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Traditional monitoring vendors require you to centralize their data before analyzing, creating a cost-prohibitive, unwieldy, and slow experience for engineers.

A real-world example, demonstrating how Edge Delta’s Anomaly Detection can spot issues in a Kubernetes environment and enable root-cause analysis.

At first glance, seeing the Data Optimization that occurs in Edge Delta seems like a pretty obvious value proposition and a product in and of itself.

Real Time Analysis of Data in the Cloud is Archaic, Expensive, and Limited. Welcome to the future.

If you’re like me, you’ve heard some buzz about a concept called “edge computing” but are skeptical about another fluffy term in cybersecurity. Is this a trend worth our...

There is a lot that can stress Nike management, but surely one such scenario is their point of sale system going down during a new product release. Thousands of customers...