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Sandesh Rao

Sandesh Rao – Oracle

@sandeshr

Sandesh Rao is a VP running the AIOps Automation for the Autonomous Database Group at Oracle Corporation specializing using AI/ML for different usecases from predicting faults before they happen to Anomaly Detection within log data , metrics data. His previous positions have focused on performance tuning , high availability , disaster recovery and architecting cloud based solutions using the Oracle Stack. With more than 18 years of experience working in the HA space and having worked on several versions of Oracle with different application stacks he is a recognized expert in RAC , Database Internals , PaaS , SaaS and IaaS solutions and solving Big Data related problems . Most of his work involves working with customers in the implementation of public and hybrid cloud projects in the financial , retailing , scientific , insurance , biotech and the tech space. He is also responsible for developing assessments for best practices for the Oracle Grid Infrastructure 19c including products like RAC (Real Application Clusters) , Storage (ASM , ACFS).

Sandesh Rao will present 2 sessions for ConTech2022

What’s new in the world of the Autonomous Database in 2022

This covers the new features and happenings in the autonomous database world and will help answer more questions DBA’s , Developers will have on the Autonomous Database from provisioning to backups , troubleshooting , tips and tricks , security and HA . This is a good introduction for on-prem DBA’s who want to learn how this works quickly without spending too much time on it . Questions like what does the free tier cover , how do I do backup or if its automated how do I manage it , how to scale up and down , how to secure their environment , how to use mtls , how to use tools like SQLDeveloper and SQLModeler , performance tuning all in a quick 45 minute session which might take weeks to pickup reading documentation or spanning several presentations
Analysis of Database Issues using AHF and Machine Learning

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 21c until present time. We will discuss how to use the data which is derived from the Bayesian Net framework of AHF to conduct root cause analysis, telemetry and remediations for issues. You will learn to utilize these features to determine 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.