AIOps-Driven Network Performance Management: The First Step Toward Self-Healing Networks

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
AIOps-Driven Network Performance Management:
The First Step Toward Self-Healing Networks
Shamus McGillicuddy
VP of Research
EMA
Anand Srinivas
CTO
Nyansa, now part of VMware
Craig Connors
VP & CTO
VeloCloud, now part of VMware

Watch the On-Demand Webinar
Slide 2
• AIOps-Driven Network Performance Management: The First Step
Toward Self-Healing Networks on-demand webinar:
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• Check out upcoming webinars from EMA here:
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Featured Speakers
Slide 3 © 2020 Enterprise Management Associates, Inc.
Shamus McGillicuddy, VP of Research, Network Management, EMA
Shamus has more than 12 years of experience in the IT industry, as an industry analyst
and journalist. At Enterprise Management Associates (EMA), he is the vice president for
the network management practice.
Anand Srinivas, CTO of Nyansa, now part of VMware
Anand joined VMware via the Nyansa acquisition in February 2020. Prior to joining VMware,
Anand was the CTO and Co-Founder of Nyansa Inc., an IT analytics and operations company
in Palo Alto, CA. At Nyansa, Anand ran product and technology and was a key driving force
behind significantly advancing the state of the art of Network Analytics.
Craig Connors, VP & CTO of VeloCloud, now part of VMware
Craig is currently VP and CTO for VMware SD-WAN by VeloCloud. Craig was previously the
Chief Architect for VMware SD-WAN, both before and after the acquisition. He came to
VeloCloud from Cisco Systems, where he worked in the Corporate Development Technology
Group's Advanced Development Team.

Shamus McGillicuddy
VP of Research, Network Management
EMA
AIOps-Driven Network Performance Management:
The First Step Toward Self-Healing Networks

Agenda
• Digital Enterprises Need to Transform Network Operations
• The AIOps Opportunity
• AIOps and Network Performance Management
• AIOps Drives Self-Healing Networks

INDUSTRY ANALYSIS & CONSULTINGSlide 6 © 2020 Enterprise Management Associates, Inc.
Digital Enterprises Need to Transform
Network Operations

Network Complexity is Worsening
Multiple Management
Domains
• Data center fabrics/overlays
• Wi-Fi
• SD-WANs & remote LAN
• Multi-cloud networks
Endpoint Diversity
• Laptops/desktops
• BYOD
• IoT

Complexity Drives Enterprises to Expect More Than Network
Uptime
• Security risk reduction
• Service quality
• Improved network visibility
• End-user experience
• Application performance
Top Business Expectations of
Network Operations
Slide 8 © 2020 Enterprise Management Associates, Inc.Slide 8 © 2020 Enterprise Management Associates, Inc.

Network Performance Management is Fragmented
• Packets
• Flows
• Network device
metrics (LAN/WAN)
• Application
performance metrics
• Syslogs
• Network services
(DHCP, DNS,
Radius)
• Synthetic traffic
Performance
data is
diverse
Typical enterprise has
3-6 NPM tools
• “I have never encountered a
client that had a process for
correlation across tools.” – IT
operations tool consultant
• “[Tool correlation] is difficult...
We rely on the experience of
the operational engineer.” –
Tools engineer, large
government agency

Network Operations Teams are Inefficient
39%
61%
DETECTING IT
SERVICE TROUBLE
End-user
complaints
Proactively
detected by
NOC
Network team spends
75% of its time fixing
problems
Problem identification
consumes a network
manager’s day
• False positives
• Visibility gaps
• Finger-pointing

The AIOps Opportunity

What is AIOps?
Artificial
Intelligence
for IT
Operations
Foundations
• Big data
• Machine learning
• Other advanced
heuristics
Capabilities
• Baseline environment
• Detect anomalies
• Automate root cause
analysis
• Predict events

The AIOps Gold Rush
Slide 13 © 2020 Enterprise Management Associates, Inc.Slide 13 © 2020 Enterprise Management Associates, Inc.

A Turnaround Plan for NetOps
OPTIMIZE NETWORK
PERFORMANCE
MANAGEMENT
AUTOMATE NETWORK
OPERATIONS
AIOPS ENABLES BOTH

AIOps and Network Performance Management

AIOps-Driven NPM has Arrived
• #3 ranked technical feature of NPM tools
• 92% of enterprises are interested
• Already critical to 28% of NetOps teams
• Especially important to larger
enterprises
Enterprises identify AIOps as a
critical NPM capability

AIOps Mitigates NPM Tool Fragmentation
• AIOps can help correlate insights across tools
• The preferred approach to tool correlation for successful NetOps teams
• Less successful approaches
 Tool-to-tool integration
 Service management integration
 Ad hoc, manual correlation

AIOps-Driven NPM: A Foundation for Automation
• Top use cases for AIOps-enriched NPM
1. Automated network traffic analysis
2. Automated root cause analysis
3. Automated capacity management
• Closed-loop automation – low-priority use case, but…
 Top choice of most successful enterprises

Where Can You Find AIOps Solutions?
• NPM vendors developing
AIOps features
• Infrastructure vendors
are embedding AIOps
• Analytics vendors are
pivoting to AIOps
• Pure, network-focused
AIOps vendor Nyansa:
now part of VMware
Red-hot trend leads
to lots of options

