Open iT ComputeAnalyzer vs. SpeedCurve

Website performance monitoring:

• Setting performance targets and alerts
• Investigating performance degradation (including data stored before the issue was detected)
• Improving the team's performance awareness and knowledge

Incentivized

• Store performance checks
• User interface is great to help analyse the data
• Simple yet effective interface
• Offer some insights and other tools to help make sense of the data

Incentivized

• The interface has some confusing points, for instance aggregation setting (percentiles, median) is misleading, and doesn't do anything in some cases
• Some additional statistical tools would super charge the charts and alerts: moving average, some more useful trend lines
• The performance charts are amazing to compare many values (from different pages, multiple metrics) and find correlations. But the charts are barely usable when many metrics are shown (one cannot tell a line from the other). A simple UI improvement there could supercharge this use case

Incentivized

SpeedCurve actually uses many of those standard tests, and stores the information from test runs indefinitely. This is the game changer.

Incentivized

• Speedcurve facilitates and empowers performance improvements that lead the higher conversion rates, user engagement and ultimately GMV
• Through it's interface and automation, Speed curve saves hundreds of hours in investigations around performance issues
• By facilitating performance analysis and knowledge sharing, SpeedCurve allows our teams to be more performance-aware, preventing performance issues from even happening

Incentivized