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AWS Repatriation
Bring Your Apps Back

OpenStack Summit, Hong Kong
November 5th, 2013

CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution*
* All unlicensed or borrowed works retain their original licenses
@randybias
AWS Repatriation

Pub Cloud Repatriation
Bring Your Apps Back

OpenStack Summit, Hong Kong
November 5th, 2013

CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution*
* All unlicensed or borrowed works retain their original licenses
@randybias
AWS Repatriation
Public Cloud Repatriation

Apps for Hybrid Cloud
What Hybrid-ized Apps Need from Hybrid Cloud

OpenStack Summit, Hong Kong
November 5th, 2013

CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution*
* All unlicensed or borrowed works retain their original licenses
Introduction
Who
OpenStack Foundation Board of Directors
Prod. OpenStack pioneer, Cloudscaling:
Part of OpenStack community since July 2010 (launch)
Wins: KT, Internap, LivingSocial, Seagate & others

Advisor to dotCloud (docker.io)
Top 10 Cloud Computing Pioneer
5
My Bias
I run an OpenStack product company
... opinions expressed here are mine
Not the foundation, not the community, just one POV

I believe the pioneers to emulate are:

I have run big data centers
100K+ sq ft, 1,000s of physical servers, 100s of switches
6
FYI: State of the Stack v2
Live broadcast from OpenStack Summit
Nov 6th, 10AM Hong Kong / 6PM PST
Register here:
http://cloudscaling.com/stack

7
1

Why repatriate from public clouds?

2

Repatriation requirements

3

Repatriation & behavorial parity

4

Understanding systems contracts

5

Compatibility vs interoperability

6

OpenStack is not a system

7

OpenStack is key to a hybrid cloud future

8

Wrapping up

8
Why Repatriate?
Public & Private Cloud

10
Public & Private Cloud Strengths

Private
Cloud

Public
Cloud
General
Purpose

Renter
Economics

Optimized
Purpose

Large Resource Pool

Owner
Economics

Direct Control

11
Public & Private Cloud Drawbacks

Private
Cloud

Public
Cloud
General
Purpose

Renter
Economics

Optimized
Purpose

Large Resource Pool

Owner
Economics

Direct Control

• Expensive at scale
• Limited control for optimization
• 3rd party dependency & trust

• Higher upfront capital outlay
• IaaS architectural expertise needed
• IaaS operational expertise needed

12
Why Repatriate from Public Clouds?
Reduce Cost, Increase Control and Ensure Compliance

13
Cost - Own the Base, Rent the Spike
Workload
Demand

Public
Cloud

Rent the
Spike

Hybrid
Cloud
Own the
Base

Private
Cloud
Utilized Capacity
1

2

3

4

5

14

6

7

Days
Control - Optimize Hardware for Workloads
CPU & IO Constrained

Memory Constrained

CPU

CPU
$$

RAM
$$$

RAM

DISK
$$$$

DISK
$$$$

Network IO

Network IO
$$$

15
Compliance - and Security
Public clouds will close security gap
Already made exceptional progress
Many public clouds are more secure than the average enterprise

Some security requirements may be impossible
Specific hardware difficult for public clouds to implement as a solution

Many won’t use public for key workloads
Regional differences in regulatory compliance

16
Hybrid Cloud Enables Repatriation
Manage apps on public and private cloud as a single entity

Public
Cloud
General
Purpose

Renter
Economics

Large Resource Pool

• Unpredictable Workloads
• Scalable Data Processing
• Cloudbursting

Hybrid
Cloud
Choice
Flexibility
Agility

+

17

Private
Cloud
Optimized
Purpose

Owner
Economics

Direct Control

• Predictable Workloads
• Sensitive Data Storage
• Reverse Cloudbursting
Repatriation
Requirements
Repatriation Isn’t Automatic
Requires Compatibility & Interoperability
Build private cloud to similar spec as the top public
clouds if you want:
1

