The 5 Best Methods for Drawing Insight out of Machine Data

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7
The 5 Best Methods for Drawing Insight out of Machine Data-7

The pursuit of data-driven decision making has put tracking, logging and monitoring at the forefront of the minds of product, sales and marketing teams. Engineers are generally familiar with gathering and tracking data to maintain and optimize infrastructure and application performance. However, with the power of data, other business groups are clamoring for the latest tools and instrumentation. Quite often the expense of implementation is undersold as merely placing a tag on a site or adding a library, and doesn’t take into account the additional expense of tracking unique aspects of the application. To complicate matters, there is usually quite a bit of confusion on the types of data being captured by the tools a company already has in place.

In this slideshow, Thomas Overton, from the Sumo Logic Developer Community, offers the five best methods for gaining insight from machine data.

 

Related Topics : IBM Looks to Redefine Industry Standard Servers, APC, Brocade, Citrix Systems, Data Center

 
More Slideshows

HCI 10 Reasons Why the Enterprise Is Turning to Hyperconverged Infrastructure

While HCI is certainly innovative in design, its true measure lies in the practical benefits it brings to data center management and operations. ...  More >>

DataM63-290x195 Data Storage Today: Key Takeaways from VMworld 2016

Survey findings include pain points for secondary storage, average restore times, the growth of hyperconvergence and rate of cloud adoption in enterprises.  ...  More >>

cloud51-190x128 5 Best Practices for Managing Zombie Cloud Infrastructure

IT administrators need to identify zombie assets, verify idle status and shut off anything that is unused. Here's how to get your dormant infrastructure back in shape. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.