Making the case for OpenStack
in the Enterprise
Francesco Paola, CEO, Solinea
Seth Fox, VP Operations, Solinea
Cloud is the only domain we focus on, with vertical industry
and horizontal solutions specialization
Purpose-built
for cloud
Track record of success architecting, building and operating
production clouds – private and public – world-wide
Proven Delivery
Success
We understand cloud adoption challenges of global
companies
Enterprise IT
Experience
Integrated capabilities lifecycle: cloud strategy, architecture,
implementation and adoption services
Unique
Approach
!
!
Who we are
Accelerating Open Infrastructure Adoption
Built the first OpenStack production clouds and
contributors to the platform since its inception
OpenStack™
Experience
●  Cloud Orchestration Framework
○  Compute (Nova)
○  Object Storage (Swift)
○  Identity Services (Keystone)
○  Dashboard (Horizon)
○  Networking (Neutron)
○  Telemetry (Ceilometer)
○  More every day
●  Collection of tools that have been around the Enterprise
○  Linux, KVM, Python, LDAP, L3 Routing, etc.
●  Icehouse is the ninth release since its inception
●  Foundation Managed
OpenStack – we’re all familiar with it…
Survey Profile
●  822 Responses
●  387 Deployments
●  539 Companies
Industries Included
●  Information Technology
●  Academic / Research
●  Telecommunications
●  Film / Media
●  Government / Defense
●  Manufacturing
●  Industrial
●  Retail
●  Healthcare
●  Financial Services
Who uses OpenStack?
Source: November 2013 OpenStack User Survey
Source: November 2013 OpenStack User Survey
Primary Deployed Workloads
1.  Agility – ability to innovate and compete
2.  Openness – open platform with an
expanding ecosystem
3.  Cost – lowers the LONG-TERM total cost of
ownership (TCO)
4.  Operational Efficiency – OK, once you
get there, but this takes time…
Why are Enterprises adopting OpenStack?
What we see and hear…
Is OpenStack Ready?
•  In Use Today
–  Large Scale Enterprises – Top 10 Auto Manufacturer
–  Financial Services - PayPal
–  Telecommunications - Comcast, AT&T, Verizon
–  SaaS - Concur, HubSpot
–  Web 2.0 - eBay
–  Film / Media - Digital Film Tree, Shutterstock
–  Government - NSA
–  Ecosystem in full swing
Supported
Distributions
Platform as a Service
integrations
Subscription
Models Management Tools
Training Range of Storage
Options
Virtual Desktop
Solutions Consulting Services
Vendor support for fully integrated
solutions
Ecosystem
Photo Credit: www.rling.com
A platform to support a wide range of tools and applications from
multiple business units
Open
Innovation
Data Analysis
Shared Data
Service
Development
Cost
Real-time
Build a data analytics capability to gain insights and competitive
advantages
Enable Data as a Service across the organization
Deploy new services quickly to respond to market demands
Enable response to quality issues and customers in real-time
Enable a cost effective infrastructure and software solutions
DescriptionRequirement
Case Study – Building the Car Cloud
§  Pilot: 1 Rack
§  Deploy Big Data Platform and Analytics Use Cases
§  Build out the Production Cloud
ObjectivesPhase
§  Perform expansion of production Car Cloud
§  Initiate deployment of In-Car Services
§  Expand Production Car Cloud geographically
§  Internal functions deployment
Phase 1
§  Production Infra.