Economies of scale: Operational Costs

2

Economies of scale: HW pricing parity

3

Application portability

4

Elastic cloud architectures
cattle vs. pets
19
Virtualization vs. Elastic Cloud

Elastic

Virtualization 2.0

20
Example: OpenStack on a Vblock
AWS doesn’t run on a Vblock and never will
Neither does GCE, RAX, Azure, or any top public cloud

3-5x more expensive than AWS retail price
Upwards of 8x more expensive than wholesale

OpenStack on a Vblock for non-cloud apps
SAP, Oracle 10g, vSphere support, etc.

This is the Virtualization 2.0 approach
So-called “software-defined datacenter”
21
Example: OpenStack via OCS
50% savings over AWS over 3-5 years
Public Cloud
@ 20% Annual Growth
($17.4m over 5 Years)

Cost / Yr
4.8

$4m
$3m

4.0
3.4

2.7
2.8

$2m

Private Cloud
@ 20% Annual Growth
($9.6m over 5 Years)

2.2
1.8

2.3

1.6

1.4

$1m
Time
Yr1

Yr2

Yr3

Yr4
22

Yr5
Example: OpenStack via OCS
50% savings over AWS over 3-5 years

OCS
w/ Support

AWS 1 Year Res
w/o Support

AWS On Demand
w/o Support

m1.small

$13

$24

$44

m1.medium

$25

$49

$88

m1.large

$50

$97

$175

m1.xlarge

$101

$194

$350

23
Top (Elastic) Clouds
Hybrid cloud only makes sense with the leaders; all elastic
Public Cloud Usage
AWS

RAX

GCE

Running apps
Windows
Azure

Experimenting
0%

20%

40%

60%

% of Respondents

Source: RightScale State of the Cloud Report 2013
24

80%

100%
Make Private Clouds Look Like
Major Public Elastic Clouds?
Assume application manages its own fate
Scaling, self-healing, data replication

Commodity hardware, not gold-plated
Smart apps don’t need infrastructure resiliency

Operational model: cattle vs. pets
In public clouds, servers die all the time & no one cares

ALL of the top public clouds are elastic
25
Repatriation &
Behavorial Parity
Behavior Matters
Moving apps between clouds is hard
Abstractions and APIs can only do so much

Impedance mismatches are common
Any two clouds don’t behave the same

Some clouds are very very similar
GCE and AWS are 95% semantically, architecturally,
and behaviorally equivalent
This is better than what you find with any two OpenStack clouds
Yet these are proprietary software stacks

Let’s look at some examples
27
Ex 1: VM Spinup Times
Cloud #1: spins up a VM in 5 mins or less
e.g. AWS, GCE, RAX, Azure

Cloud #2: spins up a VM in 60 minutes
e.g. SFR in France

Write an app deployment framework
If you build on cloud #1 first
Assume 5 minutes and retry when a VM fails to show up
Causes a failure on cloud #2 when I switch

If you build on cloud #2 first
Works on cloud #1
Now “auto-scaling” takes 1 hour response time

28
Ex 2: Block Storage Snapshotting
Cloud #1: has incremental snapshotting
e.g. AWS, Azure

Cloud #2: has only full snapshotting
e.g. cinder backup via OpenStack

Write an app deployment framework
manages persistent disks as a mechanism for advanced deployment methods (e.g.
EngineYard on AWS)

Build on Cloud #1
Snapshot & restore times on cloud #2 cause failures

Build on Cloud #2
In testing the non-incremental snapshots mean I can’t use block storage as needed

29
Ex 2: Missing or Different Features
Cloud #1: OpenStack w/ floating IP autoassignment
Cloud #2: OpenStack w/o auto-assignment
Write an app deployment framework:
manages VM spinup on behalf of application

Build on Cloud #1
Once I try to run on cloud #2, it all breaks because I have to add a check for
whether floating IP is there and then add if not

Build on Cloud #2
Probably runs on cloud #1

30
Repatriation Checkpoint
Repatriation often makes sense
for Cost, Control, Security and Compliance

Repatriation isn’t automatic
it requires compatibility & interoperability

Cloud behavior matters
How to enable compatibility and
interoperability in a hybrid cloud world?
31
Hybrid Cloud
(Explaining Systems)
Why Are We Talking About Systems?

