What advanced technique is used in DevOps to analyze test data for predicting potential issues?
- A/B Testing
- Machine Learning
- Predictive Analytics
- Sentiment Analysis
Machine Learning is an advanced technique used in DevOps to analyze test data for predicting potential issues. By applying machine learning algorithms to historical test data, DevOps teams can identify patterns, trends, and anomalies that may indicate potential issues in the software. This proactive approach helps in predicting and addressing issues before they impact the production environment, contributing to improved software quality and reliability.
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