Log aggregation is no longer cutting-edge, rather a needed part of the infrastructure toolkit, as well as a prudent business decision. How were logs leading to actionable conclusions in the past and how do we do it today? From log collector to aggregator to ingester, from parsing to indexing and storage, what are the top pain points and how can we do it [better]?
Jae wears several hats at LogDNA, including Sales/Solutions Engineer and Product Evangelist. He comes from Zerto and DellEMC where he consulted on virtualization data storage/protection solutions.
