Hyper-Converged Computing Chris Dunk, Senior Technical Marketing Engineer

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2 Hyper-Converged Computing Chris Dunk, Senior Technical Marketing Engineer

3 Agenda Hyperconverged and Software Defined SdS Architecture types and technology Introducing Cisco HCI Solution Cisco HCI Solution Overview HCI Use cases and positioning

4 Cisco Integrated Infrastructure

5 Market Trends Convergence and Automation Integrated Infrastructure Minimise Risk Validated designs Any Workload Mission critical apps Flexibility Virtualised and bare metal Scale in Any Dimension Building blocks SIMPLICITY SPEED SCALE (Increasing Overlap) HyperConverged Fast Deployment Minutes not days Management and Operation Simplicity Intuitive UI Simple Elasticity Modular scale Cost Efficiency Predictable step growth

6 Cisco UCS: Platform for All Architectures Converged Infrastructure Mainstream Computing Cisco UCS Hardware Abstracted Policy Driven Open and Programmable Hyperconverged Systems Scale Out Computing UCS Mini Fourth Gen UCS UCS M-Series Modular Servers UCS C3000 Series

7 Software Defined Storage Defined

8 Definition: What is Software Defined Storage (SdS) The programming that controls the storage is decoupled from the physical hardware Consists of the Storage Tier Only Emphasises storage services such as deduplication or replication, instead of storage hardware A shared pool that runs on commodity hardware Utilises Policy Based Management Often referred to as Storage Virtualisation and is part of a bigger industry trend of Software Defined Data centre Hosts Software Defined Storage Local Physical Storage Storage Software can run on bare metal or as a on a hypervisor host

9 Definition: What is Hyperconvergence? New Converged Infrastructure offering utilising Software Defined Storage Controller Tight integration of x86 servers for compute and storage, networking and virtualisation in all-in-one appliance. Packaging Integration of hypervisors and physical infrastructure Simple Scale one unit/appliance at a time Simple deployment measured in hours Centralised management, intuitive UI Storage presentation via a distributed filesystem or object store Controller Controller Hypervisor Local Physical Storage Hypervisor Local Physical Storage Hypervisor Local Physical Storage

10 The Promise of Hyperconverged Systems Agile Deploy at Cloud Speed Instantly Provision, Clone or Snapshot Applications Efficient Flexible Deployment Variety of Configurations to Handle Diversified Set of Workloads Adaptable Scale-As-You-Grow Add Resources Non-Disruptively and Scale Performance Linearly in Small Increments

11 Hyperconvergence First Gen HCI Simplicity Fast Time to Market

12 Hyperconvergence Gaps New Management Silos Inefficient Scaling and Data Optimisation Limited App Performance and Workload Support First Gen HCI Simplicity Fast Time to Market

13 IT Is Looking for a Better Answer Agility Efficiency Adaptability Requirements Simplicity + Integration with Existing Data Centre Easy Scaling + Resource Efficiency Existing Apps + Next Gen Gaps New Management Silos Inefficient Scaling and Data Optimisation Limited App Performance and Workload Support First Gen HCI Simplicity Fast Time to Market

14 Hyperconverged Market Disruptive Competing for mind-share with traditional Integrated Infrastructures many customers are now looking more closely after ware market validation Companies like Nutanix, Simplivity, ware are selling complete, supported, all-in-one appliances with message of simplicity/scale New projects like VDI allow customers to try new solutions like Hyperconverged in the name of cost-savings, while keeping segregated Software-Defined Storage (SDS) is a good fit for certain customer requirements (i.e. ROBO). Cisco has partnership examples at large customers Reality Vendors generally saying the same thing ease of scaling, simple to deploy/size, lower cost vs. SAN There are a lot of discrepancies here and Cisco is doing our homework to separate fact from fiction Reality is two main tiers exist those that are trying to replicate enterprise storage and those who are simply SDS software serving a purpose like retail/vdi Cisco will play in both Many limitations exist outside of vendor designed test plans/poc in areas of data integrity, management, scaling and performance NOT one-size-fits-all. Does not solve every business need. Cost savings are often inflated

