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Identifying Workloads toMove to the Cloud October 4, 2011 Watch the video of this webinar
Your Panel Today Presenting ,[object Object]
PavelPragin, PS Architect, RightScale  Q&A  Jason Dorfman, Account Manager, RightScale Please use the “Questions” window to ask questions any time!
Agenda Characteristics of Ideal Workloads Scalable Web Apps – Social Media/Gaming Batch Processing – Encoding Disaster Recovery (DR) Multi-Region/Cloud Characteristics of Bad Workloads Live Q&A Please use the “Questions” window to ask questions any time!
CLOUD IS FOR EVERYONE,NOT EVERYTHING Not Every App Every Firm
RightScale Delivers Workload Deployment Freedom Application Portfolio Requirements Filter Resource Pools Public Cloud App 1 Performance App 1 App 2 Cost App 2 Private Cloud 1 Security App 3 App 3 Compliance … … Internal DC Reliability App N App N It’s about using multiple resource pools, not choosing one.
Characteristics of Great Workloads  Unpredictable load or explosive growth potential Social gaming Software as a service product launch eCommerce Blogs Partial utilization Seasonal eCommerce load Month/Quarter/Year end data consolidation (batch processing) Applications that are easily parallelized (scale out, not up) Media streaming Websites/applications
Identifying Workloads to Move to the Cloud Scalable Web Apps
Scalable Web AppsChallenges Unpredictable traffic spikes Need to scale exponentially Need high level of automation
Scalable Web AppsCloud Strengths Autoscaling capability Unlimited resources on demand Pay for what you use RightScale enables automation and eases operations
Example Scalable Web App Architecture
Example Scalable Web App Architecture AMQP
Example Scalable Web App Architecture AMQP Load Balanced Riak
Example Scalable Web App Architecture MySQL DB Tier
Example Scalable Web App Architecture MySQL DB Tier Memcached
Example Scalable Web App Architecture Auto Scaling Python App Tier
Identifying Workloads to Move to the Cloud Batch Processing
Batch ProcessingChallenges Need extremely high processing power Need to process huge workloads Need to process workloads fast Fluctuating utilization cycle
Batch ProcessingCloud Strengths Autoscaling on demand using metrics Bring up large numbers of servers fast Throw huge numbers of servers at the problem Pay for what you use and when you need it
Example Batch Processing Architecture
Example Batch Processing Architecture Auto Scaling Application Tier (Squeeze)
Example Batch Processing Architecture MySQL DB Tier
Identifying Workloads to Move to the Cloud Disaster Recovery
Disaster RecoveryChallenges Need infrastructure in a different location Don’t want to pay for hardware and not use it Need to be able to launch a new deployment anywhere fast Affordable disaster recovery
Disaster RecoveryCloud Strengths Use any public and/or private cloud Run a scaled down deployment replica Replicating slave DB is the only “always on” server Use RightScripts and ServerTemplates to spin up deployments fast anywhere Launch the rest of the servers in your deployment Promote replicating slave DB to master High level of automation for smoother failover
Example Disaster Recovery Architecture
Example Disaster Recovery Architecture Slave DB’s (Always On)
Identifying Workloads to Move to the Cloud Multi-Region / Multi-Cloud
Multi-Region / Multi-CloudChallenges No public cloud in needed location Need to burst to public cloud Need better performance High cost of public cloud at huge scale Challenges and costs of DR
Multi-Region / Multi-CloudCloud Strengths RightScale enables you to deploy in multiple clouds and regions seamlessly Private cloud can be set up in any datacenter anywhere Burst to public cloud for more resources Achieve better performance with private cloud Save money by using your own hardware with private cloud at large scale
Example Multi-Region/Multi-Cloud Workload Architecture
Example Multi-Region/Multi-Cloud Workload Architecture Global Traffic Management via DNS
Example Multi-Region/Multi-Cloud Workload Architecture Database Tier Replicated over SSL
Characteristics of Bad Workloads Very high performance applications (Disk I/O and Network) Databases with very high I/O requirements Application with very high I/O requirements No tolerance for I/O performance fluctuations High performance storage Poor application design Legacy and Enterprise Apps Low Latency Database Replication and Clustering that requires very high network throughput Legacy and Enterprise Apps Need for high performance network storage Hardware dependency

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Identifying Workloads to Move to the Cloud

  • 1. Identifying Workloads toMove to the Cloud October 4, 2011 Watch the video of this webinar
  • 2.
