Case Study: Orchestration of Hybrid Networks

Transcription

1 Hema Kadia VP - Head of Strategy and Practice for SDN/NFV Case Study: Orchestration of Hybrid Networks Achieving End-To-End Service Orchestration across Hybrid Networks Russ Bartels Director SDN & Networks Automation/Analytics

2 Digital Lifestyle Our Services: Windstream Residential, Small Business, Enterprise and Wholesale Business Segments Data Networking Windstream is a U.S. based FORTUNE 500 company and a leading provider of advanced network communications and technology solutions SDN Services Optical Wave Carrier Ethernet SD-WAN Broadband Element Commissioning Core Transport Security Unified Communications Managed Services SD-WAN Broadband Entertainment 2

3 Who We Are Exclusive focus on the digital service provider (DSPs) vertical Key Clientele Trusted partner to leaders in the communications industry, including Fortune 500 customers and 95% of clients have re-engaged Portfolio RPA/Telebots SDN/NFV AI/ML & IoT O/BSS and BPO DevOps & Microservices Part of The Jhaver Group $1.3 Billion Right-Sized, Flexible Partner with multi-shore delivery model 35%+ YOY Growth 64 Locations Global Operations 16,500 Employees 3

4 1 Reduce service delivery time 2 Revenue & margin growth Business Drivers for Network Transformation 3 Seamless capacity management 4 OPEX and CAPEX reduction 5 Enhanced customer experience with self-service 4

5 Intent-based, multi-domain service orchestration Technical Solution Requirements Flow through automation Network-based topology database Interoperability between legacy and SDN-enabled network appliances Avoid vendor lock-in Microservices-based deployment architecture

6 Architecture Vision for Based Multi-Domain Orchestration O/BSS Stack Key Considerations: Cloud infrastructure at core, edge & premises a Services API Global multi-domain network & service orchestrator Closed Loop Assurance Public & private cloud tight coupling for service chaining SDN Controller EMS/Controller SD-WAN Controller NFV MANO ACCESS NETWORK PPPoE METRO EDGE NETWORK CORE NETWORK International Peering Programmable optical network optimizing traffic flows OLT POTS RADIO ACCESS DSLAM POT Switch ETH SWITCH METRO SWITCH Metro Packet Optical CUST. LAN BNAS L2 Switch L2 Switch CUSTOMER EDGE CORE ROUTER PROVIDER EDGE CORE GIGA ROUTER OADM IP/MPLS OADM DWDM RING INTERNET ROUTER CORE ROUTER OADM Overarching service orchestration across physical & virtual network

7 Sample multi-domain, multi-vendor ecosystem architecture What we did? E.g. Challenges mitigated Portal Catalog, CPQ & Order Management Data Virtualization Platform Inventory Management 1 Northbound Interfaces (NBI) Lack of open APIs for OSS REST Microservices REST Global multi-domain network & service orchestrator (Service Templates) Middleware Platforms 2 Service Templates (TOSCA/HEAT) Lack of single source of truth e.g. inventory data Lack of legacy network YANG RESTCONF Openflow REST CLI REST CLI NETCONF CLI programmability SDN Controllers. EMS/Controllers. 3 Southbound Interfaces (SBI) IT & network skillset bridging Transport Network Access Network DSLAM IP/MPLS Network 7 7

8 4 Switching & routing enhancements What we did? E.g. Challenges mitigated Enabling switches Many vendor specific and routers to features still not support centralized available as YANG configuration models Standard configuration not available across all Configure vendors YANG/network configuration models Developed CLI-based adapters and Python based APIs 8 8

9 5 DevOps/Agile and testing framework DevOps/Agile Framework Automating planning Deployment CI/CD pipeline Testing Automation Framework Deployable Content + TOSCA Templates Dashboard CI/CD Pipeline Deployment Group Monitoring Docker images with built code Automating system, Interoperability and integration, Simulation testing across domains For CE 2.0 (E-Line, E-Access), L2/L3 VPN, Wave, Code Inspection SD-WAN, vcpe. Development Environment Code Repository Production Environment E.g. Challenges Mitigated Change requests approval Module Unit Test Platform Test Staging Acceptance Test Policy constraints for code change in production 9

10 6 Enabling closed loop assurance leveraging AI/ML What we did? E.g. Challenges mitigated E.g. Performance Management (PM) Data Machine Learning Algorithm Predicts events of different severities based on the intelligence built Big data lake implementatio n Skills pivot for big data lakes, analytics, AI and ML Custom ingestion code i.e. Prediction integration various data sources Event Not an event Custom graph visualization such as alerts, performance, ticket Critical Info Clear Data prediction PoC & porting Visualization tool development & mail integration into production Model selection & training 10

11 7 Applications Operation and Maintenance What we did? Proactive operation and maintenance ensuring application availability Decouple the core and service management layer Backup the declarative configurations Ensure network firmware and software level Proactive application upgrade and enhancement based on product rollout Perform a diligent canary testing for all the components Execute upgrade or patch enhancement Dry-run with decoupled system E.g. Challenges Mitigated Seamless multi-vendor, multi-domain production environment upgrade Start and couple the service management layer System Testing Network traffic and application load balancing 11

12 What we did? 8 Managed Network Upgrade Enabling SDN Features Automated bulk firmware and software upgrade, enabling SDN features CLI-based automated bulk configuration across managed routers via orchestrator Validate syntax and configurati on Login to managed device and enable uplink ports Configure manageme nt interfaces and VLANs Extract inventory and upload Detect and match firmware version Trigger upgrade and reboot Publish birth certificate E.g. Challenges mitigated Heterogenous network elements and software levels Multiple legacy NMS and EMS systems 12

13 To enable E2E Service Orchestration in Hybrid Networks Southbound Interfaces (SBI) Routing and Switching Enhancements Service Templates (TOSCA/HEAT) Northbound Interfaces (NBI) DevOps and Closed Loop Testing Assurance with Automation AI/ML What We Did Applications Operation and Maintenance Managed Network Upgrade Open Source Solution PoCs Solution Platform Advisory 13 10

14 Key Challenges Mitigated IT and network skillset combination Legacy network programmability Moving to agile and DevOps Virtualization adoption Network automation Business and architecture ongoing involvement Partnerships (Prodapt, OEM vendors), Skills pivot & Cross-trainings Plan-prioritize relevant user stories Automated key aspects of CI/CD/CT Early wins on agility and TTM for service delivery Vision alignment and management sponsorship 14

15 01 Model-driven Configuration Templates Network abstraction based on YANG Model for templatized configuration Key Learnings 02 API-driven Automated CRUD Automated service creation based on user configurations via APIs Only specify CREATE operations, REDEPLOY, UPDATE, DELETE auto-generate 03 Transactional Guarantees Reduced manual intervention with templates configuration and automated CRUD From ongoing deployments 04 Enabling Self-healing Network Data Analytics systems and DSP Data Lakes can be integrated for telemetry forecasting and analysis Ensure fail-safe operations Enables error forecasting and demand patterns 15

16 Benefits to our customers Via an automated provisioning in multi-vendor, multi-domain ecosystem in conjuction with our customer ecosystem Reduced time to rollout new services Faster revenue & New revenue CAPEX/OPEX reduction Better customer experience 16

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