APM is an Intelligence Problem

Traditional application performance monitoring (APM) models relied on the intelligence of administrators, who would monitor a limited number of parameters affecting system outcomes. However, with the rise of distributed systems and Hadoop-based big data deployments, this approach has become inadequate due to increased complexity and numerous sources of data. Acceldata's unique approach to APM for distributed systems involves source and stream signals from all layers, identify insights and patterns using heuristics and machine learning algorithms, and enable administrators visually with extensible insights instead of logs. This allows the Big Data team to deliver better results by treating operational metrics as converted insights that consider current and past system performance.