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April 2018
Cisco Automation
Sachin Sharma
Automation Sales
“CSPs will ultimately face one stark
reality: Automate or die”Telecom Automation: Heavy Reading Perspectives
Major Barriers to Transformation
Service
Definition
Service
Processing
Config
Validation
Service
Provisioning
Network
Config
Service
Assurance
Trouble-
shooting
Monitoring /
Resource
Adjustment
Manual Network Management Processes
From Complexity to Simplicity and Automation
Automated
Self-Service
On Demand
Service
Processing
Config
Validation
Service
Provisioning
Network
Config
Service
Assurance
Trouble-
shooting
Manual Network Management Processes
Service
Definition
Monitoring /
Resource
Adjustment
Service
Orchestration
Workflow,
Policy
and Intent
Infrastructure
Programmability
& Security
Automation Delivers Tangible Outcomes
Revenue uplift from
faster time to value
30%
Cost reductions from
operational efficiencies
70%
Better customer
satisfaction from
faster remediations
40%
Up to…
Specific improvements vary and depend on many factors
Source: * Based on Cisco Operations Automation Benchmarking Study of 30+ Service Providers (August 2017)
Trends Driving the Need to Automate
Source: Cisco VNI Global IP Traffic Forecast, 2016–2021
** 2017 Network Virtualization Report, SDXCentral.com
Traffic growth
278 Exabytes per month
3x increase in IP traffic
37% of respondents deployed
network virtualization (NV)
technologies**
27+ Billion connections
10% CAGR
Explosion of Devices
and Users
Device growth:
9.6% CAGR Global, 11.4% NA
User growth:
from 44% of population to 58% by 2021
Growth in connections and
operations at the edge
Complexity from physical,
virtual and multi-vendor
environment
Zone of
Risk
Zone of
Complacence
Zone of
Concern
Which Results in an Unstainable Economic Model
0
20
40
60
80
100
120
$B
$200B
$400B
$600B
$800B
$1000B
$1200B
2011 2012 2013 2014 2015 2016 2017
Total Revenue
Total OpEx
Source: IHS SP CapEx, OpEx, Revenue Q1 2017, extract of top 12 global SPs
Total
Revenue,
OpEx
Exabytes
per Month
Creating Business Impacting Outages
Nationwide Comcast Outage: Nov. 6, 2017
A configuration error led to a nationwide service
disruption—90 minutes to restore.*
Amazon Web Services Outage: Feb. 28, 2017
An incorrect command input removed a large set
of servers.*
Operations staff will not be able to keep up with adding
approximately 10% more devices every year
Source: * CNN, * Amazon.com Business Insider
• S&P and FSI companies lost $310M
Top websites’ load times increased by triple digits
• Disney Store took 1, 165% as long
• Target: 991% as long
• Nike: 642% as long
• Nordstrom: 592% as long
• The massive outage hurt 54 of the top
100 internet retailers
After Network AutomationBefore Network Automation
Enabling networks to
self-heal and self-optimize
As Is and Future State
Macro Issues
• Single vendor islands of control
• Multiple separate operations
• Scale Challenged
Limiting Capabilities
• Disjoint data sources and formats
• Limited complete network knowledge
• Event Correlation Challenged
• Custom scripts for large changes
Macro Solutions
• Multi-vendor supported
• Closed-loop operations
• Mass scale
Break-away Capabilities
• Advanced data consolidation
• Machine learning and analytics
• Clear event correlation
• Change automation
How We’re Defining SP Network Automation
We take isolated,
repetitive human actions,
previously in different
functional groups
That span the breadth
of the full lifecycle of
operational disciplines
And embed this
intelligence into
software, using machine
learning to improve
human-to-machine and
machine-to-machine
control
Automation:
Not to Replace,
but Enhance Value
Network
Ops
Network
Automation
Network
Autopilot
Built from Global Success
With more than 100 customers world wide
Service Abstraction Success Story
Level 3 Scales Adaptive Service Delivery
Radically
Improved
Customer
Experience
Over 100,000
Network
Devices
Managed
Bandwidth
