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Are there spikes in usage or traffic over time that correlate with when the issue is reported. Are there spikes in memory usage, CPU, or disk usage over time? If you know the approximate time the issue occurred or if there is a suspicious spike in metrics around a certain time, check the logs around that time.

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The average speed is the same as going 1 mile at speed X and 1 mile at speed Y: It makes sense for the average to be skewed towards the slower speed (closer to 30 than 60). After all, we spend twice as much time going 30mph than 60mph: if work is 60 miles away, it’s 2 hours there and 1 hour back.

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In the Vera ecosystem there was a handy plug-in called DataMine, that allowed one to pick any device's various parameters, log them to a separate DB as a time-value pair whenever they changed, and then pull up graphs to compare any set of logged values, over time. And the best part, no programming or scripting required by the end-user.

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See full list on prometheus.io Time-series databases are optimal for storing IoT data. According to InfluxData, makers of a leading time-series database, InfluxDB, a time-series database (TSDB), is a database optimized for time-stamped or time-series data. Time series data are simply measurements or events that are tracked, monitored, downsampled, and aggregated over time.

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Mar 27, 2019 · TREND formula for time series trend analysis in Excel. Supposing you are analyzing some data for a sequential period of time and you want to spot a trend or pattern. In this example, we have the month numbers (independent x-values) in A2:A13 and sales numbers (dependent y-values) in B2:B13.

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Time series is a sequence of data points in chronological sequence, most often gathered in regular intervals. Time series analysis can be applied to any variable that changes over time and generally speaking, usually data points that are closer together are more similar than those further apart. Time Series Data Components

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