We need a common understanding of cloud
design principles to agree on what makes a
hybrid cloud possible.

33
Definition of a System
1) A set of components
2) Integrated into a specific architecture
designed for a purpose
3) Greater than the sum of its parts

34
System Taxonomy
Input

API

How to interface
with the system

Semantics
Architecture
Output

Names & definitions
that describe the
architecture
How the components
fit together

Behavior

35

What the system
actually does
System Example: Automobile
Input

API

Gas/brake pedals,
steering column,
climate controls, etc.

Semantics
Architecture
Output

Behavior

36

Accelerate, decelerate,
turn wheels, power
lights, heat/cool cabin,
component monitoring,
deploy air bags, etc.
System Example: Private Cloud
Input

API

RunInstances
AllocateAddress
CreateVolume
AttachVolume
CreateSnapshot...
Compute

Networking

Block
Storage

Object
Storage

Semantics
Architecture
Output

Behavior

37

Launch a VM
Get a floating IP
Create a volume
Attach a volume
Take a snapshot...
Hybrid Cloud
(systems contracts)
Compatibility vs Interoperability
Explicit vs Implicit Contracts
Input

API
Semantics

Explicit Contract
Precisely and clearly
expressed or readily
observable. Leaves
nothing to inference.

Architecture
Output

Behavior

Implicit Contract
Implied though not
directly expressed.
Inherent in the nature
of something.

39
Explicit vs Implicit Contracts
API

Explicit Contract

Semantics

Input

nova boot --flavor 2 --image
e0b7734d-2331-42a3b19e-067adc0da17d 
--block_device_mapping
vda=3195a5a7-fd0d-4ac3b919-7ba6cbe11d46:::0
myInstanceFromVolume

Architecture
Output

Behavior

Implicit Contract
VM available in 4 min
95% of time

40
Explicit vs Implicit Contracts
Input

API

Critical for
Compatibility

When System
is a Black Box
Delivering a Service...
Output

Behavior

41

Critical for
Interoperability
To Enable Mass Adoption...
APIs (controls & instrumentation) must be largely the same

:) :(
42
Compatibility versus Interoperability
These are NOT the same
Cars and semi-trucks (aka “lorries”) are compatible but
not interoperable
Two cars of the same kind are interoperable

Compatibility is a consistent interface
the explicit contract

Interoperability is an equivalent
(and interchangeable) behavior
43
Compatibility versus Interoperability
All systems are like this, even clouds
AWS

GCE

AWS & GCE are highly similar
(semantically, behaviorally and
architecturally)
This architecture is Elastic Cloud

AWS & Rackspace Cloud are
mostly similar
RAX

e.g. Rackspace control plane spans
AZs, but still it’s Elastic Cloud

VMW

AWS & VMware clouds (like
Savvis) are very dissimilar
e.g. Fixed vs variable VM sizes
44
OpenStack is
NOT a System
Definition of a System
1) A set of components
2) Integrated into a specific architecture
designed for a purpose
3) Greater than the sum of its parts

46
Definition of a System
1) A set of components
2) Integrated into a specific architecture
designed for a purpose
3) Greater than the sum of its parts
OpenStack is a component framework
w/o an integrated reference architecture
47
OpenStack Component Framework
Other stuff, you probably need/want

Topology &
Metadata

CLI tools

Dashboard

REST

Other tools

UI Layer

REST

Provisioning
Orchestration

Networking
REST

Log
Aggregation

Block
Storage

Compute

Object
Storage

REST

REST

Health
Monitoring

DNS

etc.

