Transcript
The Next Generation of Emerging Technology ChallengesStephen FeldmanBlackboard, Inc.Product Development
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Why is it important to forecast technology in the future?
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o In many cases the technology is already here, but not adopted.
o The adoption curve is low, but needs instigation.o Bracing the population for transition before it is forced.
Forecasting Technology in the Future
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Interesting Misses from the Past
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RIP Pluto…we hardly knew you as a planet!
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Almost…but the deck’s been reshuffled!
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Apple Newton and the Palm Pilot
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What does the technology future really look like for Blackboard customers?
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Distributed Caching Systems
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What You Have Now You Won’t Miss!
Self-Contained Cache Per Server
Embedded CacheSystem
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Distributed Caching Engines
MEMORYSAVINGS
Traffic Reduced
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Distributed Caching Engines
SharedCaching
TransparentFailover
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Elastic Java Virtual Machines
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What is EM4J?
•Elastic Memory 4 Java
• Technology by VMWare through SpringSource Acquisition
• Memory ballooning capability
• Interaction between the application process and the guest operating system
• EM4J communicates at a VM level to share and move memory when needed.
• Can be used to “save” a process on the verge of capacity or workload spikes.
• Not required to reserve memory, with EM4J can over-commit memory resources beyond physical allocation to ESX.
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VMWare ESX Server: EM4J
Virtual Machine
Virtual Machine
Virtual Machine
Guest OS
Guest OS
Guest OS
JVM
JVM
JVM
Java Heap
Java Heap
Java Heap
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On-Demand Elasticity
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Why Elasticity On Demand Is Here to Stay
o Application adoption is aggressively increasing• In 2003, average user logged into Bb 3X per week and
spent an average of 7 minutes between 1st and last click.*
• In 2012, average user logged into Bb 1X per day and spent an average of 21 minutes between 1st and last click.*
o Maturity of LMS usage by faculty and students o Handling periods of predicted and unpredicted usage
• Periods of seasonality
• Spikes of usage
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Strategies for Elasticity
Push to the Cloud Solutions
Co-Locate Your Own Cloud
• Cost of Inventory• Sharing Infrastructure• Over-subscribing
resources• More universal control
c
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Third Party Analytics and Services
Analytics as a Service (AaaS)
o Market is wide open and looking for a market leadero Products like Google Analytics tell so little about what
really happens in an application• Need more than generic dashboards of hits, views, geo-
location, etc…
o Need companies that specialize in data scienceo Reduce Costs
o Support the Storage Demands
o Expertise in Data Science
o Accessibility of Analytics Findings to Community
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Other Services to Consider
o APM as a Service: New Relic and AppDynamicso Security as a Service: McAffee (Sentrigo for DBs),
Symantec and Simplifiedo Behavioral Analytics as a Service: Google Analyticso Infrastructure Monitoring as a Service: Pingdom,
Compuware and KeyNote
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