2. The Journey to The Private Cloud If you are virtualizing, you are on the journey. APPS Existing Enterprise Apps Oracle, SAP, SQL, Exchange, SharePoint Revenue-generating Next Generation Apps DW/BI (GreenPlum), OLTP, Collaboration File, Print, IT Ops
3. A butterfly flaps its wings… A storage hurricane is on the way in the shape of VDI What's driving VDI adoption? Desktops are aging – some are 4 to 5+ years old. Windows 7, Security & Desktop Disaster Recovery are some of the key drivers in the move to VDI architecture. Desktop Group Storage Group ?? Storage infrastructure is typically the # 1 reason VDI deployments have issues.
22. Private Cloud Storage “What Do Enterprises Ask For?” Accelerate, don’t get in the way Single Pane of Glass – all protocols, all tasks, all functions vCenter Integrated – 95% reduction in steps for common tasks Simple Infrastructure as efficient as VMware Most efficient storage. Up to 50% reduction in capacity Efficient Act as an extension of VMware itself Offload VMware tasks and replicas to storage with up to four times faster performance VMware Integrated
24. Solving the big barriers…. Step 1 = Lowering the cost of storage by… A LOT.
25. First – what about capacity? 1000 users, 10GB per desktop = 10TB – right? Wrong… Operating System View Composer = savings capacity requirements for OS storage 60:1 savings (non-persistent) 2:1 - 5:1 savings (persistent) Applications Thin App = 50:1 savings for app storage Assuming only 50% of apps can be virtualized Storage Dedupe/Compress + Archive = savings on user data storage 4:1 savings (being conservative)
26. Is the problem solved? 10:1 capacity reduction means all 1000 users can run on 1TB of storage – right? Wrong… 1TB of storage fits on one spindle How many hard drives are in 1000 desktops/laptops? How do we solve THAT problem?
27. The Case for Enterprise Flash Drives The Challenge Architecting a View Environment to size for BOTH capacity and performance at scale when leveraging Linked Clone or Snapshot Technology The Analysis 1000 x 10GB boot images = 1TB >80% capacity savings 8-10 iops per user ≈ 10,000 iops The Result at scale, data reduction technologies + EFD saves you $$$ How do you leverage EFD most efficiently?
28. HDD HDD HDD Lower Cost + User Experience View: 10x better View: 4x better 4.5Xbetter Benefit at scale FAST Cache +FAST Tiering With FAST Cache Without FAST Appserver Appserver Appserver 9 of 10 I/Os from FLASH 9 of 10 I/Os from Cache 1 of 5 I/Os from Cache Controller Controller Controller DRAM Cache DRAM Cache DRAM Cache FLASH FLASH 1 of 10 I/Os from disk 1 of 10 I/Os from disk 4 of 5 I/Os from disk FLASH View 4.5 + FAST = Lower Cost + Better Experience
36. Complete Security Solution for VMware View RSA enVision for security monitoring and reporting RSA DLP for protection of data Ionix SCM for security config and patch management VMware Infrastructure RSA SecurID for remote authentication Active Directory RSA SecurID for ESX Service Console and vMA OfflineLaptop VMwarevCenter VMwareView Manager RSA enVision Log Collector For VMware vCenter Clients
37. Integrated Management Integrated Security End-to-End Information Infrastructure for Vmware View DeDup w/ Compression Five 9’s Availability Automated Storage Tiering Virtual Provisioning Integrated Backup Avamar
38. Putting our money where our mouth is… VMware View 4.5 + EMC FAST Suite + Joint V/E and VCE Reference Architectures + Consulting Services as low as $38/user = = Zero Risk
40. New Documentation White Paper: Cost-Effective EMC Unified Storage Solutions for VMware View 4.5 $38 per Desktop Reference Architecture (2250 desktops) Reference Architecture: EMC Infrastructure for Virtual Desktops (Fibre Channel) Applied Best Practices: Deploying Microsoft Windows 7 Virtual Desktops with VMware View EMC Consulting: Next-Generation and Virtual Desktop Infrastructure
Hinweis der Redaktion
All Phases
Note to Presenter: View in Slide Show mode for animation.While FAST provides automated and efficient tiering over time, FAST Cache leverages enterprise FLASH drives to extend existing cache capacities to automatically absorb unpredicted spikes in application workloads, and thereby speeds system and application performance for data that is not already at the FLASH tier.Where FAST with Sub-LUN Tiering works at a very granular level of 1 GB chucks, FAST Cache takes this concept one step further by working at the 64K I/O level. By doing so, FAST Cache acts more like dynamic, but persistent, controller cache. By extending controller cache with FLASH, the cache-hit ratio is dramatically improved. As a result, the new goal for most application workloads is to strive for a 90 to 95 percent cache hit rate. This is achievable because the size of FLASH-based cache is up to 64-times larger than the controller’s original DRAM (dynamic random access memory)cache.Cache hit rates will typically go from one out of five I/Os served from cache to nine out of 10 I/Os served from cache, a 4.5-times improvement.FAST Cache may be added to existing LUN configurations and acts as a system-wide resource. With FAST Cache, you now have multi-terabyte, read-write, non-volatile cache—an absolute first for storage platforms in the midtier market. The fact that data is written to enterprise FLASH drives means that when the system returns from a power failure or planned outage, the cache is already warmed up and service levels can readily resume at the point they were before the disruption.The size of FAST Cache is more than ample to catch transitory spikes in I/O demand. Should large amounts of FLASH be needed to meet service level agreements, it is important to know that FAST Cache works in unison with FAST Sub-LUN Tiering and that the two technologies complement each other fully.Note to Presenter: EMC’s FAST Cache works for both reads and writes. Competitors, like NetApp, frequently only implement FLASH as proprietary read-only schemes.