Image
Management

SQL, etc.

Database
/ KVS
/ Cache

REST

Varies

Physical
Network
Provider

Meter Data

Identity
Management

Varies

Hypervisor(s)

48

Elastic
Services
Layer

Metering

Varies

External
Block
Provider

Shared
Services
Layer
AMQP/0MQ

Queuing

Data &
Resource
Layer
OpenStack Component Framework
Other stuff, you probably need/want

Topology &
Metadata

Which
CLI & Mgmt
CLItools
Tools?

Use the
Dashboard
Dashboard?

REST

Other tools

UI Layer

REST

Provisioning
Orchestration

Log
Aggregation

Which
Orchestration?

Block
Which
Storage
Networking
Hypervisors
Block
REST Storage?
or Plugin? REST Hardware?
&
Networking
Which

Compute
Which

REST

Health
Monitoring

DNS

etc.

Where to
Image
Store
Management
Images?
SQL, etc.

Database
/ KVS
/ Cache

REST

Varies

Physical
Network
Provider

Object
Storage?

Meter Data

Which
Identity
Identity
Management
Management?

Configure the
Metering
Metering?

Varies

Hypervisor(s)

49

Object
Which
Storage

Elastic
Services
Layer

Varies

External
Block
Provider

Shared
Services
Layer

AMQP/0MQ

Queuing

Data &
Resource
Layer
OpenStack Component Framework
Very flexible like the Linux kernel
Components don’t have to be used in the
same architecture
Private / Public Cloud
Metering / Billing Platform

OpenStack
Components

Cloud App Mgt Framework
Storage Platform
PaaS Platform
50
Integrate Components to get a System

The components
integrated into
the black box
matter (a lot)
51
Making OpenStack Compat./Interop.
with Elastic Public Clouds
Some flavors of OpenStack need to
embrace the architecture, semantics
and behavior of elastic clouds
This will allow true Hybrid Cloud for:

AWS
GCE
RAX
Azure
...

Reduced friction for Cloud Application Management tools
Easy repatriation and expatriation of apps

The API is the track gauge for compatibility.
The rest is what you put on the tracks.
52
The Track Gauge Wars
OpenStack’s inherent flexibility means winning the
compatibility and interoperability race

http://schools-wikipedia.org/wp/g/Great_Western_Railway.htm
53
The Track Gauge Wars
OpenStack’s inherent flexibility means winning the
compatibility and interoperability race
Cloud is
Somewhere
Around Here

http://schools-wikipedia.org/wp/g/Great_Western_Railway.htm
53
Hybrid Cloud is
the Future
OpenStack is the Key to that Future
OpenStack’s perceived weakness is its greatest
strength
Flexibility & NOT being a pre-integrated system
means it can take many forms
Some of these can be public cloud compatible
(OpenStack’s future dominance depends on it)

55
Public Cloud Compatibility and
Interoperability requires...
Same APIs (the explicit contract)
Same Behavior (the implicit contract)
API and Behavioral Equivalency requires
Same Semantics
Same Architecture

56
Hybrid Cloud Brings Both Worlds Together
Manage apps on public and private cloud as a single entity

Private
Cloud

Public
Cloud
Scalable
General
Purpose

Renter
Economics

Secure
Optimized
Purpose

On Demand

Hybrid Cloud
Bridging the great divide!

