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Applying AI to Root-Cause Analysis
Dror Mann | CO-Founder, VP Product
Confidential and Proprietary
Hi!
Dror Mann
VP Product & Co-Founder
Loom Systems
Head of Product
Voyager Labs
Head of Operations
IDF elite Intelligence unit
dror@loomsystems.com
Confidential and Proprietary
• Intro – The Digital Era
• Root-Cause Analysis today
• What can we expect from AI
• Live Demo
• Q&A
Agenda
Reality
DevOps
The Problem
Confidential and Proprietary
Root-Cause Analysis Today
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Remedy
Apply fix
Confidential and Proprietary
Detection
Detect
There is a problem
• Helpdesk / Users
• Monitoring system
Confidential and Proprietary DETECT - Monitoring System
Confidential and Proprietary
Analyze
Detect
There is a problem
Analyze
Where and What is the
Root-cause
• Helpdesk / Users
• Monitoring system
• Search for Errors
• Hunch based (contextual)
• Weird phenomena (spikes,
texts length)
• Correlate
ANALYZE – Search for Errors
Confidential and Proprietary ANALYZE – Search for Errors
Confidential and Proprietary ANALYZE – Hunch Based / Contextual
Confidential and Proprietary ANALYZE – Weird Phenomena - Spikes
Confidential and ProprietaryANALYZE – Weird Phenomena – Textual Structures
This textual structure
looks weird…
Confidential and Proprietary ANALYZE – Correlations
Confidential and Proprietary
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Research
• Helpdesk / Users
• Monitoring system
• Google
• Consult with Dev
• Search for Errors
• Hunch based (contextual)
• Weird phenomenons
(spikes, texts length)
• Correlate
Confidential and Proprietary UNDERSTAND – Google Search
Confidential and Proprietary
Root-Cause Analysis Today - Summary
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Remedy
Apply fix
• Helpdesk / Users
• Monitoring system
• Google
• Consult with Dev
• Escalate or patch• Search for Errors
• Hunch based (contextual)
• Weird phenomenons
(spikes, texts length)
• Correlate
Very dependent on Human
What if there’s a better way?
Confidential and Proprietary
Pattern Recognition
Strict Methodology
Large Dimensionality
HUMANS
Good at top-down, open-ended tasks
BOTS
Superior at defined, bottom-up tasks
Deep reasoning
Contextual thinking
(Hungry)
(Married)
(Get tired)
Collect + Parse Learn Baselines
and Alert
Correlate &
Isolate
Enrich with
Insight/Action
Root-Cause Analysis using AI
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Confidential and Proprietary
“I’ve been hearing this for 20 years”
Total Recall, a movie based on a book from 1966, featuring a
self-driving car as science fiction.
If Artificial-Intelligence has matured enough to drive your car,
it can probably also help with your IT.
Skeptic?!
Let’s see it live
Confidential and Proprietary PRE-PROCESS
Confidential and ProprietaryANALYZE – Search for EVERY “Bad” Keyword
Confidential and ProprietaryANALYZE – Use Anomaly Detection to detect issues in Production
Confidential and Proprietary ANALYZE – Look for Weird Phenomena
Confidential and ProprietaryANALYZE – Correlate Issues ALL across your stack
Confidential and Proprietary ANALYZE – Isolate the Root-Cause
Confidential and ProprietaryRESEARCH – Find Insights and Recommendations
Confidential and Proprietary Machine Learning – Feedback Loops
Confidential and Proprietary
Prepare the Data Automated Pre-processing
Search for Issues (Reactive) Anomaly Detection (Proactive)
Analyze and Correlate Automated Root-Cause Analysis
Seek Solutions by Research Insights from an ever-growing Knowledge Base
Define What to Monitor Measure-All Approach
Built for Scale
Before AI With AI
Human Analyst Robot Analyst
Q&A
Thank You!
dror@loomsystems.com

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