the internet of things and enterprise networks: planning, engineering, and operational strategies
TRANSCRIPT
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
The Internet of Things
& Enterprise NetworksPlanning, Engineering, and Operational Strategies
Shamus McGillicuddy
Senior Analyst
EMA
@ShamusEMA
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Today’s Speakers
Slide 2 © 2017 Enterprise Management Associates, Inc.
Shamus McGillicuddy
Senior Analyst
Shamus has more than 10 years of experience in the
IT industry, primarily as a journalist covering the
network infrastructure market. At Enterprise
Management Associates (EMA), he is the senior
analyst for the network management practice.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Logistics for Today’s Webinar
Slide 3 © 2017 Enterprise Management Associates, Inc.
An archived version of the event recording will be
available at www.enterprisemanagement.com
• Log questions in the chat panel located on the lower
left-hand corner of your screen
• Questions will be addressed during the Q&A session
of the event
QUESTIONS
EVENT RECORDING
A PDF of the speaker slides will be distributed
to all attendees
PDF SLIDES
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Sponsors
Slide 4 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
The Internet of Things
& Enterprise NetworksPlanning, Engineering, and Operational Strategies
Shamus McGillicuddy
Senior Analyst
EMA
@ShamusEMA
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Agenda
• IoT Research Goal and Methodology
• Snapshot of IoT Projects
• IoT Networking Strategies
• IoT Networking Challenges
• Meet the IoT Challenge: Best Practices for the Network Team
• Conclusion
Slide 6 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IoT Research Goal
• Connectivity strategies
• Service assurance strategies
• Networking challenges
• Best practices
Understand the network infrastructure team’s role in enterprise IoT initiatives
Slide 8 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IoT Research Methodology
EMA surveyed 100 North American enterprise IT professionals.
Slide 9 © 2017 Enterprise Management Associates, Inc.
• Responsible for designing, building, and managing networks
• Directly involved in at least one IoT initiative
• 89% were involved in multiple IoT projects
All respondents were…
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IoT Research Methodology
Demographics
• Role
• 42% IT executive suite
• 58% IT staff
• Company size
• 54% midmarket (1,000–9,999 employees)
• 46% large enterprises (10,000+ employees)
• Vertical
• 20 vertical industries represented
• banking/finance/insurance (15%)
• application/cloud/managed service provider (10%)
• education (9%)
• manufacturing (9%)
Slide 10 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Most Popular IoT Use Cases
49%
Productivity & efficiency in operations
45%
Improved customer self-service based
on device usage
45%
Predictive maintenance
pattern development
42%
Productivity & efficiency in supply
chain
40%
Automated service execution based on
event triggers
Slide 12 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Top Connected Devices in IoT Projects
44%Infrastructure devices
•HVAC controls
•lighting
41%Personal goods
•smartphones
•wearables
38%Commercial devices
•barcode scanners
•point of sale
34%Manufacturing devices
34%Banking and financial services devices
Slide 13 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Enterprises Leverage Existing Networks
and Build New IoT Networks
• General approach to delivering IoT connectivity
• 47% use existing LAN infrastructure
• 46% use new LAN infrastructure for IoT
• 47% use existing WAN infrastructure
• 36% use new IoT-specialized WAN services (LoRaWAN networks, etc.)
• 32% acquire IoT connectivity packaged by device manufacturer or IoT
solution provider
• Primary approach to delivering IoT connectivity
1. Existing LAN (26%)
2. Existing WAN (23%)
Slide 15 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Network Technology Used for IoT Connectivity
Slide 16 © 2017 Enterprise Management Associates, Inc.
59%
52%
45%
44%
34%
30%
24%
23%
23%
22%
22%
18%
11%
7%
Wireless LAN (Wi-Fi)
LAN Ethernet
Bluetooth
Wireline WAN (MPLS, broadband, etc.)
Public cellular (3G/4G/LTE)
IoT cellular (LTE-M, NB LTE-M, NB-IoT)
Carrier or municipal Wi-Fi
Satellite
Radio frequency (RF) mesh
Low-power Wi-Fi
Microwave
LoRaWAN
SigFox
Zigbee
Sample Size = 100, Valid Cases = 100, Total Mentions = 414
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Network Monitoring Tools Most Valuable
for IoT Performance Monitoring
Slide 17 © 2017 Enterprise Management Associates, Inc.
