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Accelerating the adoption of Cloud Computing
Planning an OpenStack PoC
Webinar
April 10, 2014
© Solinea, Inc.
Speakers Today
–  20 years as architect of infrastructure solutions
for the enterprise
–  Experience designing and deploying across US,
APAC and Emerging Markets
–  Specializes in infrastructure adoption in the
worlds largest enterprises across people,
process and technology
2
–  Managed and delivered some of the largest
cloud deployments, both public and private,
worldwide
–  Business and technical leadership to service
providers and enterprises around the world
–  Prior to Solinea, Seth was a Director in the
Product Management Group at Cloudscaling
Brad Vaughan
Seth Fox
© Solinea, Inc. 3
Solinea Overview
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
!
!
Accelerating Open Infrastructure Adoption
Built the first OpenStack production clouds and
contributors to the platform since its inception
OpenStack™
Experience
© Solinea, Inc.
Webinar Agenda
Why a Proof of Concept (PoC)?
Select PoC Candidate Workloads
Creating a Test Plan
PoC Architecture
Deployment Planning
Solinea Jumpstart Methodology
4
© Solinea, Inc.
Technology Evaluation Continuum
Sandbox
•  Informal exploration of
technology
•  Small scale
installation to allow for
experimentation
•  Single user/operator
testing
Proof of Concept
•  Quantifiable proof of business value to
multiple business stakeholders
•  Scoped and budgeted project with
assigned staffing
•  Proving technical viability for specific
use case and solution
•  May also evaluate competing
solutions
•  Fully understand the impact/value
across multiple business units/
workloads
Pilot
•  Initial build-out of
tested solution
•  Limited user
community and SLAs
•  Operated with
production tooling and
support
5
© Solinea, Inc.
Setting Goals & Criteria
Sandbox
•  No predefined goals
or criteria
•  Reduced HW
footprint
•  Functional
understanding of
technology
Proof of Concept
•  Prove a hypothesis
•  Goals must be directly link to the
business requirements for approving
next steps
•  Generate convincing data
comparing current state solution
•  Prove ROI and Investment
•  Gain practical skills and
understanding, to properly design the
end state
•  Understand impact on IT lifecycle
service development and delivery
process
Pilot
•  Production quality/
performance goals
•  Successful
completion of
Preproduction QA
testing
•  Completion of user
testing
6
© Solinea, Inc.
Candidate Workloads
!  Selection Criteria
–  Solve a existing problem
–  Workload/application profile
–  Representative architecture pattern
–  Complexity and dependency
–  Supportability, Customization
!  Stakeholder Involvement
–  Resource commitment
–  Is the pain point real
!  Measurability
–  Existing quantifiable testing
–  Historical data
7
© Solinea, Inc.
Selecting Tests
!  Defining the scope (breadth and depth of PoC)
!  Defines timeline, cost and complexity
!  Application level testing
–  Primary issue is finding existing test with actual data
–  Needs to be self contained with limited dependency on other production
or test/dev systems
–  Many applications require refactoring to take advantage of cloud
architecture
!  Largest number of tests are generally functional testing
–  Auto-scaling
–  High Availability
–  Operational
!  Non-functional tests can be challenging
–  PoC is usually only functional simulation of production
–  Performance, capacity limited unless you have comparable benchmarks
8
© Solinea, Inc.
Creating a Test Plan
!  The candidate selection process should have
identified a workloads with existing test harness
!  Developing, architecting and implementing
testing tools is time consuming and complicated
!  Formal definition of use cases is required to
ensure a valid scope
9
Use Case ID
Purpose
Pre-requisites
Required Data
Steps
Expected Results
Actual Results
© Solinea, Inc.
