The rise of Edge Computing and Multi-cloud deployment has exacerbated the challenges around the 4V’s of the data – Volume, Velocity, Veracity, and Variety. The traditional approach of Collect ->Store ->Search results in data stores results in data swamps, due to repetitive and redundant data, without many actionable insights. Traditional search tools need data to be ingested, indexed, and then searched using proprietary query languages, creating data silos.

Log Intelligence as a Service, is very effective in implementing cyber security mandates for log retention, and preventing security breaches by optimizing Security Incident and Event Management(SIEM), predictive business analytics, incident response, cloud automation, and orchestration.

Existing Log Analytics solutions ingest repetitive and redundant data which drives licensing TCO exorbitantly high, drives compute and storage infrastructure costs, and most importantly results in poor MTTI and MTTR.