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Cloud Storage Made Seamless
Marc Villemade               Ranajit Nevatia
Technology Evangelist        VP, Marketing
Scality                      Panzura




                                         Slide 1
There are two types of data
(roughly)




  Structured
     We (sort of) know how to manage this


  Unstructured
     This is the new beast we have issues with



                                                  Slide 2
How to define Structured Data?
 Structured data is a set of organized pieces of data
   Relational databases are a perfect example
   Atomic pieces are, on their own, meaningless




                                                         Slide 3
What about Unstructured Data?
 Unstructured data is self-contained pieces of
  data
  Self-descriptive
  Meaningful in and of itself
  Typically has metadata attached to it

 Email, Videos, Presentations, Spreadsheets, sate
  llite images…


 An easy way to think about it is anything that can
  be stored in one file is unstructured data
                                                  Slide 4
Some numbers…
 In 2012, Humanity will generate 2.7 ZB of data 1

 It is estimated that we permanently store ~ 1 ZB of it 2 (~40%)

 80% of it is unstructured 1
     500 Quadrillion files (500,000 million million files)

 Next year and so on, it will grow by 50% y-o-y 1
     It will double every 2 years in the next 10 years



                          Kind of unfathomable, ain’t it?


(1) IDC numbers – (2) University of Southern California (2007)


                                                                 Slide 5
Humans like organized things
    Well, some of them at least…

 Structured storage systems have been used for Unstructured Data
   Organized in file systems, hierarchies, directories
   Easier for us



 And then new data creation patterns emerged early 2000s
   The model doesn’t fit anymore
   And here’s why




                                                             Slide 6
Typical SAN / NAS issues at Scale

              Technology refresh and migration necessary to
               benefit from larger disks
              Scheduled maintenance window nuisance
              Limitations on # of files
              Volume management is complex
              Serial architecture compromises performance
              RAID is less efficient for large drives
              FC networks are expensive & point-to-point
              Cost is prohibitive for large capacity




                                                            Slide 7
Humans like organized things
 Well, some of them at least…

 Structured data storage systems are used for Unstructured.
   Organized in file systems, hierarchies, directories
   Easier for us

 And then new data creation patterns emerged early 2000s
   The model doesn’t fit anymore
   SANs and NASes were not made to handle this




                                                               Slide 8
So what’s the solution?
 We believe it’s Object Storage
   Yahoo!, Amazon, Google.. were the pioneers
 Main Characteristics
   Flat Namespace
   Infinite Scalability
   Elasticity
   Cost-efficiency
   Data availability and durability

                                                 Slide 9
Scality’s Storage Vision




Their DC     Their DC      YOUR DC
Their App.   YOUR App.     YOUR App.
YOUR Data    YOUR Data     YOUR Data




                                       Slide 10
What is the Secret Sauce?
Scality has developed a distributed (scale–out) object-based
storage software to turn x86 servers into Petabyte scale
storage for unstructured data (files).
(Scality is NOT designed for VM, VDI, Relational Database)



   •   Distributed System
   •   Distributed metadata
   •   No Single point of failure
   •   Self healing
   •   Organic upgrades




                                                             Slide 11
What’s unique about Scality RING
• Performance
   • ESG Lab report: we’re 10x faster than any other object store

• Hardware-agnostic
   •   Software Vendor
   •   Mixed hardware (disks, nodes)


• Erasure-Coding with No penalty on read
   • With only 60% overhead

• Tiering
   •   Policy driven
   •   Automatic, Transparent



                                                                    Slide 12

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Scality presentation cloud Computing Expo NY 2012 v1.0

  • 1. Cloud Storage Made Seamless Marc Villemade Ranajit Nevatia Technology Evangelist VP, Marketing Scality Panzura Slide 1
  • 2. There are two types of data (roughly)  Structured  We (sort of) know how to manage this  Unstructured  This is the new beast we have issues with Slide 2
  • 3. How to define Structured Data?  Structured data is a set of organized pieces of data  Relational databases are a perfect example  Atomic pieces are, on their own, meaningless Slide 3
  • 4. What about Unstructured Data?  Unstructured data is self-contained pieces of data  Self-descriptive  Meaningful in and of itself  Typically has metadata attached to it  Email, Videos, Presentations, Spreadsheets, sate llite images…  An easy way to think about it is anything that can be stored in one file is unstructured data Slide 4
  • 5. Some numbers…  In 2012, Humanity will generate 2.7 ZB of data 1  It is estimated that we permanently store ~ 1 ZB of it 2 (~40%)  80% of it is unstructured 1  500 Quadrillion files (500,000 million million files)  Next year and so on, it will grow by 50% y-o-y 1  It will double every 2 years in the next 10 years Kind of unfathomable, ain’t it? (1) IDC numbers – (2) University of Southern California (2007) Slide 5
  • 6. Humans like organized things Well, some of them at least…  Structured storage systems have been used for Unstructured Data  Organized in file systems, hierarchies, directories  Easier for us  And then new data creation patterns emerged early 2000s  The model doesn’t fit anymore  And here’s why Slide 6
  • 7. Typical SAN / NAS issues at Scale  Technology refresh and migration necessary to benefit from larger disks  Scheduled maintenance window nuisance  Limitations on # of files  Volume management is complex  Serial architecture compromises performance  RAID is less efficient for large drives  FC networks are expensive & point-to-point  Cost is prohibitive for large capacity Slide 7
  • 8. Humans like organized things Well, some of them at least…  Structured data storage systems are used for Unstructured.  Organized in file systems, hierarchies, directories  Easier for us  And then new data creation patterns emerged early 2000s  The model doesn’t fit anymore  SANs and NASes were not made to handle this Slide 8
  • 9. So what’s the solution?  We believe it’s Object Storage  Yahoo!, Amazon, Google.. were the pioneers  Main Characteristics  Flat Namespace  Infinite Scalability  Elasticity  Cost-efficiency  Data availability and durability Slide 9
  • 10. Scality’s Storage Vision Their DC Their DC YOUR DC Their App. YOUR App. YOUR App. YOUR Data YOUR Data YOUR Data Slide 10
  • 11. What is the Secret Sauce? Scality has developed a distributed (scale–out) object-based storage software to turn x86 servers into Petabyte scale storage for unstructured data (files). (Scality is NOT designed for VM, VDI, Relational Database) • Distributed System • Distributed metadata • No Single point of failure • Self healing • Organic upgrades Slide 11
  • 12. What’s unique about Scality RING • Performance • ESG Lab report: we’re 10x faster than any other object store • Hardware-agnostic • Software Vendor • Mixed hardware (disks, nodes) • Erasure-Coding with No penalty on read • With only 60% overhead • Tiering • Policy driven • Automatic, Transparent Slide 12

Notas del editor

  1. Why was Object Storage Developed?
  2. Tier two is half the cost of tier one
  3. Tier two is half the cost of tier one