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Talk I gave at a recent Shoreditch Village Hall for an IBM BlueMix meetup. Some high level Cloudant intro stuff, but then posing a more interesting question of whether the future of the Enterprise Cloud will actually be defined by the Service / People element of Managed Services vs the software / hosting bit. Hat tip to Simon Metson (@drsm79) for the initial idea behind this and coining the idea of Expertise as a Service
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Cloudant and the *aaS Landscape
Robin Smith, Cloudant Europe Market Development Manager [email protected] @robinsmith82
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• Introductions !
• Anatomy of the Cloudant Data Layer !
• IaaS, PaaS, DBaaS… EaaS !
• Start small, grow big
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▪ NoSQL based (CouchDB)
▪ JSON (JavaScript Object Notation) document data store
▪ Clustered in a ring
▪ Designed for highly concurrent access
▪ Data written to 3 DB nodes for resiliency
▪ Any node in cluster can service any request - no single point of failure
▪ Request routed internally to return data
▪ Writes go to disk, if quorum not met data safe and cluster “heals” itself
Load balancer
http(s) request GET /my_db/fred
{ “_id”: “fred”, “age”: 20 }
Anatomy of the Cloudant Data Layer
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▪ Mobile / web applications with large scale requirements
▪ Scale == data size ( GB -> TB)
▪ Scale == concurrency of users (00’s -> Ms)
▪ Systems / Databases of engagement
▪ NOT Systems / Databases of record
▪ Global data distribution
▪ Intermittently connected devices
Anatomy of the Cloudant Data Layer
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Anatomy of the Cloudant Data Layer
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IaaS
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IaaS
API
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DBaaS
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EaaS == Expertise as a Service !
Highly differentiated from other IaaS and even PaaS provider components
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The future of the Enterprise Cloud?
EaaS
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Start Small, Grow Big
£0 - <2 GB, <50k light & <10k heavy http requests / month
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- >1 TB data? -> Global data distribution? - > 90 concurrent connections? -> SLA (Risk / reward share)? -> DBA on demand? -> Custom, application specific, contracts around latency / availability / concurrency?
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Thank You!
