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THE EXPERIENCE EDGE Guesswork Out of Wi-Fi Planning and Optimization: Introduction to NetInsight
Lars KølendorfRegional Director, Aruba Northern Europe
LEVERAGING THE NETWORKAS A PLATFORM
InsightsSecurity Location
THE NETWORK IS THE CENTRAL NERVOUS SYSTEM
ISSUES FOR IT OPERATIONS / MANAGEMENT
Limited Resources and Expertise
Only 0-2% growth in budgets
More Devices,Apps and Services
11.2B Building IoT devices
by 2021
Legacy Tools
Limited insights and intelligence
SO A NEW APPROACH AND INSIGHTS IS NEEDED
PROACTIVEautomated detection of problems before
impact
PRESCRIPTIVErecommendations
for resolution/ improvements
ADAPTIVEand ongoing
validation to changesin environment
Driven by high quality data and machine learning
AnomalyDetection
Identification & prevention of performance issues
Work efficiently, resolve issues faster, focus on real
issues
User Experience Insights
Connectivity analytics across network services
Faster time to resolution
ImpactValidation
Before & after view of network changes
Assess and quantify results
Wi-Fi Benchmarking
Wi-Fi configrecommendations based on
peer comparisons
Effortless and optimized placement and
configuration of AP
INTRODUCING ARUBA NETINSIGHT?AI-POWERED ANALYTICS AND ASSURANCE TO
PROACTIVELY OPTIMIZE USER EXPERIENCE
FROM THE NETWORK
PERSPECTIVEMachineLearning
Latest CloudTechnology
DATA COLLECTOR
DHCP SERVERS
MOBILITY CONTROLLERS
ACCESS POINTS
HOW ARUBA NETINSIGHT WORKS
IP address, domain resolution data
Authentication data - access timeouts, portal response, etc.
AP placement data
Wi-Fi health data: airtime/client efficiency, roaming, client
Compression & security
Data extraction from multiple sources
Analysis applying Machine Learning & Aruba network expertise
Automated insights & recommendations
Intelligence from 100K-5MM APs(1MM Clients)
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GOAL IS TO FIND & FIX ISSUES EASIER AND FASTER- BEFORE THEY TURN INTO BIGGER PROBLEMS
Anomaly Detection with automatic baselining of “normal” performance
Anomaly details & impact
Automatic rootcause & recommendations to fix
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NETINSIGHT CONFIGURATION OPTIMIZATIONExample from current customer
Flagged problem, specific to a location
Root cause
Detailed analysis
Peer comparison
Recommended changes
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BEFORE AFTER
Impact Validationof network changes by closely monitoring Key Performance Metrics
• Traffic, Connectivity,SNR, Speed, Airtime Utilization/Efficiency, etc.
ENSURING YOUR CHANGES MAKE A DIFFERENCE
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ANOTHER EXAMPLE: 802.1x FAILURES FOR APPLE TV’s
Problem: Apple TV’s having thousands of auth failures every day
Root Cause: Certificate validation fails on Apple TV due to incorrect system time
Solution: Connect to wired port, correct time on Apple TVs
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UPLINK USAGE PER DEVICE TYPE ANOMALIES
Individual device doing BitTorrent– Uplink traffic over 7 days exceeds 1.463 GB
– Device classification: OS X
– Session breakdown by AppRF:– Large number of destination IP addresses– Traffic classified as BitTorrent
Dropbox bug on many devices– Multiple Windows devices generating 10 to 20 GB uplink traffic per day
– Caused by known bug in Dropbox client software
Deliver great experiences, preserve brand reputation
Minimize disruptions, keep the business running at its best
CUSTOMER OUTCOMES
TIME SAVED
Faster problem diagnosisand remediation
Prevent issues from occurring, fewer calls
to help desk
BETTER EXPERIENCES
Problem Today
57% of the time users
detect issues before IT
LESS SETUP, MORE INSIGHTS
MACHINE LEARNING MODEL
Expert-driven selection of metrics
Cold-start using 7 days of data
Supervised & unsupervised algorithms
Anonymous data collection
VIRTUAL EXPERTISE
No manual thresholds needed
Wi-Fi score(pulls from large database)
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WHY ARUBA NETINSIGHT:TAKING THE GUESS-WORK OUT OF Wi-Fi
o Proactively optimize Wi-Fi network & user experienceo Continuously identify & prevent problems
o Benchmark & learn from peer networks for continuous improvemento Configuration recommendations
for best network performance for the spaceo Validate outcomes of changes to the network
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NetInsightNetwork View:
Mobility Controllers, AP’s, AirWave, ClearPass, DHCP
Use case: User connectivity, benchmarking, Wi-Fi scores, anomaly detection
Cape NetworksUser/Client View:
Cape sensors
Use case: User- /device- /app-specific connectivity, Wi-Fi and wired performance —passive and active
Network PerspectiveUsers’ Perspective
MOBILITY CONTROLLERS
INSTANT ACCESS POINTS DHCP
SERVERS
ARUBA’s ANALYTICS AND ASSURANCE COVERAGE
MORE INFORMATION
www.arubanetworks.com/products/networking/analytics-and-assurance/
Analytics and AssuranceBusiness Overview
Features Overview
EXPERIENCES POWERED BY ARUBA