Developer Data Modeling Mistakes: From Postgres to NoSQL
Future of cloud computing linthicum
1. David S. Linthicum
David@bluemountainlabs.com
Twitter: @DavidLinthicum
Are you Ready for the Future of Cloud Computing?
2. Topics
• The Big Picture
• Where we are now with cloud computing.
• Emerging cloud computing trends.
• What the future holds for cloud computing.
• Where to invest your time and money.
• Q&A
3. Where we can be found:
David S. Linthicum
david@bluemountainlabs.com
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Enterprise Systems Journal
5. Datacenters Emerge
1940
1950 Rise of Timesharing
1960
Distributed
1970
Computing
Grids
1980
1990
Rise of the PC
2000
Rise of Client/Server
Rise of the Web 2010
Rise of “The Cloud”
6. Hardware/Software/Infrastructure On-Demand
2010
2012 IT On-Demand
Rise of
“Big Data” 2014
Rise of
Rise of “IT In-a-Box”
“Home 2016
Clouds” Distributed
Rise of Service Sharing
“Commodity 2018
Data Services”
The “Big 2020
Migration” Begins Rise of Shared
Enterprise Business 2022
Services
2024
8. Reflecting on the Hype!
• Gartner - Cloud computing revenue will soar faster than
expected and will exceed $150 billion within five years.
• Forrester - Cloud-Based Email Is Often Cheaper Than
On-Premise Email
• Vivek Kundra, CTO of Obama Government: “Growing
adoption of cloud computing could improve data sharing
and promote collaboration among federal, state and local
governments.” E.g: fedbizopps.gov
• Merrill Lynch: “By 2011 the volume of cloud computing
market opportunity would amount to $160bn, including
$95bn in business and productivity apps (email, office,
CRM, etc.) and $65bn in online advertising.”
• IDC: “Spending on IT cloud services will triple in the next
5 years, reaching $42 billion and capturing 25% of IT
spending growth in 2012.”
8
Sources: http://www.infosysblogs.com/cloudcomputing/2009/08/the_cloud_computing_quotes.htm and http://www.mytestbox.com
13. • Moving from talking cloud to doing
cloud.
• Government entering the cloud
computing game now.
• Security continues to be a priority.
• Little or no expertise in corporate
and government IT.
• Moving to IaaS and then PaaS.
• Leading with private clouds, but
public clouds are the destination.
• Rise of “Big Data.”
15. Big Data Trends
• Data aggregation in
the cloud for
common analytics
within verticals.
• Combining enterprise
data into common
data sets.
• Critical BI.
17. NIST defines cloud computing as a set of characteristics, delivery
models, and deployment models
5 Characteristics
On-demand self-service
Ubiquitous network access 3 Delivery Models
Software as a Service (SaaS)
Resource pooling
Platform as a Service (PaaS) 4 Deployment Models
Rapid elasticity
Private Cloud
Infrastructure as a Service
Pay per use
(IaaS)
Community Cloud
Public Cloud
Hybrid Cloud
18. Delivery Models Morphing
• Software as a Service (SaaS)
– Applications as a Service
– Utilities as a Service
– Connected and Disconnected
• Platform as a Service (PaaS)
– Design as a Service
– Process as a Service
– Testing as a Service
• Infrastructure as a Service (IaaS)
– Database as a Service
– Management as a Service
– Middleware as a Service
– Integration as a Service
– Information as a Service
…and more.
26. Them: “Dave, let us tell you about our
cloud computing strategy.”
Me: “Aren’t you a bakery?”
Them: “Yes, but a bakery in the cloud.”
27. • Buzzword “cloud
computing” is absorbed
into computing.
• Focus on fit and function,
and not the hype.
• Security moves to
“centralized trust” models.
• Centralized data becomes a
key strategic advantage.
• Mobile devices become
more powerful, but thin.
• The rise of the “composite
cloud.”
29. • Focus on the reorganization and
outplacement of data.
• Focus on PaaS, and service
companies that are good at PaaS.
• Focus on centralized trust,
including moving to identity
management models.
• SOA patterns and technology find
new value in the cloud.
• Continued focus on mobile
computing.
• Home clouds (e.g., iCloud) create a
new track of application and
appliance development.
• Rise of the “cloud aggregator.”
31. The shift to Cloud
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