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esteban kolsky
thinkJar “cloud purist” @ekolsky
first mention ever of
cloud computing model?
first mention ever of
cloud computing model?
1906
distributed
computing
1931
grid
computing
1970s
network is
the computer
1984
CORBA
DCOM
1990s
network
computing
1999
cloud
computing
2004
state of
sirocco
2007
evolution of the cloud
windstorm that lifts up clouds of dust
(similar to a hadoop)
defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
cloud computing is a model for enabling ubiquitous, convenient, on-
demand network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and services) that
can be rapidly provisioned and released with minimal management effort
or service provider interaction
NIST
defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
cloud computing is a model for enabling ubiquitous, convenient, on-
demand network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and services) that
can be rapidly provisioned and released with minimal management effort
or service provider interaction
NIST
defining the cloud, the “purist” way
• leverage, mashup parts of history, current
definitions
– distributed computing
– single instance with replication
– uses systems management
– computing as a service
– separation into three layers
– open network
– connected and integrated
– measured by the usage, not by the user
– public, public, and public
IaaS
PaaS
SaaS
S
S
S
S
P
P
P P
I
I
I
I
connectivity
database
legacy
internet
security
business rules
compliance
directory
presentation
validation
interaction
personalization
a picture worth a thousand words or more
barriers to cloud – irrational fear of the unknown
barriers to cloud – change management
barriers to cloud –three laughable IT excuses
integration
scalability
security
barriers to cloud –three laughable IT excuses
debunking security in the cloud: problem
system
1
sys 2 sys 3
partner vendor
system
x
debunking security in the cloud: solution
S
P
I
S
P
I
S
P
I
S
P
I
S
P
I
S
P
I
security
service
security token, created and managed by PaaS
debunking integration: problem
system
1
system
2
system
3
partner vendor
system
x
debunking integration: solution a
S
P
I
S
P
I
S
P
I
S
P
I
SaaS-SaaS integration, within
the application, leveraging
the cloud
similar to existing, uses
service calls, middleware
debunking integration: solution b
S
P
I
S
P
I
S
P
I
S
P
IPaaS-PaaS integration,
leveraging the cloud, no need
for middleware,
easiest for elasticity (scale
out), establish once, reuse
many times as necessary
scalability: three sustaining pillars
design for
scalability
in the
cloud
scalability
must occur
in two
ways – up
and out
define
scalability by
Capacity
Availability
Performance
cloud scalability
the entire concept of cloud computing was conceived for scalability
sake
making the case for cloud computing E1
making the case for cloud computing E1
conomics
easiest part of the equation: someone else hosts hardware, software,
maintenance
anyway to look at it, remote, distributed computing is cheaper
move from CAPEX to OPEX is very attractive to managing stakeholders
cloud ROI traditionally done by comparing IT budgets to cloud expenses
#mmmkay
scalability, integration are cheaper and easier, security is still under (hot)
debate
making the case for cloud computing E2
making the case for cloud computing E2
lasticity
inherent to cloud architectures
makes case for scalability, high-availability, failover planning
done wrong – remember the failure of amazon EC2 and the
problems it caused
is a scale-out model in single-tenancy, multi-instance, that cannot
be tested
requires systems management for proper instance maintenance
making the case for cloud computing E3
making the case for cloud computing E3
nterprise application stores
mobile, social, user empowerment – all changed the game
users aren’t putting up with big, complex applications – they want “apps” on
iPad
best bet for support for all business is adoption of EAS, cloud is a must for that
model scalability, flexible interfaces, myriad device access via platform – all
part of the cloud two-to-three year trend, if you haven’t started – better get
going
making the case for cloud computing E4
making the case for cloud computing E4
xpansion
plans for all business units in next few years include “cloud” and SaaS
plans for IT over next three-to-four years include cloud infrastructure
integration, plans from partners, providers, suppliers, associates include cloud
in next five years
expansion of any organization must include cloud going forward, no questions
if all other fails, cite the fact that competitors are expanding into cloud
#Winning
making the case for cloud computing E5
making the case for cloud computing E5
volution
evolution of the world comes down to cloud, organizations have to adapt
vendors are evolving their products from hosted, on-demand to cloud
ventures with partners, other organizations will demand cloud; three-to-four
years
customers are demanding cloud –stirred up by microsoft “to the cloud” TV ads
with differentiation of what is cloud and how to deploy in it, definitely a must-
do
making the case for cloud computing E6
making the case for cloud computing E6
infrastructur
reports say from 10% to 30% of IT budgets put on cloud infrastructure
