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Zebrium
Zebrium
Zebrium uses unsupervised machine learning to automatically find the root cause.
A few weeks ago, their CTO wrote about a new beta feature leveraging the GPT-3 language model: Using GPT-3 for Plain Language Incident Root Cause from Logs. To recap: Zebrium’s unsupervised ML identifies the root cause of incidents and generates concise reports (typically between 5 and 20 log events) identifying the first event in the sequence (usually the root cause), worst symptom, others associated events and correlated metric anomalies.
GPT-3 integration allows them to take the next step: distilling root cause reports into concise natural language summaries by scanning the entire Internet for occurrences of a similar incident and extracting brief “English” descriptions for a user to parse.
You can read the full blog post here: https://www.zebrium.com/blog/real-world-examples-of-gpt-3-plain-lingual-root-cause-summaries-zebrium
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