  • 3. PavelPragin, PS Architect, RightScale Q&A Jason Dorfman, Account Manager, RightScale Please use the “Questions” window to ask questions any time!
  • 4. Agenda Characteristics of Ideal Workloads Scalable Web Apps – Social Media/Gaming Batch Processing – Encoding Disaster Recovery (DR) Multi-Region/Cloud Characteristics of Bad Workloads Live Q&A Please use the “Questions” window to ask questions any time!
  • 5. CLOUD IS FOR EVERYONE,NOT EVERYTHING Not Every App Every Firm
  • 6. RightScale Delivers Workload Deployment Freedom Application Portfolio Requirements Filter Resource Pools Public Cloud App 1 Performance App 1 App 2 Cost App 2 Private Cloud 1 Security App 3 App 3 Compliance … … Internal DC Reliability App N App N It’s about using multiple resource pools, not choosing one.
  • 7. Characteristics of Great Workloads Unpredictable load or explosive growth potential Social gaming Software as a service product launch eCommerce Blogs Partial utilization Seasonal eCommerce load Month/Quarter/Year end data consolidation (batch processing) Applications that are easily parallelized (scale out, not up) Media streaming Websites/applications
  • 8. Identifying Workloads to Move to the Cloud Scalable Web Apps
  • 9. Scalable Web AppsChallenges Unpredictable traffic spikes Need to scale exponentially Need high level of automation
  • 10. Scalable Web AppsCloud Strengths Autoscaling capability Unlimited resources on demand Pay for what you use RightScale enables automation and eases operations
  • 11. Example Scalable Web App Architecture
  • 12. Example Scalable Web App Architecture AMQP
  • 13. Example Scalable Web App Architecture AMQP Load Balanced Riak
  • 14. Example Scalable Web App Architecture MySQL DB Tier
  • 15. Example Scalable Web App Architecture MySQL DB Tier Memcached
  • 16. Example Scalable Web App Architecture Auto Scaling Python App Tier
  • 17. Identifying Workloads to Move to the Cloud Batch Processing
  • 18. Batch ProcessingChallenges Need extremely high processing power Need to process huge workloads Need to process workloads fast Fluctuating utilization cycle
  • 19. Batch ProcessingCloud Strengths Autoscaling on demand using metrics Bring up large numbers of servers fast Throw huge numbers of servers at the problem Pay for what you use and when you need it
  • 20. Example Batch Processing Architecture
  • 21. Example Batch Processing Architecture Auto Scaling Application Tier (Squeeze)
  • 22. Example Batch Processing Architecture MySQL DB Tier
  • 23. Identifying Workloads to Move to the Cloud Disaster Recovery
  • 24. Disaster RecoveryChallenges Need infrastructure in a different location Don’t want to pay for hardware and not use it Need to be able to launch a new deployment anywhere fast Affordable disaster recovery
  • 25. Disaster RecoveryCloud Strengths Use any public and/or private cloud Run a scaled down deployment replica Replicating slave DB is the only “always on” server Use RightScripts and ServerTemplates to spin up deployments fast anywhere Launch the rest of the servers in your deployment Promote replicating slave DB to master High level of automation for smoother failover
  • 27. Example Disaster Recovery Architecture Slave DB’s (Always On)
  • 28. Identifying Workloads to Move to the Cloud Multi-Region / Multi-Cloud
  • 29. Multi-Region / Multi-CloudChallenges No public cloud in needed location Need to burst to public cloud Need better performance High cost of public cloud at huge scale Challenges and costs of DR
  • 30. Multi-Region / Multi-CloudCloud Strengths RightScale enables you to deploy in multiple clouds and regions seamlessly Private cloud can be set up in any datacenter anywhere Burst to public cloud for more resources Achieve better performance with private cloud Save money by using your own hardware with private cloud at large scale
  • 32. Example Multi-Region/Multi-Cloud Workload Architecture Global Traffic Management via DNS
  • 33. Example Multi-Region/Multi-Cloud Workload Architecture Database Tier Replicated over SSL
  • 34. Characteristics of Bad Workloads Very high performance applications (Disk I/O and Network) Databases with very high I/O requirements Application with very high I/O requirements No tolerance for I/O performance fluctuations High performance storage Poor application design Legacy and Enterprise Apps Low Latency Database Replication and Clustering that requires very high network throughput Legacy and Enterprise Apps Need for high performance network storage Hardware dependency
  • 35.
