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Overcoming the Storage Roadblock
to Data Center Modernization
For audio playback and Q&A go to: bit.ly/RoadBlockDC
OurSpeakers
Bill Borsari, Sr. Director
Systems Engineering
George Crump,
Founder and Lead Analyst
What is Data Center
Modernization?
● New Apps (NoSQL, Hadoop,
Splunk, Spark)
● New Architectures - Software
Defined Data Center
● But...
○ Supporting traditional applications
(Oracle, MS-SQL, VMware, User
Files)
● Storage becomes a key roadblock!
Why is Storage a
Roadblock to SDDC?
● Most modern applications expect a
new storage architecture
○ Local storage with replication for
protection
○ Object storage
● Legacy applications expect shared
block storage
● Result: Multiple storage silos x 2
(modern and traditional)
Is Public Cloud the
Answer?
● Throw in the towel and make
storage someone else’s
problem
● In actuality cloud providers
have similar storage problem
○ Hide inefficiency by creating
massive amounts of scripts
How to Overcome the
SDDC Storage Roadblock
● Traditional Applications expect it,
modern apps need it
● Performance an increasing concern
in modern apps as AI and ML
become more prevalent
● Storage IO challenges of containers
also require high performance
Requirement 1: Enterprise Performance
and Features
Requirement 2: Automation, Orchestration and
Autonomous Actions
● Automation
○ Automatically move data between storage types and nodes
● Orchestration
○ A workflow of actions, some related to storage some not
● Autonomous Actions
○ Self-analyzing storage that takes its own action based on conditions
Requirement 3:
● Expansion of compute
and capacity by adding
nodes
● Automatic rebalancing of
resources
● Continuously available
Scale Out and Continuously Aware
Requirement 4: Storage Hardware
Award but Hardware Free
● Don’t treat hardware as dumb
bricks
● Understand the capabilities of
each node
● Understand the capabilities of
media within the node
● But don’t force purchase of
specific hardware
Requirement 5:
Data Center Aware
● From data aware to DATA
CENTER aware
○ Identify needs of application
○ Identify network traffic
changes
○ Take corrective measures
Summary
● Modernization = Software Defined Data Center
● SDDC Requires a Storage ReThink
○ Enterprise Performance
○ Automation, Orchestration, Autonomous
○ Scale Out
○ Hardware Aware but no Lock-in
○ Data Center Aware
© 2018 Datera. Confidential
Typical Customer Legacy Environments
Big Data Dev/Test
Point Data
Products
Workloads &
Requirements
VMs Containers / λ
Ridged Silos:
• “Trapped” Performance and Capacity
• High Cost of “getting it wrong”
• Expensive Data Migrations
High Operational overhead:
• Different vendors
• Different physical requirements
• High training costs
Director Class
Array
DAS Mid Size
Array
OpenSource ???
Enterprise Apps
Thank you!
Storage Switzerland
http://www.storageswiss.com
georgeacrump@storageswiss.com
StorageSwiss on Twitter:
http://twitter.com/storageswiss
StorageSwiss on YouTube:
http://www.youtube.com/user/storageswiss
Datera
https://datera.io
Datera on Twitter:
https://twitter.com/DateraInc
Datera on LinkedIn:
https://www.youtube.com/datera
Overcoming the Storage Roadblock
to Data Center Modernization
For complete audio and Q&A please register for the On Demand Version:
bit.ly/RoadBlockDC

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Webinar: Overcoming the Storage Roadblock to Data Center Modernization

  • 1. Overcoming the Storage Roadblock to Data Center Modernization For audio playback and Q&A go to: bit.ly/RoadBlockDC
  • 2. OurSpeakers Bill Borsari, Sr. Director Systems Engineering George Crump, Founder and Lead Analyst
  • 3. What is Data Center Modernization? ● New Apps (NoSQL, Hadoop, Splunk, Spark) ● New Architectures - Software Defined Data Center ● But... ○ Supporting traditional applications (Oracle, MS-SQL, VMware, User Files) ● Storage becomes a key roadblock!
  • 4. Why is Storage a Roadblock to SDDC? ● Most modern applications expect a new storage architecture ○ Local storage with replication for protection ○ Object storage ● Legacy applications expect shared block storage ● Result: Multiple storage silos x 2 (modern and traditional)
  • 5. Is Public Cloud the Answer? ● Throw in the towel and make storage someone else’s problem ● In actuality cloud providers have similar storage problem ○ Hide inefficiency by creating massive amounts of scripts
  • 6. How to Overcome the SDDC Storage Roadblock
  • 7. ● Traditional Applications expect it, modern apps need it ● Performance an increasing concern in modern apps as AI and ML become more prevalent ● Storage IO challenges of containers also require high performance Requirement 1: Enterprise Performance and Features
  • 8. Requirement 2: Automation, Orchestration and Autonomous Actions ● Automation ○ Automatically move data between storage types and nodes ● Orchestration ○ A workflow of actions, some related to storage some not ● Autonomous Actions ○ Self-analyzing storage that takes its own action based on conditions
  • 9. Requirement 3: ● Expansion of compute and capacity by adding nodes ● Automatic rebalancing of resources ● Continuously available Scale Out and Continuously Aware
  • 10. Requirement 4: Storage Hardware Award but Hardware Free ● Don’t treat hardware as dumb bricks ● Understand the capabilities of each node ● Understand the capabilities of media within the node ● But don’t force purchase of specific hardware
  • 11. Requirement 5: Data Center Aware ● From data aware to DATA CENTER aware ○ Identify needs of application ○ Identify network traffic changes ○ Take corrective measures
  • 12. Summary ● Modernization = Software Defined Data Center ● SDDC Requires a Storage ReThink ○ Enterprise Performance ○ Automation, Orchestration, Autonomous ○ Scale Out ○ Hardware Aware but no Lock-in ○ Data Center Aware
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  • 17. © 2018 Datera. Confidential Typical Customer Legacy Environments Big Data Dev/Test Point Data Products Workloads & Requirements VMs Containers / λ Ridged Silos: • “Trapped” Performance and Capacity • High Cost of “getting it wrong” • Expensive Data Migrations High Operational overhead: • Different vendors • Different physical requirements • High training costs Director Class Array DAS Mid Size Array OpenSource ??? Enterprise Apps
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  • 19. Thank you! Storage Switzerland http://www.storageswiss.com georgeacrump@storageswiss.com StorageSwiss on Twitter: http://twitter.com/storageswiss StorageSwiss on YouTube: http://www.youtube.com/user/storageswiss Datera https://datera.io Datera on Twitter: https://twitter.com/DateraInc Datera on LinkedIn: https://www.youtube.com/datera
  • 20. Overcoming the Storage Roadblock to Data Center Modernization For complete audio and Q&A please register for the On Demand Version: bit.ly/RoadBlockDC