15 Converged vs. HyperConverged Customer Criteria Converged HyperConverged Compute, Storage, Network, Server Virtualisation in one Scalability Common Management Software Flexible, allows choosing from Multiple Vendors Flexible, can scale up and out as needed Increasingly offered as an option Rigid, single vendor offers or limited choices Has Limitations Built in by default Packaged as a Single Unit Possible through SI Offered by default Pre-Sized and Pre-configured Possible through SI Offered by default Time to Deployment Days and weeks Hours Pricing Perceived as high Perceived as low Performance, Quality, and Uptime High Designed and validated for high quality and availability at various scales and speeds Low Tests fail at higher scales and speeds

16 Software Defined Storage Benefits Most solutions offer quick deployment and cluster setup Simple to scale clusters Easy for administrators to use no prerequisite SAN expertise needed Dashboards and built-in analytics are comprehensive and easy to understand Built in storage utilisation visibility and control Most offerings have all required advanced storage services Dedupe, compression, backup, replication, VAAI clone, optimised snapshots

17 Software Defined Storage Considerations Emerging market space does not have the maturity yet, lack of confidence in deploying enterprise applications Hype vs real benefits Independent compute and storage scaling, many solutions require purchase of compute, storage and more software as an appliance Mixed workloads with larger active s results in dramatic drops in performance levels results in requiring more HW nodes No Mix and Match Vendor lock-in Traditional SAN arrays offer much higher performance levels and are changing as well As cluster grows the TCO and acquisition cost may surpass most converged infrastructure offerings

18 SdS and Hyperconverged Architecture Types

19 Hyperconverged Architectures Storage installed on Hypervisor Host Storage Controller Virtual Machines have direct access to all physical storage Pool local storage for distributed capacity Hypervisor host presented with an NFS Datastore Examples: Simplivity, Nutanix, Maxta, Springpath Storage Controller Filesystem Storage Pool Hypervisor Local Physical Storage Storage Controller Storage Controller Hypervisor Local Physical Storage Hypervisor Local Physical Storage

20 Hyperconverged Architectures Kernel Based Storage SW integrated into Hypervisor Kernel Pool local storage for distributed capacity Reduced resource overhead Hypervisor host presented with an NFS Datastore ware VSAN; Gridstore Storage Controller SW Hypervisor Local Physical Storage Filesystem Storage Pool Storage Controller SW Hypervisor Local Physical Storage Storage Controller SW Hypervisor Local Physical Storage

21 Software Defined Storage Architectures Software Defined Storage 2 ways for deployment controller on hypervisor host Controller bare metal installation Pool local storage for distributed capacity Storage is presented via iscsi LUN or NFS ScaleIO, Datacore, Stormagic, Atlantis Storage Controller BlockStorage Pool Hypervisor Storage Controller Storage Controller Software Hypervisor Local Physical Storage Operating System Local Physical Storage

22 HCI Architectures Hypervisor Datastore Min of 2-3 nodes in a cluster providing storage Hardware to be similar with equivalent drive technology Typical cluster scale 8 to 64 nodes Disks: Locally attached disks o Hybrid: spinning disks and flash devices o All-Flash: Flash devices only Network o 1GB Ethernet OR o 10GB Ethernet (preferred) Witness node acts as tie-breaker during availability decisions Storage Software Hypervisor Storage Network

23 Data Tiering All data ingested goes through SSD caching tier SSD caching for read and write Allocation varies by vendor Writes are committed replicated and acknowledged at the SSD cache tier Data is moved from SSD cache to spinning drives Time spent in cache is vendor specific Performance is impacted when SSD tier is flooded with heavy IO Cache misses Some vendors also use Memory Caching Moving data closer to the processor More performance Write Typical best practice is to have a 10:1 ratio of HDD to SSD capacity

24 HCI Data High Availability Data is protected by Replication or Erasure Coding Most SdS/HCI stacks use replication but more are switching Replication factor min of 2 Cost is 50% of disk capacity Every block is written to min of 2 different nodes in the cluster Can survive a single node/device failure Higher device protection requires more replication RF3 reduces RAW disk capacity to 33% Most platforms requires min 5 nodes Replicate Write IO

25 Data Replication vs Erasure Coding Replication factor Fast rebuild time Simple technology Consumes large amounts of capacity Erasure Coding RAID like protection (5 or 6) More usable capacity Overhead is high for low number of nodes, need to have larger clusters to get full benefits of capacity efficiency Many vendors building proprietary versions

