Cisco IT - Our own App Evolution. Arthur Rosling, Cisco IT

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2 Cisco IT - Our own App Evolution Arthur Rosling, Cisco IT

3 Agenda Introduction Network Visibility The Automated DC Application Transparency Elastic Compute Future State

4 Cisco at a Glance 94 Countries 482 Offices 136,381 Connected Stakeholders 72,468 Employees 4,326 Routers 28.8MW Data Center Capacity 87PB Overall Usable Storage SJC 45% AM Other 6% RTP 14% Global Distribution of IT Staff EU/EM 7% India 21% AP Other 7% 6,572 LAN Switches 13,632 UCS Blades 201,023 Connected User Devices 56,355 Virtual Machines 94 Services 5.8 Billion DNS Requests per day Data as of January 2018

5 IT Strategic Enablers Trusted Partner Business, technology and industry knowledgeable advisors Data Driven Insightful and actionable data to optimize our operations, services and clients business Simple, Reliable & Secure Easy consumption of relevant services delivered fast for our evolving set of clients Software Defined Evolving our technical solutions and talent to drive continual value

6 Digital Principles Simplification Automation Security Analytics Continuous Innovation Simplified Ordering & Provisioning Programmable & Self-Service Architecture S E R V I C E Network As A Sensor/ Enforcer Real-time & Playback Of Insights Application Dependency & Performance Software Defined Architecture Assurance Context-Aware Self-Defining I N N O V AT I O N Self-Defending Self-Healing & Provisioning Self-Informing

7 Tier 1 WAN & Internet PoPs Internet Hong Kong Bangalore Tokyo Sydney San Jose/ Redwood Cty Hawthorne Denver Chicago Kanata RTP Lawrenceville Richardson Orlando NY London Amsterdam Hong Kong Shanghai Tokyo Hawthorne San Jose Bangalore/ Chennai San Jose Singapore Hawthorne 10 Gb/s 2.5Gb/s (OC48) 622Mb/s (OC12) 155Mb/s (OC3) Tier 1a Transit Node Tier 1b Non-Transit Node Production DC Sao Paulo Sydney

8 Data Centre in Transition VMs Workload Mobility Containers J2EE Monolith Application Architecture Polyglot Microservices Delivery Process Scheduled Release Continuous Deployment Application Infrastructure Physical/Virtual Machine management Configuration Management Policy Based Infrastructure Integrated Networking SDN Overlays Application Centric Converged Storage Storage Arrays Software Defined

9 Journey to the Cloud Data Center Transformation Global Cloud Strategy Growth Enablement Service Transformation Resiliency Capacity (Build) Global Data Center Strategy Simplify app portfolio 3K > 1.6K Time to full app environment Compute/Storage density improvements 8 weeks to 8 mins 4X Total capacity (in MW) at Cisco Data Centers 28.8 Cost Avoidance / Savings $$Ms Speed App/Data Transformation Software-Defined Intelligence Capacity (Optimize & Extend) Today (and Future) Global Cloud Strategy

10 Network Visibility

11 Tetration Analytics : One Platform, multiple use cases Network Flows + Server-level Information + Analytics Public Applications Insight Dependency Mapping ACI Migration (whitelist) Nexus 9K Private Tetration Analytics Engine Performance Benchmarking on the Network Deviation Detection Security & Auditing Auditing Security Enforcement Policy Verification ~ what if Threat Detection C VM VM VM BM Other Platforms ServiceNow DC Analytics CMDB accuracy Inventory (SNOW) Increase Operational Insights Unused infrastructure Stealthwatch

12 Flow Search Define your filters

13 Flow Data

14 Application Workspace

15 Security Through Greater Visibility A production DB making connections to lab networks?

16 The Automated DC

17 Data Center ACI ROI for ALLN Greater Business Agility Lower Capital Expenses Reduced Costs/ Complexity Lower Operating Cost Increase Data Center Space Resource Optimization projected 58% 25% 21% 45% 19% 12% 67%* 67% 91% 66% 20% actual ** Reduce Network Provisioning Reduce Network CAPEX Reduce Network Management Cost Reduce Network Power and Cooling Costs Reduce Network Footprint Optimize Infrastructure *excluding ACC self-service **on target for projected

