Abstract

Data-intensive applications have attracted considerable attention in recent years. Business organizations are increasingly becoming data-driven and therefore look for novel ways to collect, analyze, and leverage the data at their disposal. The goal of this chapter is to overview some recurring performance management activities for data-intensive applications, examining the role that artificial intelligence (AI) and machine learning are playing in enhancing practices related, among others, to configuration optimization, performance anomaly detection, load forecasting, and auto-scaling for these software systems.