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Sophie’s Scale Increases to Support 40,000 Events per Second

May 25, 2018 | Noam Abramovitz
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We are excited to announce that Sophie, Loom Systems’ AI log analysis platform, now supports 40,000 EPS!

As Sophie’s capabilities grow, so does our customers’ desire to utilize it across additional departments of their organizations, resulting in a need for scale increase. The increase, achieved in a telco environment, not only allows additional users to enjoy our product but also lets Sophie analyze and correlate anomalies across larger data sets and even more complex IT environments.


Due to Loom Systems’ pricing approach, which is based on monitoring instances instead of log volume, our customers can enjoy the increase in Sophie’s scale regardless of how much they are paying. This allows us to provide a hermetic solution without forcing our users to leave large portions of their data unattended, while offering a fixed and predictable pricing that doesn’t spike during crises.

Next stop – 200,000 EPS!


Loom Systems delivers an AI-powered log analysis solution to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down. Schedule Your Live Demo here!

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