reports highlight more money spent by BU than IT on SaaS applications;
continuing
organizations cannot leverage the cloud as an external service only, must
integrate
to make cloud work across organization, to retain security, to enhance
integration – IT must be responsible for centralized cloud infrastructure; CEOs
are seeing this
issues: hosted != on-demand != cloud
• hosted: a vendor puts a web-interface to their apps
– MT (multitenancy) is a big deal here
– licensing is by the user, as usual
– reduced functionality or poor performance by comparison
• on-demand: vendors leverages SaaS, PaaS model
– web interface
– MT benefits vendor; not so much clients
– usually SaaS and PaaS “all in one” failing to leverage cloud
• cloud: three layer distributed computing model
– MT, single-instance hard to scale; ST, multi-instance better
– licensing by usage, starting, is winner model for biz
issues: private cloud
• short, simple, sweet
• today’s private cloud is used as a bridge between
client-server, web-based, on-demand, and SaaS
worlds to get to the real cloud infrastructure
• use if you must, you are better off planning around it
any well done definition of the cloud specifically
calls for open networks to support the cloud;
private clouds violate core tenet of cloud
your next steps
• define the cloud (for you)
• take charge of your existing “cloud” initiatives
–across stakeholders
–make case for central IT control
• setup 3-5 years strategy and investment
• get going, do your infrastructure while you
leverage SaaS and on demand solutions
• learn, implement, learn, implement – you get the
idea
let’s talk…

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Defining the true cloud (SugarCRM Webinar from 2012)

  • 1. esteban kolsky thinkJar “cloud purist” @ekolsky
  • 2. first mention ever of cloud computing model?
  • 3. first mention ever of cloud computing model? 1906
  • 5. windstorm that lifts up clouds of dust (similar to a hadoop)
  • 6. defining the cloud by “the book” cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a utility (like the electricity grid) over a network (typically the internet) wikipedia
  • 7. defining the cloud by “the book” cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a utility (like the electricity grid) over a network (typically the internet) wikipedia
  • 8. defining the cloud by “the book” cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a utility (like the electricity grid) over a network (typically the internet) wikipedia cloud computing is a model for enabling ubiquitous, convenient, on- demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction NIST
  • 9. defining the cloud by “the book” cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a utility (like the electricity grid) over a network (typically the internet) wikipedia cloud computing is a model for enabling ubiquitous, convenient, on- demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction NIST
  • 10. defining the cloud, the “purist” way • leverage, mashup parts of history, current definitions – distributed computing – single instance with replication – uses systems management – computing as a service – separation into three layers – open network – connected and integrated – measured by the usage, not by the user – public, public, and public
  • 12. barriers to cloud – irrational fear of the unknown
  • 13. barriers to cloud – change management
  • 14. barriers to cloud –three laughable IT excuses
  • 15. integration scalability security barriers to cloud –three laughable IT excuses
  • 16. debunking security in the cloud: problem system 1 sys 2 sys 3 partner vendor system x
  • 17. debunking security in the cloud: solution S P I S P I S P I S P I S P I S P I security service security token, created and managed by PaaS
  • 19. debunking integration: solution a S P I S P I S P I S P I SaaS-SaaS integration, within the application, leveraging the cloud similar to existing, uses service calls, middleware
  • 20. debunking integration: solution b S P I S P I S P I S P IPaaS-PaaS integration, leveraging the cloud, no need for middleware, easiest for elasticity (scale out), establish once, reuse many times as necessary
  • 21. scalability: three sustaining pillars design for scalability in the cloud scalability must occur in two ways – up and out define scalability by Capacity Availability Performance cloud scalability the entire concept of cloud computing was conceived for scalability sake
  • 22. making the case for cloud computing E1
  • 23. making the case for cloud computing E1 conomics easiest part of the equation: someone else hosts hardware, software, maintenance anyway to look at it, remote, distributed computing is cheaper move from CAPEX to OPEX is very attractive to managing stakeholders cloud ROI traditionally done by comparing IT budgets to cloud expenses #mmmkay scalability, integration are cheaper and easier, security is still under (hot) debate
  • 24. making the case for cloud computing E2
  • 25. making the case for cloud computing E2 lasticity inherent to cloud architectures makes case for scalability, high-availability, failover planning done wrong – remember the failure of amazon EC2 and the problems it caused is a scale-out model in single-tenancy, multi-instance, that cannot be tested requires systems management for proper instance maintenance
