Red Hat OpenShift / AIOps | OpenShift

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co-chairs: Diane Mueller and Marcel Hild (Red Hat)
Guest Speaker(s)
Federator.ai OpenShift Cluster Optimization for Multi-Cloud – Brian Jeng (prophetstor)
Overcoming Tomorrow’s Operational Challenges with AIOps – Phil Tee (MoogSoft)
Log Anomaly Detection - Zak Hassan (Red Hat)
upcoming events:
AIOps SIG Meetup at Red Hat Summit - May 8, 2019 2:00 PM
location: OpenShift Commons Meet and Greet Booth in Community Central
2019 AIOps Exchange - Four Seasons Hotel, San Francisco, California | May 15, 2019
https://www.aiops-exchange.org/2019-aiops-exchange/

resources:

https://github.com/AICoE/log-anomaly-detector
https://groups.google.com/forum/#!forum/aiops

Next Meeting May 27th Monday 9:00 am Pacific

Overcoming Tomorrow's Operational Challenges with AIOps
Phil Tee CEO, Moogsoft
OpenShiftCommon AIOps SIG
April 29 2019

Introduction to ARCANNA - Automated Root Cause Analysis Neural Network Assisted – Bogdan Sass (Siscale)

recorded at the OpenShift Commons AIOps SIG mtg on March 25 2019

OpenShift Commons AIOps SIG Full Meeting March 25 2019

What is AI Ops - Marcel Hild (Red Hat)
ARCANNA - Bogdan Dass (Siscale)
Diskprohet - Brian Jeng (Prophetstor)

co-chairs: Diane Mueller and Marcel Hild (Red Hat)

DiskProphet: Disk Health Prediction Brian Jeng (ProphetStor)
recorded on March 25 2019 at OpenShift Commons AIOps SIG

What is AIOps Marcel Hild (Red Hat)
Recorded live at the OpenShift Commons AIOps SIG
March 25 2019

SLA is essential for those mission-critical applications running on OpenShift. Federator.ai, ProphetStor’s AIOps technologies, can empower OpenShift scaler/scheduler to ensure the operation of containers, and eliminate noisy neighbors by accurately predicting resource demand/ supply, performance and HW failure.

We’ll demonstrate the below:

HW failure prediction (ex. If a Ceph OSD was coming to fail in the next 2 weeks, how Federator.ai predicted the disk failure for Rook and rendered an impact analysis on pods)
Available capacity prediction for Rook with Ceph
Node and pod performance prediction for OpenShift
Pod allocation planning for OpenShift (plan resources in according to the above predictive demands and supplies)