Hosting Performance-Sensitive Applications in the Cloud

Transcription

1 Hosting Performance-Sensitive Applications in the Cloud Felix Xavier Founder & CTO CloudByte Inc.

2 The Cloud Opportunity Before: Cloud as Backup Now: Cloud hosting enterprise apps Hosting enterprise apps on private/public cloud is a matter of when will we deploy and not should we deploy Significant business opportunity for cloud service providers in hosting performance-sensitive apps like Oracle, SAP, OLTP, ERP etc. 2

3 Limitations of Legacy Solutions Monolithic controller architecture Noisy neighbors contending for shared resources Requires dedicated silos to deliver performance within shared storage Unviable on a large scale Hardware-defined performance Cannot automate performance provisioning through software Requires spindle configuration and constant monitoring Misfit for fast deployment and reconfiguration needs 3

4 Inefficient Workarounds Traditional SAN/NAS arrays Designed for just capacity control, small number of stable workloads Requires dedicated storage silos to deliver performance Upgrading to faster spindles/controllers, dedicated silos only results in increased costs and management complexity Advanced SAN/NAS arrays Deliver Control of Service (CoS), not Quality of Service (QoS) Admins can set limited priorities at a superficial level Still requires overprovisioning and constant monitoring Scale-out arrays Easier management of multiple storage nodes Deliver performance by just overprovisioning hardware 4

5 Storage Requirements for Cloud To host performance-sensitive apps in the cloud, storage solutions should be able to deliver: Predictable performance (guaranteed QoS) to every application within a shared storage platform Demands multi-tenant storage controller! On-demand storage performance (IOPS, throughput, latency) Demands software-defined storage! 5

6 Multi-Tenancy Evolution Across the Stack: Application Server Network Storage The Stack 6

7 Multi-Tenancy Evolution First to be multi-tenant: Application layer (SaaS) The Stack 7

8 Multi-Tenancy Evolution Next to be multi-tenant: Network (VLAN) The Stack 8

9 Multi-Tenancy Evolution The Big Bang Server Multi-Tenancy The Stack 9

10 Multi-Tenancy in Storage? Storage multi-tenancy The final layer left The Stack 10

11 Multi-tenant Storage Needs Security and isolation Tailored IOPS, 300 MBps 1100 IOPS 500 MBps 2000 IOPS 5000 IOPS <4ms latency IOPS throughput, latency Delegated administration, backup and management Synchronous Backup Backup every min Backup every hr Backup Weekly 11

12 Multi-tenant Controller Architecture Multi-tenant controller enables guaranteed performance and cloud class security to every application within a shared storage platform 12

13 Software-defined storage Software-defined storage abstracts performance (IOPS, throughput, latency) from the hardware Abstracts CPU RAM Storage and networking ports Abstracts Number of ports Traffic shaping (QoS) Abstracts IOPS Throughput Latency Capacity 13

14 Software-defined storage Every endpoint (LUN) within a shared storage platform can now be defined beyond capacity, in terms of IOPS, throughput, latency Enable fast deployment and re-configuration options with guaranteed QoS to every application within shared storage 14

15 Thank you Q & A 15