AIOps Drives Self-Healing Networks

Self-Healing Networks: Not a New Concept
• “Autonomic networks”
• “Self-defending networks”
• “Closed-loop network
automation”
Vendors have marketed
to self-healing for years
• “I think that kind of talk is
science fiction, so it’s not even
responsible to discuss it.” –
Network automation engineer,
large media company
Some enterprises are
skeptical

Automate Networks with AIOps for Self-Healing Networks
AIOps and advanced
analytics
• Part of 85% of network
automation initiatives
• Essential to 34%
• Especially to successful
automation projects
The top use cases for
AIOps-driven network
automation
• Self-healing networks
• Automated changes driven
by analytically derived
insights

Most Enterprises are Open to Self-Healing Networks
81% of enterprise network automation initiatives are targeting
self-healing networks
Only 38% want to
implement broadly
43% want to
confine self-healing
automation to low-
risk tasks
Enterprises that
fully trust their
automation
solutions are more
likely to implement

AIOps-Driven Automation Pitfalls to Avoid
Bad Data
Top data-related automation
challenges:
• 24% data quality
• 15% data consistency
“[AIOps-driven] automation is only as
good as the data you receive.” –
Network engineer, large healthcare
enterprise
Lack of Scalability
Some AIOps solutions are resource-
intensive
•Big hardware footprint
Some scale via the cloud
•“Our vendor has a public cloud
analysis engine, and we’re very
sensitive to data exposure.” –
Director of infrastructure, large
financial company
Administrative Overhead
73% of AIOps adopters: solutions
require upkeep by data scientists
•43% are building in-house teams
”I had to become a data scientist [to
support AIOps].” – IT operations
consultant

Final Thoughts
Complexity and digital transformation require NetOps
modernization
AIOps is overhyped, but a real opportunity
AIOps-driven network
performance management
Streamlines operations
Enables advanced automation
Self-healing networks is the next step for mature enterprises

Confidential │ ©2019 VMware, Inc. 27
Insights from real customer networks, by vertical*
Enterprise Work Habits Changed Significantly in March due to Covid-19
*Source: https://blogs.vmware.com/velocloud/2020/03/23/the-effects-of-the-covid-19-pandemic-on-business-networks-with-real-data/
GENERAL ENTERPRISE:
Usage fell off a cliff after mid-
march
HEALTHCARE:
Minimal change in usage
(obviously!)
NON-ESSENTIAL RETAIL (e.g.
clothing stores):
Usage fell off a cliff after mid-march
RETAIL – DISTRIBUTION /
WAREHOUSE
Minimal change in usage!

Business Continuity Approaches During the COVID-19 Event
Massive Movement to Work From Home Embrace SaaS/UCaaS for Resiliency & DR
Meet New Compute Requirements using
IaaS
Enterprise Data Center
SD-WAN
Overlay
Home Office
Branch
MPLS
Branch Office
Internet

Quality, Reliability, and Security for Business Apps
Internet
Reliable VOIP, UC, Collaboration, and SaaS access Improved user experience with an optimized last mile Automated and Simplified operations
SD-WAN Overlay
VMware SD-WAN
Orchestrator
Internet
Enterprise Data Center
UCaaS / SaaS / IaaS via
VMware SD-WAN Gateway
Non-Business Internet Traffic
VMware
SD-WAN
Edge
VMware
SD-WAN
Gateway
Home, Branch, or Mobile Site
VMware
SD-WAN
Edge
LTE
VMware
SD-WAN
Edge

Integration Extends SD-WAN Visibility into the LAN / Branch
Analytics, Visibility, Troubleshooting and Self-Healing
VMware Appliance
User Interface
SD-WAN Edge
VMware Appliance(s)
SD-WAN Orchestrator
Cloud
SD-WAN Orchestrator
User Interface
Analytics
Edge(s)
Full SD-WAN Deployment
Pre-Integration Voyance Post-Integration into VMware SD-WAN
Analytics Use Case
VMware Appliance(s)
SD-WAN Orchestrator
Cloud
SD-WAN Orchestrator
User Interface
Analytics
Edge(s)

Self Healing Network with VMware SD-WAN and Nyansa
User SD-WAN Hub ApplicationSD-WAN Edge NSX/Avi
1ms 10ms 100ms 1ms
Detecting Fault: Application Response Time Abnormal from Baseline (roadmap)
Latency increased for
all apps?
Is there queueing in the
network?
Can this traffic be promoted to
a different queue?
Promote traffic to
high priority
No Yes Yes
Self-healing: Assign Resolutions without the need to understand the underlying root cause (roadmap)
Continuous Link Monitoring Dynamic Per Packet Steering On Demand Remediation
• Drives automation and optimization • Sub-second steering without session drops
• Aggregated bandwidth for single flows
• Protect against concurrent degradation
• Enables single link performance
Application Optimization with DMPO (available today)
SD-WANandNyansaSD-WAN

Q&A
Slide 33
www.velocloud.com
@VeloCloud
www.linkedin.com/company/velocloud/

AIOps-Driven Network Performance Management: The First Step Toward Self-Healing Networks

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