§  Big Data Analytics
Phase 2
§  Big Data Analytics
§  In-car Services
Phase 3
§  In-car Services
§  Global footprint
§  Half-rack deployment of OpenStack to run test use cases
§  Compare against a “Legacy Appliance” to justify investment
Proof of Concept
§  Big Data Analytics
§  In-car Services
Implementation Roadmap
PoC: half-rack with OpenStack
OpenStack
Components
•  Nova
•  Swift
•  Glance
•  Cinder
•  Keystone
•  Horizon
•  Heat
•  HA/Proxy
Use Cases
•  Big Data
•  Map App on
Swift
•  Map Updates
•  Auto Scaling
•  Operator
Functions
Notes: RHOS, Apache Hadoop, KVM (CentOS), Quanta
PoC Comparison vs. Legacy Appliance
PoC
•  Cost: $125K + Services
•  Timeframe: 3 weeks
•  Performance: 40 minutes
Legacy Appliance
•  Cost: $1.2MM
•  Timeframe: 2 weeks
•  Performance: Did not
compute
Use Case Tested for Comparative Purposes:
•  A predefined and parsed data TMU data set is preloaded on
Hadoop
•  Map/Reduce transforms the data to a number of key and value
pairs
•  The Map/Reduce job is submitted
•  Job is monitored for completion
Key Success Factors
DescriptionSuccess Factor
ü  Stand behind the cloud plan, revise it
quarterly, stay committed to the journey
Maintain Executive Sponsorship
ü  Transition from a project/product approach to
a services and solutions offerings
Position for Services
ü  Standardize solutions to enable repeatability,
minimizing customization
Standardize processes and
offerings
ü  Review internal policies and procedures to
establish a Hybrid cloud strategy
Prepare for Hybrid (Public)
Cloud
ü  Ensure BU’s, including IT & Operations, are
aligned on the Cloud objectives
Ensure cross-BU consensus
ü  Invest in building the necessary governance
and cloud internal skills
Invest in the Cloud Competency
Group
§  Isolate, then extend to the broader organizationIncubate
§  Independent of the legacy IT organization
§  Build COEs e.g. infrastructure, platform, data, devops etc
Create
Competency
Centers
§  Create a separate culture that is not tied to legacy IT – if possible
§  Treat the business as a client
Focus on the
Culture
§  Move to agile, but recognize that agile is a mindset, not a solution
§  Enable “fast fail cycles” and experimentation to drive innovation
Align to Business
Agility
§  Adapt Governance model to speed of change; strive for automation
Transform
Governance
Make OpenStack Work!
It’s not the technology… it’s everything else!
!
Francesco Paola, CEO, Solinea
Seth Fox, VP Operations, Solinea
www.solinea.com
Thank You

OpenStack in the Enterprise - Interop Las Vegas 2014

  • 1.
    Making the casefor OpenStack in the Enterprise Francesco Paola, CEO, Solinea Seth Fox, VP Operations, Solinea
  • 2.
    Cloud is theonly domain we focus on, with vertical industry and horizontal solutions specialization Purpose-built for cloud Track record of success architecting, building and operating production clouds – private and public – world-wide Proven Delivery Success We understand cloud adoption challenges of global companies Enterprise IT Experience Integrated capabilities lifecycle: cloud strategy, architecture, implementation and adoption services Unique Approach ! ! Who we are Accelerating Open Infrastructure Adoption Built the first OpenStack production clouds and contributors to the platform since its inception OpenStack™ Experience
  • 3.
    ●  Cloud OrchestrationFramework ○  Compute (Nova) ○  Object Storage (Swift) ○  Identity Services (Keystone) ○  Dashboard (Horizon) ○  Networking (Neutron) ○  Telemetry (Ceilometer) ○  More every day ●  Collection of tools that have been around the Enterprise ○  Linux, KVM, Python, LDAP, L3 Routing, etc. ●  Icehouse is the ninth release since its inception ●  Foundation Managed OpenStack – we’re all familiar with it…
  • 4.
    Survey Profile ●  822Responses ●  387 Deployments ●  539 Companies Industries Included ●  Information Technology ●  Academic / Research ●  Telecommunications ●  Film / Media ●  Government / Defense ●  Manufacturing ●  Industrial ●  Retail ●  Healthcare ●  Financial Services Who uses OpenStack? Source: November 2013 OpenStack User Survey
  • 5.
    Source: November 2013OpenStack User Survey Primary Deployed Workloads
  • 6.
    1.  Agility –ability to innovate and compete 2.  Openness – open platform with an expanding ecosystem 3.  Cost – lowers the LONG-TERM total cost of ownership (TCO) 4.  Operational Efficiency – OK, once you get there, but this takes time… Why are Enterprises adopting OpenStack? What we see and hear…
  • 7.