OpenStack Operational Use Cases
!  Exercise the APIs
–  Create and destroy
Objects (e.g. users,
tenants, flavors, image)
–  Start/Stop, Enable/
Disable
!  Non-functional features
–  Upgrading the
environment
–  High availability /
Failover
!  Backup and recover
10
© Solinea, Inc.
OpenStack Testing Tools
!  Several tools available
–  Tempest: automated CI/CD test suite for OpenStack
–  Rally: benchmark OpenStack at scale
!  Valuable to validate PoC platform install prior to
running other tests
!  Can be very complicated to configure
!  Types of Tests
–  API – RESTful calls
–  CLI – read-only actions of the client
–  Scenario – often operational actions
–  Stress – used primarily to identify race condition bugs
–  3rd Party – test non-native API’s like EC2 compatibility
11
© Solinea, Inc.
This test showcases the ability for the cluster to
grow and shrink as needed to handle expected
and unexpected high load and can scale
according to the level of load pushed against the
cluster
Benefits
Results 1 2
1
2
Once the stress testing load was initiated there was
about 60K to 80K requests per second. During this
initial phase the single caching server generated a
sustained CPU load over 75% (Red Bars). This
triggers a heat alarm which will launch and configure
a new caching server.
1
This new caching server is joined to the cluster and
gets an equal number of requests distributed to itself.
This causes the overall Cluster CPU load average to
decrease by roughly half. This should allow the
overall cluster to handle significantly more requests
per second.
2
Test Results: Auto Scaling
12
© Solinea, Inc.
Example PoC Plan
13
© Solinea, Inc.
!  Equipment
–  Rack
•  RUs, Power, A/C
–  Servers
•  Controller, Storage,
Compute
–  Storage
•  Storage software,
drives, backup space
–  Networking
•  Networks, IPs, SSL
certs
!  Software & Data
–  OpenStack Code
–  Application Software
•  Licenses
•  Who will install
•  Who will customize
–  Testing Tools
•  Install and configure
–  Sample Datasets
•  Which datasets (live,
test) ?
!  Privacy and Security
14
Identifying the Prerequisites
© Solinea, Inc.
Example Skills Matrix
Role Networking Compute Storage Other
“OpenStack”
Generalist
Good Linux
networking
experience
Excellent hypervisor
skills
Excellent Linux
administration skills
Config management
with Puppet, Chef,
etc.
Experience
administrating
iSCSI or NFS
servers
General python
scripting
Experience using
OpenStack
clouds
Network Specialist Strong general L2/L3
skills with chosen
ToR switches
Excellent virtualized
networking skills
(OVS, linux bridging,
etc.)
Experience with
chosen hypervisor(s)
Experience with NICs
and IPMI/ILo on
chosen hardware
Understanding of
network tuning for
iSCSI / NFS traffic
Storage Specialist Familiarity with
iSCSI / NFS tuning
Excellent tuning/
troubleshooting
with chosen
storage
15
© Solinea, Inc.
OpenStack Distributions
16
Sandbox
•  DevStack
•  RDO
•  Fuel
Proof of Concept
•  RDO/RHEL OSP
•  Fuel
•  Piston
•  Cloudscaling
•  Stackops
•  Many others …
Pilot
•  RHEL OSP
•  Fuel
•  Piston
•  Cloudscaling
•  Stackops
•  Many others …
© Solinea, Inc.
Distribution Selection Criteria
!  Price
!  Adoption
!  Support Offerings
!  Installation Simplicity
!  Maintainability and Management
!  OpenStack release
!  Value Added Tools
!  Specialized Features
–  Storage
–  VMware integration
–  Quota
–  SDN
!  Familiarity
17
© Solinea, Inc.
Logical Architecture
18
Object Store
•  Swift Proxy
•  Container
•  Object
•  Account
Controller(s)
•  All APIs
except Swift
•  Neutron
gateway
•  Qpid
•  MySQL
Jump Box
•  Foreman
•  Repository
•  Heat VM
•  Horizon
•  SSH
Compute
•  Nova compute
•  Neutron agent Block
•  iSCSI
•  Cinder
IPMI Network
Mgmt Network
Storage Network
Public Network
192.168.103.0/24
Private Network
192.168.1.0/24
Floating IPs
10.10.1.0/24
192.168.102.0/24
192.168.101.0/24
© Solinea, Inc.
Unit	
   Segment	
   Role	
   Hardware	
  