26 Network Considerations Many solutions require Multicast and IPv6 for node discovery and scale out Multicast used for exchanging metadata and storage network heartbeats Redundant 10Gb networking required for storage data Management/ networking separate from storage network Density solutions will require a large number of 10Gb uplink ports Direct access to switches for low latency storage communication

27 Cisco HyperFlex Systems HX-Series

28 Cisco HyperFlex Systems Cisco UCS: The Ideal System for Hyperconvergence Integrated, High Performance Network Fabric Virtualisation Aware Automated Management of all Hardware 1 Complete Hyperconvergence Unified Compute and Network Infrastructure Wide Array of Rack and Blade Form Factors

29 Cisco HyperFlex Systems 2 Next Gen Data Platform Designed for Distributed Storage Cisco HX Data Platform Data Services and Storage Optimisation 1 Complete Hyperconvergence Unified Compute and Network Infrastructure Cisco HyperFlex

30 Cisco HyperFlex Systems 3 Part of a Complete Data Centre Strategy Elastic and Secure at Enterprise Scale Cisco ACI Cisco One Enterprise Cloud Suite 2 Next Gen Data Platform Designed for Distributed Storage Cisco HX Data Platform Data Services and Storage Optimisation 1 Complete Hyperconvergence Unified Compute and Network Infrastructure Cisco HyperFlex

31 HyperFlex Portfolio Ω Cisco UCS Fabric Interconnects Easy to Buy, Deploy, Scale HX220c Nodes HX240c Nodes HX240c + B200 Hybrid 3 base cluster options and full configure to order Annual subscription software model Factory integration of HW/SW including ware vsphere options Smallest footprint 3-8 Node Cluster (VDI, ROBO) Capacity-heavy 3-8 Node Cluster (Server Virtualisation; IT/Biz Apps, Test/Dev) Compute-heavy (CPU bound apps; VDI) Single call, WW Cisco support

32 HyperFlex Key Customer Benefits Agile Complete Hyperconvergence All 3 Layers of Network, Compute and Storage Intelligently Integrated Into a Single Solution for <30 Minute Deployment Intuitive Management Eliminate Infrastructure Silos and Use Existing Management Tools to Manage and Automate Operations Cloud Speed Instantly Provision, Clone or Snapshot Applications Efficient Built on the UCS Platform Unified Management Using Existing Skillsets in the Organisation Flexible Deployment Variety of Configurations to Handle Diversified Set of Workloads Always-on Data Optimisation Inline Dedupe and Compression Ensuring Hyper-Efficient Resource Utilisation Adaptable Scale-As-You-Grow Add Resources Non-disruptively and Scale Performance Linearly in Small Increments Adaptive Scaling Scale Compute or Capacity to Match Application Needs Non-Stop Infrastructure Self-Healing Fabric Based Hyperconvergence with Cloud Monitoring

33 HyperFlex Differentiation Agile Efficient Adaptable Networking Integration Simplify Management Break Down Silos Deploy the Entire System Faster, Not Just Computing and Storage Standardise Your Configurations and Apply Across All Your HCI Platforms Manage in the Same Way You Manage Your UCS Blade Servers, Rack Servers and Converged Infrastructure Solutions

34 Use Cases

35 Primary HyperFlex Use Cases Virtual Desktop Infrastructure Server Virtualisation Test and Development Large Remote Branch Office Low upfront costs Consistent performance Predictable scaling Reduce operational complexity Adaptive scaling Always-on resiliency Agile provisioning Frequent iterations Instant cloning and snapshots Simple deployment Centralixed management No fly-and-fix missions

36 Cisco HyperFlex Systems Deployment

37 Fast and Easy Installation STEP 0 ware and HX Data Performance Software Installed on Servers at Factory/Reseller Before Shipping to Customer STEP 1 Rack Up Servers, Power on, and Add to vcenter Drag and Drop Configuration (JSON) File Create, Cluster, and Datastore 60 MINUTES OR LESS Start Provisioning s

38 HyperFlex Deployment Workflow Customer Onsite Download HX Data Platform/ UCSM bundle from Cisco.com HyperFlex Installer: UCS Configuration Auto-config. of UCSM policies and core templates Instantiate and assign Service Profiles Configure ESX pre-requisites (manual) Set static IP Address for ESXi hosts Add hosts/datacentre/cluster to vcenter HyperFlex Installer: HX Data Platform Cluster Creation

