作者: Odej Kao , Florian Schmidt , Jorge Cardoso , Alexander Acker , Sören Becker
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摘要: Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between research areas of machine learning, big data, streaming analytics, and management operations. AIOps, as a field, candidate to produce future standard operation management. To that end, AIOps has several challenges. First, it needs combine separate branches from other fields like software reliability engineering. Second, novel modelling techniques are needed understand dynamics different systems. Furthermore, requires lay out basis assessing: time horizons uncertainty imminent SLA violations, early detection problems, autonomous remediation, decision making, support various optimization objectives. Moreover, good understanding interpretability these aiding models important building trust employed tools domain experts. Finally, all this will result faster adoption further increase interest contribute bridging gap towards fully-autonomous operating The main aim AIOPS workshop bring together researchers both academia industry present their experiences, results, work progress field. The aims strengthen community unite goal joining efforts solving challenges currently facing. A consensus principles openness reproducibility boost area significantly.