42	
  
Network	
  
Switch	
  (IPMI)	
   Cisco	
  2xxx	
  
41	
   Switch	
  (Service)	
   Arista	
  7150	
  
40	
   Switch	
  (Management)	
   Cisco	
  3xxx	
  
39	
  
Management	
  
cntr-­‐01	
   Quanta	
  X12RS	
  
38	
   cntr-­‐02	
   Quanta	
  X12RS	
  
37	
   cntr-­‐03	
   Quanta	
  X12RS	
  
36	
   cntr-­‐04	
   Quanta	
  X12RS	
  
35	
   cntr-­‐05	
   Quanta	
  X12RS	
  
34	
   cntr-­‐06	
   Quanta	
  X12RS	
  
33	
  
Compute	
  
comp-­‐01	
   Quanta	
  X12RS	
  
32	
   comp-­‐02	
   Quanta	
  X12RS	
  
31	
   comp-­‐03	
   Quanta	
  X12RS	
  
30	
   comp-­‐04	
   Quanta	
  X12RS	
  
29	
   comp-­‐05	
   Quanta	
  X12RS	
  
28	
   comp-­‐06	
   Quanta	
  X12RS	
  
27	
   comp-­‐07	
   Quanta	
  X12RS	
  
26	
   comp-­‐08	
   Quanta	
  X12RS	
  
25	
   comp-­‐09	
   Quanta	
  X12RS	
  
24	
   comp-­‐10	
   Quanta	
  X12RS	
  
23	
  
KVM	
   Monitor	
  +	
  KVM	
   Dell	
  KVM	
  
22	
  
21	
   Admin	
   jump-­‐01	
   Quanta	
  X12RS	
  
20	
  
Block	
  
iscsi-­‐01	
   Quanta	
  X22RQ	
  
19	
  
18	
  
iscsi-­‐02	
   Quanta	
  X22RQ	
  
17	
  
16	
  
iscsi-­‐03	
   Quanta	
  X22RQ	
  
15	
  
14	
  
Object	
  
obj-­‐01	
   Quanta	
  X22RQ	
  
13	
  
12	
  
obj-­‐02	
   Quanta	
  X22RQ	
  
11	
  
10	
  
obj-­‐03	
   Quanta	
  X22RQ	
  
9	
  
8	
  
obj-­‐04	
   Quanta	
  X22RQ	
  
7	
  
6	
  
obj-­‐05	
   Quanta	
  X22RQ	
  
5	
  
4	
  
	
  	
  
	
  	
   	
  	
  
3	
  
2	
   	
  	
   	
  	
  
1	
   	
  	
   	
  	
  
!  Servers
–  Minimal server hardware
configuration diversity
–  One model for compute, one
for storage
–  Most people segregate
compute, object and block
storage from controller
nodes
!  ToR Switches
–  10Gb networking for public,
management and data
networks
–  1GB for IPMI
!  Storage will be determined
by workload needs
–  NFS, iSCSI, Swift and Ceph
dominate storage configs
19
Example Hardware Design
© Solinea, Inc.
OpenStack PoC Evaluation Weighting
(0 to 5)
5=most
important
RHEL OSP SUSE
Rank Weighted Score Rank
Weighted
ScoreCriteria
1. Compute Resources
This category defines the attributes of the compute resource that are under control of the end user. The end user should be able to configure the capacity and
attributes of a compute unit with minimal friction and deploy the appropriate level of resources without the need to "over provision". The ideal situation is to have
granular control over both the workload capacity of the compute unit and the service level. The compute unit should be able to easily scale to meet a variety of
workloads, I.E. once the initial compute unit is provisioned you should be able to easily add incremental and storage resources.
Compute	
  
