1
FLASH 1 ST THE STORAGE STRATEGY FOR THE NEXT DECADE Richard Gordon EMEA FLASH Business Development 2
Information Tipping Point Ahead The Future Will Be Nothing Like The Past 140,000 120,000 100,000 80,000 60,000 40,000 110X MORE DATA EACH DECADE A 10TB Data Center In 2001 Growing At 60% Y/Y Will Be A 120 PetabyteData We Center By 2021, - But IT Budgets Remain Flat are Here Data Automation 20,000 Budget 0 2000 2003 2006 2009 2012 2015 2018 2021 3
Most Data Will Be Stone Cold While We Increasingly Can t Erase Data, We Can Store It Better 37.5 TB 4,123 TB 110 X 2011 2021 Hot Warm Cold Evolution Of 50 TBs In 10 Years 4
IO Skew Random Slice Activity 1000 800 600 400 200 0 1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96 101 1000 800 600 400 200 0 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 All 80% Slice Activity 100% Randomized Slice Activity Stack Ranked According To Access Frequency Of A Given Slice 51 Slices Of 101 Has 80% Of IO 5
IO Skew Random Slice Activity Weighted By 3% Cooling Rate 1000 800 600 400 200 0 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 All "80%" Stack Ranked Slice Map Weighted By A 3% Cooling Rate Now Only 31 Slices Of 101 Total Has 80% Of IO 6
Why Disk Aggregation Is Losing Steam Moore s Law Drives The Escalating Need For IO Transactions The Number Of Drives Needed Per Host Over Time? We are Here 23 36 58 93 148 237 378 603 962 1,536 2,451 3,912 6,243 9,964 64,652 40,509 25,381 15,903 103,184 164,682 262,833 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 7
The CPU To HDD Performance Gap CPU Improves 100 Times Every Decade Disk Speed Hasn t MOORE S LAW: 100X per DECADE CPU Continue To Improve While Disk Drive Performance Remains Flat. As A Result, Applications Will Suffer More And More Unless We Rapidly Move To FLASH. 100 times improved FLASH 10,000 times improved 2000 2010 2020 8
Today s Compute Hierarchy Right Data. Right Place. Right Cost. FAST Cache FAST Virtual Pools ps ns us ms Multi-core/Socket CPUs pslatency Ddr4-4.266ghz RAM 7 To 200ns Latency 200GB FLASH SSDs 20 To 320 us Latency 3TB HDDs 7 To 34 mslatency 9
Basic Data Decay Model FAST Cache 20% The Basic Storage Pool Distribution Model Assumes FLASH As The First Line Of Defense For 80% Of All IOs FLAS SH Tier 60% 15K 1% As An Additional Performance Buffer, 15K Drives Are Used For Overflow For 19% Of All IOs Only A 1% Chance Remains That Any IOs Will Be Serviced From Slow 2TB Drives 7 days 52days 250 days 10
Comparing Associated Costs Which Technology Is The Most Efficient? Capacity Acquisition Cost Capacity Power Cost 15K HDD $- $10 $20 $30 Lowest Capacity Cost 15K HDD 0 10 20 30 FLASH 7200 HDD 15K HDD $/GB $24.75 $0.46 $1.80 FLASH 7200 HDD 15K HDD mwatt/gb 25 4 28 15K HDD Transaction Acquisition Cost $- $5 $10 $15 $20 FLASH Lowest Transaction Cost 7200 HDD 15K HDD $/IOPS $0.99 $15.28 $6.00 Transaction Power Cost 15K HDD 0.0 50.0 100.0 150.0 FLASH 7200 HDD 15K HDD mwatt/iops 1.0 133.3 94.4 11
Configuration Example 30TB Usable, 50% Growth, 60 Days Hot @ 80% FLASH Service VNX5500 Large Foot Print 200 SAS 15K HDDs $380,573 VNX5300 Smaller Foot Print SSDs For FAST Cache 4 SSDs For FAST VP 20 15K SAS HDDs For FAST VP 15 NL-SAS HDDs For FAST VP 24 Total 63 $182,882 Monolithic 12
Tangible Business Benefits Dramatically Lower Cost And Higher Transaction Support $ Per Usable GB With FAST Without FAST $3.97 $8.26 Disk Slots Needed With FAST 63 Without FAST 200 13
Two Major Components Of Your SLA Transaction And Capacity Support Needed By The Business? SLA Target SLA Lowest $/IO SSD Needed Transactions $ Lowest $/GB Needed Capacity NL-HDD 14
