Forecast 2012 Panel: Cloud Transparency Krishnan Subramanian

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Moderator: Krishnan Subramanian, Principal Analyst, Rishidot

Defining Cloud Transparency
Buyer Side Concerns
Seller Side Limitations
ODCA’s Role

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Forecast 2012 Panel: Cloud Transparency Krishnan Subramanian

  1. 1. Rapid Fire Panel #2:Cloud Transparency 1
  2. 2. Rapid Fire Panel #2: Cloud Transparency Moderator Krishnan Subramanian Principal Analyst Panelists Matt Estes Joe Houle Director, Data Architecture Lead Technical Architect Eric J. Kristoff Rens Troost IT Director CEO Marvin Wheeler Chairman and Secretary 2
  3. 3. Cloud Transparency• Defining Cloud Transparency• Buyer Side Concerns• Seller Side Limitations• ODCA’s Role 3
  4. 4. General Migration Classes Three generic classes from which specific workload migration use cases can be built. • Relocate: Implies the workload can only be at one place at a time. It can be thought of as “moving” WL X WL the workload. • Extend: Extends the workload into new places. It can be thought of as WL WL “growing” the workload. • Sustain: Sustains the workload. It can be WL X WL thought of as “preserving” WL WL WL or “keeping” the workload. WL Page 4
  5. 5. Which Migration Class Can be Used toAddress the Various Motivations Migration ClassMotivation Relocate Extend SustainBusiness Disaster Recover DisasterContinuity AvoidanceResource Data Affinity Follow-The-MoonLocalityFollow-The-Sun Follow-The-Sun Lazy-Follow-The- Sun VariantDynamic Scaling Cloud BurstingData Center DC ClosureMigration Variant Page 5
  6. 6. Workload Migration Business Drivers• Business Continuity: Migrate or replicate workloads to ensure an orderly evacuation of a data center that has, or is anticipated to, experience failures, security breaches, or other disruptions. This encompasses both Disaster Recovery and Disaster Avoidance. Seasonal migrations of workloads in high-risk areas would also be included here.• Resource Locality: It is impossible, impractical, or too costly to bring data, or other resources, close to the compute environment. So, move the application and services closer to the needed resources. This could be driven by data volume, device requirements, power costs ("follow the moon"), data residency requirements, or other legal/regulatory restrictions.• Follow-the-Sun: Move workloads close to users based on geographic locations, time zone considerations, etc. This is performed on a proactive and scheduled basis. Follow-the-Sun is a special variant of resource locality where the users are the “resource” the workload needs to be close to.• Dynamic Scaling: May also be referred to as data center expansion or cloud bursting. It is the need to dynamically and elastically acquire and dispose of capacity. We include both real-time on-demand and proactively scheduled scaling. The benefit is that the clients (Cloud Subscribers) should no longer have to build for peak demand.• Data Center Migration: Move workloads to a new facility because the Cloud Subscriber is temporarily or permanently changing facilities. This could be driven by a data center consolidation program, or by terminating a relationship with a given Cloud Provider, for example. Page 6
  7. 7. Polling Question: Text the keyword to 22333 or tweet it to @OpenDataCenterWhat is the most pressing item to consider for cloud transparency? Operational interworking OPERATIONAL Regulatory concerns REGULATORY Visibility into service provider controls VISIBILITY 7
  8. 8. Resources Learn the latest about ODCA requirements PRIORITIZE at www.opendatacenteralliance.org Use ODCA PEAT Tool for Upcoming RFPs DELIVER Explore the Latest Solutions at ODCAs Cloud Expo Showcase Booth #411 Actively Participate in Todays Sessions #Forecast12 SHARE Scale your Knowledge with ODCA MEET MEET LOGO Forecast Reception. Build relationships with other IT experts while sipping cocktails and filling up on food from the roof of Sky Room, which offers stunning views of the New York City skyline. WHEN WHERE HOW 5:30 – 8:30 p.m. ET Sky Room Times Square Buses will begin running (330 West 40th Street) at 4:45pm from the Javits
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