B. Ability to configure private flavors 4 5 20 3 12
C. Ability to configure memory in GB increments from .5 to 128 4 5 20 4 0
D. Ability to configure attached storage in GB increments to 1TB 4 5 20 3 12
F. Ability to meter usage in 1 hour increments 1 5 5 2 2
G. Compute resource configuration changes can be made via the
portal or via an API call 5 5 25 1 5
H. Ability to upload images into service catalog 5 5 25 2 10
I. 3 5 15 2 6
Compute Score 5.0 18.6 2.4 6.7
Allocation of Compute Score 15% 0.8 2.79 0.4 1.01
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
2. Storage Resources
This category defines the attributes of the storage services that are under control of the end user. Two categories of storage services are listed Object based storage
and Block based storage. Object based storage, which would be appropriate for storing backups, images, archives, etc. Object based storage is used when latency
and performance are not top criteria and low cost/high volume requirements preside. Object based storage is not part of the local attached file system. Amazon web
services S3 or Openstack SWIFT are examples of object based storage. Block based storage refers to the typical file system storage that is directly accessible by OS
and conforms to the file system structure in use by the Guest OS. Block based storage can be delivered using a variety of service levels and is often classified
using IOPS , latency or QoS levels.
Object	
  based	
  storage	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
A. Ability to read, write and delete and Secure objects ranging in size
from 1 byte to 5 terabytes 2 3 6 1 2
B. Objects can be stored over geographically tiered locations 1 4 4 2 2
E. Accessible via APIs 1 5 5 3 3
E. Objects are taggable and versioned 1 3 3 4 4
F. Objects are replicated to multiple locations 1 2 2 6 6
Block-­‐based	
  storage	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
A. Integrate with compute (attach/detach) 3 2 6 3 9
B. Multiple SLAs based tiers of block storage service 3 5 15 1 3
C. Ability to provide point-in-time snapshot backups
2 5 10 5 10
D. Ability to resize volumes 1 5 5 7 7
E. Available across geographically dispersed locations 1 5 5 3 3
F. Storage has configurable IOPS 1 5 5 1 1
G. Metering is produced on volume/GB hours 1 5 5 2 2
Storage Score 4.1 5.9 3.2 4.3
Allocation of Storage Score 15% 0.6 0.89 0.5 0.65
!  Weighted ranking approach
to evaluation
–  Simple pass/fail testing
doesn’t capture flexibility and
non-functional capabilities
–  Scoring metrics should be
detailed to reduce subjective
nature
!  Each use case and test
should have several rating
criteria
!  Should always be
accompanied by testing
output and narrative for
executive audiences
!  Very useful in vendor/
technology comparisons
20
Evaluation Example
© Solinea, Inc.
Example: Cloud vs. Appliance Evaluation
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 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
© Solinea, Inc.
Workshop
!  Workload Analysis and
Categorization
!  IaaS architecture confirmation
!  Bill of Materials (BoM)
!  Implementation Plan to
immediately go into POC
Proof of Concept
!  Logical & Physical Architecture
!  OpenStack Build Specification
!  OpenStack Cloud (single rack);
!  Training & Mentoring Program.
22
Solinea Services
! ! !
"
Conceive Architect Integrate Adopt
We can make your PoC a success!
A repeatable methodology. Proven with our customers.
© Solinea, Inc. 23
Resources Available on solinea.com
!  Slides / Project Plans for this webinar
–  Replay and Materials available in 24-48 Hours
–  Emails will be sent with link
!  Upcoming Webinars
–  OpenStack Icehouse Preview – April 22nd
!  Replays / Downloads Available Now
–  Building OpenStack Block Storage into your Cloud
–  Making the case for OpenStack in the Enterprise
–  OpenStack Breaking into the Enterprise
Accelerating the adoption of Cloud Computing
Proprietary and Confidential - Not to be distributed without prior written permission from Solinea, Inc.
Thank You
Solinea, Inc.
404 Bryant Street
San Francisco, CA 94110
www.solinea.com

