Dimension Data Enabling the Journey to the Cloud

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1 Dimension Data Enabling the Journey to the Cloud Grant Morgan General Manager: Cloud 14 August 2013

2 Client adoption: What our clients were telling us The move to cloud services is a journey over time and all is not equal! 4 Hybrid cloud model preference 2 3 Building private cloud architectures Leverage of public cloud services 1 Emergence of public cloud models Cloud enablement projects Key findings: The cloud model is a new consumption model of technology and services The business benefits of cloud models are compelling in many ways Adoption will need to be structured and support existing business systems Most likely end state: hybrid model

3 Our Cloud Services strategy: Aligned to client requirements Our objective: An offering at every stage of a client s adoption journey 4 Hybrid cloud model preference 2 3 Building private cloud architectures Leverage of public cloud services 1 Emergence of public cloud models Cloud enablement projects Dimension Data cloud tenets: Provide an offering at every stage of client development Every Line of Business is included Every Line of Business to extend its strategy to include Cloud Services

4 We have built our expertise in cloud Internet Solutions Networks Data centres Managed hosting Iaas (DC) Voice services LoB focus Consulting Infrastructure virtualisation Public cloud services Dimension Data (Asia) 6 Tier 3 data centres Managed hosting Cloud service roadmap NTT Group assets NTTC global MPLS NTTC data centres NTT data We are ready to accelerate your journey! OpSource (US) IT Outsourcing (MEA) BlueFire (AU) Managed hosting IaaS (DC) Managed apps Managed hosting Cloud hosting IaaS (DC) Scalable cloud architecture System Integration and Services Comms tower Hosting Applications Public cloud SaaS 1 million BPOS seats Cloud integration and federation Copyright Dimension Data 14 August

5 Consistent Cloud Instances Globally for Data Sovereignty Copyright Dimension Data 14 August

6 Dimension Data cloud credentials Differentiated cloud technology Strong performance guarantees Experts in both cloud and managed services Global Coverage Solution for both enterprise and service providers Gartner s 2012 Magic Quadrant for Cloud Infrastructure as a Service (IaaS) Copyright Dimension Data 14 August

7 Pain or opportunity makes people move to cloud

8 Pay for what you need Burstability every day Almost every application has a sine wave of usage. By modifying the available capacity throughout the day you can reduce costs by as much as 40%. Copyright Dimension Data 14 August

9 Mattel saved 30% by optmising testing environment Saved 30% Customisation of servers on the fly Load testing On-demand scalability for production site Copyright Dimension Data 14 August

10 Pay for what you need Burstability the big event Seasonal bursts tax season holiday e-commerce year-end close One-time bursts special events flash crowds big stories Copyright Dimension Data 14 August

11 Pay for what you need Don t pay until you start When you needed to order the equipment Traditional project equipment purchase date Actual date production equipment was really required due to project delays Six months of depreciation alone can kill the cost on a project Copyright Dimension Data 14 August

12 Addressing Dis - Synergy 4500 Users Sale of business unit 3500 Users +30% in IT cost per user Copyright Dimension Data 14 August

13 Case study: ClearBenefits improves reliability and reduces cost; Saves 90% with cloud-based DR Saved 90% Resource reallocation Cloud-based disaster recovery Improved performance Copyright Dimension Data 14 August

14 Save over time: can reduce cost with programming As you develop new code you can immediately reduce costs. One client saved 30% on its monthly bill by making a simple change in network discovery. As you develop new code you can immediately reduce costs. One client chopped 30% off their monthly bill by making a simple change in network discovery. Copyright Dimension Data 14 August

15 Better operations: size infrastructure on the fly Copyright Dimension Data 14 August

16 Case study: Thermo Fisher launches new application to address new markets Launched new service Reached new market segment Faster innovation and analysis Copyright Dimension Data 14 August

17 Save over time: immediately take price breaks Your costs go down immediately as prices go down! Copyright Dimension Data 14 August

18 MCP with Tiered Storage - High Performance, Standard and Economy Dimension Data Managed Cloud Platform Hosted Private CaaS Dimension Data CloudControl Public Private Tier 1 High Performance Internet Type 600 GB 15k Drives Border Router DOS Prevention Secure Access Router Usage Cloud applications that use on-line active files, DB tables, log, web and user files VPN Tier 2 Standard Firewall Type 2TB 7200 RPM Load Balancers Core Switching IDS Monitoring Usage Cloud applications that use VM files, online videos, snapshots, OS images Tier 3 Economy Workloads Workload Database Dedicated servers Virtualized servers High Standard performance Tiered Storage Economy Type Usage 3TB 7200 RPM Cloud applications that use off-line master backup, long term retention, DR Copyright Dimension Data 14 August

19 Backed by Industry Leading Technology Backed by Industry Leading Technology Utilizes the EMC VNX Series hardware Optimized for VMware All tiers powered by a Hybrid Disk configuration Contains Nearline SAS disks in a RAID configuration Standard and High Performance tiers Fronted by an extensive "Fast Cache" Solid-State Disk infrastructure Ensures highest levels of transactional performance with increased bandwidth and low latency Copyright Dimension Data 14 August