Flash In The Data Center ALL FLASH ARRAY PCIe FLASH Capacity Cost HYBRID ARRAY FLASH SSD Storage Network FLASH APPLIANCE Server Network FLASH CARD HIGH CAPACITY HDD 15K RPM HDD Transaction Performance 15
EMC Flash Portfolio FUTURE ALL FLASH ARRAY Project Thunder VFCache Capacity Cost HYBRID ARRAY FUTURE Project X Storage Network FLASH APPLIANCE Server Network FLASH CARD VNX Isilon VMAX Transaction Performance 16
The VNX5500-F High Performance, High Availability FLASH Array 17
The EMC VNX 5500-F Flash Array Proven High Availability And Consistent High Performance 10X TRANSACTIONS 1/8 th THE COST 5 X 9 s Availability For Mission Critical Applications RAID Data Protection, Proactive Global Sparing, Replication, EMC Quality Enterprise Flash Starter Configuration At 2 Or 4TB Of Flash 25 X 2.5 Drives, With 100GB Or 200GB SLC SSDs Advanced Data Efficiency Services Compression, De-dupe, And Thin Provisioning Doubles Usable Capacity Full Unified Protocol Support CIFS, NFS, PNFs, iscsi, FCP And FCOE Expandable To Tiered Storage With FAST From 49 TB Of Flash To 675 TB Of Tiered Storage (Flash, SAS, NL-SAS) As Data Ages 18
The FAST Suite Dynamically Optimizes IO For FLASH 1 st At A 64K Page Size FAST Cache - FAST VP Relationship Controller FAST Cache 64K 64K 64K SSD HDD NL-HDD FAST Virtual Pool 1G FAST Cache Caches Data From The HDD Or NL-HDD Tiers In The Pool Operates At A Page Granularity Of 64K FAST VP Dynamically Moves Data Between Tiers In The Storage Pool Operates At A Slice Granularity Of 1GB Deploying Both Together Ensures Maximum IO Granularity 19
Data Strategy Matrix Technology Differentiated Data Placement Strategy Write Read Shared NL HDD Shared 15K HDD Low Activity Dedicated PCIe FLASH Automation Shared FLASH SSD High Activity 20
Virtualization Further Pressures Storage Moore s Law And Better CPU Utilization Drives IOPS Need 32 cores 1M IOPS 32 cores 1M IOPS 2M IOPS 32 cores 1M IOPS 32 cores 1M IOPS NEED For SPEED Note: 2M host pressure IOPS is based on 50% storage side IOPS per host 200K IOPS Application Management -Like VMotion Requires Shared Storage A Performance Budget Of 1M IOPS Per Host Is Now A Reality Shared Storage Risks Becoming Bottleneck In High Performance Virtualization Deployments 21
VNX Virtualized Cloud Architecture Host-Side Read Caching Multiplies Performance Performance Scale 10X BETTER PERFORMANCE Capacity Scale 2M IOPS Scale Out For Hot Data And Read Performance With FLASH Based Host-Side Caching Scale Up For Deep Archive Of Cold Data All Writes Are Protected By Synchronous Cache Mirroring To DRAM & FLASH In Central Array Note: 2M storage IOPS is based on 90%/10% read/write mix 22
High Performance Storage Hierarchy The Data Continuum Is FLASH Centric And Extends To The Host PCIe FLASH SSD FLASH HDD 50uS 200uS 1,500uS Working Set Inactive Data Host-Side Read FLASH Caching Shields Data From SAN And Array Latency Array-Side FLASH Protects Data Against Host Failure Array-Side HDDs Accumulates Inactive Data At Lowest Cost 23
optimal use cases localit ty temp tables, external sorts, Write working intensive workloads files.. with small working sets backups, write journals, oil & gas, data dumps, imag e capture Write intensive workloads with large 0% working sets write mostly database (OLTP), CRM, ERP, email, web servers, reporting, analytics, file systems Read intensive workloads with well defined working sets streaming, bi g data, genetic s studies. Read intensive workloads with large working sets 50% read mostly 100% 24
EMC Flash Portfolio FUTURE ALL FLASH ARRAY Project Thunder VFCache Capacity Cost HYBRID ARRAY FUTURE Project X Storage Network FLASH APPLIANCE Server Network FLASH CARD VNX Isilon VMAX Transaction Performance 25
FLASH 1 st THANK YOU Richard Gordon EMEA FLASH Business Development 26