Sandesh Rao

Sandesh Rao

VP - Oracle Autonomous Health and Machine Learning

Oracle Corporation

Biography

Sandesh has managed Support and Development organizations globally. He is also involved with Oracle DBaaS , PaaS , SaaS projects , tooling , automation for deployment and hardware based monitoring and diagnostics for the Oracle Cloud (OCI) and Oracle Managed Cloud Services . He is responsible for the autonomous health component which implements AIOps through the Autonomous Database Cloud . Prior to this Sandesh supported customers for Real Application Clusters , Exadata , Oracle Database Appliance and many other Database products.

Papers

Applied Machine Learning for Database Autonomous Health

Stream:Database / Technology

This session will focus on how Oracle is applying various Machine Learning technologies to the area of diagnostics to prevent performance issues and maintain availability. Details about the architectures and algorithms used for this Autonomous Health initiative will be covered for both Cloud and On-premise database deployments. Components and functionality covered will be Cluster Heath Advisor, Trace File Analyzer (Collector, Receiver and Web), Hang Manager, and Adaptive Bug Search.

Introducing new AIOps Innovations in Oracle 19c Autonomous Health Framework

Stream:Database / Technology

Oracle Autonomous Health Framework (AHF) is Oracle's Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 18c and coming in 19c. First successfully introduced in Cluster Health Advisor, and extended to Trace File Analyzer and Hang Manager, Oracle AHF's applied machine learning technology now enhances additional framework components. You will learn how to utilize these features for determining workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.

Using Oracle Autonomous Health Framework to Preserve Performance and Rapidly Recover

Stream:Database / Technology

This session will focus on the best practice use of the Oracle Autonomous Health Framework (AHF) with an emphasis on consolidated or private cloud database deployments. It will utilize a workload test driver and schemas that can be used to validate the prognostic and performance management functionality in Oracle AHF. Additionally, use cases focusing on best practices for runtime performance management, targeted diagnosis and rapid recovery to preserve availability will be covered.