Making Inroads to Infrastructure SDN with Cisco Quantum WAVE. Sonny Franslay Consulting SE, WAN Orchestration

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2 Making Inroads to Infrastructure SDN with Cisco Quantum WAVE Sonny Franslay Consulting SE, WAN Orchestration 2

3 The Mission: Service Provider Business Transformation Cost Reduction and Agility Delivers Profits Dynamic Set-Up, Tear Down and Provisioning On-Demand Workload Movement with Service Profiles Orchestration Workload Portability Full Access to Resource Pools Anywhere Cloud Services Data Center Network Virtualized Resource Pools (network ready compute/storage) Virtualized Network Functions AUTOMATION, VIRTUALIZATION AND ORCHESTRATION ARE REQUIRED

4 SDN and NFV Innovations Drive Agility CISCO OPEN NETWORK ENVIRONMENT Ultra HD Cloud M2M Mobility Applications Management and Orchestration Infrastructure

5 SDN and NFV Innovations Drive Agility CISCO OPEN NETWORK ENVIRONMENT Ultra HD Cloud M2M Mobility Applications Evolved Services Platform Policies and Automation Evolved Programmable Network Physical and Virtual

6 Carrier Class Reliability and High Availability Automating a New Class of Carrier Cloud Services Evolved Services Platform (ESP) Service Broker Business Intent catalogs, workflows Service Catalog Virtual Private Routing / VPN Transport Security Mobility Video/ Content Cloud Managed Services Cross Domain Orchestration Orchestration Engine Execution configuration, automation, provisioning Service Provisioning Physical & Virtual Services Provision WAN services Provision NFV in DC Network Orchestration WAN Orchestration & Optimization Open Daylight Compute & Storage Control APIC, OpenStack Elastic Services Control Service Lifecycle management Provision WAN/VPN Services & SLA Admit Bandwidth Optimize WAN Activate & Place Cloud/NFV services Evolved Programmable Network Physical & Virtual Network, Compute & Storage SP WAN / VPN SP Core SP DC End2End Service Management and SLA Guarantees 6

7 Carrier Class Reliability and High Availability Automating a New Class of Carrier Cloud Services Evolved Services Platform (ESP) Service Broker Business Intent catalogs, workflows Service Catalog Virtual Private Routing / VPN Transport Security Mobility Video/ Content Cloud Managed Services Cross Domain Orchestration Orchestration Engine Execution configuration, automation, provisioning Service Provisioning Physical & Virtual Services Provision WAN services Provision NFV in DC Network Orchestration WAN Orchestration & Optimization Open Daylight Compute & Storage Control APIC, OpenStack Elastic Services Control Service Lifecycle management Provision WAN/VPN Services & SLA Admit Bandwidth Optimize WAN Activate & Place Cloud/NFV services Evolved Programmable Network Physical & Virtual Network, Compute & Storage SP WAN / VPN SP Core SP DC End2End Service Management and SLA Guarantees 7

8 Cisco WAN Orchestration: MATE & Quantum WAVE Proactively prepare your network for SDN Visualize network topology Simulate and correct network anomalies Optimize network performance Eliminate SDN migration questions Protect your network investment

9 Provider Business Problems Lower Costs and Support Increasing Bandwidth Run the network hotter Sweat assets more effectively Reduce time to turn up services Reclaim unused bandwidth whether for protection or inefficiencies Dealing with Failures and a Changing Demand Matrix No longer an option to build to 9 month forecasts Swing in demands can be on weekly to monthly basis How to match network configuration to demands in a more timely manner? Bring a Business Approach to the Network Build accurate cost models for peering Cost models on a percustomer per-service business Move beyond all you can eat model Offer innovative new ways for customers to purchase bandwidth

10 Journey to Evolved Programmable Networks Visibility Analysis Control Network MATE Live MATE Design WAN Orchestrator Optimize the Network Evaluate Network Topologies Scenario Analysis Reclaim Stranded Bandwidth Traffic Balancing Failure Analysis RSVP, QoS and Multicast Design Maintenance Planning Visualize the Network Explore the Network (filter, sort, drill down) Visualize Hotspots Traffic Trending Network Efficiency Analysis Report and Analyze Events & Trends Bandwidth Forecasting Historical and Real-Time Data Control the Network Multi-Layer Services On-Demand Bandwidth Calendaring Automate Service Delivery Proactively Manage Service Integrity Rapidly Address Network Failures Analytics & Business Intelligence Proactively Manage High Cost Assets Application Integration for Customization

