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Jclouds javaone 2010

by jclouds on Sep 21, 2010

1,170 views

JavaOne 2010 Session S314331...

JavaOne 2010 Session S314331

Key/Value Storage in the Cloud

*Note* sessions at JavaOne require registration, which often implies a fee.

This session will introduce key/value storage concepts and several leading options, including Amazon Simple Storage Service (S3), Rackspace, Windows Azure, EMC Atmos, and Nirvanix. We'll compare these services from a feature and code/API level, then cover jclouds, which act as an abstraction layer above the services. Finally, we'll show a demo of jclouds interacting with several Blobstore APIs and Twitter from within Google App Engine. The session is for developers, with a basic knowledge of clouds, looking for ways to integrate Java applications with cloud storage.

Attendees will learn about:
* Different types of cloud storage
* Key/value storage
* Differences between storage clouds
* Using jclouds Blobstore for Java storage portability

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azure scopes container names to accounts
nirvanix scopes based on application and then subaccount
Global namespace == think gmail account... separates you from others and must be unique
Inter-site copying
Distribution publishing
Rackspace: cloud filesAmazon web services: S3 Windows Azure: Blob ServiceNirvaniz: Storage Delivery Network
Mezeo: Cloud Storage Platform

limelight customers: Disney, MSNBC, NetFlix, Microsoft Xbox, and Amazon Video on Demand
azure containers can have metadata, rackspace doesn’t support acls
nirvanix max 256G; no support for range
mezeo; max is limited to filesystem (exabytes)
azure; max is account size (50GB)
nirvanix 5 nodes under one namespace 3 locations; west socal, central, dallas, jersey, frank, tokyo
cloudlayer/cloudfiles single location both with CDN 21 location
unsure azure/s3 eu/us write ( multiple namespace) 7 node CDN cloudfront
nirvanix - 99.9 on single 99.99 99.999 <- first sla
How long can the gaps be between updates and re-reads? How does CDN affect this?
Nirvanix, azure, cloudlayer, rackspace <- immediate for local - delay on remote
S3 eventual consistency
Can you setup policies for who can access files. delegated billing?
nirvanix storage and usage limits per subaccount, fine grained access within application
nirvanix - rest and soap - cloudnas nfs and cifs - physical cache on cloudnas
mezeo - webdav and rest
cloudfiles - rest
s3 and azure - rest and soap
PUT for overwrites
overwrite optional
118 bytes overhead for mezeo form
how mature is the api? the implementation? how many customers? call center? developed before?
Deal with Errors: How about retries? XML implies encoding problems... Deal with Concurrency: Google app engine factor.Deal with Cloud Complexity: Server outages/errors, Upgrades to Cloud APIs, Eventual Consistency, Changing endpoints, Changing signing methods, Chunking large values
works in google app engine
high performance
thread safe
enterprise ready
Abstractions
BlobStore ( atmos, azure, rackspace, s3 )
Compute ( ec2, rackspace, vcloud, gogrid...)
Clojure bindings
Stuff (stubs/filesystem providers, plugins...)
focused on semantic portability across clouds
I want an image running ubuntu and don’t want to know the id
absolute portability where possible, but expose vendor apis where needed
mix/in proprietary and portable features
integrate with outside tools, with blobstores that use sessions
support for content metadata such as disposition, encoding, language; used across compute/blobstore
saves files on your local disk

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