MongoDB Analysis with Prometheus and Grafana Akira Kurogane - PowerPoint PPT Presentation

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MongoDB Analysis with Prometheus and Grafana Akira Kurogane Percona Talk Overview The 'math' in MongoDB metrics MongoDB's counters and 'gauges' mongodb_exporter metrics Prometheus equations PMM's Grafana dashboards

MongoDB Analysis with Prometheus and Grafana Akira Kurogane Percona
Talk Overview ● The 'math' in MongoDB metrics ○ MongoDB's counters and 'gauges' ○ mongodb_exporter metrics ○ Prometheus equations ● PMM's Grafana dashboards ● How to cook new dashboards 2
Mostly any The 'Math' in MongoDB Metrics software's Implementation Eventually enters your brain as: ● Mostly Counters ● A graph Eg. opcounters, bytes transferred ● An alert threshold ● Gauge values Eg. open cursors, WT 'tickets' in use ● Histograms The graph / threshold value is: Counters vs sub-ranges ● Rate function on a counter Exported as timeseries to a ● Instantaneous value of a gauge monitoring server. ● Derivative functions combining several of the above 3

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