57

Owner
Economics
Controlled
The Hybrid-First Cloud Strategy
1) Embrace public cloud architectures
AWS, GCE, RAX, Azure, and possibly vCloud

2) Expand work on refstack & Tempest
Public cloud interoperability & hybrid cloud

3) Embrace & extend existing AWS tests
eutester, aws-compat, OpenStack tempest, NetflixOSS

58
Summary
Public Cloud App Repatriation
1

Private Cloud Can Be Cost Effective
As long as it’s designed like a public cloud

2

Hybrid Cloud Provides Best of Both
You probably want maximum choice

3

Hybrid Requires Behavioral Equivalency
Interoperability and Compatibility are Real

4

Hybrid-first Cloud Strategy
...and OpenStack is the key to building many
different hybrid cloud solutions

60
Q&A
Randy Bias
CEO & Co-founder, Cloudscaling
Director, OpenStack Foundation
@randybias

engineering blog
http://simplicityscales.com/
61

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AWS Repatriation: Bring Your Apps Back

  • 1. @randybias AWS Repatriation Bring Your Apps Back OpenStack Summit, Hong Kong November 5th, 2013 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution* * All unlicensed or borrowed works retain their original licenses
  • 2. @randybias AWS Repatriation Pub Cloud Repatriation Bring Your Apps Back OpenStack Summit, Hong Kong November 5th, 2013 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution* * All unlicensed or borrowed works retain their original licenses
  • 3. @randybias AWS Repatriation Public Cloud Repatriation Apps for Hybrid Cloud What Hybrid-ized Apps Need from Hybrid Cloud OpenStack Summit, Hong Kong November 5th, 2013 CCA - NoDerivs 3.0 Unported License - Usage OK, no modifications, full attribution* * All unlicensed or borrowed works retain their original licenses
  • 5. Who OpenStack Foundation Board of Directors Prod. OpenStack pioneer, Cloudscaling: Part of OpenStack community since July 2010 (launch) Wins: KT, Internap, LivingSocial, Seagate & others Advisor to dotCloud (docker.io) Top 10 Cloud Computing Pioneer 5
  • 6. My Bias I run an OpenStack product company ... opinions expressed here are mine Not the foundation, not the community, just one POV I believe the pioneers to emulate are: I have run big data centers 100K+ sq ft, 1,000s of physical servers, 100s of switches 6
  • 7. FYI: State of the Stack v2 Live broadcast from OpenStack Summit Nov 6th, 10AM Hong Kong / 6PM PST Register here: http://cloudscaling.com/stack 7
  • 8. 1 Why repatriate from public clouds? 2 Repatriation requirements 3 Repatriation & behavorial parity 4 Understanding systems contracts 5 Compatibility vs interoperability 6 OpenStack is not a system 7 OpenStack is key to a hybrid cloud future 8 Wrapping up 8
  • 10. Public & Private Cloud 10
  • 11. Public & Private Cloud Strengths Private Cloud Public Cloud General Purpose Renter Economics Optimized Purpose Large Resource Pool Owner Economics Direct Control 11
  • 12. Public & Private Cloud Drawbacks Private Cloud Public Cloud General Purpose Renter Economics Optimized Purpose Large Resource Pool Owner Economics Direct Control • Expensive at scale • Limited control for optimization • 3rd party dependency & trust • Higher upfront capital outlay • IaaS architectural expertise needed • IaaS operational expertise needed 12
  • 13. Why Repatriate from Public Clouds? Reduce Cost, Increase Control and Ensure Compliance 13
  • 14. Cost - Own the Base, Rent the Spike Workload Demand Public Cloud Rent the Spike Hybrid Cloud Own the Base Private Cloud Utilized Capacity 1 2 3 4 5 14 6 7 Days
  • 15. Control - Optimize Hardware for Workloads CPU & IO Constrained Memory Constrained CPU CPU $$ RAM $$$ RAM DISK $$$$ DISK $$$$ Network IO Network IO $$$ 15
  • 16. Compliance - and Security Public clouds will close security gap Already made exceptional progress Many public clouds are more secure than the average enterprise Some security requirements may be impossible Specific hardware difficult for public clouds to implement as a solution Many won’t use public for key workloads Regional differences in regulatory compliance 16
