Federator
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Transcript

  • 1. Federator Product Overview
  • 2. Segmented Grids – Current State By Business Unit By Application By Process Prime Brokerage Equities Trading Fixed Income Risk Pricing Trading Arbitrage Online Development Testing Production DR/HA
  • 3. Impact of Segmented Grids
    • Growth – increasing workloads requires infrastructure
    • Costs – underutilized infrastructure drives up costs
    • SLAs – meeting SLAs is limited by infrastructure footprint
    • Development Process – dedicated test and development infrastructure is limiting
    Lots of Grids – Difficult to Share
  • 4.
    • Foundation of Global Grid –
      • All of the DataSynapse distributed engine resources can be shared between environments
    • Broad support for sharing resources –
      • Across products – FabricServer and GridServer
      • Across versions – GS 5.0 SP3, GS 4.2 U12, FS 2.6
      • Across Platforms and Operating Systems
    • Opens up opportunities – helps manage growth
      • Work that potentially was left off the grid, can now run with existing resources
    • Improves SLA Performance –
      • Time based allocation to ensure that critical jobs meet SLAS
    Federator Centralizes Control of DataSynapse Resources
  • 5. From Federated to Centralized Management One Shared Resource Pool Federator GridServer 4.2 (U16) FabricServer 2.5 FabricServer 3.0 GridServer 5 (SP2)
  • 6. Federator 1.5 In the Cloud Grid Client Federator GridServer Manager
    • Federator creates:
      • Virtual Resource Manager - basic information necessary to interact with EC2 (e.g., AWS login information)
      • Virtual Resource Groups - more dynamic configuration data, information specified in VRG closely tied to how customers will actually use virtual nodes
    On Premise
  • 7. Federator Summary
    • Foundation of the Global Grid –
      • All of the DataSynapse distributed engine resources can be shared between environments
    • Supports a broad ability to share resources –
      • Across products - FabricServer and GridServer
      • Across versions – GS 5.0 SP3, GS 4.2 U12, FS 2.6
      • Across Platforms and Operating Systems
    • Opens up opportunities – helps manage growth
      • Work that potentially was left off the grid, because there was no headroom, can now be slotted in with existing resources
    • Improves SLA Performance –
      • Time based allocation to ensure that critical jobs meet SLAS
  • 8. Sharing DataSynapse Distributed Resources with Federator