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Planning open stack-poc

  • 1. Accelerating the adoption of Cloud Computing Planning an OpenStack PoC Webinar April 10, 2014
  • 2. © Solinea, Inc. Speakers Today –  20 years as architect of infrastructure solutions for the enterprise –  Experience designing and deploying across US, APAC and Emerging Markets –  Specializes in infrastructure adoption in the worlds largest enterprises across people, process and technology 2 –  Managed and delivered some of the largest cloud deployments, both public and private, worldwide –  Business and technical leadership to service providers and enterprises around the world –  Prior to Solinea, Seth was a Director in the Product Management Group at Cloudscaling Brad Vaughan Seth Fox
  • 3. © Solinea, Inc. 3 Solinea Overview 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 ! ! Accelerating Open Infrastructure Adoption Built the first OpenStack production clouds and contributors to the platform since its inception OpenStack™ Experience
  • 4. © Solinea, Inc. Webinar Agenda Why a Proof of Concept (PoC)? Select PoC Candidate Workloads Creating a Test Plan PoC Architecture Deployment Planning Solinea Jumpstart Methodology 4
  • 5. © Solinea, Inc. Technology Evaluation Continuum Sandbox •  Informal exploration of technology •  Small scale installation to allow for experimentation •  Single user/operator testing Proof of Concept •  Quantifiable proof of business value to multiple business stakeholders •  Scoped and budgeted project with assigned staffing •  Proving technical viability for specific use case and solution •  May also evaluate competing solutions •  Fully understand the impact/value across multiple business units/ workloads Pilot •  Initial build-out of tested solution •  Limited user community and SLAs •  Operated with production tooling and support 5
  • 6. © Solinea, Inc. Setting Goals & Criteria Sandbox •  No predefined goals or criteria •  Reduced HW footprint •  Functional understanding of technology Proof of Concept •  Prove a hypothesis •  Goals must be directly link to the business requirements for approving next steps •  Generate convincing data comparing current state solution •  Prove ROI and Investment •  Gain practical skills and understanding, to properly design the end state •  Understand impact on IT lifecycle service development and delivery process Pilot •  Production quality/ performance goals •  Successful completion of Preproduction QA testing •  Completion of user testing 6
  • 7. © Solinea, Inc. Candidate Workloads !  Selection Criteria –  Solve a existing problem –  Workload/application profile –  Representative architecture pattern –  Complexity and dependency –  Supportability, Customization !  Stakeholder Involvement –  Resource commitment –  Is the pain point real !  Measurability –  Existing quantifiable testing –  Historical data 7
  • 8. © Solinea, Inc. Selecting Tests !  Defining the scope (breadth and depth of PoC) !  Defines timeline, cost and complexity !  Application level testing –  Primary issue is finding existing test with actual data –  Needs to be self contained with limited dependency on other production or test/dev systems –  Many applications require refactoring to take advantage of cloud architecture !  Largest number of tests are generally functional testing –  Auto-scaling –  High Availability –  Operational !  Non-functional tests can be challenging –  PoC is usually only functional simulation of production –  Performance, capacity limited unless you have comparable benchmarks 8
  • 9. © Solinea, Inc. Creating a Test Plan !  The candidate selection process should have identified a workloads with existing test harness !  Developing, architecting and implementing testing tools is time consuming and complicated !  Formal definition of use cases is required to ensure a valid scope 9 Use Case ID Purpose Pre-requisites Required Data Steps Expected Results Actual Results
  • 10. © Solinea, Inc. OpenStack Operational Use Cases !  Exercise the APIs –  Create and destroy Objects (e.g. users, tenants, flavors, image) –  Start/Stop, Enable/ Disable !  Non-functional features –  Upgrading the environment –  High availability / Failover !  Backup and recover 10
  • 11. © Solinea, Inc. OpenStack Testing Tools !  Several tools available –  Tempest: automated CI/CD test suite for OpenStack –  Rally: benchmark OpenStack at scale !  Valuable to validate PoC platform install prior to running other tests !  Can be very complicated to configure !  Types of Tests –  API – RESTful calls –  CLI – read-only actions of the client –  Scenario – often operational actions –  Stress – used primarily to identify race condition bugs –  3rd Party – test non-native API’s like EC2 compatibility 11