11 MATE to WAVE Transition Strategy Build a complete and accurate visualization of WAN infrastructure Extract underlying information and use the intelligence gathered to analyze and form a strategy for optimization in Design Extend capability to enable control for complete lifecycle of network optimisation Visualize Analyze Design Network Data Collection CLI Netflow SNMP MATE

12 MATE to WAVE Transition Strategy Build a complete and accurate visualization of WAN infrastructure Extract underlying information and use the intelligence gathered to analyze and form a strategy for optimization in Design Extend capability to enable control for complete lifecycle of network optimisation Visualize Analyze Design Control Network Data Collection WAVE CLI Netflow SNMP BGP-LS Network Programming O/F PCEP I2RS

13 Journey to Evolved Programmable Networks Visibility MATE Live Visualize the Network Explore the Network (filter, sort, drill down) Visualize Hotspots Traffic Trending Network Efficiency Analysis Report and Analyze Events & Trends Bandwidth Forecasting Historical and Real-Time Data

14 Cisco MATE Components Design, engineer, and plan IP/MPLS networks MATE Design Simulation Optimization MATE Live Analytics Map Network analytics with navigation to current and historical data Automatically discover and continuously maintain network data MATE Collector Offline/Online Collection

15 Cisco MATE Components MATE Live Analytics Map Network analytics with navigation to current and historical data Automatically discover and continuously maintain network data MATE Collector Offline/Online Collection

16 Collector Automated Collection Online (SNMP, CLI, XML, and Flow Data) Offline (Router Configs and IGP DB) Discovery & Statistics Topology (IGP, LSP, VPN, Multicast) Traffic statistics Performance and Scalability nodes, 1000s of interfaces in minutes Multi-protocol OSPFv2/v3, ISIS, BGP, IP QoS, IP MCAST, RSVP-TE, LDP, as well as Layer 2 and 3 VPNs, IPv6 Multi-vendor support Cisco: IOS, IOS-XR Juniper: Junos Alcatel-Lucent: SAM Huawei: VRP

17 Network Topology View

18 Topology Geographical View

19 Detailed Map View (Online map)

20 Auto-discovery IGP routing topology

21 Auto-discovery of routing topology

22 Auto-discovery IGP routing topology In addition, also discover possible ECMP based on configured IGP metric

23 Auto-discovery MPLS routing topology MPLS TE tunnels path

24 Discovered QoS queues

25 Inventory information

26 BGP Peering and Traffic Demand to the peer 26

27 MATE Live Overview Online, web-based network analytics application part of the MATE portfolio Interactive access to current and historical network infrastructure data Use cases: troubleshooting, optimization and planning of service providers networks

28 Key Features Automated, in-depth network infrastructure data collection: Interfaces, Nodes, LSPs, Demands Interactive navigation and visualization Smart, fast and flexible reporting Integration with MATE Design for forecasting Easy to install, low maintenance

29 MATE Live Components Map Explore Analytics Operational weathermap Interactive network exploration Traffic trends, health and ad hoc reports Visualize, detect Navigate, troubleshoot Analyze, predict Tightly coupled to expedite navigation to relevant data

30 Map Operational Weather map Graphs and drill down Link to Explore for details Aggregated Peering Traffic Health Current Network Issues

31 Explore Visualize current network state across interfaces, nodes, LSP s and demands Quickly drill down to relevant data using filtering, sorting and navigation between objects Visualize historical data with a simple click

32 Analytics Traffic trending, health, and ad hoc reports Interactive filtering and sorting of results Scheduling alerts

33 MATE Live Use Cases Ops Peering coordinator Planner Manager Ops/Engineering

34 Ops Detect and solve congestion issues 1/5 Detect an interface congestion on Map Navigate to related LSPs currently through that interface Rank them by traffic to decide which one to reroute

35 Peering Coordinator Health and Peering Planning 2/5 Monitor high level health of peering connections across sites Quickly drill down to specific interface to analyze issues Project individual peering interface growth and plan which one to upgrade Report quarterly on per-peer P95 aggregated in, out traffic and traffic balance and use as a basis of peering negotiations