  • 26. making the case for cloud computing E3
  • 27. making the case for cloud computing E3 nterprise application stores mobile, social, user empowerment – all changed the game users aren’t putting up with big, complex applications – they want “apps” on iPad best bet for support for all business is adoption of EAS, cloud is a must for that model scalability, flexible interfaces, myriad device access via platform – all part of the cloud two-to-three year trend, if you haven’t started – better get going
  • 28. making the case for cloud computing E4
  • 29. making the case for cloud computing E4 xpansion plans for all business units in next few years include “cloud” and SaaS plans for IT over next three-to-four years include cloud infrastructure integration, plans from partners, providers, suppliers, associates include cloud in next five years expansion of any organization must include cloud going forward, no questions if all other fails, cite the fact that competitors are expanding into cloud #Winning
  • 30. making the case for cloud computing E5
  • 31. making the case for cloud computing E5 volution evolution of the world comes down to cloud, organizations have to adapt vendors are evolving their products from hosted, on-demand to cloud ventures with partners, other organizations will demand cloud; three-to-four years customers are demanding cloud –stirred up by microsoft “to the cloud” TV ads with differentiation of what is cloud and how to deploy in it, definitely a must- do
  • 32. making the case for cloud computing E6
  • 33. making the case for cloud computing E6 infrastructur reports say from 10% to 30% of IT budgets put on cloud infrastructure reports highlight more money spent by BU than IT on SaaS applications; continuing organizations cannot leverage the cloud as an external service only, must integrate to make cloud work across organization, to retain security, to enhance integration – IT must be responsible for centralized cloud infrastructure; CEOs are seeing this
  • 34. issues: hosted != on-demand != cloud • hosted: a vendor puts a web-interface to their apps – MT (multitenancy) is a big deal here – licensing is by the user, as usual – reduced functionality or poor performance by comparison • on-demand: vendors leverages SaaS, PaaS model – web interface – MT benefits vendor; not so much clients – usually SaaS and PaaS “all in one” failing to leverage cloud • cloud: three layer distributed computing model – MT, single-instance hard to scale; ST, multi-instance better – licensing by usage, starting, is winner model for biz
  • 35. issues: private cloud • short, simple, sweet • today’s private cloud is used as a bridge between client-server, web-based, on-demand, and SaaS worlds to get to the real cloud infrastructure • use if you must, you are better off planning around it any well done definition of the cloud specifically calls for open networks to support the cloud; private clouds violate core tenet of cloud
  • 36. your next steps • define the cloud (for you) • take charge of your existing “cloud” initiatives –across stakeholders –make case for central IT control • setup 3-5 years strategy and investment • get going, do your infrastructure while you leverage SaaS and on demand solutions • learn, implement, learn, implement – you get the idea

Hinweis der Redaktion

  1. American society of mechanical engineersNew concepts technologies, such as distributed computingUsing computers? No, but the concept was developed with views to the future
  2. American society of mechanical engineersNew concepts technologies, such as distributed computingUsing computers? No, but the concept was developed with views to the future
  3. 1931 –Air Force invest $3MM towards understanding how distributed computing can change the world1946 – RAND defines distributed computing models1970 – IBM starts playing with models for grid computing (not like today, think shared timeshare, plus the “owned” most of the “iron)1976 – NCC the future of distributed computing systems, “future trends in distributed computing systems” mentions grid computing1984 – SUN (stanford university network) computer1991,1993 –- CORBA, COM/DCOM - Larry Elison, networking computing is nothing new – why make such a fuss?1999 – salesforce launches using SaaS model (from distributed computing fame, does not mention cloud yet – no software, hosted was their model – MT begins in earnest)2004 – eric schmidt make first reference to cloud computing since internet came about, starts craziness - 2009 – sirocco (wikipedia -
  4. FearChange of infrastructureUpgrade cycleThree core problemsScalabilityIntegrationSecurity
  5. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  6. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  7. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  8. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  9. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  10. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  11. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  12. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  13. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure
  14. EconomicsElasticityEnterprise Application StoresExpansionEvolutionInfrastructure