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Building Blocks for
Private and Hybrid Clouds



         August 8, 2012
     Watch the video of this webinar

                                       #rightscale
2#



Your Panel Today
Presenting
• Brian Adler, Sr. Professional Services Architect, RightScale
• Ryan Geyer, Sales Engineer, RightScale

Q&A
• Noel Cohen, Account Manager, RightScale




 Please use the “Questions” window to ask questions any time!


                                                                 #rightscale
3#



Agenda
•   Definitions and Terminology
•   Infrastructure Evolution
•   Private Cloud Key Considerations
•   Hybrid Clouds – Different things to different people
•   Use Cases for Private and Hybrid Clouds
•   Best Practices for Private/Hybrid Cloud Design and Implementation
    •   Design Considerations
    •   Hardware Consideration
    •   Software Considerations
    •   Implementation
    •   Management
• Conclusion/Q&A

                                                             #rightscale
4#



Definitions and Terminology
• Virtualization (server)
   • Division of one physical server into multiple isolated virtual environments
• Private Cloud
   • A collection of compute, storage, and network resources for a single tenant
     that are accessed programmatically via an API endpoint.
• Public Cloud
   • A similar set of resources that is multi-tenant and is provided by a cloud vendor
     with access via an API endpoint.
• Multi-Cloud
   • An environment that spans two or more separate clouds, be they both public,
     both private, or one (or more) of each.
• Hybrid Cloud
   • An environment that spans one or more public clouds as well as one or more
     private clouds.
                                                                          #rightscale
5#



Infrastructure Evolution
• Old school Datacenters
   • Racks of physical nodes, one application per node
   • It’s all we knew, it worked, and it was fine.
• Virtualization – The Early Years
   • Capability of a node outgrew the needs of any single application
       • Lots of idle resources on each node
   • Virtualization provided the ability to have a many-to-one (servers per
     node) relationship
       • This was better

• Cloudification (Virtualization grows up)
   • Automated provisioning and management via an API appears
       • This is much, much better




                                                                         #rightscale
6#



Private Cloud Key Considerations
• Workload and Infrastructure Interaction
   • Applications have different resource needs
   • Choose the right fit for your application and your infrastructure
• Security
   • Data may be contained within the private cloud, thus allowing for stricter
     security compliance
• Latency
   • Consumers of the private cloud resources are generally “closer” to the private
     cloud, which reduces latency
• User Experience
   • Related to latency, end user experience is enhanced due to proximity to
     resources.
• Cost
   • OPEX is generally reduced. (CAPEX is another story )
                                                                         #rightscale
7#



Hybrid Clouds
• What if application outgrows the private cloud?
• Common desire is for “cloud-bursting”
   • When private cloud resources are exhausted, a server tier expands into the
     public cloud to tap into the “infinite” resources
   • Considerations:
       •   Security – public Internet is traversed
       •   Latency – traversal of public Internet involves the Great Unknown
       •   Cost – bandwidth charges for public Internet traversal
       •   Complexity – setting up a secure environment is not a trivial task

• More common use case is multiple clouds in an organization, with
  multiple applications, and with each application contained entirely
  within a single cloud.




                                                                                #rightscale
8#



Hybrid Cloud Bursting

                                        PUBLIC
                                       INTERNET




          LOAD BALANCERS

           APP SERVERS                                            APP SERVERS

        MASTER DATABASE

           SLAVE DATABASE


            OBJECT STORAGE



                   PRIVATE CLOUD                    PUBLIC OR PRIVATE CLOUD


                                   Cloud Bursting




                                                                                #rightscale
9#



Use Cases
• Self-Service IT Portal (“IT Vending Machine”)
   • Test/Dev environment
   • Users select one of several preconfigured tech stacks
   • “Siloed” environments




                                                             #rightscale
10#



Use Cases
• Self-Service IT Portal (“IT Vending Machine”)
   • Demo




                                                  #rightscale
11#



Use Cases
• Scalable Applications with Uncertain Demand
   • Public cloud used as “proving ground” for new applications
   • If applications fail, they are allowed to run their course in the public cloud until
     they are end-of-lifed
   • If an application gains traction, it remains in the public cloud during its growth
     phase
   • When stability of workload is reached, the application is transitioned into the
     private cloud




