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Dropping Science on Your
    Technology Ecosystem -
    lessons from Ecosystem
         Management

@thesteve0
Steven Citron-Pousty
PaaS Dust Spreader
OpenShift – Red Hat
Monkigras - dropping science on your developer ecosystem
Slide with Tech ecosystem
Science!!




        chase_elliott from flickr
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
Science!!




        chase_elliott from flickr
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
Ecosystems are real
• Well they are actually a model – but with the
  good and the bad




                     AA model of the world
BUT, Conservation Biologists use This
              Model
They had a problem that needed to
 move beyond individual species at best
      Single species = emergency room




                      Mass Energy and Env Affairs on flickr
Where did it really start
Yellowstone - map
Yellowstone – satellite
Yellowstone – ecosystem
Grizzly bear
Wolf
Monkigras - dropping science on your developer ecosystem
Grizzly Denali picture
Main ideas of ecosystem management
•   Ecosystems are multi-dimensional
•   Boundaries are only as real as you want them to be
•   Manage for overall integrity
•   Always collect and synthesize primary data
•   Engage in monitoring
•   Inter-Agency cooperation
•   Humans embedded in nature
•   Adaptive Management – experiment and learn
•   Open to organizational change as fits the system
•   Values are more important than facts and logic
Values and Goals
• You get this from social, economic, and
  political
• Most important
• Not science or quantitative but drives
  everything
Science!!




        chase_elliott from flickr
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
Keystone
• Keystone species – otter
• Bottom of the food chain – menhanden
Who are the keystones in your
ecosystem?
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
Who are your menhaden?
Planned (some forethought) vs Natural
Experiments (need long-term
monitoring before)
OpenShift Example
Adaptive management and planned
experiments
No difference
data: responses out of sent
sample estimates:
prop A       prop B
0.04800000 0.05333333
95 percent confidence interval:
-0.02169480 0.01102814
X-squared = 0.3396, df = 1, p-value = 0.5601
alternative hypothesis: two.sided

                                  Type I = saying there is a difference when there isn’t
                                  Type II = saying there is no difference when there is
What action can you turn into an
experiment?
Natural Experiment
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
OpenShift Example
Monkigras - dropping science on your developer ecosystem
What monitoring are you doing?
What adaptations can you make based
       on knowledge gained?
Take homes
•   Be more quant
•   Do experiments don’t just do
•   Take advantage of natural experiments
•   Manage your ecosystem for key indicators
•   Diversity is important
•   Take the analogy of ecosystems farther and
    learn from them
Monkigras - dropping science on your developer ecosystem
r vs. K life history strategies and you
Where are you on the curve?

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Monkigras - dropping science on your developer ecosystem