dynamically
scaled up to
300% on-
demand
Reduced
Labor intensity
and Human
Error
• Cisco Network Services Orchestrator
• Cisco Elastic Services Controller
• Leverage network automation and SDN to
deliver better solutions to customers more
quickly with on-demand network services
Key
Challenges
Solution
Results
Innovation Success Story
SoftBank Accelerates Service Delivery
Times By 90%
Customer
self-service
portal with
real-time
configuration
changes
Solution
deployments in
minutes instead
of weeks and
at a much
lower cost
Improved
time-to-delivery
by 70% with an
86% reduction
in man hours
• Cisco Network Services Orchestrator
• Cisco Virtual Topology System
• Automate services end-to-end
• Respond faster to new customer needs and opportunities
• Drive down CapEx and OpEx costs of onboarding and
provisioning new services
Key
Challenges
Solution
Results
Cisco Network Services Orchestrator a Key
Technology Enabler for Telstra’s Network of the
Future
Successfully
deployed for
over 18
months
Operating on
Ethernet and
IP Networks
Multi-Vendor
Environment
Improved
service
deployment
from hours to
minutes
4G & 5G • Video • IoT • FTTx • Business Services
SDN-enabled Multi-vendor physical and virtual (NFV)
Orchestration • Automation • Programmability
Security
Policy
Automation
Open APIs
https://newsroom.cisco.com/press-release-content?type=webcontent&articleId=1826174
The first closed-loop, mass scale automation
solution that embraces multi-vendor networks
Introducing the Cisco Crosswork Solution
Mass Awareness
Collect massive
amounts of data in a
standardized format
Run analytics, apply
machine learning
Augmented Intelligence Proactive Control
Take action with an
organized approach
Cisco SP Network Automation
For individual use or amplify the benefits with the a closed-loop solution
Change Automation
Network Insights SaaS
Situation Manager
Health Insights
Data Platform
Cisco NSO
Cisco WAE
Current
Products
New
Additions
Foundational, the basis of multi-vendor and physical/virtual network configs
Existing solution for multi-layer network efficiency improvements
Application that creates extensible device workflows to reduce human error
Uses smart monitors to capture device health and change network behavior
Cloud based analytics platform focused on network insights
Event correlation tool that leverages social troubleshooting to reduce MTTR
Unified data collection tool that brings data lake capabilities to automation
Enabling multi-vendor, physical and virtual, and highly scalable network automation
Addressing the Most Common Business Objectives
Intent Based
Networking
Data
Centralization
and
Infrastructure
Visualization
Data
Centralization
with Improved
QoE
Accelerate Time
to Identify
Accelerate Time
to Remediation
Optimization and
Remediation
Intent Based Networking
Network migrations are error prone and take too long
Network Automation
1 2 3 4
Change
Automation
Health Insights
“Automate
the Repetitive”
“Don’t Log
into Systems”
“Visualize your
real-time data and
create closed loop”
Goal
“Optimize Your
Infrastructure”
Self-Healing
Deploy the Change
Automation app to create
device workflows that
drive intent consistently
Intent driven
configuration for
the network
Event Driven routing—Use
Zero-touch telemetry and
other KPI’s to monitor
device health and change
network behavior
Use WAE to improve
network efficiency
and gain bandwidth
awareness
WAE 7.1
(+XTC)
(shipping) (Q1CY18)
NSO
(shipping)
WAE 7.1
(+XTC)
(shipping)
“Optimize Your
Infrastructure”
Use WAE to improve
network efficiency
and gain bandwidth
awareness
NSO
“Don’t Log
into Systems”
Intent driven
configuration for
the network
(shipping)
Data Platform
(Q2CY18)
“Start with
Data Collection”
Unify collection from the
network and eliminate
data silos, build a data
lake
Data Centralization and Infrastructure Visualization
Data overload/no ability to correlate data to extract useful information
Network
Automation
Change
Automation
“Automate