                                                                               #rightscale
12#



Use Cases
• Disaster Recovery (DR)
   • Production environment in one cloud
   • DR environment in a second cloud
   • Most common configuration is the “Warm DR” scenario
       • Replicating slave in a second cloud
       • All other servers in non-operational state
       • Failure of production environment requires promotion of slave to master, launching of “standby”
         servers, and DNS reassignment




                                                                                                #rightscale
13#



Design Considerations
• Location of Physical Hardware
   • On-premise
       • Availability considerations (power, cooling, networking, etc.)
   • Hosted or Colocation facility
       • Accessibility of hardware for additions and/or modification
       • Latency to end users
       • Security

• Availability and Redundancy Configuration
   • Easiest configuration (single zone, single region, single API endpoint) does not
     promote high availability
       • Outage of API endpoint renders entire cloud unavailable
       • Power issues affect entire pool of resources
   • High Availability of cloud resources requires more complex configurations
       • Multiple zones, multiple regions (if possible/practical)
       • Multiple API endpoints
       • Redundant and segregated power and networking


                                                                             #rightscale
14#



Design Considerations/Options




     Simple Configuration
                            HA Configuration
     No HA or Redundancy



                                               #rightscale
15#



Design Considerations
• Intended Workloads and Use Cases
   • Does the application require high availability or is it tolerant of interruptions of
     service?
       • User-facing will most likely require HA.
       • Batch processing tasks may not.
   • Is flexibility of the infrastructure required for test-beds and/or proof-of-
     concepts?
       • Potential topologies and hardware options will be affected/limited
   • Does the application require (or greatly benefit from) high performance CPUs?
   • Does the application have high IOPS demands?
   • Are low-latency interconnects required?




                                                                               #rightscale
16#



Hardware Considerations
• Compute
   • Commodity
       • Allows for easy addition of capacity
       • Easy swap-out of failed components
   • High end/specialized
       •   May be required for intended workloads
       •   Limits available options
       •   Increases costs
       •   Complicates maintenance

• Networking
   • Driven by topology, latency demands, and price
   • Some cloud infrastructure software offerings have support for network hardware
     devices (load balancers in particular)
• Storage
   • Cost vs. Performance (commodity? SSD?, etc.)

                                                                        #rightscale
17#



Software Considerations
• Cloud Infrastructure Software
   • CloudStack, OpenStack, Eucalyptus, etc.
       • Open source vs. commercial
   • Dictates/influences other decisions regarding cloud implementation
   • Access to resources
       • Web interface
       • API

• Cloud Management Software
   • Abstracts underlying details of the cloud infrastructure offerings
   • Presents consistent interface to the available resources regardless of the
     underlying infrastructure provider
   • Provides a cloud-portable solution
   • Provides orchestration tools for provisioning and management



                                                                            #rightscale
18#



Implementation Process
• Hardware Procurement
   • Pre-existing or new?
       • Pre-existing limits ability to tailor infrastructure to workloads

• Cloud Infrastructure Software
   • This decision will dictate/limit many future decisions
   • Research options, and choose wisely!
• Cloud Topology
   • Zones, regions, storage allocation, HA considerations, etc.
• Build or Buy
   • Use in-house resources if expertise exists
   • Third-party resources
       • Build using existing resources
       • Build using new preconfigured hardware



                                                                             #rightscale
19#



Management Process
• Compatibility
   • Avoid vendor lock-in at IaaS level, hypervisor level, cloud infrastructure software
     level
• Unified Control/Security
   • “Single pane of glass” for user access, keys and credentials, etc.
• On-Demand, Self-Service Provisioning
   • Allow users to access resources without administrative intervention
• Focus on Applications
   • Core competency is in application development, so remove yourself from image
     management, automation, provisioning, etc.




