CloudSave - Object-Relational Mapping for the Cloud

1. CloudSave -
Object-Relational Mapping for the Cloud
Matthew Fowler
NT/e
www.nte.co.uk/java
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2. Big Data
Transactions
Optimal Co-location
Commit at Grid Speeds
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3. Distributed Transactions
Low Reliability
Complicated Programming
of
Unintended Consequences
Unknowing
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4. CloudSave
As safe as a database, as fast as the Cloud
Distributed Transactions
Optimal Placement - Modelled
Reduce Unintended Consequences
Simple enough for App programmers
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5. CloudSave
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6. CloudSave
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7. As Safe As A Database?
• We say
– I accept the order
before writing to disk
• But 'n' backup machines are as safe as you like
– '1' should be enough
• Still write to disk
– Power failure etc.
– Poor track record of large-scale infrastructures
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8. • Analysis and Design Phase
• Building bottom up - simplifying infrastructure
– GigaSystemBuilder
• Application Generator for GigaSpaces
• Demonstrator in April
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9. Speed
Grid/Cloud CloudSave
IMDG
Database
Reliability
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10. Platform For ...
• Big/fast data applications
– e.g. Pharma, CEP, transportation, Big Brother
• Why do we think we can build quot;the impossiblequot;
– built on advanced features of GigaSpaces
– (it's not really a distributed transaction)
• Architectural shift -
– Move integration point from Database to quot;Servicesquot;
– Still need DB for all the feeds
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