  • 12. © Solinea, Inc. This test showcases the ability for the cluster to grow and shrink as needed to handle expected and unexpected high load and can scale according to the level of load pushed against the cluster Benefits Results 1 2 1 2 Once the stress testing load was initiated there was about 60K to 80K requests per second. During this initial phase the single caching server generated a sustained CPU load over 75% (Red Bars). This triggers a heat alarm which will launch and configure a new caching server. 1 This new caching server is joined to the cluster and gets an equal number of requests distributed to itself. This causes the overall Cluster CPU load average to decrease by roughly half. This should allow the overall cluster to handle significantly more requests per second. 2 Test Results: Auto Scaling 12
  • 14. © Solinea, Inc. !  Equipment –  Rack •  RUs, Power, A/C –  Servers •  Controller, Storage, Compute –  Storage •  Storage software, drives, backup space –  Networking •  Networks, IPs, SSL certs !  Software & Data –  OpenStack Code –  Application Software •  Licenses •  Who will install •  Who will customize –  Testing Tools •  Install and configure –  Sample Datasets •  Which datasets (live, test) ? !  Privacy and Security 14 Identifying the Prerequisites
  • 15. © Solinea, Inc. Example Skills Matrix Role Networking Compute Storage Other “OpenStack” Generalist Good Linux networking experience Excellent hypervisor skills Excellent Linux administration skills Config management with Puppet, Chef, etc. Experience administrating iSCSI or NFS servers General python scripting Experience using OpenStack clouds Network Specialist Strong general L2/L3 skills with chosen ToR switches Excellent virtualized networking skills (OVS, linux bridging, etc.) Experience with chosen hypervisor(s) Experience with NICs and IPMI/ILo on chosen hardware Understanding of network tuning for iSCSI / NFS traffic Storage Specialist Familiarity with iSCSI / NFS tuning Excellent tuning/ troubleshooting with chosen storage 15
  • 16. © Solinea, Inc. OpenStack Distributions 16 Sandbox •  DevStack •  RDO •  Fuel Proof of Concept •  RDO/RHEL OSP •  Fuel •  Piston •  Cloudscaling •  Stackops •  Many others … Pilot •  RHEL OSP •  Fuel •  Piston •  Cloudscaling •  Stackops •  Many others …
  • 17. © Solinea, Inc. Distribution Selection Criteria !  Price !  Adoption !  Support Offerings !  Installation Simplicity !  Maintainability and Management !  OpenStack release !  Value Added Tools !  Specialized Features –  Storage –  VMware integration –  Quota –  SDN !  Familiarity 17
  • 18. © Solinea, Inc. Logical Architecture 18 Object Store •  Swift Proxy •  Container •  Object •  Account Controller(s) •  All APIs except Swift •  Neutron gateway •  Qpid •  MySQL Jump Box •  Foreman •  Repository •  Heat VM •  Horizon •  SSH Compute •  Nova compute •  Neutron agent Block •  iSCSI •  Cinder IPMI Network Mgmt Network Storage Network Public Network 192.168.103.0/24 Private Network 192.168.1.0/24 Floating IPs 10.10.1.0/24 192.168.102.0/24 192.168.101.0/24
  • 19. © Solinea, Inc. Unit   Segment   Role   Hardware   42   Network   Switch  (IPMI)   Cisco  2xxx   41   Switch  (Service)   Arista  7150   40   Switch  (Management)   Cisco  3xxx   39   Management   cntr-­‐01   Quanta  X12RS   38   cntr-­‐02   Quanta  X12RS   37   cntr-­‐03   Quanta  X12RS   36   cntr-­‐04   Quanta  X12RS   35   cntr-­‐05   Quanta  X12RS   34   cntr-­‐06   Quanta  X12RS   33   Compute   comp-­‐01   Quanta  X12RS   32   comp-­‐02   Quanta  X12RS   31   comp-­‐03   Quanta  X12RS   30   comp-­‐04   Quanta  X12RS   29   comp-­‐05   Quanta  X12RS   28   comp-­‐06   Quanta  X12RS   27   comp-­‐07   Quanta  X12RS   26   comp-­‐08   Quanta  X12RS   25   comp-­‐09   Quanta  X12RS   24   comp-­‐10   Quanta  X12RS   23   KVM   Monitor  +  KVM   Dell  KVM   22   21   Admin   jump-­‐01   Quanta  X12RS   20   Block   iscsi-­‐01   Quanta  X22RQ   19   18   iscsi-­‐02   Quanta  X22RQ   17   16   iscsi-­‐03   Quanta  X22RQ   15   14   Object   obj-­‐01   Quanta  X22RQ   13   12   obj-­‐02   Quanta  X22RQ   11   10   obj-­‐03   Quanta  X22RQ   9   8   obj-­‐04   Quanta  X22RQ   7   6   obj-­‐05   Quanta  X22RQ   5   4               3   2           1           !  Servers –  Minimal server hardware configuration diversity –  One model for compute, one for storage –  Most people segregate compute, object and block storage from controller nodes !  ToR Switches –  10Gb networking for public, management and data networks –  1GB for IPMI !  Storage will be determined by workload needs –  NFS, iSCSI, Swift and Ceph dominate storage configs 19 Example Hardware Design
