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AI Anomaly Detector

BackendDevOps

A highly efficient, real-time anomaly detection system for distributed microservices architecture that leverages Redis's advanced probabilistic data structures (RedisBloom) for memory-efficient data collection and RedisGears for in-database processing. An AI model analyzes data patterns to identify and predict system failures before they cascade.

Technologies Used

RedisRedisBloomRedisGearsPythonMachine LearningMicroservicesReal-time AnalyticsAnomaly Detection

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