Most modern day softwares generate human readable logs for developers/administrators to understand and realize the cause of any error or behavior of the system. However, both the volume, velocity and non-uniform log formats make it difficult for administrators to easily find root-cause of errors in their systems. NGLA is a log analytics framework which automatically detects log patterns and leverages these patterns to give state-of-the-art automated real-time log anomaly detection
Modern computer systems, from single servers to large cloud deployments, generate billions of events that reflect the state and operation of the system. CLUE provides a black-box, unsupervised debugging tool to mine event patterns and diagnose performance issues in these systems. CLUE uses novel data mining technologies for automated information retrieval and a state-of-the-art debugging toolset to integrate and profile event transactions.