The document discusses how information technology is changing due to economic and technological factors that are driving a shift towards cloud computing and a service-based economy. Some key points discussed include:
- IT is changing due to commoditization of technologies, innovation of new products/services, and the need for constant evolution.
- Cloud computing is a consequence of conditions that have combined to cause a disruptive change in IT towards a service-based economy, providing economies of scale, pay-per-use models, faster innovation, and allowing companies to focus on their core business.
- The change is driven by factors like componentization of the technology stack, availability of infrastructure, platform and software as online services, and the idea
The “Residential Gateway” concept did not get a warm welcome at IBM until the name was changed to “Inter|section Gateway” (or Service Gateway) and messaging was changed to stress the vision of an IBM-scale, multi-billion dollar business.
These slides (circa 1997) are from my early work on gateways at IBM and have provide considerable insight into the Connected Home of today.
The “Residential Gateway” concept did not get a warm welcome at IBM until the name was changed to “Inter|section Gateway” (or Service Gateway) and messaging was changed to stress the vision of an IBM-scale, multi-billion dollar business.
These slides (circa 1997) are from my early work on gateways at IBM and have provide considerable insight into the Connected Home of today.
An introduction into the use of Wardley maps for topographical intelligence in business. This includes, why maps matter, how to map, some common economic patterns useful for prediction, common forms of doctrine and the concept of context specific gameplay.
Situation Normal Everything Must Change - from innovation to commoditisation ...Simon Wardley
General shortened version of the presentation covering evolution, change, mapping, ecosystems, cloud, economic cycles, commoditisation, componentisation, strategy and open approaches.
A very rough summary of my Hosting Con keynote on the cloud, underlying forces of change, the evolution of business activities, new models of management and what this means for hosting companies.
Situation Normal Everything Must ChangeSimon Wardley
A very rough and extremely condensed summary of my three hour OSCON 2011 tutorial on business evolution, cloud, new forms of organisational patterns, tactics, and competition.
Early presentation of Zimki (one of the original platform as a service offerings) given in 2006, used as a basis for subsequent presentations at OSCON in 2007.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
An introduction into the use of Wardley maps for topographical intelligence in business. This includes, why maps matter, how to map, some common economic patterns useful for prediction, common forms of doctrine and the concept of context specific gameplay.
Situation Normal Everything Must Change - from innovation to commoditisation ...Simon Wardley
General shortened version of the presentation covering evolution, change, mapping, ecosystems, cloud, economic cycles, commoditisation, componentisation, strategy and open approaches.
A very rough summary of my Hosting Con keynote on the cloud, underlying forces of change, the evolution of business activities, new models of management and what this means for hosting companies.
Situation Normal Everything Must ChangeSimon Wardley
A very rough and extremely condensed summary of my three hour OSCON 2011 tutorial on business evolution, cloud, new forms of organisational patterns, tactics, and competition.
Early presentation of Zimki (one of the original platform as a service offerings) given in 2006, used as a basis for subsequent presentations at OSCON in 2007.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
23. It’s like SaaS or software as a service, and
infrastructure provision and PaaS, that’s
platform as a Service and utility
computing being provided in public clouds,
which is different from private clouds
which aren’t cloud computing, unless of
course you’re talking about hybrid clouds
which sort of are and it’s hype and lock-in
and did I mention infrastructure?
25. Cloud Computing
“Cloud computing” is a consequence of
economic and technological conditions that
have combined to cause a disruptive change
in I.T. towards a service based economy.
63. Why I.T. is changing
Common
Ubiquity
Novel
Low High
Certainty
64. Why I.T. is changing
Common
Ubiquity
Novel
Low High
Certainty
65. Why I.T. is changing
Common
TV’s, Phone,VCRs
Ubiquity
Novel
Low High
Certainty
66. Why I.T. is changing
Common
Ubiquity
Novel
Low High
Certainty
67. Why I.T. is changing
Common
Ubiquity
INNOVATION
Novel
Low High
Certainty
68. Why I.T. is changing
Common
COMMODITY
Ubiquity
INNOVATION
Novel
Low High
Certainty
69. Why I.T. is changing
Common
Ubiquity
Innovation
of CRM.
