Federator
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Federator provides a centralized way to manage and share DataSynapse distributed resources across business units, applications, processes, and environments. It creates a global shared resource pool from existing GridServer and FabricServer infrastructure, improving utilization and helping meet service level agreements. Federator supports sharing resources across products, versions, platforms and operating systems.
Federator
- 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