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. 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.
Session Highlights:
• Insights into AHF enhancements to current functionality and new features in 21c
• Learn early detection of anomalies and performance issues, their root causes and corrective actions
• Targeted postmortem analysis enabling quick resolution
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Analysis of Database Issues using AHF and Machine Learning v2 - SOUG
1. VP AIOps for the Autonomous Database
Sandesh Rao
SOUG 2022
Analysis of Database Issues using AHF
and Machine Learning
@sandeshr
https://www.linkedin.com/in/raosandesh/
https://www.slideshare.net/SandeshRao4
3. Install
OEDA Dec 2019+: AHF is already installed in your base image
Earlier versions either from RU or install from Doc 1070954.1
Installation and staying up to date
Exacloud ECS installer
One release behind latest
Release Updates
One release behind latest
MOS Download
Latest release
Doc 1070954.1
Upgrade Upgrade Upgrade
4. EXAchk
Automatic proactive warnings
before you’re impacted
Results viewable in the
tool of your choice
Regular emails with
check results
Compliance checks for most
impactful reoccurring problems
No need to send
anything to Oracle
REDUCE
YOUR RISK
64. VP AIOps for the Autonomous Database
Sandesh Rao
Thank you
@sandeshr
https://www.linkedin.com/in/raosandesh/
https://www.slideshare.net/SandeshRao4