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OpenIO Summit ‘17
OIO-SDS: Much Done, More Yet to Come
NOW
H1’17 Q3’17 Q4’17
Why?
(The starting point)
The original pain
Applicative
Silos
Colocated
Data
Organic
Growth
Exponential
TCO
JIT provisioning
Continuous small
increments
Misc. HW
New vendor deals,
Refurbishing
Versatile
Platforms
Powering
Real Humans
Buzz effects,
Daylight rythms
Known constraints
Design elements
State of the art (2006): CHORD-based solutions
● Static placement of the data
● Locations *known*
Wrong choice!
● Platform change → Rebalancing!
● Poor at managing heterogeneity
SDS → K.I.S.S.
No ring allowed...
● Choose locations:
○ Discovery & Qualification
○ Load-Balancing
● Remember:
○ Data structure for 10^14 contents
○ → Layered: containers
○ → Distributed
2 2 2 2...
1
protocol://service/resource
The key to our flexibility
● Proto: Plug backends/tiers
● Service/Resource: Policies
No regrets :)
Pointers everywhere!
Planned, Done
H1’17
A question of mapping names to objects
● Swift: the ideal mapping
● S3: tmpauth, ACL, Lifecycle, ...
● FS: with a side service to map inodes
● Even for “bucket-less” flat namespaces
○ Hashed containers
○ Regex containers
○ Divided containers
Planned, Done: Standard connectors
Archive containers
● Backup with Range’d GET
● Restore with Chunk’d POST
Snapshot containers
● Hardlink chunks (same volumes)
● Register new pointers
● No data copied!
Planned, Done: container services
Encompass the customer’s use cases
A service able to list container and match prefixes
Planned, Done: oio-cb
ACCT-pics / USER
ACCT-mail / USER
ACCT-snapshot / USER-20170928
ACCT / USER-segments
+ Their shards ...
GET /v1/bill/fetch?acct=ACCT&ref=USER
Cope with the customer’s cardinality
● Configure a limit the number of contents in each container
○ Per NS, Account or Container
● New shard are allocated when a full occurs
○ Atomically
○ Automatically
● ~ Seamless
○ Trade-Off: Slower LIST
○ Trade-Off: Slower random GET
Planned, Done: Sharded containers
● Easy tasks
○ Necessary notions already present
● Lifecycle “à-la-S3”
○ Notify the containers
○ List items
○ Match the rules (prefixes, metadata)
○ Adapt the storage policy
● Self-healing … idem
○ Notify the erroneous items
○ List the chunks
○ Check the compliance to the storage policy
Planned, Done: Lifecycle rules, Self-healing
Now what?
H2’17
Improve:
● Behavior at the limits
● Robustness, Reliability
● QoS enforcement
A cycle of QA tests & CI improvements
starts for OIO-SDS
In a short term
Q1’17
Q3’17
Q4’17
Plan Do
CheckAct
Q2’17
17.10
SDS is just an enabler, not the star
● Stable set of features
● Only the data matter
G4A is the new star
● SDS as a source / sink
In a longer term
2015
2017
2018
Plan Do
CheckAct
2016
SDS
SDS Grid For Apps
OpenIO Summit ‘17
What’s next
Teezly, Boring and Working Use Case:

How to save 400K per year
Solvik Blum

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OpenIO Summit'17: Much Done, More Yet to Come

  • 1. OpenIO Summit ‘17 OIO-SDS: Much Done, More Yet to Come
  • 4. The original pain Applicative Silos Colocated Data Organic Growth Exponential TCO JIT provisioning Continuous small increments Misc. HW New vendor deals, Refurbishing Versatile Platforms Powering Real Humans Buzz effects, Daylight rythms Known constraints
  • 5. Design elements State of the art (2006): CHORD-based solutions ● Static placement of the data ● Locations *known* Wrong choice! ● Platform change → Rebalancing! ● Poor at managing heterogeneity
  • 6. SDS → K.I.S.S. No ring allowed... ● Choose locations: ○ Discovery & Qualification ○ Load-Balancing ● Remember: ○ Data structure for 10^14 contents ○ → Layered: containers ○ → Distributed 2 2 2 2... 1
  • 7. protocol://service/resource The key to our flexibility ● Proto: Plug backends/tiers ● Service/Resource: Policies No regrets :) Pointers everywhere!
  • 9. A question of mapping names to objects ● Swift: the ideal mapping ● S3: tmpauth, ACL, Lifecycle, ... ● FS: with a side service to map inodes ● Even for “bucket-less” flat namespaces ○ Hashed containers ○ Regex containers ○ Divided containers Planned, Done: Standard connectors
  • 10. Archive containers ● Backup with Range’d GET ● Restore with Chunk’d POST Snapshot containers ● Hardlink chunks (same volumes) ● Register new pointers ● No data copied! Planned, Done: container services
  • 11. Encompass the customer’s use cases A service able to list container and match prefixes Planned, Done: oio-cb ACCT-pics / USER ACCT-mail / USER ACCT-snapshot / USER-20170928 ACCT / USER-segments + Their shards ... GET /v1/bill/fetch?acct=ACCT&ref=USER
  • 12. Cope with the customer’s cardinality ● Configure a limit the number of contents in each container ○ Per NS, Account or Container ● New shard are allocated when a full occurs ○ Atomically ○ Automatically ● ~ Seamless ○ Trade-Off: Slower LIST ○ Trade-Off: Slower random GET Planned, Done: Sharded containers
  • 13. ● Easy tasks ○ Necessary notions already present ● Lifecycle “à-la-S3” ○ Notify the containers ○ List items ○ Match the rules (prefixes, metadata) ○ Adapt the storage policy ● Self-healing … idem ○ Notify the erroneous items ○ List the chunks ○ Check the compliance to the storage policy Planned, Done: Lifecycle rules, Self-healing
  • 15. Improve: ● Behavior at the limits ● Robustness, Reliability ● QoS enforcement A cycle of QA tests & CI improvements starts for OIO-SDS In a short term Q1’17 Q3’17 Q4’17 Plan Do CheckAct Q2’17 17.10
  • 16. SDS is just an enabler, not the star ● Stable set of features ● Only the data matter G4A is the new star ● SDS as a source / sink In a longer term 2015 2017 2018 Plan Do CheckAct 2016 SDS
  • 17. SDS Grid For Apps
  • 18. OpenIO Summit ‘17 What’s next Teezly, Boring and Working Use Case:
 How to save 400K per year Solvik Blum