                                                                             #rightscale
20#



Summary/Conclusions
• Private (and therefore hybrid) clouds were originally thought of as an
  academic exercise or science project
• Recent advances (particularly in cloud infrastructure software) have
  shown private and hybrid clouds to be viable IT delivery models
• Many considerations come into play
    •   Design
    •   Hardware
    •   Software
    •   Implementation Details                   Contact RightScale
• No “one size fits all”                              (866) 720-0208
                                                   sales@rightscale.com
    • Do your research. Find the right fit.
                                                    www.rightscale.com




                                                                 #rightscale

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Rightscale Webinar: Building Blocks for Private and Hybrid Clouds

  • 1. Building Blocks for Private and Hybrid Clouds August 8, 2012 Watch the video of this webinar #rightscale
  • 2. 2# Your Panel Today Presenting • Brian Adler, Sr. Professional Services Architect, RightScale • Ryan Geyer, Sales Engineer, RightScale Q&A • Noel Cohen, Account Manager, RightScale Please use the “Questions” window to ask questions any time! #rightscale
  • 3. 3# Agenda • Definitions and Terminology • Infrastructure Evolution • Private Cloud Key Considerations • Hybrid Clouds – Different things to different people • Use Cases for Private and Hybrid Clouds • Best Practices for Private/Hybrid Cloud Design and Implementation • Design Considerations • Hardware Consideration • Software Considerations • Implementation • Management • Conclusion/Q&A #rightscale
  • 4. 4# Definitions and Terminology • Virtualization (server) • Division of one physical server into multiple isolated virtual environments • Private Cloud • A collection of compute, storage, and network resources for a single tenant that are accessed programmatically via an API endpoint. • Public Cloud • A similar set of resources that is multi-tenant and is provided by a cloud vendor with access via an API endpoint. • Multi-Cloud • An environment that spans two or more separate clouds, be they both public, both private, or one (or more) of each. • Hybrid Cloud • An environment that spans one or more public clouds as well as one or more private clouds. #rightscale
  • 5. 5# Infrastructure Evolution • Old school Datacenters • Racks of physical nodes, one application per node • It’s all we knew, it worked, and it was fine. • Virtualization – The Early Years • Capability of a node outgrew the needs of any single application • Lots of idle resources on each node • Virtualization provided the ability to have a many-to-one (servers per node) relationship • This was better • Cloudification (Virtualization grows up) • Automated provisioning and management via an API appears • This is much, much better #rightscale
  • 6. 6# Private Cloud Key Considerations • Workload and Infrastructure Interaction • Applications have different resource needs • Choose the right fit for your application and your infrastructure • Security • Data may be contained within the private cloud, thus allowing for stricter security compliance • Latency • Consumers of the private cloud resources are generally “closer” to the private cloud, which reduces latency • User Experience • Related to latency, end user experience is enhanced due to proximity to resources. • Cost • OPEX is generally reduced. (CAPEX is another story ) #rightscale
  • 7. 7# Hybrid Clouds • What if application outgrows the private cloud? • Common desire is for “cloud-bursting” • When private cloud resources are exhausted, a server tier expands into the public cloud to tap into the “infinite” resources • Considerations: • Security – public Internet is traversed • Latency – traversal of public Internet involves the Great Unknown • Cost – bandwidth charges for public Internet traversal • Complexity – setting up a secure environment is not a trivial task • More common use case is multiple clouds in an organization, with multiple applications, and with each application contained entirely within a single cloud. #rightscale
  • 8. 8# Hybrid Cloud Bursting PUBLIC INTERNET LOAD BALANCERS APP SERVERS APP SERVERS MASTER DATABASE SLAVE DATABASE OBJECT STORAGE PRIVATE CLOUD PUBLIC OR PRIVATE CLOUD Cloud Bursting #rightscale
  • 9. 9# Use Cases • Self-Service IT Portal (“IT Vending Machine”) • Test/Dev environment • Users select one of several preconfigured tech stacks • “Siloed” environments #rightscale
  • 10. 10# Use Cases • Self-Service IT Portal (“IT Vending Machine”) • Demo #rightscale
