2 years ago

Category: Database, Data, Kubernetes

Latency measurements have become an important part of IT infrastructure and application monitoring. There are, however, a number of technical challenges associated with managing and analyzing latency data.

Organizations that are faced with the challenge of digesting and analyzing massive amounts of distribution data can now rely on a consistent, interchangeable and stable representation of that data, a significant capability for the monitoring now and in the future. The volume of data IT organizations are responsible for collecting and analyzing is growing substantially year over year.

Organizations are inaccurately concluding they are hitting or not hitting SLOs and basing key operational decisions on this data that can cost them thousands of dollars a year.