18 Data Centre Transformation Sustained YoY TCO (1) reduction provisioning from days to minutes Virt. Rate (%) 100% E2E Prov. (Days) 60 $98,930 TCO ($ per Qtr) Virtualization Rate E2E Provisioning (Days) -33% 92% Virtualization 95% TCO ($ Per Qtr) $ % 45 E2E I+P (1) = 45 days $66,009 70% $ % 50% 30 $41,349-26% $30,729 $ % 15 5% Circa 2009 Legacy Bare Metal based Data Center E2E I+P (1) = 17 days E2E I+P (1) = 7 days VM = 15 mins. E2E I+P (1) Automated Provisioning Q2 CY12 Q2 CY14 Q2/Q3 CY16 CITEIS Gen 2 PaaS enablement Storage optimization UCS adoption Compute Virtualization ACI Network architecture Process automation Open Stack/ Open Shift SAN/NAS/CEPH $25000 $0

19 Application Transparency

20 Source: AppDynamics Why AppD : Application complexity is increasing Agile Login Validate Config Mobile SOA Cloud Submit Order Order Status Web Big data NOSQL 20

21 Application Monitoring Application flow map Load (calls/min) Business Transaction response Errors (error/min) Transaction scorecard (normal/slow/very slow) JVM Memory Utilization JVM Threads JVM Process CPU Usage JDBC connection pools Health Rule Violations

22 End User Monitoring Response time trend Top browsers Top devices Page requests per minute Total page requests End user response time Page views with Javascript errors DOM ready time First byte time Performance by browser

23 Business Value Realized 10X faster Detection & Root Cause ID 15% less cases 4 times easier 30% Cost avoidance MTTD MTTR Speed Quality Ease of Doing Ease Business of Doing Business Cost

24 Elastic Compute

25 Elastic Compute : Fundamental Capabilities Automated Upsizing Continuously monitor all VM resource utilization Add CPU or Memory to a running VM no reboot or downtime required C W O M Targeted Rightsizing Track long-term historical VM resource utilization Reduce CPU or Memory allocated to a VM during existing maintenance downtime

26 RTP1 Elasticity Outcomes 20GB+ per VM Average resize memory recovered 50% Reduction Of over-provisioned memory $1 Million+ Cost avoidance! 2,200+ new VMs Equivalent capacity recovered 80% less contention Among Virtual Clusters 600+ VMs upsized Automatically since Feb 10, with no downtime V 4,200 vcpus Recovered Q3 RCDN & ALLN e estore option N E X T S T E P S

27 Presentation ID 27

28 estore Service Value FY14-16

29 Private Cloud Solution Components Cisco One Enterprise Cloud Suite Resource Managers Cisco UCS Enterprise Management Prime Service Catalog Self-Service Service Catalog Cisco Process Orchestrator Automation Packs Provisioning Automation Message Bus Address Mgmt, Host Mgmt Customer Support Incident Mgmt, Change Mgmt PaaS Management OpenShift, Puppet Cloud Management vcenter, OpenStack Storage Management DC Resources UCS Director Network Management APIC APIC, PNSC, N1Kv

30 Infra 2020 Platform 2 and 3 CITEIS Self- ACC Managed MT-IaaS Platform2: Business Critical IT Infrastructure Reference architecture CITEIS G2 CIS US- Internal-1 CNT (Cloud-Native Transformation) Multi-Cloud Mgmt Platform (MCMP) Platform3: Cloud Operating Model Programmable Infra Automation Platform Platform2: Business Critical IT Infrastructure Modernize architecture CSPs Today (2017) Tomorrow (2020)

31 Platform 3 End State API First Self-Service Onboarding 2 nd ACI Fabric OpenStack, CAE and CloudDB Neutral Pricing - Mix of Central & Cross Charging Self Managed (Default) and Managed Support Cloud Service Provider Mentality

32 Cisco Live 2018 Tetration in a real DC Take a deep dive into Cisco IT's production infrastructure and the 66 billion flows in our live analysis of traffic in one of our largest DC's. Analyse, Automate & Alert See what our IT innovators have done with NAM's, Netflow, open API's and SPARK to create custom analysis and alerting for our network operations teams. Application Transparency Look under the cover of every application with App Dynamics to understand how each individual application component is performing and see if that problem really is the network CMX Tracking Come register in this fun competition that combines sweat, tech and swag to see who travels the furthest during the Cisco Live event and you might even win an awesome prize for your effort! Presentation ID 32

33 Thank you

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