Orchestration & Automation: Achieving Network Automation with YANG Modeling Technologies

Orchestration & Automation: Achieving Network Automation with YANG Modeling Technologies John Malzahn Host, Senior Manager, Cloud and Virtualization Solutions Marketing, Cisco Systems Elisabeth Rainge Vice President, Communications Service Provider Operations Research, IDC Carl Moberg Technical Director, Cisco Systems March 9, 2017

Today s Presenters John Malzahn Senior Manager, Cloud and Virtualization Solutions Marketing, Cisco Systems Elisabeth Rainge Vice President, Communications Service Provider Operations Research, IDC Carl Moberg Technology Director, Cloud and Virtualization Group, Cisco Systems

Agenda 1 The Service Provider Agility Challenge 2 Achieving Automation with YANG Modeling Technologies 3 Cisco Solution for Automation and Orchestration

Achieving Automation with YANG Modeling Technologies

Orchestration & Automation: Network Automation with YANG Modeling Technologies Elisabeth Rainge March 9, 2017

Agenda The Service Provider Agility Challenge What Agility Means: to Service Providers to Service Provider Customers Reality Check Achieving Automation with YANG Modeling What Automation Means What Next? IDC Visit us at IDC.com and follow us on Twitter: @IDC 6

Digital Experience in Telecom The Shift From Traditional: Network at the Center of the Business To Digital: Customer at the Center of the Business Network Omni-channel Service Network IDC Visit us at IDC.com and follow us on Twitter: @IDC 7

Digital: The CSP Context DX is underway with large organizations CSPs are essential enablers for DX projects in all industries Innovation accelerators: robotics, The dream team DX changes how industries work with CSPs CFO CDO Tech-savvy CEO CTO Strategic CIO LoBs IDC Visit us at IDC.com and follow us on Twitter: @IDC 8

What Does Agility Mean to: Service Providers? Service Provider Customers? Networks Operations IDC Visit us at IDC.com and follow us on Twitter: @IDC 9

Network Transformation Static Networks c. 2014 Highly Automated Networks c. 2020 Custom Complex Programmable Data-driven Costly Closed Automated Open 10

Network Transformation Static Networks c. 2014 Highly Automated Networks c. 2020 Custom Complex Programmable Data-driven Costly Closed Automated Open 30-40 %Network Utilization 60-80 %Network Utilization 11

CSP Infrastructure Operations CSPs & CSP Suppliers are evolving strategies for an IT Operations Revolution Standards (3GPP, etc) Traditional: Network equipment features Service definition What customer buys Emerging: Service definition Network orchestration What customer buys Target: Customer requirements Network orchestration What customer buys Source: IDC PlanScape: IT Operations Architecture for Virtualized Networks (IDC #256840, June 2015) IDC Visit us at IDC.com and follow us on Twitter: @IDC 12

Enterprises Will Ask CSPs for Greater Control and Visibility IT Digital Technology as tool of business operations Technology as tool of goods/ services Enterprise buyers of CSP services increasingly value communications technology as a key advantage for achieving customer experience goals Source: Enterprise Network Management: IT Priorities for Digital Transformation IDC #41541516, June 2016 IDC Visit us at IDC.com and follow us on Twitter: @IDC 13

Reality Check What are SPs doing about agility? What are SP customers doing about agility? IDC Visit us at IDC.com and follow us on Twitter: @IDC 14

Network Management Today Major refresh cycle linked to: Off-prem resources Coping with Internet plus private lines Inputs from analytics Video Mobilizing the business: DX IDC Visit us at IDC.com and follow us on Twitter: @IDC

Network Operations Outlook Network Data Flows Will Increase Network Virtualization Network Simplification NFV Appliances Model-based administration Network operating systems Network Automation Cognitive networks Connectivity at scale (IoT) 2010-2017 2017-2020+ 2020-2025+ IDC Visit us at IDC.com and follow us on Twitter: @IDC 16

Achieving Automation with YANG Modeling Study findings Insights IDC Visit us at IDC.com and follow us on Twitter: @IDC 18

IDC Key Findings YANG adoption and engagement is high Adoption of YANG-based modeling technologies is expanding in key and high-impact domains Business network services Netconf reflects the broader trends and requirements for operational systems IDC Visit us at IDC.com and follow us on Twitter: @IDC 19

Adoption Index Scoring Criteria Criteria Investigate=1 Design=2 Develop=3 Operationalize=4 Status Tech Evaluation/ Tests New Service/Network Design Service Developed/ Service Implemented Multiple Commercial Services/ Operationalize/ Scale out Breadth of Adoption Single Service 2-3 Services Multiple Service/ Multi-domain Multiple Services/ Multi domain & Strategic Program Maturity Early stage/focus group Dedicated Eng Team(s) Cross-Functional Organizational Teams/ Multi- Domain Corporate Sponsorship/Strategic IDC Visit us at IDC.com and follow us on Twitter: @IDC 20

Orchestration and Automation Service models using YANG reuses most of the building blocks and allows easier service creation n Service agility is the most important characteristic, network agility, to compete with Internet players Service product managers want to fully automate the parsing of the service in YANG models IDC Visit us at IDC.com and follow us on Twitter: @IDC 21