Novel
Low High
Certainty
70. Why I.T. is changing
Common
Ubiquity
Mid '80s DB
marketing.
Novel
Low High
Certainty
71. Why I.T. is changing
Common
CRM products
90’s
Ubiquity
Novel
Low High
Certainty
72. Why I.T. is changing
Common
“Cloud Providers”
like
Salesforce
Ubiquity
Novel
Low High
Certainty
73. Why I.T. is changing
Common
Expense Payroll
Procedure Accounts
Payable
Company
Web site
Ubiquity
Wiki
Social Network
Analysis
Novel
Low High
Certainty
74. Why I.T. is changing
Common
Expense Payroll
Procedure Accounts
Payable
Company
Web site
Ubiquity
Wiki
Social Network
Analysis
Novel
Low High
Certainty
75. Why I.T. is changing
Common
Ubiquity
Novel
Low High
Certainty
76. Why I.T. is changing
Common
Features
Ubiquity
Novel
Low High
Certainty
77. Why I.T. is changing
Common
Widespread
Ubiquity
Novel
Low High
Certainty
78. Why I.T. is changing
Common
Widespread
Ubiquity
Feature
Complete
Novel
Low High
Certainty
79. Why I.T. is changing
Common
Widespread
Ubiquity
Feature
Complete
Novel
Low High
Certainty
80. Why I.T. is changing
Common
“as a Service”
Ubiquity
Novel
Low High
Certainty
81. Why I.T. is changing
Utility
Computing
John McCarthy
83. Why I.T. is changing
The fundamental impulse that sets
and keeps the capitalist engine in
motion comes from the new
consumers, goods, the new methods
of production or transportation, the
new markets, the new forms of
industrial organization that capitalist
enterprise creates.
Joseph A. Schumpeter (1883 - 1950)
84. Why I.T. is changing
The fundamental impulse that sets
and keeps the capitalist engine in
motion comes from the new
consumers, goods, the new methods
of production or transportation, the
new markets, the new forms of
industrial organization that capitalist
enterprise creates.
Joseph A. Schumpeter (1883 - 1950)
85. Why I.T. is changing
Creative
Destruction
Joseph A. Schumpeter (1883 - 1950)
86. Why I.T. is changing
Commoditisation
Bespoke Products Services
Innovation
87. Why I.T. is changing
Bespoke Products Services
Innovation
88. Why I.T. is changing
Power
Hardware
Bespoke Products
Innovation
Internet
89. Why I.T. is changing
Power
Hardware
Bespoke Products
Google
Internet
90. Why I.T. is changing
Operating System
Hypervisor
CPU Memory I/O
91. Why I.T. is changing
Database Framework Messaging
Operating System
Hypervisor
CPU Memory I/O
92. Why I.T. is changing
Application Service
Database Framework Messaging
Operating System
Hypervisor
CPU Memory I/O
93. Why I.T. is changing
Application Service
Database Framework Messaging
Operating System
Hypervisor
CPU Memory I/O
94. Why I.T. is changing
Application Service
Database Framework Messaging
Operating System
Hypervisor
CPU Memory I/O
95. Why I.T. is changing
Application Service
Database Framework Messaging
Operating System
Hypervisor
CPU Memory I/O
96. Why I.T. is changing
Application Service
Database Framework Messaging
10,000 x Operating System
Hypervisor
CPU Memory I/O
97. Why I.T. is changing
Componentisation
Herbert A. Simon (1916 - 2001)
98. Why I.T. is changing
The rate of evolution of a
system is directly related
to the organisation of its
subsystems
Herbert A. Simon (1916 - 2001)
99. Why I.T. is changing
Application Service
Database Platform Messaging
Operating System
Hypervisor
CPU Memory I/O
100. Why I.T. is changing
Application Service
se Platform Messaging
Operating System
Infrastructure
Hypervisor
Memory I/O
101. Why I.T. is changing
Application Service
Platform
se Platform Messaging
Operating System
Infrastructure
Virtualisation
Memory I/O
102. Why I.T. is changing
Application
Application Service
Platform
se Platform Messaging
Operating System
Infrastructure
Virtualisation
Memory I/O
115. Why I.T. is changing
“Cloud computing” is a consequence of
economic and technological conditions that
have combined to cause a disruptive change
in I.T. towards a service based economy.
