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CPN211 My Datacenter Has Walls That Move - AWS re: Invent 2012
 

CPN211 My Datacenter Has Walls That Move - AWS re: Invent 2012

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How do you think about computing resources in a world where you can launch and terminate computational capacity in minutes? Amazon EC2 provides a powerful platform to access vast computational ...

How do you think about computing resources in a world where you can launch and terminate computational capacity in minutes? Amazon EC2 provides a powerful platform to access vast computational resources at the click of a button or a simple API call. It is also very different from operating your own data center or having to managed fix assets in a co-location facility. This talk walks you through examples of how the cloud enables more efficient capacity planning, provides guidance in how developers and organizations can manage thousands of instances efficiently, and highlights tools that make it easy for you to plan your capacity needs, even when those needs might require you to provision the equivalent of a small data center at short notice.

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    CPN211 My Datacenter Has Walls That Move - AWS re: Invent 2012 CPN211 My Datacenter Has Walls That Move - AWS re: Invent 2012 Presentation Transcript

    • My Datacenter Has Walls That Move Deepak Singh Principal Product Manager - Amazon EC2#reinvent
    • http://www.wired.com/wiredenterprise/2011/12/nonexistent-supercomputer/
    • Image: Windsordi
    • Image: wdr3
    • NewCo
    • Small biotech
    • New business unit Small biotech
    • Image: EMSL
    • Algorithms
    • AlgorithmsBioinformatics
    • Algorithms BioinformaticsScientific Analysis
    • More servers?
    • Space?
    • Power?
    • Risk
    • Capital
    • Big project
    • Good problem to have?
    • Image: Joriel Jimenez
    • Constraints
    • CPU Memory DiskNetworking Power Cooling
    • Credit: Pieter Musterd
    • Remove constraintsCredit: Pieter Musterd
    • Embrace change
    • Not constrained by ...
    • Space
    • Power & Cooling
    • Capital
    • Agents of change
    • 1. On Demand computing
    • For when you needFor whom you need
    • 2. Elasticity
    • Rinse, Repeat
    • 3. Flexibility
    • Choose the right instance type
    • For when you needFor whom you needFor what you need
    • Most Apps Low Cost M1 Standard M3 Standard Most Apps Fast High CPU Scale-out Compute Memory-intensive High Memory AppsCompute + Network Througput Micro Inexpensive Cluster Compute Memory-intensive Cluster Computing Cluster High Memory Lots of low-latency Cluster GPU Parallel GPGPU Computing IOPS High I/O Petabyte Scale Lots of Throughput High Storage
    • Choose the right price
    • For when you need For whom you need For what you needFor how much you need
    • Reserved Instances
    • Light UtilizationMedium Utilization Heavy Utilization
    • Spot Instances
    • 100% On-demand Reserved capacity
    • What is the value of my data?
    • How much am I willing to pay for a compute cycle?
    • Ask yourself theright questions
    • NewCo
    • What is the baseline for each team?Image: Mad African
    • What is the length of a typical project?Image: Peter Morville
    • Are we using the right instance type(s)?
    • Can we leverage Spot Instances?
    • Adapt over time
    • Remove constraintsCredit: Pieter Musterd
    • Making it real
    • Source: Adrian Cockroft (Netflix)
    • Multiple applications
    • Different utilization
    • Source: Adrian Cockroft (Netflix)
    • Spiky
    • Long term forecast?
    • Not easy
    • Find the rightinstance type(s)
    • c1?m3?cc2?
    • Cover your baseline
    • Light Utilization RI
    • On Demand +Spot Instances
    • Source: Adrian Cockroft (Netflix)
    • Daily usage
    • Occasional spikes
    • Elastic MapReduce +Reserved Instances + Spot Instances
    • Source: Adrian Cockroft (Netflix)
    • Growth over time
    • Planning horizon
    • Months
    • Weeks
    • Days
    • Less risk
    • Accurate forecasts
    • BetterAccurate forecasts
    • Global infrastructure
    • 9 regions25 availability zones38 edge locations
    • International expansion
    • Disaster recovery
    • Geographic replication
    • Hot spare
    • In Conclusion
    • Think beyond the data center
    • What you need
    • When you need
    • Where you need
    • We are sincerely eager to hear your feedback on thispresentation and on re:Invent. Please fill out an evaluation form when you have a chance.