Achieved in One Year
>$1B
#1 IN SSA MARKET SHARE
•
Latest Gartner research published
5/1/15
•
EMC is #1 with 31.1% share
•
19.2% share gain over 2013
•
>10% market share lead
1
CREATE
VOLUMES
2
CREATE
INITIATOR
GROUPS
XTREMIO – 15 SECOND PROVISIONING
Go Fast
(maybe solve economics)
WHAT PROBLEM ARE YOU SOLVING?
=
+
Get Smarter
Use Flash
Thousands of VMs
= I/O blender
Provisioning &
Cloning new VMs
VM Live Migration
Operations
COMMON THREADS
•
Consolidation creates random performance issues
•
Copying data is common – VMs, databases, analytics
•
Workflow complexity – creating/managing copies
MASSIVE OPPORTUNITY
Next Generation Flash
Architecture & Management
David Floyer
CTO & Co-founder, Wikibon
[email protected]
, @dfloyer
May, 2015
Wikibon
AGENDA
•
The Value of Rapid Response Time
•
Benefits of Rapid Response Time
•
Case Studies for All-Flash Arrays
•
Flash Directions
•
Impact of Data Sharing
•
Importance of Scale-out Flash Architectures
AGENDA
•
The Value of Rapid Response Time
•
Benefits of Rapid Response Time
•
Case Studies for All-Flash Arrays
•
Flash Directions
•
Impact of Data Sharing
•
Importance of Scale-out Flash Architectures
LOW RESPONSE TIMES MATTER
2
3
AGENDA
•
The Value of Rapid Response Time
•
Benefits of Rapid Response Time
•
Case Studies for All-Flash Arrays
•
Flash Directions
•
Impact of Data Sharing
•
Importance of Scale-out Flash Architectures
•
Epicor Eclypse ERP System
•
Combined all workloads to Flash
•
All Eclypse modules now run concurrently
ALL-FLASH ARRAY CASE STUDIES
20%
INCREASE IN REVENUE
50% BENEFIT
ATTRIBUTED TO IT
40 HEADCOUNT
AVOIDED OVER 18 MONTHS
1
•
Combined Production & Development Workloads to XtremIO
•
Implemented XtremIO for Continuous Development
ALL-FLASH ARRAY CASE STUDIES
20% MORE
FEATURES PER RELEASE
600 1,800
BUILDS PER DAY
BUILD FAILURE RATE
17% 2%
6 MONTH ON-DEMAND
2
•
Went 100% XtremIO in 2015
•
Bottlenecks all moved to CPU – added servers and DB licenses
•
Every developer has own full copy of production database
ALL-FLASH ARRAY CASE STUDIES
90 40 MINUTES
CRITICAL BATCH PROCESS TIME
20:1
COPY DATA MANAGEMENT
EFFICIENCY GAIN
5 50
INCREASE IN DEV DB COPIES
DOUBLED
EXPECTED DEVELOPER
PRODUCTIVTY
3
AGENDA
•
The Value of Rapid Response Time
•
Benefits of Rapid Response Time
•
Case Studies for All-Flash Arrays
•
Flash Directions
•
Impact of Data Sharing
•
Importance of Scale-out Flash Architectures
STORAGE COSTS
DATA REDUCTION & SHARING
INFRASTRUCTURE COSTS
Source: © Wikibon
http://wikibon.premium.com/
INFRASTRUCTURE COSTS
•
Much faster response time for all applications (end-user
productivity)
•
Ability to deploy new applications where OLTP is mixed with
Inline Analytics
THE CASE FOR ALL-FLASH ARRAYS
6X COST REDUCTION
FROM DATA SHARING & COPY ELIMINATION
4X REDUCTION
AGENDA
•
The Value of Rapid Response Time
•
Benefits of Rapid Response Time
•
Case Studies for All-Flash Arrays
•
Flash Directions
•
Impact of Data Sharing
•
Importance of Scale-out Flash Architectures
Exploitation of SSD within Existing HDD Arrays
•
EMC SSD 2008
•
EMC FAST-VP
Hybrid Architectures
•
Tintrí introduced “flash-first” design
•
EMC VNX
All-Flash Arrays with Traditional Dual Controllers
•
Copy of Traditional HDD Controller/Cache
•
IBM FlashSystems (Very low latency) Pure Storage (data reduction)
•
Cisco Whiptail, EMC VNX-F, IBM TMS, NetApp EF-Series, Nimbus, Skyera,
Violin Memory, etc.
Scale-out Shared Data Architectures
FLASH ARRAY GENERATIONS
GEN1
GEN2
GEN3
•
More data held in Array, greater savings in reducing copies
o
Scale out architecture
o
Dynamic addition of capacity
•
No tiering required for 95%+ of data
•
Simple tiering only required for <5% of data with:
o
Very low change rate
o
Low historical data access
o
No dynamic requirement for transfer
•
Full data reduction techniques multiply benefits by amount of reuse
•
AFA must use snapshot change management (vs. traditional
replication by application and copy of data)
•
Virtualization & Sharing of Data requires extremely high levels of
•
Catalog of Data Copies, Snapshots, etc.
o
Catalog shared with Linked & Remote AFA arrays
o
Automated Backup & Recovery system
•
Full access to data via Restful APIs for platform integration
•
Extensive Quality of service management
o
Minimum & Maximum IOPS, Bandwidth & RT
o
Different QoS for snaps
•
Full Application IO view
•
Full IO monitoring
o
By application
o
By copy
o
% shared data
o
Etc.
•
Full Orchestration & Workflow Automation support for Platforms
•
Deliver the Performance Potential of Flash
•
Greater Sharing of Data
•
Greater Data Reduction
•
Fewer Copies
•
Simpler Data & Metadata Management
•
Allows Migration to Continuous Development
•
Allows Migration to Real-time ETL
•
Allows Migration to In-line Analytics
•
Allows Next-generation Applications with 1,000x Database Calls
•
Plan Implementation of an Electronic Data Center as a
Strategic Imperative
•
Measure & Minimize # Physical Copies of Data
•
Plan to Combine Transactional, Data Warehouse &
Development Data by Application
•
Plan to Completely Revamp Application Development
Infrastructure & Practice
•
Completely Revamp Application Architecture
Business & IT Plan to Double IT Productivity &
Double Productivity of Application Users
A TYPICAL APP ENVIRONMENT
10TB
10TB
10TB
10TB
10TB
10TB
10TB
AN XTREMIO APP ENVIRONMENT
DEV INST 1 DEV INST 2 DEV INST 3 DEV INST 1 DEV INST 2 DEV INST 3
TEST/DEV COPIES
HIGH PERFORMANCE
PRODUCTION
INSTANT, FAST, SPACE EFFICIENT
ANALYTICS COPIES
FIN COPY OPS COPY SALES COPY
