Just about everybody agrees that there's a lot of potentially valuable data tucked away in various system logs. The challenge has been finding a way to cost effectively sort through all that information to find any actionable intelligence.
To try and address that specific issue, Sumo Logic today launched a new cloud computing service that not only moves log management to the cloud in a way that reduces the size of those files, it also wraps a set of advanced analytics around that data to help IT organizations sort through all that data in real time.
According to Sumo Logic CTO Christian Beedgen, log management in the cloud is really an early instance of leveraging inexpensive cloud resources to manage Big Data. The historic problem with system logs is that they essentially consist of reams of data that are indecipherable. By centralizing the management of that information alongside a set of analytic applications in the cloud, Beedgen says that machine data can become an asset that can be used to identify everything from business trends to people who have unauthorized access to applications and systems.
Ultimately, Beedgen says the difference with Sumo Logic, which just picked up another $15 million in funding, comes down to being able to be proactive about identifying issues inside petabytes of data versus reacting to an event by searching through a limited number of log files in hopes of discovering something long after it has already happened.
Most IT organizations instinctively know that log files are valuable. But they've generally ignored them because it was too costly and difficult to aggregate and analyze the information. Combining cloud storage with analytics software, however, should finally take that issue off the table.