  • 17. Hybrid Cloud Enables Repatriation Manage apps on public and private cloud as a single entity Public Cloud General Purpose Renter Economics Large Resource Pool • Unpredictable Workloads • Scalable Data Processing • Cloudbursting Hybrid Cloud Choice Flexibility Agility + 17 Private Cloud Optimized Purpose Owner Economics Direct Control • Predictable Workloads • Sensitive Data Storage • Reverse Cloudbursting
  • 19. Repatriation Isn’t Automatic Requires Compatibility & Interoperability Build private cloud to similar spec as the top public clouds if you want: 1 Economies of scale: Operational Costs 2 Economies of scale: HW pricing parity 3 Application portability 4 Elastic cloud architectures cattle vs. pets 19
  • 20. Virtualization vs. Elastic Cloud Elastic Virtualization 2.0 20
  • 21. Example: OpenStack on a Vblock AWS doesn’t run on a Vblock and never will Neither does GCE, RAX, Azure, or any top public cloud 3-5x more expensive than AWS retail price Upwards of 8x more expensive than wholesale OpenStack on a Vblock for non-cloud apps SAP, Oracle 10g, vSphere support, etc. This is the Virtualization 2.0 approach So-called “software-defined datacenter” 21
  • 22. Example: OpenStack via OCS 50% savings over AWS over 3-5 years Public Cloud @ 20% Annual Growth ($17.4m over 5 Years) Cost / Yr 4.8 $4m $3m 4.0 3.4 2.7 2.8 $2m Private Cloud @ 20% Annual Growth ($9.6m over 5 Years) 2.2 1.8 2.3 1.6 1.4 $1m Time Yr1 Yr2 Yr3 Yr4 22 Yr5
  • 23. Example: OpenStack via OCS 50% savings over AWS over 3-5 years OCS w/ Support AWS 1 Year Res w/o Support AWS On Demand w/o Support m1.small $13 $24 $44 m1.medium $25 $49 $88 m1.large $50 $97 $175 m1.xlarge $101 $194 $350 23
  • 24. Top (Elastic) Clouds Hybrid cloud only makes sense with the leaders; all elastic Public Cloud Usage AWS RAX GCE Running apps Windows Azure Experimenting 0% 20% 40% 60% % of Respondents Source: RightScale State of the Cloud Report 2013 24 80% 100%
  • 25. Make Private Clouds Look Like Major Public Elastic Clouds? Assume application manages its own fate Scaling, self-healing, data replication Commodity hardware, not gold-plated Smart apps don’t need infrastructure resiliency Operational model: cattle vs. pets In public clouds, servers die all the time & no one cares ALL of the top public clouds are elastic 25
  • 27. Behavior Matters Moving apps between clouds is hard Abstractions and APIs can only do so much Impedance mismatches are common Any two clouds don’t behave the same Some clouds are very very similar GCE and AWS are 95% semantically, architecturally, and behaviorally equivalent This is better than what you find with any two OpenStack clouds Yet these are proprietary software stacks Let’s look at some examples 27
  • 28. Ex 1: VM Spinup Times Cloud #1: spins up a VM in 5 mins or less e.g. AWS, GCE, RAX, Azure Cloud #2: spins up a VM in 60 minutes e.g. SFR in France Write an app deployment framework If you build on cloud #1 first Assume 5 minutes and retry when a VM fails to show up Causes a failure on cloud #2 when I switch If you build on cloud #2 first Works on cloud #1 Now “auto-scaling” takes 1 hour response time 28
  • 29. Ex 2: Block Storage Snapshotting Cloud #1: has incremental snapshotting e.g. AWS, Azure Cloud #2: has only full snapshotting e.g. cinder backup via OpenStack Write an app deployment framework manages persistent disks as a mechanism for advanced deployment methods (e.g. EngineYard on AWS) Build on Cloud #1 Snapshot & restore times on cloud #2 cause failures Build on Cloud #2 In testing the non-incremental snapshots mean I can’t use block storage as needed 29