    Is OpenStack Ready? • In Use Today –  Large Scale Enterprises – Top 10 Auto Manufacturer –  Financial Services - PayPal –  Telecommunications - Comcast, AT&T, Verizon –  SaaS - Concur, HubSpot –  Web 2.0 - eBay –  Film / Media - Digital Film Tree, Shutterstock –  Government - NSA –  Ecosystem in full swing
  • 8.
    Supported Distributions Platform as aService integrations Subscription Models Management Tools Training Range of Storage Options Virtual Desktop Solutions Consulting Services Vendor support for fully integrated solutions Ecosystem Photo Credit: www.rling.com
  • 9.
    A platform tosupport a wide range of tools and applications from multiple business units Open Innovation Data Analysis Shared Data Service Development Cost Real-time Build a data analytics capability to gain insights and competitive advantages Enable Data as a Service across the organization Deploy new services quickly to respond to market demands Enable response to quality issues and customers in real-time Enable a cost effective infrastructure and software solutions DescriptionRequirement Case Study – Building the Car Cloud
  • 10.
    §  Pilot: 1Rack §  Deploy Big Data Platform and Analytics Use Cases §  Build out the Production Cloud ObjectivesPhase §  Perform expansion of production Car Cloud §  Initiate deployment of In-Car Services §  Expand Production Car Cloud geographically §  Internal functions deployment Phase 1 §  Production Infra. §  Big Data Analytics Phase 2 §  Big Data Analytics §  In-car Services Phase 3 §  In-car Services §  Global footprint §  Half-rack deployment of OpenStack to run test use cases §  Compare against a “Legacy Appliance” to justify investment Proof of Concept §  Big Data Analytics §  In-car Services Implementation Roadmap
  • 11.
    PoC: half-rack withOpenStack OpenStack Components •  Nova •  Swift •  Glance •  Cinder •  Keystone •  Horizon •  Heat •  HA/Proxy Use Cases •  Big Data •  Map App on Swift •  Map Updates •  Auto Scaling •  Operator Functions Notes: RHOS, Apache Hadoop, KVM (CentOS), Quanta
  • 12.
    PoC Comparison vs.Legacy Appliance PoC •  Cost: $125K + Services •  Timeframe: 3 weeks •  Performance: 40 minutes Legacy Appliance •  Cost: $1.2MM •  Timeframe: 2 weeks •  Performance: Did not compute Use Case Tested for Comparative Purposes: •  A predefined and parsed data TMU data set is preloaded on Hadoop •  Map/Reduce transforms the data to a number of key and value pairs •  The Map/Reduce job is submitted •  Job is monitored for completion
  • 13.
    Key Success Factors DescriptionSuccessFactor ü  Stand behind the cloud plan, revise it quarterly, stay committed to the journey Maintain Executive Sponsorship ü  Transition from a project/product approach to a services and solutions offerings Position for Services ü  Standardize solutions to enable repeatability, minimizing customization Standardize processes and offerings ü  Review internal policies and procedures to establish a Hybrid cloud strategy Prepare for Hybrid (Public) Cloud ü  Ensure BU’s, including IT & Operations, are aligned on the Cloud objectives Ensure cross-BU consensus ü  Invest in building the necessary governance and cloud internal skills Invest in the Cloud Competency Group
  • 14.
    §  Isolate, thenextend to the broader organizationIncubate §  Independent of the legacy IT organization §  Build COEs e.g. infrastructure, platform, data, devops etc Create Competency Centers §  Create a separate culture that is not tied to legacy IT – if possible §  Treat the business as a client Focus on the Culture §  Move to agile, but recognize that agile is a mindset, not a solution §  Enable “fast fail cycles” and experimentation to drive innovation Align to Business Agility §  Adapt Governance model to speed of change; strive for automation Transform Governance Make OpenStack Work! It’s not the technology… it’s everything else!
  • 15.
  • 16.
    Francesco Paola, CEO,Solinea Seth Fox, VP Operations, Solinea www.solinea.com Thank You