Major chart updates - variability, overlays, scaling & stacking
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 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.
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.