  • 37. Ask questions at the Genius Bar

Editor's Notes

  1. Telcos built point-2-point networks for their customers
  2. PAVELOverview: Today’s webinar focuses on great and not so great workloads for the Cloud and our experiences from in the field!
  3. PAVEL
  4. PAVELCloud Computing is for every organization, maybe not for every workloadWe can help you determine which of your workloads are good for the cloud, and also which belong in which cloud. Public/Private/Hybrid
  5. PAVEL
  6. RYAN
  7. RYANTelcosbuilt point-2-point networks for their customers
  8. RYANTelcosbuilt point-2-point networks for their customers
  9. RYANHighlighting boring pieces first, autoscaling last
  10. RYANAMQP ServersRabbitMQ & CelerydNot auto scaling, easily manually scaled
  11. RYANKey/Value data from AMQP events Load balanced riak tierNot auto scaling, easily manually scaled
  12. RYANMySQL DB tierMaster & read slaves, easily scaled to include more read slaves
  13. RYANDB Frontended by Memcached
  14. RYANAuto scaling app tierAutomatically connects to ELB using scriptConfigured to communicate w/ AMQP and DB with RightScripts & Inputs
  15. PAVEL
  16. PAVEL
  17. PAVEL
  18. PAVELHighlight Squeeze portion of infrastructureMySQL DBs used for queuing
  19. PAVELHighlight Squeeze portion of infrastructureMySQL DBs used for queuing
  20. PAVELHighlight Squeeze portion of infrastructureMySQL DBs used for queuing
  21. RYAN
  22. RYAN
  23. RYAN
  24. RYANThis is only the DR location3 slave DB’s replicated from production – Only always live serversEverything else non-operationalWhen you execute DR plan you follow procedure to launch servers in proper order – all automated by RSFailover DB to slavesCutover DNS
  25. RYANThis is only the DR location3 slave DB’s replicated from production – Only always live serversEverything else non-operationalWhen you execute DR plan you follow procedure to launch servers in proper order – all automated by RSFailover DB to slavesCutover DNS
  26. PAVEL
  27. PAVEL
  28. PAVEL
  29. PAVELHighlight DB servers on both sidesHighlight Global Traffic Manager
  30. PAVELHighlight DB servers on both sidesHighlight Global Traffic Manager
  31. PAVELHighlight DB servers on both sidesHighlight Global Traffic Manager
  32. PAVELMaybe not necessarily characteristics of bad workloads, but a decision making process RE: when you would elect to move a workload to the cloud. Consider cost/infrastructure and design/level of effort/dynamic workloadCloud Computing is for every organization, maybe not for every workloadWe can help you determine which of your workloads are good for the cloud, and also which belong in which cloud. Public/Private/Hybrid
  33. RYANCloud Computing is for every organization, maybe not for every workloadWe can help you determine which of your workloads are good for the cloud, and also which belong in which cloud. Public/Private/Hybrid