<p>It's no longer acceptable for an application performance management (APM) solution to just identify the problem. Rather, a full-fledged APM solution needs to help resolve that problem. To do that, it needs to compare the source of an application performance problem against extensive historical information about the environment so that you're able to determine the root cause and everywhere it might have an impact.</p><p>In other words, you have a big data problem on your hands. Why? Because the only way to achieve performance analysis with sufficient richness is by accumulating high-definition transaction trace information and storing in a big data repository. Only big data methods are able to store a complete transaction history to ensure the highest degree of analysis accuracy. Here's why Big Data APM will become even more important in 2014: Application complexity and SOA driving need for end-to-end transaction tracing</p><p>Complex, multi-tier applications that span numerous physical and virtual servers and connect to a range of SOA, in-house, and third party application services has become the norm. End-to-end transaction tracing, starting with the user and traversing all of the application tiers, across the network and back has emerged as the go-to strategy to monitor and manage performance for complex application environments.</p><p>End-to-end transaction tracing is exceptional for providing the detail to provide code-level insight into application performance problems, but by itself provides no additional information that gives insight into how that problem impacts other transactions and the infrastructure.</p><p><a href="http://www.4-traders.com/RIVERBED-TECHNOLOGY-INC-33868/news/Riverbed-Technology-Inc--2014-is-the-year-of-Big-Data-APM-17629252/">Keep reading...</a></p>