Performance Bottleneck Prediction

Lawrence Berkeley National Laboratory’s implementation of a system it calls AIIO (for AI in I/O) demonstrated significant performance improvements. The team reported in a research paper that it evaluated 40 months of logs to diagnose how AIIO could diagnose bottlenecks in three real applications. AIIO diagnosed the bottlenecks in all three applications and, by addressing them, researchers improved the I/O performance by 1.8x, 2.1x and a staggering 146x, respectively.

Swiss flash sale online retailer DeinDeal deployed New Relic to help it manage a technology infrastructure that has become increasingly complex over time. Like other limited-time sale sites, DeinDeal experiences a big surge in traffic after sending out its daily deal emails. “It’s like having a Black Friday every morning,” Alexandre Branquart, chief technology officer and chief information officer at DeinDeal, was quoted as saying in a New Relic case study. “There’s a lot at stake. We need to prevent bottlenecks and identify and resolve issues before they affect customers on our site.” With mobile customers accounting for about half of its business, it’s important to prevent any slowdowns of the retailer’s mobile apps and New Relic helped DeinDeal fix a persistent bug that had resulted in a number of user complaints. “New Relic has been particularly useful in helping us determine whether a bottleneck or issue lies within the application or within the server,” says Thomas Chretien, web tech lead and architect at DeinDeal. “With this holistic picture of the integration between mobile and its back end, we have also improved our understanding of performance bottlenecks across our platform.”

Global spending on application performance monitoring, including vendors offering AI-powered tools, was estimated at $7.52 billion in 2023 and is projected to reach USD 19.62 billion by 2030, growing at a CAGR of 15.1% from 2024 to 2030, according to Grand View Research.