .
    • humanizeNoSmallPrefix: For absolute values greater than 1, display the result using metric prefixes. For absolute values less than 1, display 3 significant digits. This is useful to avoid units such as milliqueries per second that can be produced by humanize.
    • humanize1024: Display the humanized result using a base of 1024 rather than 1000. This is usually used with B as the second argument to produce units such as KiB and .
    • printf.3g: Display 3 significant digits.

    The graph library is invoked as:

    1. <div id="queryGraph"></div>
    2. <script>
    3.   node: document.querySelector("#queryGraph"),
    4.   expr: "sum(rate(http_query_count{job='myjob'}[5m]))"
    5. })
    6. </script>

    The head template loads the required Javascript and CSS.

    Parameters to the graph library:

    If both expr and name are lists, they must be of the same length. The name will be applied to the plots for the corresponding expression.

    Valid options for the yAxisFormatter and yHoverFormatter:

    • PromConsole.NumberFormatter.humanize: Format using .
    • PromConsole.NumberFormatter.humanizeNoSmallPrefix: For absolute values greater than 1, format using using metric prefixes. For absolute values less than 1, format with 3 significant digits. This is useful to avoid units such as milliqueries per second that can be produced by PromConsole.NumberFormatter.humanize.
    • PromConsole.NumberFormatter.humanize1024: Format the humanized result using a base of 1024 rather than 1000.