Improving Adobe Experience Cloud Services Dependability with Machine Learning
Adobe Experience Cloud is a collection of best-in-class solutions for marketing, analytics, advertising, and commerce. All integrated on a cloud platform for a single experience system of record. The Adobe Experience Cloud's SRE team works hand-in-hand with the Product and Engineering teams to build dependable services. In this presentation you will learn how the team leverage Adobe's artificial intelligence and machine learning engine, to first, build predictive auto-scaling and self-healing services. Second, to provide insight and automate risk classification of production changes to reduce impact on services availability.
This talk will discuss work and finding by Adobe's SRE using LSTM, ETS, Linear Regression, Boosted Tree, Multi-Layer Perceptron, and Support Vector Models.
Nicolas Brousse, a Cloud Technology Leader, became Director of Operations Engineering at Adobe (NASDAQ: ADBE) after the acquisition of TubeMogul (NASDAQ: TUBE). As TubeMogul's sixth employee and first operations hire, Nicolas has built and grown Adobe/TubeMogul's infrastructure over the past ten years from several machines to over eight thousand servers that handle ±350 billions requests per day for clients like Allstate, Chrysler, Heineken and Hotels.com. Adept at adapting quickly to ongoing business needs and constraints, Nicolas leads a global team of site reliability engineers, cloud engineers, software engineers, security engineers, and database architects that build, manage, and monitor Adobe Advertising Cloud's infrastructure 24/7 and adhere to "DevOps" methodology. https://nicolas.brousse.info/