Transform Your SAN with Transparent Application Acceleration

Transcription

1 Transform Your SAN with Transparent Application Acceleration Enterprise Caching Forum Cameron T Brett QLogic Corporation Flash Memory Summit 2013 Santa Clara, CA 1

2 Valued Acceleration Approaches Acceleration in server Flash as cache or storage 56% Acceleration in hybrid flash+disk storage array 53% Acceleration in network 50% Acceleration for Fibre Channel 38% Acceleration in software - agent in hypervisor or S to tier to fast disk or SSD 31% Acceleration in all-flash storage array 24% Acceleration for NFS 20% Acceleration for iscsi 18% Acceleration for CIFS 12% Source: Taneja Group,

3 Flash Storage/Caching Solutions for the Data Center Servers Appliances Array QLogic FabricCache (cache area network) Caching SAN Adapter Fusion-io/IN (storage) Violin (storage) IBM TMS Pure Storage (storage) EMC Extreme I (storage) Whiptail (storage) Storage Appliance Array Caching Nutanix server+storage Fusion-io + ioturbine LSI Nytro + Cachecade EMC vfcache/xtremsf Emulex+FI Seagate/Virident - vfas Velobit Cachebox (ex-stec) STEC - Enhance I Samsung - Nvelo Intel Nevex Scale out (no SAN) PCIe card Caching SW Proximal Data - AutoCache (hypervisor) SanDisk FlashSoft (file system caching) NetApp FlashAccel ( Mercury ) Pernix Data Caching Appliance GridIron - TurboCharger (caching) Blue Coat CacheFlow (caching) DataRAM XcelaSAN (caching) EM specific NetApp HP Dell/RNA EMC Vmware ESXi-only clustering CZ - SANRAD VMware vflash

4 Where to Use Flash? Array Networks Servers PRs Easy to manage; shared Simple to implement Improved I/ performance PRs Centralized cache Shared cache by all servers Can cache network storage PRs Critical data close to application and workload Improved storage performance and utilization CNs Distance from server processor (latency) Limitations of storage array controllers Potential bottleneck CNs Single point of failure Appliances can be expensive Potential bottleneck CNs Complexity & dependencies Cached data is captive in server DAS SSD Clusters not supported Storage cache / tier Caching appliance Server cache

5 Performance Bottleneck on Storage Array SAN Ports Storage-based Cache I/ Storage FC array Add devices to scale cache I/ Flashbased device I/ But, storage ports have potential congestion from increased traffic load Spinning hard drives I/ Server ports have bandwidth available

6 Flash-based Cache in Network Caching Appliance Server ports have bandwidth available I/ Network-based Cache Add devices to scale cache Storage FC Array I/ I/ Flashbased device I/ But, appliance storage ports have congestion potential from increased traffic load Spinning hard drives I/

7 Legacy compute architecture Compute to Disk Connection (physical) Workload to Storage Binding (logical) Legacy hardware environment static physical hardware static workload assignment Legacy application environment workload tied to storage Legacy hardware environment static physical hardware static workload assignment Legacy application environment workload tied to specific storage (LUNs)

8 Simple: Server to SAN with Standard SSDs/Flash Compute to Disk Connection (physical) Workload to Storage Binding Yes! Workload and Storage bound to single server Array resources are shared LUNs are not shared SAN enables sharing of storage resources Centralized provisioning and management Legacy application environment LUNs not shared

9 Multi-Server Virtualized: Server Cluster with SSDs/flash Compute to Disk Connection (physical) Server Cluster Workload to Storage Binding No! Cache is captive in the original server. * Virtualized hardware environment elastic, scalable physical hardware dynamic workload assignment Server Virtualization: Scales compute resources (CPU, Memory) Workload is now mobile Server Cluster environment LUNs not shared * Empty cache at migration

10 Caching SAN Adapter Data is placed closest to the application Cache is transparent to hypervisor and guest applications Shared cache addressable by all servers No change to switches or storage arrays Cache fabric

11 Multi-Server Virtualized: Caching SAN Adapter Compute to Disk Connection (physical) Server Cluster Workload to Storage Binding Cache is shared over the SAN between fabric devices Server Virtualization: Scales compute resources (CPU, Memory) Workload is now mobile Virtualized hardware environment elastic, scalable physical hardware dynamic workload assignment Server Cluster environment LUNs not shared

12 App Cluster Application/Server Cluster: with Standard SSDs/flash Compute to Disk Connection (physical) Workload to Storage Binding No. Cache is not coherent between devices Application Clustering: Scales application resources Multiple Cloned server nodes All nodes require access to the same LUN(s) Application Cluster file system must manage the LUN sharing SAN enables sharing of storage resources Centralized provisioning and management Clustered application environment LUNs must be shared

13 App Cluster Application/Cluster Server: Caching SAN Adapter Compute to Disk Connection (physical) Workload to Storage Binding Yes. Cache is shared over the SAN between caching adapters Application Clustering: Scales application resources Multiple Cloned server nodes All nodes require access to same LUN(s) SAN enables sharing of storage resources Centralized provisioning and management Clustered application environment LUNs must be shared

14 Virtualized and Clustered: Caching SAN Adapter App Cluster Compute to Disk Connection Workload to Storage Binding Server Cluster Yes. Cache is shared over the SAN between caching adapters Application Clustering: Scales application resources Multiple Cloned server nodes All nodes require access to same LUN(s) SAN enables sharing of storage resources Centralized provisioning and management Server Virtualization: Scales compute resources (CPU, Memory) Workload is now mobile Clustered application environment LUNs must be shared

15 Enterprise Acceleration Requirements Must be simple to deploy and manage minimal SW footprint with drivers, caching SW in host Able to accelerate enterprise application software including cluster and virtualized Cache must be shared coherent, no duplication Non-disruptive to existing network/san, policies, management tools Proven, stable technology can t take chances with critical data Flash Memory Summit 2013 Santa Clara, CA 15

16 In Closing Many implementations available to accelerate Move to server-based solutions Caching SAN adapter is a new type of solution for the enterprise Wide variety solutions available for simple applications More complex applications require more capable solution Keep it simple, non-disruptive, cost effective and proven Flash Memory Summit 2013 Santa Clara, CA 16