Automatic post-deployment management of cloud applications

SelfTune interaction with Client (Developer Machine) into Data Store (Azure ML Workspace)

Cloud Intelligence/AIOps blog series

In the first two blog posts in this series, we presented our vision for Cloud Intelligence/AIOps (AIOps) research, and scenarios where innovations in AI technologies can help build and operate complex cloud platforms and services effectively and efficiently at scale. In this blog post, we dive deeper into our efforts to automatically manage large-scale cloud services in deployment. In particular, we focus on an important post-deployment cloud management task that is pervasive across cloud services

 

 

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