  • 20. © Solinea, Inc. OpenStack PoC Evaluation Weighting (0 to 5) 5=most important RHEL OSP SUSE Rank Weighted Score Rank Weighted ScoreCriteria 1. Compute Resources This category defines the attributes of the compute resource that are under control of the end user. The end user should be able to configure the capacity and attributes of a compute unit with minimal friction and deploy the appropriate level of resources without the need to "over provision". The ideal situation is to have granular control over both the workload capacity of the compute unit and the service level. The compute unit should be able to easily scale to meet a variety of workloads, I.E. once the initial compute unit is provisioned you should be able to easily add incremental and storage resources. Compute   B. Ability to configure private flavors 4 5 20 3 12 C. Ability to configure memory in GB increments from .5 to 128 4 5 20 4 0 D. Ability to configure attached storage in GB increments to 1TB 4 5 20 3 12 F. Ability to meter usage in 1 hour increments 1 5 5 2 2 G. Compute resource configuration changes can be made via the portal or via an API call 5 5 25 1 5 H. Ability to upload images into service catalog 5 5 25 2 10 I. 3 5 15 2 6 Compute Score 5.0 18.6 2.4 6.7 Allocation of Compute Score 15% 0.8 2.79 0.4 1.01                         2. Storage Resources This category defines the attributes of the storage services that are under control of the end user. Two categories of storage services are listed Object based storage and Block based storage. Object based storage, which would be appropriate for storing backups, images, archives, etc. Object based storage is used when latency and performance are not top criteria and low cost/high volume requirements preside. Object based storage is not part of the local attached file system. Amazon web services S3 or Openstack SWIFT are examples of object based storage. Block based storage refers to the typical file system storage that is directly accessible by OS and conforms to the file system structure in use by the Guest OS. Block based storage can be delivered using a variety of service levels and is often classified using IOPS , latency or QoS levels. Object  based  storage                       A. Ability to read, write and delete and Secure objects ranging in size from 1 byte to 5 terabytes 2 3 6 1 2 B. Objects can be stored over geographically tiered locations 1 4 4 2 2 E. Accessible via APIs 1 5 5 3 3 E. Objects are taggable and versioned 1 3 3 4 4 F. Objects are replicated to multiple locations 1 2 2 6 6 Block-­‐based  storage                       A. Integrate with compute (attach/detach) 3 2 6 3 9 B. Multiple SLAs based tiers of block storage service 3 5 15 1 3 C. Ability to provide point-in-time snapshot backups 2 5 10 5 10 D. Ability to resize volumes 1 5 5 7 7 E. Available across geographically dispersed locations 1 5 5 3 3 F. Storage has configurable IOPS 1 5 5 1 1 G. Metering is produced on volume/GB hours 1 5 5 2 2 Storage Score 4.1 5.9 3.2 4.3 Allocation of Storage Score 15% 0.6 0.89 0.5 0.65 !  Weighted ranking approach to evaluation –  Simple pass/fail testing doesn’t capture flexibility and non-functional capabilities –  Scoring metrics should be detailed to reduce subjective nature !  Each use case and test should have several rating criteria !  Should always be accompanied by testing output and narrative for executive audiences !  Very useful in vendor/ technology comparisons 20 Evaluation Example
  • 21. © Solinea, Inc. Example: Cloud vs. Appliance Evaluation 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 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
  • 22. © Solinea, Inc. Workshop !  Workload Analysis and Categorization !  IaaS architecture confirmation !  Bill of Materials (BoM) !  Implementation Plan to immediately go into POC Proof of Concept !  Logical & Physical Architecture !  OpenStack Build Specification !  OpenStack Cloud (single rack); !  Training & Mentoring Program. 22 Solinea Services ! ! ! " Conceive Architect Integrate Adopt We can make your PoC a success! A repeatable methodology. Proven with our customers.
  • 23. © Solinea, Inc. 23 Resources Available on solinea.com !  Slides / Project Plans for this webinar –  Replay and Materials available in 24-48 Hours –  Emails will be sent with link !  Upcoming Webinars –  OpenStack Icehouse Preview – April 22nd !  Replays / Downloads Available Now –  Building OpenStack Block Storage into your Cloud –  Making the case for OpenStack in the Enterprise –  OpenStack Breaking into the Enterprise
  • 24. Accelerating the adoption of Cloud Computing Proprietary and Confidential - Not to be distributed without prior written permission from Solinea, Inc. Thank You Solinea, Inc. 404 Bryant Street San Francisco, CA 94110 www.solinea.com