39 UCS Integrated HyperFlex Networking Predefined DC Network Policies CONTROLLER CONTROLLER CONTROLLER CONTROLLER Data vswitch Management vswitch C DataPort Group C Mgmt Port Group Shipped From Factory With Integrated Networking High Performance, Flat and Predictably Latent Fabric Simplified Network Deployments No specialised protocol requirements such as IPv6, Multicast Plug and Play Networking with UCS Unified Fabric Reduced Complexity, Simplified Decision Making and Deployment

40 UCS: Embedded Automation Rapid Deployment of HyperFlex with Service Profiles Server SME Network SME Server Policy Storage Policy Network Policy Virtualisation Policy Application Profiles Storage SME Uplink port configuration, VLAN, VSAN, QoS, and EtherChannels Server port configuration including LAN and SAN settings Network interface card (NIC) configuration: MAC address, VLAN, and QoS settings; host bus adapter HBA configuration: worldwide names (WWNs), VSANs, and bandwidth constraints; and firmware revisions Unique user ID (UUID), firmware revisions, and RAID controller settings Service Profile Templates Pre-Defined at the Factory for Quick Deployment Service profile assigned to server, chassis slot, or pool configuration: MAC address VLAN, and QoS settings; host bus adapter HBA configuration: worldwide names (WWNs), VSANs, configuration: MAC address, VLAN, and QoS settings; host bus adapter HBA configuration: worldwide names (WWNs), VSANs, configuration: MAC address, VLAN, and QoS settings; host bus adapter HBA configuration: worldwide names (WWNs), VSANs, 1 Subject Matter Expert Define Policies 2 Policies Used to Create Service Profile Templates 3 Service Profile Templates Create Service Profiles 4 Associating Service Profiles with Hardware Configures Servers Automatically

41 Hyperflex Deployment Factory Automation HX Servers Will Be Pre-Installed at Manufacturing With the Following Firmware and Software: HX Server CIMC will be Configured in UCSM Mode UCS 2.2(6f) Is the Minimum Required Version to Support Hyperflex Newer UCS and HX Data Software Versions Will be Installed When they Are Qualified UCS 2.2(6f) ESXi 6.0 U1 HX Data Platform

42 Powered by UCS Platform

43 Hyperconvergence Meets Unified Computing HyperFlex HX-Series HCI Built on Cisco UCS Integrated Compute Centralised Management SystemLink Optimised for Virtualisation Scale Without Complexity Proven Performance Enterprise Reliability Blades & Rack Mount Complete HW Abstraction Policy & Profile Driven Optimised for Scale Low Latency Physical & Virtual Data & Management Comprehensive Hypervisor Integration Native I/O Virtualisation Hypervisor Switching in HW Maintains Single Point of Management Self-Integrating Fewer Components

44 Unified Management Across UCS Portfolio UCS Mini UCS B-Series Blade Servers UCS C-Series Rack Servers UCS HX Series Nodes UCS M-Series Composable Infrastructure Edge-Scale Computing Core Data Centre Workloads UCS Management Cloud-Scale Computing

45 UCS Central Policy-based Management Architecture Simplified, centralised management Based on UCS Manager, which remains the execution engine Global policies are read-only in UCS Manager and are only stored on UCS Manager instances when they are in use Local policies are read-only in UCS Central with visibility to all policies in all UCS Manager instances Global policies, local policies, or a combination of both may be used at the same time User Access Full Two Way Configuration Changes With Traceability User Access UCS Central UCS Element Manager Element Manager Element Manager Manager

46 Cisco UCS HyperFlex Security Hyper Flex Security Unmatched Agility Through a pervasive, policy-driven approach Provisioning Spin up Security at the Same Time as Other Resources Integrated Protection Dynamic Control Resource lifecycle Monitor Enforce Policy Automatically, Even When Workloads Move Decommission Remove Associated Rules and Policies Automatically

