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BEYOND THE IOPS:
FLASH STORAGE ESSENTIALS
FOR PERFORMANCE & UPTIME
SPEAKERS
2© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
Kong Yang
• SolarWinds Head Geek™
• Focus on application behavior and performance
optimization in any given environment
• US Patent Holder
• VMware® vExpert and Cisco® Champion
• With SolarWinds since 2014
Andrew Levin
• Pure Storage Product Manager for 3rd party tools
integrations
• Focus on manageability of FlashArray across key areas of
provisioning, capacity, performance and alerting
• On the mission to rid the data centers of spinning rust
• With Pure Storage since 2015
 All-flash storage array performance & uptime essentials
 With great powers come great responsibility
 All-flash storage arrays best practices
 Threshold and Alerting are key
AGENDA
3© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
 Capacity efficiency with consistent performance
 Ease of use through abstraction
 High velocity from implementation through application stack
 Scalability in solutions stack (reduce storage footprint & increase app)
POWER: SIMPLICITY, SPEED AND SCALABILITY
4© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
TRADITIONAL VS AFA STORAGE
5© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
#ofIOPs
AverageLatency(ms)
# of spindles # of Applications
Traditional AFA
LINES LINES EVERYWHERE
TRADITIONAL PROCESS EFFICIENCY
CREATED BOTTLENECK IN STORAGE
7© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
Process efficiency on CPU = wait time / processing time = 200 μs / 5200 µs = 3.8%
Vaughn Stewart, Pure Storage, 2015, VMUG USERCON, http://www.slideshare.net/vmugit/presentazione-purestorage-vmugit-usercon-2015
ALL-FLASH ARRAY PROCESS EFFICIENCY
UN-CORKS THE BOTTLENECK LEADING TO DRAMATICALLY FASTER RESPONSE TIME
8© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
Process efficiency on CPU = wait time / processing time = 200 μs / 800 µs = 25%
Vaughn Stewart, Pure Storage, 2015, VMUG USERCON, http://www.slideshare.net/vmugit/presentazione-purestorage-vmugit-usercon-2015
 All-flash storage optimizes CPU
Agility: allow more IOPs per host
Lean: reduce the # of hosts
THE CPU UTILIZATION EFFECT
9© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
Vaughn Stewart, Pure Storage, 2015, VMUG USERCON, http://www.slideshare.net/vmugit/presentazione-purestorage-vmugit-usercon-2015
Source: ESG report on Pure Storage resilience with converged, virtualized workloads including VMware Horizon View, Oracle®,
Exchange™ and other VM workloads running simultaneously
ESG Lab Validation- Download Request. Web. 31 May 2016.
CONSOLIDATE IN A FLASH
10© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
WHY DATA REDUCTION MATTERS
11© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
Increased
Performance
Adaptive
IO balancing
Improved
Storage Cost
More Reduction =
More Effective
Capacity
Mixed
Workloads
Variable Workloads
require variable
data-reduction
Longer
Lasting Flash
Less Bytes =>
Less Writes =>
Less Wear
PURE STORAGE® FLASH ARRAYS NOT JUST “STORAGE ARRAYS”
HIGHLY-AVAILABLE, NON-DISRUPTIVE DATA-REDUCING
ALL-FLASH STORAGE ARRAYS
The characteristics of both the “dataset” and the “workloads” matter when looking at performance
Non-Disruptive
Capacity Expansion
Non-Disruptive
Performance Expansion
Non-Disruptive
Hardware Replacement
Non-Disruptive
Software Updates
WITH GREAT POWER COMES GREAT RESPONSIBILITY
13© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
ALERTING: RAGE AGAINST THE WALLS
14© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
 KPIs from performance metrics
 All about the drive-thru
INTELLIGENT THRESHOLDS
15© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
SIMPLE MEETS SIMPLE: DEMO
16© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
Q&A
17© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
18
ADDITIONAL RESOURCES
Get the Geek’s
Perspective on the latest
tech trends & topics:
bit.ly/GeekSpeakBlog
Join the
conversation on
SolarWinds’
Community:
THWACK.com
SolarWinds Lab:
Lab.SolarWinds.com
© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
THANK YOU!