the Repetitive”
Deploy the Change
Automation app to create
device workflows that
reduce human error
(Q1CY18)
Goal
Self-Healing1 2 3 4
WAE 7.1
(+XTC)
(shipping)
“Optimize Your
Infrastructure”
Use WAE to improve
network efficiency
and gain bandwidth
awareness
NSO
“Don’t Log
into Systems”
Intent driven
configuration for
the network
(shipping)
Data Platform
(Q2CY18)
“Start with
Data Collection”
Unify collection from the
network and eliminate
data silos, build a data
lake
Data Centralization with Improved QoE
Poor customer quality of experience caused by
unexpected behavior, variation in service
Network Automation
1 2 3 4
Change
Automation
Health Insights
“Automate
the Repetitive”
“Visualize your
real-time data and
create closed loop”
Goal
Self-Healing
Deploy the Change
Automation app to create
device workflows that
reduce human error
Event Driven routing—Use
Zero-touch telemetry and
other KPI’s to monitor
device health and change
network behavior
(Q1CY18)
Accelerate Time to Identify
Takes too long to identify and solve problems
causing larger business impact from outages
Situation
Manager
1 2 3
(Q1CY18)
“Organize
the Chaos”
“Don’t Log
into Systems”
“Collect Everything”
NSO
Self-Healing
Correlate events in the
network to reduce the
“MTTK” Mean-Time-to-
Know and “MTTR” Mean-
time-to-repair with social
troubleshooting
Intent driven
configuration for
the network
Unify collection from the
network and eliminate
data silos
(shipping)
Data Platform
(Q2CY18)
Network Automation
Change
Automation
Health Insights
“Automate
the Repetitive”
“Visualize your
real-time data and
create closed loop”
Deploy the Change
Automation app to create
device workflows that
reduce human error
Event Driven routing—Use
Zero-touch telemetry and
other KPI’s to monitor
device health and change
network behavior
(Q1CY18)
4
Goal
Network Automation
Accelerate Time to Remediation
Time to remediate a problem takes too long
Situation
Manager
1 2 3 4
(Q1CY18)
Change
Automation
Health Insights
“Automate
the Repetitive”
“Organize
the Chaos”
“Visualize your
real-time data and
create closed loop”
“Don’t Log
into Systems”
“Start with
Data Collection”
NSO
Deploy the Change
Automation app to create
device workflows that
reduce human error
Correlate events in the
network to reduce the
“MTTK” Mean-Time-to-
Know and “MTTR” Mean-
time-to-repair with social
troubleshooting
Event Driven routing—Use
Zero-touch telemetry and
other KPI’s to monitor
device health and change
network behavior
Intent driven
configuration for
the network
Unify collection from the
network and eliminate
data silos
(shipping) (Q1CY18)
Data Platform
(Q2CY18)
Self-Healing
Goal
WAE 7.1
(+XTC)
(shipping)
“Optimize Your
Infrastructure”
Use WAE to improve
network efficiency
and gain bandwidth
awareness
“Don’t Log
into Systems”
Intent driven
configuration for
the network
Optimization and Remediation
Lack of ongoing network optimization; network undersized
for service needs, impacting customers
NSO
(shipping)
Network Automation
1 2 3 4
Change
Automation
Health Insights
“Automate
the Repetitive”
“Visualize your
real-time data and
create closed loop”
Goal
Self-Healing
Deploy the Change
Automation app to create
device workflows that
reduce human error
Event Driven routing—Use
Zero-touch telemetry and
other KPI’s to monitor
device health and change
network behavior
(Q1CY18)
Improved Customer Outcomes with Automation
Faster Customer
Service
On-boarding
78%
Faster Execution of
Change Requests
81%
Faster Execution of
Maintenance
Procedures
84%
Improvement in
Mean Time to
Repair
70%
Time to Value
Configuration & Change Automation
Time to Remediation
Automated Fault Remediation
Source: Cisco Automation Benchmark of 5 SP Customers
Specific improvements vary and depend on many factors
Why Cisco
Networking market leadership
Global multivendor network deployments - NSO
Commitment to open standards
The most comprehensive network automation portfolio
1
2
3
4
Which Journey is Most Meaningful to You?
