on-demand production infrastructure delivered just in time by shane guthrie of equinix
TRANSCRIPT
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 PackageAward Shot to
VFX House
Award Trailer to Vendor
Production
Post-Production
RAW
Capture
Meta Data
Video Capture Dirty Pass
Validate
Color / Meta DataClean 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