  • 30. Ex 2: Missing or Different Features Cloud #1: OpenStack w/ floating IP autoassignment Cloud #2: OpenStack w/o auto-assignment Write an app deployment framework: manages VM spinup on behalf of application Build on Cloud #1 Once I try to run on cloud #2, it all breaks because I have to add a check for whether floating IP is there and then add if not Build on Cloud #2 Probably runs on cloud #1 30
  • 31. Repatriation Checkpoint Repatriation often makes sense for Cost, Control, Security and Compliance Repatriation isn’t automatic it requires compatibility & interoperability Cloud behavior matters How to enable compatibility and interoperability in a hybrid cloud world? 31
  • 33. Why Are We Talking About Systems? We need a common understanding of cloud design principles to agree on what makes a hybrid cloud possible. 33
  • 34. Definition of a System 1) A set of components 2) Integrated into a specific architecture designed for a purpose 3) Greater than the sum of its parts 34
  • 35. System Taxonomy Input API How to interface with the system Semantics Architecture Output Names & definitions that describe the architecture How the components fit together Behavior 35 What the system actually does
  • 36. System Example: Automobile Input API Gas/brake pedals, steering column, climate controls, etc. Semantics Architecture Output Behavior 36 Accelerate, decelerate, turn wheels, power lights, heat/cool cabin, component monitoring, deploy air bags, etc.
  • 37. System Example: Private Cloud Input API RunInstances AllocateAddress CreateVolume AttachVolume CreateSnapshot... Compute Networking Block Storage Object Storage Semantics Architecture Output Behavior 37 Launch a VM Get a floating IP Create a volume Attach a volume Take a snapshot...
  • 39. Explicit vs Implicit Contracts Input API Semantics Explicit Contract Precisely and clearly expressed or readily observable. Leaves nothing to inference. Architecture Output Behavior Implicit Contract Implied though not directly expressed. Inherent in the nature of something. 39
  • 40. Explicit vs Implicit Contracts API Explicit Contract Semantics Input nova boot --flavor 2 --image e0b7734d-2331-42a3b19e-067adc0da17d --block_device_mapping vda=3195a5a7-fd0d-4ac3b919-7ba6cbe11d46:::0 myInstanceFromVolume Architecture Output Behavior Implicit Contract VM available in 4 min 95% of time 40
  • 41. Explicit vs Implicit Contracts Input API Critical for Compatibility When System is a Black Box Delivering a Service... Output Behavior 41 Critical for Interoperability
  • 42. To Enable Mass Adoption... APIs (controls & instrumentation) must be largely the same :) :( 42
  • 43. Compatibility versus Interoperability These are NOT the same Cars and semi-trucks (aka “lorries”) are compatible but not interoperable Two cars of the same kind are interoperable Compatibility is a consistent interface the explicit contract Interoperability is an equivalent (and interchangeable) behavior 43
  • 44. Compatibility versus Interoperability All systems are like this, even clouds AWS GCE AWS & GCE are highly similar (semantically, behaviorally and architecturally) This architecture is Elastic Cloud AWS & Rackspace Cloud are mostly similar RAX e.g. Rackspace control plane spans AZs, but still it’s Elastic Cloud VMW AWS & VMware clouds (like Savvis) are very dissimilar e.g. Fixed vs variable VM sizes 44
  • 46. Definition of a System 1) A set of components 2) Integrated into a specific architecture designed for a purpose 3) Greater than the sum of its parts 46
  • 47. Definition of a System 1) A set of components 2) Integrated into a specific architecture designed for a purpose 3) Greater than the sum of its parts OpenStack is a component framework w/o an integrated reference architecture 47