36 Backbone Planner Traffic Demand Forecasting 3/5 Generate network traffic growth reports Per site or site to site Based on interfaces, LSPs or demands traffic Directly import growth into MATE Design Run projections in MD and plan network changes

37 Network Manager Traffic Growth Trending 4/5 Monitor business health by looking at high level traffic growth indicators Quarterly total network traffic & growth Quarterly per-market traffic & growth

38 Ops/Engineering Determine and Fix LSP churn 5/5 Use a health report to determine which LSPs are the most unstable over time Further analyze the issue by looking at paths used over time and setup BW changes Take corrective actions (capacity upgrade, TE)

39 Journey to Evolved Programmable Networks Visibility Analysis MATE Live Visualize the Network Explore the Network (filter, sort, drill down) Visualize Hotspots Traffic Trending Network Efficiency Analysis Report and Analyze Events & Trends Bandwidth Forecasting Historical and Real-Time Data MATE Design Optimize the Network Evaluate Network Topologies Scenario Analysis Reclaim Stranded Bandwidth Traffic Balancing Failure Analysis RSVP, QoS and Multicast Design Maintenance Planning

40 Cisco MATE Components Design, engineer, and plan IP/MPLS networks MATE Design Simulation Optimization MATE Live Analytics Map Network analytics with navigation to current and historical data Automatically discover and continuously maintain network data MATE Collector Offline/Online Collection

41 MATE Design Overview Visualization Graphical view of link traffic utilization Customized topology views Traffic paths, LSP paths and shortest path Capacity Planning Full Traffic Matrix and Topology Traffic Trending/Forecasting Model Network adds/moves/changes Optimization and Traffic Engineering IGP and LSP metrics with detailed reports and recommendations Network-Wide Simulation Analysis Extensive network wide failure analysis Worst Case analysis of Network Maintenance Planning Risk Analysis of planned outages, Model Node, Circuit and SRLG failovers Snapshot from MATE Design

42 MATE Design Use Cases 1. Validation of design strategy 2. Network design toolbox 3. Improving capacity planning process 4. Are your network resources optimized?

43 1. Validation of design strategy MATE can help to validate if implemented network conforms to initial design, for e.g ECMP routing

44 1. Validation of design strategy (2) Identify if failover scenario as expected; in this example simulation sh ows that when a circuit fails, the traffic does not failover to the parallel circuit

45 2. Network Design Toolbox MATE can helps to simulate design changes and its impact, in this example a metric change helps to implement ECMP to relieve a high utilization on one interface Reduce IGP metric here

46 2. Network Design Toolbox (2) Adding an express route New express route

47 3. Risk Analysis: Simulated failure scenario

48 3. Risk Analysis: Simulated failure scenario

49 Capacity Planning (2) Impact of Adding a New Circuit Observe Link Congestion Add New Direct Circuit

50 Capacity Planning (3) Adding New Service/Customer to Network Network-wide evaluation of traffic impact MATE Design removes the guesswork Rapid Turn-up of customer or service Diagram 1 of 4

51 Capacity Planning (4) Adding New Service/Customer to Network Network-wide evaluation of traffic impact MATE Design removes the guesswork Rapid Turn-up of customer or service Diagram 2 of 4

52 Capacity Planning (4) Adding New Service/Customer to Network Network-wide evaluation of traffic impact MATE Design removes the guesswork Rapid Turn-up of customer or service Diagram 3 of 4

53 Capacity Planning (4) Adding New Service/Customer to Network Network-wide evaluation of traffic impact MATE Design removes the guesswork Rapid Turn-up of customer or service Diagram 4 of 4

54 Capacity Planning (5) Projecting Traffic Growth Traffic forecasting over time periods MATE Design provides visual diagram of each stage Network upgrades/changes are planned with confidence Diagram 1 of 3

55 Capacity Planning (5) Projecting Traffic Growth Traffic forecasting over time periods MATE Design provides visual diagram of each stage Network upgrades/changes are planned with confidence Diagram 2 of 3

