Jim Grisanzio talks with Sandesh Rao about Artificial Intelligence and Machine Learning, the latest technologies from Oracle in the AIOps space, how Sandesh manages teams, how he deals with change, and how industry trends are changing everything.

• Sandesh Rao, Oracle VP, AIOps

Podcast Host: Jim Grisanzio, Oracle Developer Relations
https://twitter.com/jimgris
https://developer.oracle.com/team/ 

Alert management for developers and ops teams may seem like a solved problem. Notifying an on-call engineer isn’t exactly difficult anymore, after all. But the real question has become when to alert the right person and how to help them when a service goes down, for example. Many are turning to AI to solve some […]

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With the growing reliance on the ubiquitous availability of IT systems and services, these systems become more global, scaled, and complex to operate. To maintain business viability, IT service providers must put in place reliable and cost efficient operations support. Artificial Intelligence for IT Operations (AIOps) is a promising technology for alleviating operational complexity of IT systems and services. AIOps platforms utilize big data, machine learning and other advanced analytics technologies to enhance IT operations with proactive actionable dynamic insight.

In this paper we share our experience applying the AIOps approach to a production cloud object storage service to get actionable insights into system's behavior and health. We describe a real-life production cloud scale service and its operational data, present the AIOps platform we have created, and show how it has helped us resolving operational pain points.