Using machine learning to detect anomalies in logs

June 5, 2019 | Larry Lancaster
At Zebrium, we have a saying: “Structure First”. We talk a lot about structuring because it allows us to do amazing things with log data. But most people don’t know what we mean when we say the word “structure”, or why it allows for amazing things like anomaly detection. This is a gentle and intuitive introduction to “structure” as we mean it.

At Zebrium, we have a saying: “Structure First”. We talk a lot about structuring because it allows us to do amazing things with log data. But most people don’t know what we mean when we say the word “structure”, or why it allows for amazing things like anomaly detection. This is a gentle and intuitive introduction to “structure” as we mean it.

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Perfectly structuring logs without parsing

May 16, 2019 | Gavin Cohen

Developers and testers constantly use log files and metrics to find and troubleshoot failures. But their lack of structure makes extracting useful information without data wrangling, regexes and parsing scripts a challenge.

Developers and testers constantly use log files and metrics to find and troubleshoot failures. But their lack of structure makes extracting useful information without data wrangling, regexes and parsing scripts a challenge.

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