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Summary:

Boston-based startup wants to bring analysis of billions of data points to non-techies and now adds an alerting service and an AWS S3 archiving option to the mix.

Logentries team (from left) Andrew Burton, President & CEO; Trevor Parsons, Chief Research Officer & Co-Founder; Viliam Holub, CTO & Co-Founder

Logentries, which wants to take on Splunk and Sumo Logic with real-time log management and analytics for mere mortals, is now rolling out alerts that can help businesses get more value out of data streaming in from distributed devices — along with the ability to save that log data to an Amazon S3 repository.

The Boston-based company thinks there’s a huge opportunity helping non-techies make sense of all that machine-generated data spit out by all manner of sensors and devices in the internet of things.

The alerting feature is available as part of the Logentries service and users can sign up for the Amazon S3 archiving beta now.

In some respects, Logentries also competes with offerings like TempoDB, which the Logentries CEO says is more focused on developers who will need to put together a lot of piece parts while Logentries’ aim is to provide “out of the box analytics and archiving for anyone.”

They’ve also got to have their eye on Kinesis, the real-time data streaming service announced by Amazon Web Services last fall.

Logentries - screen

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  1. Log data goes hand in hand with general monitoring and often you want to be notified when events happen, hence the alerting. We’ve used this kind of functionality from Papertrail in the past when a certain logged error message then causes and issue we need to investigate.

    I’ll be interested to see how these companies push the products forward when they start analysing the data for you – surfacing patterns and insights you might otherwise miss in a huge sea of text data. Who will get there first? Loggly, Papertrail, Splunk or Logentries?

    One concern is pricing as they charge by the data ingested, which also costs you to send out of your network. On premise solves all those problems…but then you have to pay Splunk!

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