56 Capacity Planning (6) Modeling Capacity Build-out Step 1: Extensive Worst case simulation analysis reveals at risk circuits Step 2: Model adding extra capacity between sites Step 3: Determine the correct Network upgrade required Maximize network performance and cost savings Diagram 3 of 3: Network impact of adding 2 nd cir from nyc to wdc Diagram 2 of 3: Network impact of adding 2 nd cir from kyc to wdc Diagram 1 of 3: Worst Case analysis Network View

57 Journey to Evolved Programmable Networks Visibility Analysis Control Network MATE Live Visualize the Network Explore the Network (filter, sort, drill down) Visualize Hotspots Traffic Trending Network Efficiency Analysis Report and Analyze Events & Trends Bandwidth Forecasting Historical and Real-Time Data MATE Design Optimize the Network Evaluate Network Topologies Scenario Analysis Reclaim Stranded Bandwidth Traffic Balancing Failure Analysis RSVP, QoS and Multicast Design Maintenance Planning WAVE Control the Network Multi-Layer Services On-Demand Bandwidth Calendaring Automate Service Delivery Proactively Manage Service Integrity Rapidly Address Network Failures Analytics & Business Intelligence Proactively Manage High Cost Assets Application Integration for Customization

58 Cisco MATE - Current State Design, engineer and plan IP/MPLS networks MATE Design Desktop Application Predictive Model Archive Web Application Plan Archives MATE Live Web Application MAP EXPLORE/ ANALYTICS Time Series Data-store Operational Infrastructure Analytics interactively visualize, navigate and report on near real time and historical data Automatically discover and continuously maintain network data Router Configs Offline Collection Statistics API External Systems Plan file Archives MATE Collector Flow Data Flow Collection Online Collection Time-Series Datastore SNMP and CLI Cisco Huawei SOAP XML Juniper Multivendor Network Devices SAM ALU

59 MATE Portfolio Evolution to Cisco WAVE MATE Design Desktop Application Predictive Model MATE Live Web Application MAP EXPLORE/ ANALYTICS Archive Web Application Plan Archives Time Series Data-store Plan file Archives Time-Series Datastore Collection Modules Programming Modules SNMP CLI NetFlo BGP-LS NMS/EMS PCEP Configlets w OneP K OpenFlow Collection Drivers Programming Drivers Cisco Huawei Juniper ALU... Multivendor Network Devices I2RS

60 MATE Portfolio Evolution to Cisco WAVE Adding an API/Abstraction Layer and Other Apps WAVE Applications WAVE MATE Design MATE Design Desktop Application MATE Live Cisco Applications Archive Web Application PRIME Base Plan Client Archives App Predictive Model MATE Live Web MAP Application EXPLORE/ ANALYTICS Time Series Data-store Service, Network and Analytics REST APIs Other 3 rd Party Applications Collection Modules Programming Modules SNMP CLI NetFlow BGP-LS NMS/EMS PCEP Configlets OnePK OpenFlow Collection Drivers Programming Drivers Cisco Huawei Juniper ALU... Multivendor Network Devices I2RS

61 Simple Migration from MATE to Quantum WAVE MATE Design MATE Design MATE Live SDN Apps Other Cisco Apps Other Third Party Apps WAVE MATE Collector Collector Plan Module Optimization Prediction Module Calendaring Module Analysis Module Deployer Module

62 Smooth Migration to Cisco WAN Orchestrator Designed Specifically for Service Providers Simplified Migration Process MATE Design MATE Live Custom Apps Protects Existing MATE Investment Optimize Network Performance Only Infrastructure SDN solution with predictive modeling REST API Cisco WAN Orchestrator BGP-LS, SNMP, CLI OpenFlow, PCEP, BGP-FS Abstracted Network Services Purpose Built Pricing Model MPLS-TE Segment Routing Upgrade Services Available Topology, Stats Optical Network

63 Quantum WAVE Components Module Capabilities API support Collector Topology and Traffic information collection Network Interface APIs: Raw data on topology and traffic Plan Current state of the network or Planned ( simulated ) state of the network Optimization and Prediction Calendaring Deployer Global and Tactical Optimization. Predictive Analysis for what-if scenarios TE, Multicast, SR functions Bandwidth reservation to admit future demands. Configuration scheduling Programming network devices with flexibility to suppo rt different programming modules Plan APIs: Current state or Planned state of the netw ork OPM APIs: Run optimization and predictive analysis Calendaring APIs: Reserve Bandwidth Schedule configuration changes Deployer APIs: Path creation, deletion or changes Analysis Data store for past trends and analysis Analytics Reporting APIs: Retrieve historical trending data

