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.

Variability

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.

Overlays

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.

Scaling

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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