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On-demand Production
Infrastructure
Just-in-Time IT Infrastructure
Presented by: Shane Guthrie, Equinix
Innovation, Office of the CTO
Key Characteristics of JIT Provisioning
• Allocation of resources as needed to accomplish a
production task.
• Utilizing commodity resource pools to fulfill production
demands.
• Pre-defined methods of integrating different resource
pools together to appear as one production
architecture.
• Programmatically triggered upon demand or policy.
Why JIT Provisioning
• The economics of commodity resource pools are
too disruptive to ignore.
• M&E Productions need to effectively leverage
massive Service Provider Capital Investments
across compute, storage, and network.
• Production costs and risks should be spread
amongst production participants as resources are
consumed.
Reduce Costs: Abstract, then
Commoditize
• Server
• Storage
• Circuit
Physical
• Virtual Server
• Volumes on
NAS and SAN
• Virtual
Circuits
Virtual
• PaaS
• NFV
• SaaS
• IaaS
• Object Stores
Abstracted
OS Console Frameworks API
Efficiency Pressure
Cloud Disruption:
Abstract, then Commoditize
• The Economics of Virtualization are
inescapable – cost management and
flexibility requirements demand
more granular controls.
• The development of flexible
Provisioning Frameworks have
spawned a new age of multi-vendor,
heterogeneous infrastructure to
expose these controls.
• Management systems have become
increasingly more complex and
capable, allowing for policy
application across heterogeneous
infrastructure by using these
frameworks.
• The search for new, abstracted
Control Points has become critical to
these new Management Systems.
Nascent:
Network
(SDN and
NFV)
Mature:
Storage
(SaaS)
Mature:
Compute
(IaaS)
Mature: Apps
(PaaS)
Leverage Wireline Infrastructure
Investment
$25
$26
$27
$28
$29
2010 2011 2012 2013
US Wireline Capex 2010-2013
Spend in Blns
Source: US Telecom
The wireline portion of the $1.3
trillion in broadband provider capital
expenditures from 1996 through
2013 was 52 percent. The wireline
segment continued to contribute a
significant portion of industry capital
in 2013, 37 percent of total spend.
Network Commoditization =
Opportunity
• Metro Ethernet capacity glut will require new
provisioning strategies to achieve scale
• Excess long-haul capacity as CSP Intra-regional
replication reduces utilization
• SDN Automation is a must to reduce opex and
attract Provisioning Engine Integration
Today: Compute and Storage
Infrastructure Provisioning
Abstracted
• Manual Processes and Extended
Timeframes required to provision
core network and some CSP
infrastructure.
• Workflow Integration to
Management Frameworks
beginning, but missing network
resource allocation capabilities.
• Workflow systems operate on
statically defined topologies.
Next: Full Infrastructure
Provisioning Abstraction
• Manual Processes and Extended
Timeframes eliminated for
Orchestrated API calls.
• Workflow Integration to
Frameworks allows users to
provision ALL resource pool
infrastructure – Servers, Storage,
Network.
• Workflow systems operate
dynamically to infrastructure.
Abstraction drives Evolution of Tools
• User View: Workflow tools now become mechanism to provision infrastructure
– Example Tools: 5th Kind, Front Porch Digital
• Administrator View: Resource Management and Workload Migration tools
– Example Provisioning Engines: Migration Accelerator for Azure, Docker for GCP, Cisco
Intercloud, AWS Console VM Import/Export, VMware vRealize, Right Scale, HotLink,
OpenStack
• PaaS Frameworks allow for Applications to be readily provisioned in either private
or public infrastructure as needed:
– Example PaaS Frameworks: Azure Cloud Services, Google App Engines, AWS Elastic Beanstalk,
Apprenda, AppFog,
• Network Provisioning becomes virtualized and programmatically provisioned:
– Examples of SDN Frameworks: Equinix EPN, Cisco Intercloud
Abstracted tools need Exchange Points
• Need a centralized, neutral provisioning point to
apply policy and signal topology changes.
• This ‘Exchange Point’ becomes a ‘provisioning
hub’ for all physical and virtual infrastructure in
the topology.
• This point needs to access all resource pools via
high-speed, low latency interconnection
methods.
Public Cloud Private Cloud
Workflow
Production Partners
Remote
Production
Partners
On-Location Media On-
Ramp
SDN Control
Central Storage and Policy
Workflow-Driven Infrastructure
Pre-Production
Bid Package
Award Shot to
VFX House
Award Trailer to Vendor
Production
Post-Production
RAW
Capture
Meta Data
Video Capture Dirty Pass
Validate
Color / Meta Data
Clean Pass
Trailer Cut
Ingested
VFX Shots
Status Updates
Compare Cut to VFX Status to
catch any cost impacts
Editorial
VFX HouseTrailer House
Media & Entertainment Exchange
On Demand Software Defined Networking
In Summary
• Leverage Commodity Resource Pools – let someone
else do long-term capacity planning
• Provision via abstracted interfaces to allow for vendor
diversity
• Select providers based upon neutrality and pre-
integration to tools and frameworks
• Exchange providers should provide programmatic, low
latency, high bandwidth access to majority of required
resource pools

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On-Demand Production Infrastructure delivered Just In Time By Shane Guthrie of Equinix

  • 1. On-demand Production Infrastructure Just-in-Time IT Infrastructure Presented by: Shane Guthrie, Equinix Innovation, Office of the CTO
  • 2. Key Characteristics of JIT Provisioning • Allocation of resources as needed to accomplish a production task. • Utilizing commodity resource pools to fulfill production demands. • Pre-defined methods of integrating different resource pools together to appear as one production architecture. • Programmatically triggered upon demand or policy.