47 Cisco HyperFlex with Cisco ACI Diverse Workload Deployments at Enterprise Scale Automated, Application Centric Policy Model Flexible Application Service Policies EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG EPG Web App DB Web App EPG Web App DB App App EPG App App DB Web Web EPG Web Web Web Web App EPG Web App App DB DB EPG HYPERVISOR/ CONTAINER HX CONTROLLER HYPERVISOR/ CONTAINER HX CONTROLLER HYPERVISOR/ CONTAINER HX CONTROLLER HYPERVISOR/ CONTAINER HX CONTROLLER HYPERVISOR/ CONTAINER HX CONTROLLER HX DATA PLATFORM HX DATA Cisco PLATFORM HyperFlex Systems Simplified Capacity Expansion

48 Elastic Infrastructure Cisco ONE Enterprise Cloud Suite HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER Public Cloud Cisco HyperFlex Series Agile and Efficient Infrastructure Hyperconverged Hyperconverged Data Platform Data Platform Capacity Augmentation in AWS and Azure Leverage Public Cloud to Manage Peaks Back Up and Async DR Cisco HyperFlex Systems Adaptable Infrastructure Adaptive Scaling on Prem Adaptive Scaling to Public Cloud

49 Out of the Box Hybrid Cloud Cisco HyperFlex with Cisco Enterprise Cloud Suite and Cisco ACI IaaS Native Secure Cloud Segmentation Hybrid Cloud 1. Factory configured Cloud ready Infrastructure and Management SW 2. Complete infrastructure automation including HX Create/edit/delete data store Add capacity nodes / discs to existing node 3. Rich API set for PaaS integration 1. Default micro segmentation with best in class virtual services 2. HX controller created in secure zone w/ Distributed Firewall 3. Micro segmentation w/ ACI infrastructure 1. Capacity Augmentation with consistent policy to manage peaks Deploying enterprise workload in cloud 2. Back Up and Async DR

50 Cisco HX Data Platform Overview

51 Real Innovation Independent Scaling of Compute and Capacity Dynamic Data Distribution Continuous Data Optimisation Integrated Management and Data Services

52 Hyperconverged Scale Out and Distributed File System HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERCONVERGED HYPERCONVERGED DATA PLATFORM HYPERCONVERGED DATA PLATFORM HYPERCONVERGED DATA PLATFORM DATA PLATFORM Start With as Few as Three Nodes Hyperconverged Data Platform Installs in Minutes Add Servers, One or More at a Time Linearly Scale Compute, Storage Performance, and Capacity Distribute and Rebalance Data Across Servers Automatically Retire Older Servers

53 Software Modules Inside a Server HYPERVISOR CONTROLLER CONTROLLER CONTROLLER HYPERVISOR HYPERVISOR HYPERVISOR IO Visor CONTROLLER HYPERCONVERGED HYPERCONVERGED DATA PLATFORM HYPERVISOR HYPERCONVERGED DATA PLATFORM HYPERCONVERGED DATA PLATFORM DATA PLATFORM VAAI CONTROLLER HYPERVISOR CONTROLLER DATASTORE/VOLUME HDD HDD SDD SDD Controller Has Direct Access to Drives VAAI Plugin Offloads Snapshots and Clone Operations IO Visor Module Presents NFS to ESX and Stripes IO

54 Building on the Right Foundation Cisco HX Data Platform Unique Architecture Distributed File system Local FS Local FS Local FS Local FS Built From the Ground Up for Hyperconvergence Distributed Log- Structured File System Designed for Scale-out, Distributed Storage Advanced Data Services (Snapshots, Clones) and Data Optimisation (Inline Dedupe, Compression) Without Trade-offs Better Flash Endurance and Disk Performance Computing, Storage, Networking, and Hypervisor Integration Eliminates Management Silos

55 Independent Scaling of Compute and Capacity IOVisor IOVisor Scale Compute IOVisor IOVisor IOVisor IOVisor IOVisor IOVisor HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR HX Data Platform HX Data Platform CONTROLLER HYPERVISOR CONTROLLER Non- HyperFlex Hosts Can Connect to Storage with IOVisor Scale Capacity Within Nodes Add Nodes

56 HX DATA PLATFORM Independent Scaling of Compute (Blades) and Storage Capacity (Rack Servers) Connect Existing Blades for Compute Add More Blades for Scaling Compute Add HYPERCONVERGED Rack Servers B200 M4 Blades Start with HYPERCONVERGED Rack Servers (Compute + Storage Capacity)

