Retailers need to heed big data in their machine logs

By Bruno Kurtic, Founding Vice President of Product and Strategy, Sumo Logic IT Management

Seasonality: Similarly, an elastically scalable cloud model eliminates the need for retailers to provision log management for peaks or bursty data patterns – such as for seasonal and holiday sales – and also eliminates the severe underutilization that occurs when equipment and software run at perhaps 20 percent of capacity during retail off seasons. Retailers also reduce costs by eliminating the need for infrastructure support.

Embedded knowledge: Cloud solutions have the opportunity to derive insights across many customers who use similar infrastructure components (e.g., VMware, Linux, or Apache) and provide those insights across all of their customers who leverage similar software stacks. For example, a zero-day failure caused by an upgrade to a version of an application or operating system detected at a subset of customers can be proactively pushed to other users who leverage the same software components, and can thereby prevent an issue from ever occurring in their infrastructure.

Log management is critical to a retailer's business and security posture. It's essentially the analytics tool that allows you to understand and predict the buying behaviors of your own customers, while preventing outages and attacks that could cause customer churn or damage your brand.

About the author:

Bruno Kurtic joined Sumo Logic from SenSage, where he was the Vice President of Product Management. Before joining SenSage, Bruno was with the Boston Consulting Group (BCG) where he developed and implemented growth strategies for large high-tech clients. Prior to BCG, he spent six years at webMethods, where he was a Product Group Director for two product lines. At webMethods he started the west coast engineering team and played a key role in the acquisition of Active Software. He was also with Andersen Consulting's Center for Strategic Technology in Palo Alto and founded a software company that developed handwriting and voice recognition software. Bruno holds an undergraduate degree in Quantitative Methods and Computer Science from University of Saint Thomas and an MBA from Massachusetts Institute of Technology (MIT).

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