Logentries collects, analyzes and produces actionable insights from the huge quantities of machine- generated log data (often referred to as 'log files' or 'machine data') from the computers, servers, and other hardware and software systems running in the cloud or within a data center environment. The foundation of Logentries rests on the simple premise that log files should be filtered, pre-processed and correlated up front for quicker and easier retrieval of the individual log entries that matter most. In turn, this pre-processing is combined with a collective insights model that enables important information to be dynamically tagged, automatically routed, and easily shared across teams and computing platforms. This model eliminates the need for an in-house data expert or specialist to interpret and use the data. It unlocks the power of data so that anyone, including developers, IT operations personnel, and business analysts can monitor system performance and troubleshoot potential issues. Founded in 2010, Logentries emerged from University College Dublin's Performance Engineering Laboratory after a decade of joint research with IBM. With support from Launchpad, UCD's Nova Innovation Center and financial support from Enterprise Ireland, Logentries was incubated in Dogpatch Labs, Dublin.

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