Towards optimization of anomaly detection in DevOps
Context: DevOps has recently become a mainstream solution for bridging the gaps between development (Dev) and operations (Ops) enabling cross-functional collaboration. The DevOps concept of continuous monitoring may bring a lot of benefits to development teams such as early detection of run-time errors and various performance anomalies. Objective: We aim to explore deep learning (DL) solutions for