OnMetal The Future of Hybrid Cloud. Adam McCarthy Director & General Manager Rackspace Asia
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1 OnMetal The Future of Hybrid Cloud Adam McCarthy Director & General Manager Rackspace Asia
2 THE NUMBERS BEHIND THE NUMBERS A PROVEN TRACK RECORD OF SUCCESS
3 Rackspace Hybrid Portfolio DEVELOPERT OOLS Auto scaling Redis Cloud Queues Mailgun Airbrake Deployment Service BUSINESS APPLICATIONS Oracle e-com SharePoint Adobe EM COMPUTE STORAGE & DATA Cloud Servers Powered by OPENSTACK Cloud Sites (PaaS) Cloud Files + CDN Powered by OPENSTACK Cloud Databases Powered by OPENSTACK Managed Dedicated Servers Managed Virtualization Powered by VMware Cloud Block Storage Powered by OPENSTACK Big Data Platforms Managed Colocation Rackspace Private Cloud Powered by OPENSTACK Managed Storage ObjectRocket Powered by mongodb RackConnect Monitoring + Dashboard Load Balancers Networks Backup/Resiliency DNS Service Security Services PLATFORM & NETWORKING 3
4 4
5 Hybrid Clouds Are Delivering Real Results Today We achieved four times the efficiency for half the cost. You can do the math. Jim O Neill, CIO Rackspace hosted applications will include the public-facing ecommerce site as well as the online payment gateway, corporate and back-office systems, and the company intranet linked through RackConnect. Colin Reed, IT Director For us, a hybrid cloud is the best of both worlds. It delivers on its promise of improved performance and scalability of the cloud while empowering us to keep our high-performance apps that need to scale vertically on managed hardware. Matt McClure, Vice President, Chief Architect 5
6 Newer Technologies, Same Problems 6
7 It s a Nice Neighbourhood Networks & physical machines shared with other tenants, can t rely on consistency of performance in network, storage and compute. Response time of each node is not constant, it is a range of values, often measured experimentally - Markovian Some nodes become unavailable/unresponsive, your model breaks Overall response time becomes dependent on probability equations 7
8 Diminishing Returns at Scale 8
9 OnMetal Bare Metal-as-a-Service OnMetal Memory Workloads: Caching Search indexes In-memory analytics OnMetal I/O Workloads: Online Transaction Processing NoSQL databases SQL databases OnMetal Compute Workloads: Web servers Application servers Queue processing Load balancers Intel Xeon E v2 2.6Ghz 2x6 Core 512GB RAM Boot device (32GB SATADOM) Intel Xeon E v2 2.8 Ghz; 2x10 Core 128GB RAM Boot device (32GB SATADOM); 2x LSI Nytro WarpDrive BLP (1.6TB) for 3.2 TB of high-i/o storage Intel Xeon E v2 2.8Ghz 1x10 Core 32GB RAM Boot device (32GB SATADOM) 9
10 Why this matters BUSINESS Accessed via API, like public cloud. Utility service, charged by the minute - much simpler and more powerful than VMs/public cloud. Built on OpenStack software and Open Compute hardware. The API for OnMetal is the OpenStack Nova API. It s familiar to users of any OpenStack public cloud. Users don t have to worry about vendor lock-in. OnMetal servers are customized for specific workloads. No hypervisor, and no virtualization tax. No sharing of metal with any other user. TECHNICAL All solid-state, no moving parts. Less heat + Less vibration = higher MTBF. Optimized for specific workloads. We have servers customized for databases, for lowlatency caching, and for handling web requests. Our database server, for example, offers 3.2TB of PCIe flash storage, 128GB of RAM, and more than 200,000 IOPS. Specializing the gear not only boosts performance but helps keep costs under control. We believe the network should have consistently low latency. OnMetal cabinets use 10-gigabit networking and minimal network over-provisioning. 10
11 THANK YOU RACKSPACE HOSTING 9/F, Cambridge House, Taikoo Place, 979 King s Road Quarry Bay, Hong Kong Sales: Support
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