The SOLARWINDS and SOLARWINDS & Design marks are the exclusive property of SolarWinds
Worldwide, LLC, are registered with the U.S. Patent and Trademark Office, and may be registered or
pending registration in other countries. All other SolarWinds trademarks, service marks, and logos
may be common law marks, registered or pending registration in the United States or in other
countries. All other trademarks mentioned herein are used for identification purposes only and may
be or are trademarks or registered trademarks of their respective companies.
© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.

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Beyond the IOPS: Flash Storage Essentials for Performance & Uptimes

  • 1. BEYOND THE IOPS: FLASH STORAGE ESSENTIALS FOR PERFORMANCE & UPTIME
  • 2. SPEAKERS 2© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED. Kong Yang • SolarWinds Head Geek™ • Focus on application behavior and performance optimization in any given environment • US Patent Holder • VMware® vExpert and Cisco® Champion • With SolarWinds since 2014 Andrew Levin • Pure Storage Product Manager for 3rd party tools integrations • Focus on manageability of FlashArray across key areas of provisioning, capacity, performance and alerting • On the mission to rid the data centers of spinning rust • With Pure Storage since 2015
  • 3.  All-flash storage array performance & uptime essentials  With great powers come great responsibility  All-flash storage arrays best practices  Threshold and Alerting are key AGENDA 3© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 4.  Capacity efficiency with consistent performance  Ease of use through abstraction  High velocity from implementation through application stack  Scalability in solutions stack (reduce storage footprint & increase app) POWER: SIMPLICITY, SPEED AND SCALABILITY 4© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 5. TRADITIONAL VS AFA STORAGE 5© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED. #ofIOPs AverageLatency(ms) # of spindles # of Applications Traditional AFA
  • 7. TRADITIONAL PROCESS EFFICIENCY CREATED BOTTLENECK IN STORAGE 7© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED. Process efficiency on CPU = wait time / processing time = 200 μs / 5200 µs = 3.8% Vaughn Stewart, Pure Storage, 2015, VMUG USERCON, http://www.slideshare.net/vmugit/presentazione-purestorage-vmugit-usercon-2015
  • 8. ALL-FLASH ARRAY PROCESS EFFICIENCY UN-CORKS THE BOTTLENECK LEADING TO DRAMATICALLY FASTER RESPONSE TIME 8© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED. Process efficiency on CPU = wait time / processing time = 200 μs / 800 µs = 25% Vaughn Stewart, Pure Storage, 2015, VMUG USERCON, http://www.slideshare.net/vmugit/presentazione-purestorage-vmugit-usercon-2015
  • 9.  All-flash storage optimizes CPU Agility: allow more IOPs per host Lean: reduce the # of hosts THE CPU UTILIZATION EFFECT 9© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED. Vaughn Stewart, Pure Storage, 2015, VMUG USERCON, http://www.slideshare.net/vmugit/presentazione-purestorage-vmugit-usercon-2015
  • 10. Source: ESG report on Pure Storage resilience with converged, virtualized workloads including VMware Horizon View, Oracle®, Exchange™ and other VM workloads running simultaneously ESG Lab Validation- Download Request. Web. 31 May 2016. CONSOLIDATE IN A FLASH 10© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 11. WHY DATA REDUCTION MATTERS 11© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED. Increased Performance Adaptive IO balancing Improved Storage Cost More Reduction = More Effective Capacity Mixed Workloads Variable Workloads require variable data-reduction Longer Lasting Flash Less Bytes => Less Writes => Less Wear
  • 12. PURE STORAGE® FLASH ARRAYS NOT JUST “STORAGE ARRAYS” HIGHLY-AVAILABLE, NON-DISRUPTIVE DATA-REDUCING ALL-FLASH STORAGE ARRAYS The characteristics of both the “dataset” and the “workloads” matter when looking at performance Non-Disruptive Capacity Expansion Non-Disruptive Performance Expansion Non-Disruptive Hardware Replacement Non-Disruptive Software Updates
  • 13. WITH GREAT POWER COMES GREAT RESPONSIBILITY 13© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 14. ALERTING: RAGE AGAINST THE WALLS 14© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 15.  KPIs from performance metrics  All about the drive-thru INTELLIGENT THRESHOLDS 15© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 16. SIMPLE MEETS SIMPLE: DEMO 16© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 17. Q&A 17© 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 18. 18 ADDITIONAL RESOURCES Get the Geek’s Perspective on the latest tech trends & topics: bit.ly/GeekSpeakBlog Join the conversation on SolarWinds’ Community: THWACK.com SolarWinds Lab: Lab.SolarWinds.com © 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.