20 Deploying Tiered Storage Using the UI to Deploy Tiered Storage All Cloud Servers have an OS Storage disk and up to 13 additional local disks On deployment, all disks associated with a given Cloud Server will be deployed on the "Standard" disk infrastructure Once a server is deployed, customers can change the disk speed of an individual disk from Standard to a different disk speed The full functionality of Tiered Storage is available to clients using the API as well! The clients summary and detailed usage reports have been updated to include all three tiers of storage where available Copyright Dimension Data 14 August

21 Tolly Report key findings The Dimension Data cloud servers showed consistently high performance across the range of resources benchmarked. Tolly Report, July 2013 Copyright Dimension Data 14 August

22 Benchmark completion time (seconds) Tolly CPU Test fast processing Linux Cloud Server CPU Performance C-Ray 1.1 Benchmark (as reported by Phoronix Test Suite 3.6.1) Lower Numbers Are Better vcpu 2 vcpus 4 vcpus Small Medium Large 144 Notes: For Amazon Web Services, the number shown is the number of EC2 units. Neither IBM nor Rackspace offers a 1vCPU solution. IBM running RHEL 6.3, all others running Ubuntu 10.04LTS Server. All systems were 64-bit. Source: Tolly, May 2013 Dimension Data Amazon Web Services IBM SmartCloud Rackspace System Category Copyright Dimension Data 14 August

23 Memory Operations per second (average) Tolly RAM Test faster memory throughput 20,000 Linux Cloud Server System Memory Performance RAMSpeed 3.5 Benchmark (as reported by Phoronix Test Suite 3.6.1) 18,542 15,000 4 GB RAM 8 GB RAM 10,000 2 GB RAM 10,831 9,985 6,522 8,772 7,818 5, ,110 2,523 3,200 1,225 Small Medium Large Dimension Data Amazon Web Services IBM SmartCloud Rackspace System Category Note: Neither IBM nor Rackspace offers a 1 vcpu solution. IBM running RHEL 6.3, all others running Ubuntu 10.04LTS Server. All systems were 64-bit. Source: Tolly, May 2013 Copyright Dimension Data 14 August

24 Transactions per second (average) Tolly Storage Test faster file access speed 4,000 3,000 2,000 1vCPU / 2 GB RAM 1,448 Linux Cloud Server Local File Performance PostMark 1.51 Benchmark (as reported by Phoronix Test Suite 3.6.1) 3,472 3,472 2vCPU / 4 GB RAM 1,278 1,342 4 vcpu / 8 GB RAM 1, Small Medium Large Dimension Data Amazon Web Services IBM SmartCloud Rackspace Note: Neither IBM nor Rackspace offers a 1 vcpu solution. Default file systems used: ext4 for Dimension Data, ext3 for the other solutions. IBM running RHEL 6.3, all others running Ubuntu 10.04LTS Server. All systems were 64-bit. Source: Tolly, May 2013 Copyright Dimension Data 14 August

25 Bidirectional throughput per second (average) Tolly NetworkTest greater network throughput 5,000 Linux Cloud Server Bidirectional Local Area Network Performance iperf Benchmark (as reported by iperf 2.0.4) 4,463 4,000 3,000 2,000 1, vCPU / 2vCPU / 4 vcpu / 2 GB RAM 3,260 4 GB RAM 8 GB RAM 2,252 1,834 1,864 1,052 1, Small Medium Large Dimension Data Amazon Web Services IBM SmartCloud Rackspace Note: Neither IBM nor Rackspace offers a 1 vcpu solution. For this test, the Rackspace small machine has 2vCPUs and 2GB RAM. All tests run with a large system as a partner across low-latency, internal network. Throughput can exceed GbE because of 10GbE back-end trunking. IBM running RHEL 6.3, all others running Ubuntu 10.04LTS Server. All systems were 64-bit. Source: Tolly, May 2013 Copyright Dimension Data 14 August

26 How do our clients benefit? Run mission-critical applications High Performance Workloads SaaS and Web Applications Enterprise Resource Planning (ERP) Unified Communications Online gaming and Online Advertising Networks Lower cost Lower risk Accelerate Adoption of Cloud Proofpoint: Glassbeam saved 50% by migrating into our cloud Proofpoint: ClearBenefits saved 90% by using our cloud for DR Copyright Dimension Data 14 August

27 Cloud Adoption Cycle: A Practicle View Our objective: 5 An offering at every stage of a client s adoption journey 4 Public Cloud: IaaS Private Cloud 3 Private Cloud: SaaS 2 Managed Hosting 1 Web Hosting, Internet clean pipe, colocation / Outsourcing Emergence of multitenant technology

28 Private Cloud Services for Microsoft Exchange, SharePoint and Lync Filling the Gap! On-Premise Own and Operate Full Control Capex Intensive Highly Customisable Highly Integrated Less Agile SLAs Difficult Operations Intensive? On-Prem and Hosted Multitenant hardware Opex Private Cloud Managed Service Single tenanted apps Customisation ability Integration ability SLAs and? Support Public Cloud Managed Service Less Control Opex Standard Service Less Integration Agile Fixed SLA Operations in the Service Copyright Dimension Data 14 August

29 Low Hanging Fruit Use Cases for Corporate IaaS Test and Dev Project based work Agile Web Large ecommerce websites Mobile apps 3 tier corporate apps Web, app, DB Transformational projects e.g. rewrite of insurance app with Web browser access, SAP Innovate SaaS services Applications for remote users vs campus users Mid size customers putting everything into cloud Copyright Dimension Data 14 August

30 Thank you

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