64 WAVE API Abstractions Network Aware Applications Service API Analytics API Model API Northbound (REST) APIs Demand Engineering, Traffic Engineering, Simulation & Predicative Analytics WAVE Platform Internal Modules Also Use APIs Trends and Analysis Network Topology, SRLGs, Routing Other Collection/ Programming APIs Device Collection API Device Programming API Southbound APIs Interface with other collectors/controllers CLI, SNMP, Netflow, BGP-LS PCEP, Confoglets onepk, OpenFlow, I2RS

65 Application/WAVE API Types Network Aware Applications Query APIs Harvest network information, Leverage NS-OS intelligence. Admit APIs Change TE parameters in the network WAVE Platform

66 Cisco WAN Orchestrator Applications Scheduled Application MATE Design MATE Live New Applications Bandwidth Scheduling Tunnel Manager Tunnel Balancing

67 Service Module - Bandwidth Scheduling Customer has ON-Demand Need for a DC Backup or to Move Content Mangement Cisco Evolved Services Platform Enterprise Portal VNF DPII Service Broker WAVE Catalog Network Capacity is Analyzed Best Path Calculated New LSP Programmed via PCEP Enterprise Data Center Security Congested!! Enterprise Service Portal PCEP R2 Enterprise Data Center R1 Cisco Evolved Programmable Network

68 WAVE Use Case: Bandwidth Calendaring Customer App Collector 2 1 NB API WAVE Program PCEP 1. Network conditions reported to collector consistently 2. WAVE pulls latest Plan File every from existing MATE Collector 3. Customer App requests DC #1 DC #2 bandwidth at Future Date 4. Demand admission response: <R1-R3, B/W, Future Date> 5. Customer App confirms booking 6. Two hours prior to activation NS-OS places config in BTM 7. BTM programs the LSP on devices 8. LSP setup for traffic WAN R2 Data Center #1 R1 8 R3 Data Center #

69 Use-Case: TE Manager Load Balancing Problem: A service provider needs to efficiently use expensive resources (high cost links, perhaps transoceanic). TE Tunnel Builder App Solution: The most expensive network resources are fully optimized by NS-OS assigning best load share metrics using PCEP. RESTful APIs WAVE Platform Collection Programming Network conditions reported to collector, accessible to App App determines LSP imbalance and requests WAVE to recalculate LSP load share metrics WAVE computes new load share metrics WAVE programs new load share metrics for LSPs using PCEP 1 PCEP 4 R1 AS Foo WAN

70 Use-Case: Data Center WAN Orchestration Objective: Needs to dynamically turn up new services and data path for a new premium user Cross-domain controller 2 APIs DC Controller Solution: DC-WAN Orch ap provides higher level orchestration between DC controller and WAVE 3 RESTful APIs WAVE Platform Collection Programming Network conditions reported to collector App requests DC resource spin-up of service overlay At the same time, app requests corresponding WAN resource allocation WAVE programs WAN path WAVE programs classifier to map customer traffic onto WAN path 1 5 OF PCEP 4 OF 5 WAN Premium R Customer Traffic WAN Path R2 73

71 Cisco WAVE Timeline Target Features 1H2014 Controlled Trials 2HCY2014 Limited Availability CY2015 General Availability CIsco WAVE Platform REST API Support BW on-demand and BW Calendaring Optimization and Prediction Module support Traffic Engineering support PCEP Enhanements for MD5 Autn., LSP Delegation Deployer Module: Configlet support OPM: Segment Routing support Analytics Module: Reporting API Tunnel Manager Applications: Disjoint Paths, Co-ordinated Maintenance, Auto-Bandwidth Support, BW Calendaring, Multilayer Optimization Collector support with R5.6 parity Deployer Module: PCEP Support Calendaring Module Cisco Applications: MATE Design, MATE Live Plan Module: Plan API Support L1 Collection on Cisco Devices Multi-Compute node support Demo App: Tunnel Balancer Performance and Scale Enhancements Multi-layer support introduction Scale: 80 Nodes, 200 Tunnels Scale: 1200 Nodes, Tunnels

72 Visit the Demo Booth at Service Provider Area

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