57 Dynamic Data Distribution Systems built on conventional file systems write locally, then replicate, creating performance hotspots HX Data Platform stripes data across all nodes simultaneously, leveraging cache across all SSDs for fast writes Balanced space utilisation: no data migration required following a migration HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HX Data Platform

58 and Efficient Capacity and Network Utilisation HYPERVISOR HYPERVISOR HYPERVISOR CONTROLLER CONTROLLER CONTROLLER DATASTORE Balanced Space Utilisation No Data Migration on Migration Less Stress on Network

59 High Resiliency, Fast Recovery Platform can sustain simultaneous 2 node failure without data loss; replication factor is tunable If a node fails, the evacuated s re-attach with no data movement required Replacement node automatically configured via UCS Service Profile HX Data Platform automatically redistributes data to node HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HX Data Platform HX Data Platform

60 Non-Disruptive Operations HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER HYPERVISOR CONTROLLER DATASTORE DATASTORE File.vmdk A B C D E A 1 B 2 C 2 D 3 E 1 B 1 A 2 C 3 E 3 D 1 C 1 A 3 D 2 E 2 B 3 D 1 E 1 B 3 Stripe blocks of a file across servers Replicate one or two additional copies to other servers Handle entire server or disk failures Restore back to original number of copies Rebalance s and data post replacement Rolling software upgrades

61 Data Protection and High Availability Data Protected by Replication of Data Across the Cluster Nodes Replication Factor = 3 Replication Factor = 2 Default Is Replication Factor = 3 Every Block Is Written to 3 Different Nodes in the Cluster Higher Availability to Survive Multi-Point Failures; Higher Device Protection Reduces Raw Disk Capacity to 33% Access Policy Is Strict (Default); Can Be Modified Via CLI Set at Cluster Creation Time Every Block Is Written to Min of 2 Different Nodes in the Cluster Can Survive a Single Node/Device Failure More Usable Capacity; Uses 50% of Raw Disk Capacity Access Policy Is Lenient Write IO Replicate

62 Continuous Data Optimisation Log-Structured File System Yields More Efficient Data Optimisation BEFORE Inline Deduplication Inline Compression No Special Hardware No Performance Impact 20 30% space savings 30 50% space savings

63 Integrated Management and Data Services UCS Manager familiar to 50,000 customers WW Server and network deployment settings in preconfigured Service Profiles Instant provisioning, cloning and snapshotting of virtual machines from within vcenter No separate console, no learning curve Clones and snapshots are pointer-based and space-efficient Creation and deletion do not impact performance

64 Fast and Flexible Native Snapshots for Backups Pointer-based snapshots Space-efficient Fast creations and deletions Fine-grained or coarse-grained -level or folder-level VAAI-integrated Quiesced and crash-consistent Use vcenter Snapshot Manager Policy-based Schedules, retention period

65 Native Clones for Rapid Provisioning Pointer-Based Writeable Snapshots (Instantaneous Clones) VAAI integrated -level granularity Batch creation GUI Apply unique names Use customisation spec to apply IP Powerful tool to rapidly setup a large set of s using just VC (without scripting or View composer); Up to 256 clones in parallel per job Golden/Base can be a template, powered on or powered off

66 Management Built for Server Admin 100% vcenter-based Management Extends virtualisation management seamlessly No switching between management consoles View storage alerts/alarms alongside with ESX alerts/alarms Command line interface for automation

67 vcenter Plug-in: HX Data Platform Summary

68 vcenter Plug-in: Datastore Provisioning

69 Capacity Reporting in UI Capacity: Total formatted with RF Free: unused capacity Total Savings: Combined % savings of dedup+comp Compression: % recovered from compression Deduplication: % recovered from deduplication Provisioned Capacity: Amount of space allocated in DS Thin provisioned Used Capacity: Total of physical space consumed in DS Available Capacity: Provisioned minus Used

70 Cloud-Based Monitoring and Analytics Cloud-based auto-support Daily reports Periodic heartbeats Instant alerts on critical events Cluster visibility Support use cases Real-time monitoring for critical events Proactive and advanced warning Preliminary troubleshooting and investigation support cases Access currently limited to support

71 Infrastructure for Next Generation Hyperconvergence HCI Solutions Combine Computing, Networking, Storage for rapid deployment Elimination of management silos within and between data centres and remote sites simplify operations Unique capacity scaling and pricing models allow you to scale as you grow

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74 Q & A

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