  • 11. 11# Use Cases • Scalable Applications with Uncertain Demand • Public cloud used as “proving ground” for new applications • If applications fail, they are allowed to run their course in the public cloud until they are end-of-lifed • If an application gains traction, it remains in the public cloud during its growth phase • When stability of workload is reached, the application is transitioned into the private cloud #rightscale
  • 12. 12# Use Cases • Disaster Recovery (DR) • Production environment in one cloud • DR environment in a second cloud • Most common configuration is the “Warm DR” scenario • Replicating slave in a second cloud • All other servers in non-operational state • Failure of production environment requires promotion of slave to master, launching of “standby” servers, and DNS reassignment #rightscale
  • 13. 13# Design Considerations • Location of Physical Hardware • On-premise • Availability considerations (power, cooling, networking, etc.) • Hosted or Colocation facility • Accessibility of hardware for additions and/or modification • Latency to end users • Security • Availability and Redundancy Configuration • Easiest configuration (single zone, single region, single API endpoint) does not promote high availability • Outage of API endpoint renders entire cloud unavailable • Power issues affect entire pool of resources • High Availability of cloud resources requires more complex configurations • Multiple zones, multiple regions (if possible/practical) • Multiple API endpoints • Redundant and segregated power and networking #rightscale
  • 14. 14# Design Considerations/Options Simple Configuration HA Configuration No HA or Redundancy #rightscale
  • 15. 15# Design Considerations • Intended Workloads and Use Cases • Does the application require high availability or is it tolerant of interruptions of service? • User-facing will most likely require HA. • Batch processing tasks may not. • Is flexibility of the infrastructure required for test-beds and/or proof-of- concepts? • Potential topologies and hardware options will be affected/limited • Does the application require (or greatly benefit from) high performance CPUs? • Does the application have high IOPS demands? • Are low-latency interconnects required? #rightscale
  • 16. 16# Hardware Considerations • Compute • Commodity • Allows for easy addition of capacity • Easy swap-out of failed components • High end/specialized • May be required for intended workloads • Limits available options • Increases costs • Complicates maintenance • Networking • Driven by topology, latency demands, and price • Some cloud infrastructure software offerings have support for network hardware devices (load balancers in particular) • Storage • Cost vs. Performance (commodity? SSD?, etc.) #rightscale
  • 17. 17# Software Considerations • Cloud Infrastructure Software • CloudStack, OpenStack, Eucalyptus, etc. • Open source vs. commercial • Dictates/influences other decisions regarding cloud implementation • Access to resources • Web interface • API • Cloud Management Software • Abstracts underlying details of the cloud infrastructure offerings • Presents consistent interface to the available resources regardless of the underlying infrastructure provider • Provides a cloud-portable solution • Provides orchestration tools for provisioning and management #rightscale
  • 18. 18# Implementation Process • Hardware Procurement • Pre-existing or new? • Pre-existing limits ability to tailor infrastructure to workloads • Cloud Infrastructure Software • This decision will dictate/limit many future decisions • Research options, and choose wisely! • Cloud Topology • Zones, regions, storage allocation, HA considerations, etc. • Build or Buy • Use in-house resources if expertise exists • Third-party resources • Build using existing resources • Build using new preconfigured hardware #rightscale
  • 19. 19# Management Process • Compatibility • Avoid vendor lock-in at IaaS level, hypervisor level, cloud infrastructure software level • Unified Control/Security • “Single pane of glass” for user access, keys and credentials, etc. • On-Demand, Self-Service Provisioning • Allow users to access resources without administrative intervention • Focus on Applications • Core competency is in application development, so remove yourself from image management, automation, provisioning, etc. #rightscale
  • 20. 20# Summary/Conclusions • Private (and therefore hybrid) clouds were originally thought of as an academic exercise or science project • Recent advances (particularly in cloud infrastructure software) have shown private and hybrid clouds to be viable IT delivery models • Many considerations come into play • Design • Hardware • Software • Implementation Details Contact RightScale • No “one size fits all” (866) 720-0208 sales@rightscale.com • Do your research. Find the right fit. www.rightscale.com #rightscale