InterConnect2017
Russ KennedyVice President, Product Strategyand Customer SuccessIBM Cloud Object Storage
IBM Cloud Object Storagefor the Cognitive Cloud
@rkenn5
Cognitivesolutions
Cognitive solutions ingestdata of all forms, structuredand unstructured, understandthat data, learn from it, andreason through it
Storage architecture needs to managehyper growth and evolving workloadsto help unlock data value
• Any app, any source, any business
• Flexible, massive scale withoutroadblocks
• Enabling innovation, discovery,new experiences
In other words, cognitive-aware
Traditional approaches just don’tmeasure up
Today, data is your businessHow you manage and storedata is critical
On-Prem• Compliance and control
• Leverage existing assets
Cloud• Elasticity• Unlimited scale• Global reach• As-a-service pricing for
dynamic workloads
Flexibility in developingapps and leveraging content
Consistent, uniform and openprogramming interfaces
Ready for cognitive analytics
New needs demand a new storage architecture
IBM Cloud Object StorageIndustry leading flexibility, scalability and simplicity
On-Premise
• Single tenant
• Design specific to client needs
• Total control of system
• On-premise compute and dataco-located
Dedicated
• Single tenant (compliant)
• No datacenter space required
• Flexible configuration options
• OPEX vs CAPEX
Public
• Multi-tenant
• Usage-based pricing
• Elastic capacity
• No datacenter spacerequired
• Fully managed
• In-cloud computeand data co-located
• OPEX vs CAPEX
Hybrid
Consistent, uniform, and open technology across on-prem,dedicated and public cloud makes it simpler and more efficient tomanage data, workloads, and business processes
Always-onAvailability
• Tolerates even a catastrophic regional outage without down time or interruption in service• Continuous availability architecture• Client has the choice of Regional or Cross Regional deployment
Built-inSecurity
• Protects against digital and physical breeches• Provides strong data-at-rest confidentiality by combining encryption and information dispersal.
Better CloudStorage Economics
• More cost-efficient than legacy cloud providers• Lower overall bandwidth and per transaction costs• Enterprise class support included at no additional cost.
Simplicity
• Immediate consistency (v. eventual consistency) makes application development simpler• Integrated with other cloud services in the IBM Cloud, IBM Bluemix, IBM Watson, IBM Video Services• More flexible, open interfaces: Supporting both S3 and OpenStack Swift• No “black boxes”: Full transparency of how the technology delivers durability, availability, and security
IBM Cloud Object StorageRedefines availability, security and economics of data storage
Our SecureSlice and information dispersal technologyredefine security and availability of stored data
Encrypts data
Transforms,expands, slicesdata
Decrypts data
Decodes data
Our technology ensures:
• Data is available, even in the face of a regional outage• Data is protected with no external key management
required, even in the face of regional security breach
Dispersesslices of dataacross regions
Retrievesdata with asubset of theslices
*
*All-Or-Nothing transform
EncryptionDecryption
* *
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IBM Cloud Object Storage Public Cloud Servicesdesigned for today’s dynamic workloads
ExabytesTerabytes
IBM Cloud Object Storage Flex
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Capacity
New
IBM CloudObject StorageVault
IBM CloudObject StorageCold Vault
IBM CloudObject StorageStandard
NewVariable data accesspattern / Mixed workloads
Predictabledata accesspattern /workload
Frequentdata access
Less frequentdata access
Minimaldata access
9Page© 2017 IBM Corporation
IBM Cloud Object Storage: public cloud servicesTwo consumption models, flexible storage and retrieval options
Standard:For active data, accessed multiple times a monthUse cases: Cognitive, Analytics, Mobile, Web App, Collaboration and DevOps
Vault:For less active data, accessed once a month or lessUse cases: Back-up, digital asset retention, and Business Continuity
Cold Vault:For long term data retention
Use cases: Archiving, Long term backup, Regulatory Compliance
Services are idealfor predictabledata access patterns
Services are idealfor unpredictabledata access patterns
Flex:For dynamic data, access frequency varies monthly or for mixed ’hot’ and ’cold’workloads
Use cases: Native-cloud workloads where data is cold today and hot tomorrow
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