116. Why I.T. is changing
Creative
Destruction
Joseph A. Schumpeter (1883 - 1950)
117. Why I.T. is changing
Utility
Computing
John McCarthy
131. Recap
“Cloud computing” is a consequence of
economic and technological conditions that
have combined to cause a disruptive change
in I.T. towards a service based economy.
146. Benefits & Risks of Cloud Computing
Common
Market
• Economies of scale. (volume)
• Pay per use. (utility)
• Speed to market.
Competitive
(componentisation)
Gap
• Focus on core.
(outsourcing)
You
• Greener (efficient supply
& demand)
Novel
Low High
171. Canonical and the Cloud
Data
Application
Platform
Operating
Provider System
(i.e. CogHead)
Hypervisor
Bare Metal
172. Canonical and the Cloud
Data
Application
Platform
Operating
System
BOOM!
Hypervisor
Bare Metal
173. Canonical and the Cloud
Data
Application
Platform Platform
Operating Operating
System System
BOOM!
Hypervisor Hypervisor
Bare Metal Bare Metal
174. Canonical and the Cloud
Data
Application
Multiple
Platform Platform
Providers
Operating Operating
System System
Hypervisor Hypervisor
Bare Metal Bare Metal
175. Canonical and the Cloud
Data
Application
Easy
Platform Platform
Switching
Operating Operating
System System
Hypervisor Hypervisor
Bare Metal Bare Metal
176. Canonical and the Cloud
Data
Application
Standard
Platform Platform
Output
Operating Operating
System System
Hypervisor Hypervisor
Bare Metal Bare Metal
192. Canonical and the Cloud
Hypervisor Hypervisor
Bare Metal Bare Metal
Amazon EC2 Private Cloud
193. Canonical and the Cloud
Easy
Hypervisor Hypervisor
Switching
Bare Metal Bare Metal
Amazon EC2 Private Cloud
194. Canonical and the Cloud
Common
Market
• Economies of scale. (volume)
• Pay per use. (utility)
• Speed to market.
Competitive
(componentisation)
Gap
• Focus on core.
(outsourcing)
You
• Greener (efficient supply
& demand)
Novel
Low High
212. Recap
“Cloud computing” is a consequence of
economic and technological conditions that
have combined to cause a disruptive change
in I.T. towards a service based economy.
213. Recap
• Economies of scale. (volume)
• Pay per use. (utility)
• Speed to market. (componentisation)
• Focus on core. (outsourcing)
214. Recap
Common
Market
• Economies of scale. (volume)
• Pay per use. (utility)
• Speed to market.
Competitive
(componentisation)
Gap
• Focus on core.
(outsourcing)
You
• Greener (efficient supply
& demand)
Novel
Low High
215. Recap
Transition General
• Management. • Suitability.
• Trust. • Price competition.
• Transparency. • Lock-in.
• Security of supply. • Second sourcing.
233. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
252. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
281. Benefits & Risks of Cloud Computing
http://www.flickr.com/photos/rednuht/479370088
282. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
284. Complexity
Common
Ubiquity
Innovation
of CRM.
