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Software Defined Infrastructure


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Imagine an entire IT infrastructure controlled not by hands and hardware, but by software. One in which application workloads such as big data, analytics, simulation and design are serviced automatically by the most appropriate resource, whether running locally or in the cloud. A Software Defined Infrastructure enables your organization to deliver IT services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. It is the foundation for a fully integrated software defined environment, optimizing your compute, storage and networking infrastructure so you can quickly adapt to changing business requirements. A comprehensive portfolio of management tools dynamically manage workloads and data, transforming a static IT infrastructure into a workload- , resource- and data-aware environment.

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Software Defined Infrastructure

  1. 1. © 2015 IBM Corporation Software Defined Infrastructure from IBM Jay Muelhoefer Director, Software Defined Solutions
  2. 2. © 2015 IBM Corporation2 Innovation and Design • Companies are being forced to change the way they think about innovation. • They are being challenged to: – Deliver designs better, faster, cheaper – Design high quality products across an ecosystem of partners with fewer designers – Speed innovation and time to market despite flat or declining budgets for Engineering IT
  3. 3. © 2015 IBM Corporation3 What do my users want and need to do next? Key trends Demand Supply Business Agility Efficiency What New Technologies can I deploy? How do I support shifting priorities? How do I make the best use of what I have?
  4. 4. © 2015 IBM Corporation4 The impact on IT • More projects – Working on multiple releases concurrently – Competing priorities – Increased volume of workload • More demands on infrastructure – More servers – Server density – Storage challenges – Filer & Network contention – Facilities (Power, Cooling) • Less time – Working on multiple releases concurrently – Schedules are often fixed before the project even starts
  5. 5. © 2015 IBM Corporation5 IBM Software Defined Infrastructure Addresses Inefficiencies Transforms disparate infrastructure silos into an elastic, shared resource pool for scale-out and cloud applications, available on-premise or as a hybrid cloud Accelerate simulation, design and research application throughput by up to 150x Dramatically reduce IT costs with 4x utilization increase (80% plus) Aggregate distributed resources into one, shared global compute and data resource pool Connect many groups and apps to the resource pool with optimized workload engines for performance at scale Dynamically manage resource allocation and elastically scale according to fine grained business policies Pool Connect Optimize
  6. 6. © 2015 IBM Corporation6 IBM Software Defined Infrastructure IBM Platform Computing Workload Engines Resource Management Platform Symphony (MapReduce) Platform Symphony Platform Application Service Controller Platform LSF High Performance Analytics (Low Latency Parallel) Hadoop / Big Data Application Frameworks (Long Running Services) High Performance Computing (Batch, Serial, MPI, Workflow) Example Applications Homegrown Homegrown Scheduling & Acceleration With Infrastructure Sharing
  7. 7. © 2015 IBM Corporation7 IBM Software Defined Infrastructure Infrastructure Management Data & Storage Management On-premise, On-cloud, Hybrid Infrastructure (heterogeneous distributed computing and storage environment) IBM Platform Computing Platform LSFPlatform Symphony Platform Application Service Controller Platform Symphony (MapReduce) Other Management Software Workload Engines Resource Management High Performance Computing (Batch, Serial, MPI, Workflow) High Performance Analytics (Low Latency Parallel) Application Frameworks (Long Running Services) Hadoop / Big Data Other Commercial Applications IBM Spectrum Storage IBM Platform Cluster Manager IBM Cloud Manager with OpenStack x86 Linux on zDiskFlash Tape Support and Services Bare Metal Provisioning Virtual Machine Provisioning
  8. 8. © 2015 IBM Corporation8 Agility Control Efficiency Get It Your Way: Software, Service or Appliance Proven Technology, Open Standards, Modular Adoption Announcing IBM Spectrum Storage Solutions Insight Spectrum Control™ Governance Spectrum Protect™ Speed Spectrum Accelerate™ Elasticity Spectrum Scale™ Utilization Spectrum Virtualize™ Placement Spectrum Archive™ > $ 1 Billion Investment 8
  9. 9. © 2015 IBM Corporation9 The benefits: balancing organizational needs • IT managers: reduce costs while maintaining service levels – Increased utilization and minimized over provisioning – Simplified management of large shared resource pools (fewer silos with shared services) – Easily integrate and make optimal use of new technology – Fewer failures / higher availability • End users & business unit managers: gain competitive advantage – Faster time to market – Better design, simulation and analytics – Increased visibility for better decision making • CIO/CFO/Directors: increase organizational agility while managing costs – Less cost to accomplish the same task (i.e. consolidation of people, hardware, power, space, application licenses) – Redeploy resources / investment to greater value projects – Reduce IT growth rate and defer capital expenses 9
  10. 10. © 2015 IBM Corporation10 Wellcome Trust Sanger Institute: Using analytics to optimize high performance computing capacity across 15,000 cores Problem • The Wellcome Trust Sanger Institute, a non-profit research organization based in Hinxton, England, wanted to enable its research teams to generate results rapidly— helping them to meet publication deadlines for scientific journals and secure funding for future projects. To achieve this goal, the Institute needed to optimize the compute capacity of its HPC environment. Solution • The Institute selected IBM® Platform™ Analytics software, and deployed the solution on top of its existing IBM Platform LSF® policy-based workload scheduler. The organization then designed a series of dashboards, enabling researchers and administrators to see the utilization of the cluster according to criteria such as job, job submitter and memory utilization in near real time. Outcome • Ensures each job runs on the optimal compute node – increasing throughput across the HPC environment. • Enables researchers to understand the factors that reduce processing efficiency, and take action to improve performance. • Strengthens the business case for future hardware investment by creating a clear record of current compute utilization. Industry: Research Products: IBM Platform™ LSF® IBM Platform Analytics Overview Profile “Analytics is one of the most significant IT investments that we have made. We needed the IBM solution to deliver the HPC utilization required to help our research teams generate results rapidly, meet their publication deadlines and, ultimately, secure new funding.” Dr. Peter Clapham Principal Systems Administrator, Informatics Systems Group, Wellcome Trust Sanger Institute
  11. 11. © 2015 IBM Corporation11 Thank You