  • 48. OpenStack Component Framework Other stuff, you probably need/want Topology & Metadata CLI tools Dashboard REST Other tools UI Layer REST Provisioning Orchestration Networking REST Log Aggregation Block Storage Compute Object Storage REST REST Health Monitoring DNS etc. Image Management SQL, etc. Database / KVS / Cache REST Varies Physical Network Provider Meter Data Identity Management Varies Hypervisor(s) 48 Elastic Services Layer Metering Varies External Block Provider Shared Services Layer AMQP/0MQ Queuing Data & Resource Layer
  • 49. OpenStack Component Framework Other stuff, you probably need/want Topology & Metadata Which CLI & Mgmt CLItools Tools? Use the Dashboard Dashboard? REST Other tools UI Layer REST Provisioning Orchestration Log Aggregation Which Orchestration? Block Which Storage Networking Hypervisors Block REST Storage? or Plugin? REST Hardware? & Networking Which Compute Which REST Health Monitoring DNS etc. Where to Image Store Management Images? SQL, etc. Database / KVS / Cache REST Varies Physical Network Provider Object Storage? Meter Data Which Identity Identity Management Management? Configure the Metering Metering? Varies Hypervisor(s) 49 Object Which Storage Elastic Services Layer Varies External Block Provider Shared Services Layer AMQP/0MQ Queuing Data & Resource Layer
  • 50. OpenStack Component Framework Very flexible like the Linux kernel Components don’t have to be used in the same architecture Private / Public Cloud Metering / Billing Platform OpenStack Components Cloud App Mgt Framework Storage Platform PaaS Platform 50
  • 51. Integrate Components to get a System The components integrated into the black box matter (a lot) 51
  • 52. Making OpenStack Compat./Interop. with Elastic Public Clouds Some flavors of OpenStack need to embrace the architecture, semantics and behavior of elastic clouds This will allow true Hybrid Cloud for: AWS GCE RAX Azure ... Reduced friction for Cloud Application Management tools Easy repatriation and expatriation of apps The API is the track gauge for compatibility. The rest is what you put on the tracks. 52
  • 53. The Track Gauge Wars OpenStack’s inherent flexibility means winning the compatibility and interoperability race http://schools-wikipedia.org/wp/g/Great_Western_Railway.htm 53
  • 54. The Track Gauge Wars OpenStack’s inherent flexibility means winning the compatibility and interoperability race Cloud is Somewhere Around Here http://schools-wikipedia.org/wp/g/Great_Western_Railway.htm 53
  • 56. OpenStack is the Key to that Future OpenStack’s perceived weakness is its greatest strength Flexibility & NOT being a pre-integrated system means it can take many forms Some of these can be public cloud compatible (OpenStack’s future dominance depends on it) 55
  • 57. Public Cloud Compatibility and Interoperability requires... Same APIs (the explicit contract) Same Behavior (the implicit contract) API and Behavioral Equivalency requires Same Semantics Same Architecture 56
  • 58. Hybrid Cloud Brings Both Worlds Together Manage apps on public and private cloud as a single entity Private Cloud Public Cloud Scalable General Purpose Renter Economics Secure Optimized Purpose On Demand Hybrid Cloud Bridging the great divide! 57 Owner Economics Controlled
  • 59. The Hybrid-First Cloud Strategy 1) Embrace public cloud architectures AWS, GCE, RAX, Azure, and possibly vCloud 2) Expand work on refstack & Tempest Public cloud interoperability & hybrid cloud 3) Embrace & extend existing AWS tests eutester, aws-compat, OpenStack tempest, NetflixOSS 58
  • 61. Public Cloud App Repatriation 1 Private Cloud Can Be Cost Effective As long as it’s designed like a public cloud 2 Hybrid Cloud Provides Best of Both You probably want maximum choice 3 Hybrid Requires Behavioral Equivalency Interoperability and Compatibility are Real 4 Hybrid-first Cloud Strategy ...and OpenStack is the key to building many different hybrid cloud solutions 60
  • 62. Q&A Randy Bias CEO & Co-founder, Cloudscaling Director, OpenStack Foundation @randybias engineering blog http://simplicityscales.com/ 61