Intent Based
Networking
Data
Centralization
and
Infrastructure
Visualization
Data
Centralization
with Improved
QoE
Accelerate
Time to Identify
Accelerate
Time to
Remediation
Optimization
and
Remediation
Schedule a demo and engage our
professional services team
www.cisco.com/go/crosswork
More Information
Cisco Connect 2018 Thailand - Cisco automation

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Cisco Connect 2018 Thailand - Cisco automation

  • 1. April 2018 Cisco Automation Sachin Sharma Automation Sales
  • 2. “CSPs will ultimately face one stark reality: Automate or die”Telecom Automation: Heavy Reading Perspectives
  • 3. Major Barriers to Transformation Service Definition Service Processing Config Validation Service Provisioning Network Config Service Assurance Trouble- shooting Monitoring / Resource Adjustment Manual Network Management Processes
  • 4. From Complexity to Simplicity and Automation Automated Self-Service On Demand Service Processing Config Validation Service Provisioning Network Config Service Assurance Trouble- shooting Manual Network Management Processes Service Definition Monitoring / Resource Adjustment Service Orchestration Workflow, Policy and Intent Infrastructure Programmability & Security
  • 5. Automation Delivers Tangible Outcomes Revenue uplift from faster time to value 30% Cost reductions from operational efficiencies 70% Better customer satisfaction from faster remediations 40% Up to… Specific improvements vary and depend on many factors Source: * Based on Cisco Operations Automation Benchmarking Study of 30+ Service Providers (August 2017)
  • 6. Trends Driving the Need to Automate Source: Cisco VNI Global IP Traffic Forecast, 2016–2021 ** 2017 Network Virtualization Report, SDXCentral.com Traffic growth 278 Exabytes per month 3x increase in IP traffic 37% of respondents deployed network virtualization (NV) technologies** 27+ Billion connections 10% CAGR Explosion of Devices and Users Device growth: 9.6% CAGR Global, 11.4% NA User growth: from 44% of population to 58% by 2021 Growth in connections and operations at the edge Complexity from physical, virtual and multi-vendor environment
  • 7. Zone of Risk Zone of Complacence Zone of Concern Which Results in an Unstainable Economic Model 0 20 40 60 80 100 120 $B $200B $400B $600B $800B $1000B $1200B 2011 2012 2013 2014 2015 2016 2017 Total Revenue Total OpEx Source: IHS SP CapEx, OpEx, Revenue Q1 2017, extract of top 12 global SPs Total Revenue, OpEx Exabytes per Month
  • 8. Creating Business Impacting Outages Nationwide Comcast Outage: Nov. 6, 2017 A configuration error led to a nationwide service disruption—90 minutes to restore.* Amazon Web Services Outage: Feb. 28, 2017 An incorrect command input removed a large set of servers.* Operations staff will not be able to keep up with adding approximately 10% more devices every year Source: * CNN, * Amazon.com Business Insider • S&P and FSI companies lost $310M Top websites’ load times increased by triple digits • Disney Store took 1, 165% as long • Target: 991% as long • Nike: 642% as long • Nordstrom: 592% as long • The massive outage hurt 54 of the top 100 internet retailers
  • 9. After Network AutomationBefore Network Automation Enabling networks to self-heal and self-optimize As Is and Future State Macro Issues • Single vendor islands of control • Multiple separate operations • Scale Challenged Limiting Capabilities • Disjoint data sources and formats • Limited complete network knowledge • Event Correlation Challenged • Custom scripts for large changes Macro Solutions • Multi-vendor supported • Closed-loop operations • Mass scale Break-away Capabilities • Advanced data consolidation • Machine learning and analytics • Clear event correlation • Change automation
  • 10. How We’re Defining SP Network Automation We take isolated, repetitive human actions, previously in different functional groups That span the breadth of the full lifecycle of operational disciplines And embed this intelligence into software, using machine learning to improve human-to-machine and machine-to-machine control
  • 11. Automation: Not to Replace, but Enhance Value Network Ops Network Automation Network Autopilot