Novel
Low High
Certainty
285. Complexity
Common
Uncertain
Ubiquity
Novel
Low High
Certainty
286. Complexity
Common
Uncertain
Ubiquity
Deviation
Novel
Low High
Certainty
287. Complexity
Common
Uncertain
Ubiquity
Deviation
Differential
Novel
Low High
Certainty
288. Complexity
Common
Uncertain
Ubiquity
Deviation
Differential
Novel
Worth
Low High
Certainty
289. Complexity
Common
Ubiquity
Dynamic
Novel
Low High
Certainty
290. Complexity
Common
Ubiquity
Agile
XP / Scrum
Novel
Low High
Certainty
291. Complexity
Common
Utility-like
provision
of CRM
Ubiquity
Novel
Low High
Certainty
292. Complexity
Common
“Cloud Providers”
like
Salesforce
Ubiquity
Novel
Low High
Certainty
293. Complexity
Common
Defined
Ubiquity
Novel
Low High
Certainty
294. Complexity
Common
Defined
No Deviation
Ubiquity
Novel
Low High
Certainty
295. Complexity
Common
Defined
No Deviation
CODB
Ubiquity
Novel
Low High
Certainty
296. Complexity
Common
Defined
No Deviation
CODB
Ubiquity
Cost
Novel
Low High
Certainty
297. Complexity
Common
Defined
Ubiquity
Novel
Low High
Certainty
298. Complexity
Common
Prince 2,
Six Sigma
Ubiquity
Novel
Low High
Certainty
299. Complexity
Common
Prince 2,
Six Sigma
Ubiquity
Agile
XP, Scrum
Novel
Low High
Certainty
300. Complexity
Common
CRM
Ubiquity
CRM
Novel
Low High
Certainty
301. Complexity
Common
Six Sigma
Ubiquity
Novel
Low High
Certainty
302. Complexity
Common
COMMODITY
Ubiquity
Novel
Low High
Certainty
303. Complexity
Common
Ubiquity
INNOVATION
Novel
Low High
Certainty
304. Complexity
Common
Different
Ubiquity
Methodologies
Novel
Low High
Certainty
305. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
307. Complexity ... Part II
Common
Prince 2,
Six Sigma
Ubiquity
Agile
XP, Scrum
Novel
Low High
Certainty
308. Complexity ... Part II
Common
Six Sigma
Ubiquity
INNOVATION
Novel
Low High
Certainty
309. Complexity ... Part II
Common
Expense Payroll
Procedure Accounts
Payable
Company
Web site
Ubiquity
Wiki
Social Network
Analysis
Novel
Low High
Certainty
310. Complexity ... Part II
Common
Market
Competitive
Ubiquity
Gap
You
Novel
Low High
Certainty
311. Complexity ... Part II
The need to constantly
evolve in order to stand
still relative to an eco-
system.
Professor Leigh M.Van Valen
312. Complexity ... Part II
The fundamental impulse that sets
and keeps the capitalist engine in
motion comes from the new
consumers, goods, the new methods
of production or transportation, the
new markets, the new forms of
industrial organization that capitalist
enterprise creates.
Joseph A. Schumpeter (1883 - 1950)
314. Complexity ... Part II
Innovation Paradox
Survival today requires ‘coherence,
coordination and stability’ [order].
&
Survival tomorrow requires the replacement
of these virtues [disorder].
Salaman & Storey
315. Complexity ... Part II
Common
Order
Ubiquity
Disorder
Novel
Low High
Certainty
320. Complexity ... Part II
Common
Rigorous defined
procedures
Ubiquity
20% Rule
Novel
Low High
Certainty
321. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
338. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
374. More innovation
Common
Rigorous defined
procedures
Ubiquity
Skunk works
Novel
Low High
Certainty
375. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
397. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com
400. Happy Clouds
Three Rules happy
Run the service on my own
Rule 1
machines.
401. Happy Clouds
Three Rules happy
Run the service on my own
Rule 1
machines.
Easily switch between my machines
Rule 2
and a cloud provider.
402. Happy Clouds
Three Rules happy
Run the service on my own
Rule 1
machines.
Easily switch between my machines
Rule 2
and a cloud provider.
Easily switch between cloud
Rule 3
providers.
403. Happy Clouds
Hypervisor
Bare Metal
Private Cloud
404. Happy Clouds
Easy
Hypervisor Hypervisor
Switching
Bare Metal Bare Metal
Amazon EC2 Private Cloud
406. A. The Good, Bad & Ugly
B. Why Transparency Matters
C. Part I - Why I.T. is complex
D. Part II - The Paradox
E. Part III - More or less
F. Things to Watch
G. A fast life
H. Happy Clouds
simon.wardley@canonical.com