32%
23%
16%
16%
15%
15%
15%
14%
13%
10%
3%
0%
Network flow monitoring (e.g., NetFlow, IPFIX)
Public/private cloud monitoring
Reports and metrics supplied by commercial IoT solution/managedservice providers
Reports and metrics supplied by network services providers
Log analysis
Device metric monitoring (e.g., SNMP, WMI, device APIs)
Synthetic transaction analysis from remote sites
Interpreted packet flow monitoring (wire data, packet metadata analysis)
Observed endpoint transaction monitoring (e.g., agents deployed on IoTdevices)
Raw packet analysis
Do not know
Other
Sample Size = 100, Valid Cases = 100, Total Mentions = 172
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Enterprises’ 6 Biggest IoT Network Planning
and Engineering Challenges
Managing network addresses (27%)
Projecting volume of data produced by IoT devices (26%)
Predicting traffic patterns (25%)
Modeling security threats to IoT devices (25%)
Managing software lifecycle of IoT devices (24%)
Modeling security threats to IoT data in motion (24%)
Slide 19 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IoT Device Constraints and IoT Project Scale
Threaten Security
• Top networking challenges associated with IoT device constraints
1. Channel-based security techniques unsupported (36%)
2. Resource discovery ineffective (30%)
• Network resources most challenged by scale of IoT ecosystems
1. Network security infrastructure capacity (47%)
2. IP address management (30%)
3. Network bandwidth (30%)
Slide 20 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Top Challenges to Effective IoT Network Monitoring
Slide 21 © 2017 Enterprise Management Associates, Inc.
26%
23%
22%
21%
21%
19%
18%
16%
3%
Scalability - too many devices connected
Rogue device detection
Monitoring granularity - bursty traffic requires shorter monitoringintervals
High rate of change
Configuration of monitoring profiles
Unsupported IoT protocols
Device discovery
Visualization/mapping of IoT service delivery dependencies
Do not know
Sample Size = 100, Valid Cases = 100, Total Mentions = 169
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Meet the IoT Challenge:
Best Practices for the Network Team
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTINGSlide 23 © 2017 Enterprise Management Associates, Inc.
46%
35%
19%
0%
0%
0%
0%
13%
44%
35%
6%
2%
0%
0%
0%
9%
73%
9%
0%
9%
0%
Extremely successful
Successful
Somewhat successful
Neutral - neither successful nor unsuccessful
Somewhat unsuccessful
Unsuccessful
Extremely unsuccessful
Enterprises rated their network team’s success with IoT initiatives
Network team plays leading role in all initiatives.
Network team plays leading role in some initiatives and supporting role in others
Network team plays supporting role in all initiatives.
Sample Size = 100
1. Seize a Leadership Role in IoT
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
2. Partner for IoT Success
• Top internal IoT partners for network teams
1. IT Service Management (35%)
2. Security (29%)
3. IT Architecture (28%)
• External partners critical to success of IoT initiatives
1. Network operations software vendors (43%)
2. Network hardware vendors (35%)
• Least important IoT partners
System integrators (21%)
Business/enterprise consultants (3%)
Slide 24 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
3. Make the Right Architectural Choices
• The most successful network teams were
• 2.5X more likely to use distributed analytics at the IoT edge
Top use cases
Improved system reliability (29%)
Expanded real-time analysis of data (21%)
Reduced security risk (19%)
• 2.5X more likely to use IoT gateways
Top use cases
Edge computing/analytics (57%)
Encryption/decryption (50%)
IoT device control & management (47%)
Slide 25 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
4. Make the Right Management & Monitoring Choices
• Extend existing network monitoring tools to IoT devices
• 77% of most successful network teams
• Real-time analytics in monitoring tools is essential
• 80% of successful teams say IoT requires faster analysis of network data
2X more likely to apply this to IoT infrastructure automation
• Watch out for network visibility gaps
• 52% said IoT has created or worsened blind spots in network monitoring and
service assurance
Consequences of these network visibility gaps:
Customer churn (44%)
Security breach (40%)
Slide 26 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
5. Integrate IoT Solution Providers Into Connectivity
and Service Assurance Strategies
• Don’t source all the connectivity yourself
• Successful teams were 3X more likely to acquire connectivity via IoT
solution provider
Leverage packaged connectivity for non-strategic assets (smart meters)
Source your own connectivity for strategic assets (transformers, power
plants)
• Leverage reports/metrics from IoT solution providers for
service assurance
• Successful teams were 5X more likely to do this
• Can your network monitoring and service assurance vendors consume
these metrics?
Slide 27 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Conclusion
Slide 28 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Wrapping Up
• Network teams leverage existing and new infrastructure for IoT
• But existing infrastructure is the primary focus for these groups
• Network teams face multiple challenges throughout project lifecycle
• Security is a top issue at every stage (modeling threats, scaling security
infrastructure, securing devices and data)
• The network team must seize a leadership role …
• Partner with network operations software vendors for success
• … and make the right architectural and management decisions
• Use IoT gateways and distributed IoT analytics
• Watch out for visibility gaps
• Leverage real-time analytics of network data
Slide 29 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Question and Answers
Slide 30 © 2017 Enterprise Management Associates, Inc.
Report available at:
http://bit.ly/2pAcR13