Deploying into Production: The need for a Red Light

July 23, 2019 | Larry Lancaster

As scale and complexity grow, there are diminishing returns from pre-deployment testing. A test writer cannot envision the combinatoric explosion of coincidences that yield calamity. We must accept that deploying into production is the only definitive test.

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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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Structure is Strategic

October 31, 2018 | Larry Lancaster

We structure machine data at scale

Zebrium helps dev and test engineers find hidden issues in tests that “pass”, find root-cause faster than ever, and validate builds with self-maintaining problem signatures. We ingest, structure, and auto-analyze machine data - logs, stats, and config - collected from test runs.

 

We structure machine data at scale

 

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