Simplification is Fundamental The only combination that allows a model-based approach for fulfillment and service assurance NETCONF/YANG is a fundamental part of the company's transformation to automate services Only started using YANG models in last 8 months and now 6 services are available some are fully automated For our RFPs it is a mandatory requirement for netconf/yang support on all Layer 1-3 networking products Goal of netconf/yang is to have a "simpler interface" to talk to devices 22

Interview Highlights: Business Network Services Use Cases "absolutely multi-vendor support for YANG we are building an abstraction layer so that we can use YANG models from any vendor It is a mandatory requirement for our 4 router vendors to support YANG going forward IDC Visit us at IDC.com and follow us on Twitter: @IDC 23

Adoption Index Scoring YANG network modeling adoption Index: Lead Adopters Phase 1 Phase 2 Phase 3 Phase 4 Phase 5 Initiate Develop Deliver Manage Optimize SCORE 1 2 3 4 5 Status Learning, gathering know ledge Yang modeling Implemented & Functional Breadth of Adoption 1 or 2 domains, dozens of devices controlled Yang modeling Multiple domains, thousands of elements controlled Program Maturity Early stage, Undeveloped Yang modeling Multiple established implementations Business Case Maturity Experimental Yang modeling Customer impact Innovation Impact Neutral to existing processes Yang modeling Exceeds goals, requires new goals IDC Visit us at IDC.com and follow us on Twitter: @IDC 24

Delivering on Targets Network modeling and programmability enables business leaders to achieve Business Targets for People, Process, & Technology YANG, NETCONF and other modeling tools (TOSCA, OpenConfig, WebConf) are helping 100% of CSPs surveyed to achieve Operational Targets IDC Visit us at IDC.com and follow us on Twitter: @IDC 25

Looking Forward Expanding challenges Role for cognitive technologies IDC Visit us at IDC.com and follow us on Twitter: @IDC 26

Reality Check: Hybrid Networks New classes of network functions will co-exist with long-term investments Standards efforts aim to ease burdens (ONAP, OSM, MEF, etc) IDC Visit us at IDC.com and follow us on Twitter: @IDC 27

Digital Infrastructure Scalability and Reliability Fundamentals Digital offerings touch more customers, and more technology Video Data Connected devices Managed IT IoTv Digital Services Digital Infrastructure Digital Customers Consumers Enterprises Other CSPs Personal devices Data centers Machines On-site corporate Cloud partners Network partners Remote offices Customer sites Retail shops IDC Visit us at IDC.com and follow us on Twitter: @IDC

Role of Cognitive Technologies Cognitive and hyper-automation will increasingly impact networking Impact of network evolution on operations: Customers and CSP corporate plans demand agility SDN/NFV progress opens up new ways to run networks Impact of data innovations on operations: Open interfaces and data sources provide new types and volumes of data Big data/analytics innovations open up new ways to use data IDC Visit us at IDC.com and follow us on Twitter: @IDC 29

Essential Guidance Diverse, broad-based efforts to simplify networks are underway Automation is a foundational step to achieving other goals Assess which part(s) of the network infrastructure are most important Frame the discussion with both cost savings and business revenue enablement Expect further developments in network automation IDC Visit us at IDC.com and follow us on Twitter: @IDC 30

Cisco NSO Our Industry Leading Automation & Orchestration Platform

The Four Pillars of Orchestration 1 Orchestration Across Multiple Domains 2 State Convergence 3 Orchestrated Assurance 4 Data Models and Data Model Mapping Foundation for Full Lifecycle Service Automation

Cisco Orchestration Architecture High Level View CPE Order Managers OSS Network Service Orchestrator (NSO) Configuration-based Provisioning Multi-layer WAN SDN CFS RFS Infrastructure DC & NFV Controller Metro and Access WAN Data Center Model-driven end-to-end service lifecycle and customer experience in focus Seamless integration with existing and future OSS/BSS environment Loosely-coupled and modular architecture leveraging open APIs and standard protocols Orchestration across multi-domain and multi-layer for centralized policy and services across entire network

NSO Main Feature #1 Model-based Architecture Software Engineers REST, NETCONF, Java, Python, Erlang, CLI, Web UI Service Manager Device Manager Network Equipment Drivers (NEDs) Serv ice Model Dev ice Model No hard-coded assumptions about: Network services Network architecture Network devices Instead: Data models written in YANG (RFC 6020) NETCONF, REST, SNMP, CLI, etc CPE Metro and Access WAN Data Center

NSO Main Feature #1 Model-based Architecture (continued) Software Service Manager Engineers REST, NETCONF, Java, Python, Erlang, CLI, Web UI Serv ice Model Customer owns lifecycle of formal service definition Product management defines the services Infrastructure team deploys and manages Order Management team consumes the services CPE Device Manager Network Equipment Drivers (NEDs) NETCONF, REST, SNMP, CLI, etc Metro and Access WAN Data Center Dev ice Model No hard-coded assumptions about: Network services Network architecture Network devices Instead: Data models written in YANG (RFC 6020)

What You Gain with Cisco Automation Agility throughout service lifecycle Full automation Robust and proven in tier-1 deployments Industry s broadest multivendor support Most scalable service orchestration ETSI MANO compliant NFVO, VNFM Relevant in today s and tomorrow s networks

Achieving Automation with YANG Modeling Technologies White Paper All attendees today will receive a copy

For more information Visit: www.cisco.com/go/nso and contact your Cisco account representatives