Major chart updates - variability, overlays, scaling & stacking

October 21 Bullet_white By Derek Bullet_white Comments Comments

When debugging performance problems, visualizing server metrics in a variety of ways is a critical part of isolating the cause:

  • Visualizing variance
  • Overlaying metrics to identify correlations
  • Scaling to compare several metrics with different units
  • Stacking graphs to visualize distributed setups

We’ve just released a major update to Scout’s charting functionality that makes it easier to analyze your metrics.


The average value of a metric only tells part of the story – where does the average fall in relation to the min & max? How volatile is the metric? Scout now shows the highs & lows for each time period when graphing via a shaded vertical column.


What’s the correlation between database load and web requests? Or how about average request and and memory usage? It’s easy to compare different metrics with overlays.


Have a complicated setup and need to compare several metrics with different units? No problem – Scout can scale each metric so you can compare them on a single graph.

Stacked Graphs

Stacked graphs help you get a complete picture of your distributed setup. Receiving requests across multiple web servers? Have several database servers? See how it all adds up with stacked graphs.

Accessing Charts

Just click on a metric when viewing a server in Scout and you’ll be directed to the charts page using the selected metric. From there, mix and match your metrics.

30-Day Free Trial

Want to try out charts? We offer a 30-day free trial on all of our plans. Sign up for Scout.

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