Detect Application/ infrastructure anomalies
The detection of anomalous activities in the infrastructure or the components of the application stack is very critical. Through anomaly detection, we can focus on the identification of data points and situations that are not complementary to the desired pattern.
Automated anomaly detection is all about identifying unusual patterns in the series of data based on increasing scale and margin. Advances in Machine Learning, Artificial Intelligence, and Deep Learning offer powerful log analytic solutions that enable anomalies to auto-detect. The adoption of anomaly detection makes one’s way of life at work efficient, faster, and more productive.