  • 12. Built from Global Success With more than 100 customers world wide
  • 13. Service Abstraction Success Story Level 3 Scales Adaptive Service Delivery Radically Improved Customer Experience Over 100,000 Network Devices Managed Bandwidth dynamically scaled up to 300% on- demand Reduced Labor intensity and Human Error • Cisco Network Services Orchestrator • Cisco Elastic Services Controller • Leverage network automation and SDN to deliver better solutions to customers more quickly with on-demand network services Key Challenges Solution Results
  • 14. Innovation Success Story SoftBank Accelerates Service Delivery Times By 90% Customer self-service portal with real-time configuration changes Solution deployments in minutes instead of weeks and at a much lower cost Improved time-to-delivery by 70% with an 86% reduction in man hours • Cisco Network Services Orchestrator • Cisco Virtual Topology System • Automate services end-to-end • Respond faster to new customer needs and opportunities • Drive down CapEx and OpEx costs of onboarding and provisioning new services Key Challenges Solution Results
  • 15. Cisco Network Services Orchestrator a Key Technology Enabler for Telstra’s Network of the Future Successfully deployed for over 18 months Operating on Ethernet and IP Networks Multi-Vendor Environment Improved service deployment from hours to minutes 4G & 5G • Video • IoT • FTTx • Business Services SDN-enabled Multi-vendor physical and virtual (NFV) Orchestration • Automation • Programmability Security Policy Automation Open APIs https://newsroom.cisco.com/press-release-content?type=webcontent&articleId=1826174
  • 16. The first closed-loop, mass scale automation solution that embraces multi-vendor networks Introducing the Cisco Crosswork Solution Mass Awareness Collect massive amounts of data in a standardized format Run analytics, apply machine learning Augmented Intelligence Proactive Control Take action with an organized approach
  • 17. Cisco SP Network Automation For individual use or amplify the benefits with the a closed-loop solution Change Automation Network Insights SaaS Situation Manager Health Insights Data Platform Cisco NSO Cisco WAE Current Products New Additions Foundational, the basis of multi-vendor and physical/virtual network configs Existing solution for multi-layer network efficiency improvements Application that creates extensible device workflows to reduce human error Uses smart monitors to capture device health and change network behavior Cloud based analytics platform focused on network insights Event correlation tool that leverages social troubleshooting to reduce MTTR Unified data collection tool that brings data lake capabilities to automation Enabling multi-vendor, physical and virtual, and highly scalable network automation
  • 18. Addressing the Most Common Business Objectives Intent Based Networking Data Centralization and Infrastructure Visualization Data Centralization with Improved QoE Accelerate Time to Identify Accelerate Time to Remediation Optimization and Remediation
  • 19. Intent Based Networking Network migrations are error prone and take too long Network Automation 1 2 3 4 Change Automation Health Insights “Automate the Repetitive” “Don’t Log into Systems” “Visualize your real-time data and create closed loop” Goal “Optimize Your Infrastructure” Self-Healing Deploy the Change Automation app to create device workflows that drive intent consistently Intent driven configuration for the network Event Driven routing—Use Zero-touch telemetry and other KPI’s to monitor device health and change network behavior Use WAE to improve network efficiency and gain bandwidth awareness WAE 7.1 (+XTC) (shipping) (Q1CY18) NSO (shipping)
  • 20. WAE 7.1 (+XTC) (shipping) “Optimize Your Infrastructure” Use WAE to improve network efficiency and gain bandwidth awareness NSO “Don’t Log into Systems” Intent driven configuration for the network (shipping) Data Platform (Q2CY18) “Start with Data Collection” Unify collection from the network and eliminate data silos, build a data lake Data Centralization and Infrastructure Visualization Data overload/no ability to correlate data to extract useful information Network Automation Change Automation “Automate the Repetitive” Deploy the Change Automation app to create device workflows that reduce human error (Q1CY18) Goal Self-Healing1 2 3 4