  • 3. Why JIT Provisioning • The economics of commodity resource pools are too disruptive to ignore. • M&E Productions need to effectively leverage massive Service Provider Capital Investments across compute, storage, and network. • Production costs and risks should be spread amongst production participants as resources are consumed.
  • 4. Reduce Costs: Abstract, then Commoditize • Server • Storage • Circuit Physical • Virtual Server • Volumes on NAS and SAN • Virtual Circuits Virtual • PaaS • NFV • SaaS • IaaS • Object Stores Abstracted OS Console Frameworks API Efficiency Pressure
  • 5. Cloud Disruption: Abstract, then Commoditize • The Economics of Virtualization are inescapable – cost management and flexibility requirements demand more granular controls. • The development of flexible Provisioning Frameworks have spawned a new age of multi-vendor, heterogeneous infrastructure to expose these controls. • Management systems have become increasingly more complex and capable, allowing for policy application across heterogeneous infrastructure by using these frameworks. • The search for new, abstracted Control Points has become critical to these new Management Systems. Nascent: Network (SDN and NFV) Mature: Storage (SaaS) Mature: Compute (IaaS) Mature: Apps (PaaS)
  • 6. Leverage Wireline Infrastructure Investment $25 $26 $27 $28 $29 2010 2011 2012 2013 US Wireline Capex 2010-2013 Spend in Blns Source: US Telecom The wireline portion of the $1.3 trillion in broadband provider capital expenditures from 1996 through 2013 was 52 percent. The wireline segment continued to contribute a significant portion of industry capital in 2013, 37 percent of total spend.
  • 7. Network Commoditization = Opportunity • Metro Ethernet capacity glut will require new provisioning strategies to achieve scale • Excess long-haul capacity as CSP Intra-regional replication reduces utilization • SDN Automation is a must to reduce opex and attract Provisioning Engine Integration
  • 8. Today: Compute and Storage Infrastructure Provisioning Abstracted • Manual Processes and Extended Timeframes required to provision core network and some CSP infrastructure. • Workflow Integration to Management Frameworks beginning, but missing network resource allocation capabilities. • Workflow systems operate on statically defined topologies.
  • 9. Next: Full Infrastructure Provisioning Abstraction • Manual Processes and Extended Timeframes eliminated for Orchestrated API calls. • Workflow Integration to Frameworks allows users to provision ALL resource pool infrastructure – Servers, Storage, Network. • Workflow systems operate dynamically to infrastructure.
  • 10. Abstraction drives Evolution of Tools • User View: Workflow tools now become mechanism to provision infrastructure – Example Tools: 5th Kind, Front Porch Digital • Administrator View: Resource Management and Workload Migration tools – Example Provisioning Engines: Migration Accelerator for Azure, Docker for GCP, Cisco Intercloud, AWS Console VM Import/Export, VMware vRealize, Right Scale, HotLink, OpenStack • PaaS Frameworks allow for Applications to be readily provisioned in either private or public infrastructure as needed: – Example PaaS Frameworks: Azure Cloud Services, Google App Engines, AWS Elastic Beanstalk, Apprenda, AppFog, • Network Provisioning becomes virtualized and programmatically provisioned: – Examples of SDN Frameworks: Equinix EPN, Cisco Intercloud
  • 11. Abstracted tools need Exchange Points • Need a centralized, neutral provisioning point to apply policy and signal topology changes. • This ‘Exchange Point’ becomes a ‘provisioning hub’ for all physical and virtual infrastructure in the topology. • This point needs to access all resource pools via high-speed, low latency interconnection methods.
  • 12. Public Cloud Private Cloud Workflow Production Partners Remote Production Partners On-Location Media On- Ramp SDN Control Central Storage and Policy
  • 13. Workflow-Driven Infrastructure Pre-Production Bid Package Award Shot to VFX House Award Trailer to Vendor Production Post-Production RAW Capture Meta Data Video Capture Dirty Pass Validate Color / Meta Data Clean Pass Trailer Cut Ingested VFX Shots Status Updates Compare Cut to VFX Status to catch any cost impacts Editorial VFX HouseTrailer House Media & Entertainment Exchange On Demand Software Defined Networking
  • 14. In Summary • Leverage Commodity Resource Pools – let someone else do long-term capacity planning • Provision via abstracted interfaces to allow for vendor diversity • Select providers based upon neutrality and pre- integration to tools and frameworks • Exchange providers should provide programmatic, low latency, high bandwidth access to majority of required resource pools
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