  • 19. THANK YOU! The SOLARWINDS and SOLARWINDS & Design marks are the exclusive property of SolarWinds Worldwide, LLC, are registered with the U.S. Patent and Trademark Office, and may be registered or pending registration in other countries. All other SolarWinds trademarks, service marks, and logos may be common law marks, registered or pending registration in the United States or in other countries. All other trademarks mentioned herein are used for identification purposes only and may be or are trademarks or registered trademarks of their respective companies. © 2016 SOLARWINDS WORLDWIDE, LLC. ALL RIGHTS RESERVED.

Editor's Notes

  1. Why storage monitoring is essential to maximize performance and maintain application uptime? << thresholds, alerting, reporting >> Flash Storage Essentials How monitoring an all-flash-array is different than monitoring a traditional storage array? << traditional spindles vs all-flash array >> Single point of truth Best practices to optimize your monitoring solutions/processes to deliver expected performance to your applications and meet your end user's QoS SLA << Pure’s best practice optimization techniques including the rule of thumbs from Vaughn’s slide deck for CPU utilization benefits to latency >> Best practices How to do forecast capacity requirements and utilization over time with capacity planning tools? << all flash arrays move the bottlenecks so storage owners can continue to add workloads. When and where will it saturate? >> Great power requires great responsibility
  2. All Flash Storage Arrays have made storage owner life: Easier – interface, setting up, abstracting storage construct layers like RAID, etc More Efficient – performance, provisioning More complexities i.e. considerations – we moved the bottlenecks (to where though?), capacity planning paradigms, integrating legacy plus all flash arrays. To go fast, you need telemetry that surfaces the single point of truth and improves consumption efficacy
  3. http://info.purestorage.com/2015Q3-NAM-ESG-Mixed-Workloads-Lab-Validation_Request.html
  4. All Flash Storage Arrays have made storage owner life: Easier – interface, setting up, abstracting storage construct layers like RAID, etc More Efficient – performance, provisioning More complexities i.e. considerations – we moved the bottlenecks (to where though?), capacity planning paradigms, integrating legacy plus all flash arrays. To go fast, you need telemetry that surfaces the single point of truth and improves consumption efficacy
  5. All Flash Storage Arrays have made storage owner life: Easier – interface, setting up, abstracting storage construct layers like RAID, etc More Efficient – performance, provisioning More complexities i.e. considerations – we moved the bottlenecks (to where though?), capacity planning paradigms, integrating legacy plus all flash arrays. To go fast, you need telemetry that surfaces the single point of truth and improves consumption efficacy
  6. OVERVIEW: Single-pane-of-glass monitoring for multi-vendor storage arrays Real-time performance monitoring with customizable threshold alerting Monitor storage capacity with easy-to-view, projected growth rates. Diagnose performance problems down to storage volume BENEFITS: Monitor FlashArray data reduction to determine if more workloads can be consolidated to the array Help place application workloads by identifying FlashArray with available usable capacity Set threshold policy based on several performance indicators to help alert on actual service degradation rather than on false positives Use predictive analytics to forecast number of days until 100% full based on rate of growth. Enable user to move workload to another FlashArray or order more flash.
  7. All Flash Storage Arrays have made storage owner life: Easier – interface, setting up, abstracting storage construct layers like RAID, etc More Efficient – performance, provisioning More complexities i.e. considerations – we moved the bottlenecks (to where though?), capacity planning paradigms, integrating legacy plus all flash arrays. To go fast, you need telemetry that surfaces the single point of truth and improves consumption efficacy