  • 21. WAE 7.1 (+XTC) (shipping) “Optimize Your Infrastructure” Use WAE to improve network efficiency and gain bandwidth awareness NSO “Don’t Log into Systems” Intent driven configuration for the network (shipping) Data Platform (Q2CY18) “Start with Data Collection” Unify collection from the network and eliminate data silos, build a data lake Data Centralization with Improved QoE Poor customer quality of experience caused by unexpected behavior, variation in service Network Automation 1 2 3 4 Change Automation Health Insights “Automate the Repetitive” “Visualize your real-time data and create closed loop” Goal Self-Healing Deploy the Change Automation app to create device workflows that reduce human error Event Driven routing—Use Zero-touch telemetry and other KPI’s to monitor device health and change network behavior (Q1CY18)
  • 22. Accelerate Time to Identify Takes too long to identify and solve problems causing larger business impact from outages Situation Manager 1 2 3 (Q1CY18) “Organize the Chaos” “Don’t Log into Systems” “Collect Everything” NSO Self-Healing Correlate events in the network to reduce the “MTTK” Mean-Time-to- Know and “MTTR” Mean- time-to-repair with social troubleshooting Intent driven configuration for the network Unify collection from the network and eliminate data silos (shipping) Data Platform (Q2CY18) Network Automation Change Automation Health Insights “Automate the Repetitive” “Visualize your real-time data and create closed loop” Deploy the Change Automation app to create device workflows that reduce human error Event Driven routing—Use Zero-touch telemetry and other KPI’s to monitor device health and change network behavior (Q1CY18) 4 Goal
  • 23. Network Automation Accelerate Time to Remediation Time to remediate a problem takes too long Situation Manager 1 2 3 4 (Q1CY18) Change Automation Health Insights “Automate the Repetitive” “Organize the Chaos” “Visualize your real-time data and create closed loop” “Don’t Log into Systems” “Start with Data Collection” NSO Deploy the Change Automation app to create device workflows that reduce human error Correlate events in the network to reduce the “MTTK” Mean-Time-to- Know and “MTTR” Mean- time-to-repair with social troubleshooting Event Driven routing—Use Zero-touch telemetry and other KPI’s to monitor device health and change network behavior Intent driven configuration for the network Unify collection from the network and eliminate data silos (shipping) (Q1CY18) Data Platform (Q2CY18) Self-Healing Goal
  • 24. WAE 7.1 (+XTC) (shipping) “Optimize Your Infrastructure” Use WAE to improve network efficiency and gain bandwidth awareness “Don’t Log into Systems” Intent driven configuration for the network Optimization and Remediation Lack of ongoing network optimization; network undersized for service needs, impacting customers NSO (shipping) Network Automation 1 2 3 4 Change Automation Health Insights “Automate the Repetitive” “Visualize your real-time data and create closed loop” Goal Self-Healing Deploy the Change Automation app to create device workflows that reduce human error Event Driven routing—Use Zero-touch telemetry and other KPI’s to monitor device health and change network behavior (Q1CY18)
  • 25. Improved Customer Outcomes with Automation Faster Customer Service On-boarding 78% Faster Execution of Change Requests 81% Faster Execution of Maintenance Procedures 84% Improvement in Mean Time to Repair 70% Time to Value Configuration & Change Automation Time to Remediation Automated Fault Remediation Source: Cisco Automation Benchmark of 5 SP Customers Specific improvements vary and depend on many factors
  • 26. Why Cisco Networking market leadership Global multivendor network deployments - NSO Commitment to open standards The most comprehensive network automation portfolio 1 2 3 4
  • 27. Which Journey is Most Meaningful to You? Intent Based Networking Data Centralization and Infrastructure Visualization Data Centralization with Improved QoE Accelerate Time to Identify Accelerate Time to Remediation Optimization and Remediation Schedule a demo and engage our professional services team