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What is DevOps Anomaly Detection Framework about?

The document presents the DevOps Anomaly Detection Framework (DADF), which utilizes Machine Learning and Artificial Intelligence to automate the detection of anomalies in software systems during DevOps practices. DADF consists of two components: Anomaly Detection Before Production (ADBP) and Anomaly Detection After Staging (ADAS), both of which were experimentally validated in real-world projects, achieving high accuracy and effectiveness. The framework addresses the challenges of manual log inspection by p

Author

savag3.369

Language

EN