dropping science on your developer ecosystem - lessons from ecosystem management
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Dropping Science on Your Developer Ecosystem - lessons from Ecosystem
Management
@thesteve0Steven Citron-PoustyPaaS Dust SpreaderOpenShift – Red Hat
Slide with Tech ecosystem
Science!!
chase_elliott from flickr
Science!!
Slide with High School picture
• If we go back to High School science
Deserttrumpet on flickr
Ecosystems are real
• Well they are actually a model – but with the good and the bad
And Conservation Biologists use This Model
They had a problem that needed to move beyond individual species
Mass Energy and Env Affairs on flickr
Single species = emergency room at best
Which Animal Forced the Issue
Yellowstone – satellite
Yellowstone - map
Yellowstone – ecosystem
Grizzly bear
Wolf
Grizzly Denali picture
So what are some of the ideas that I will focus on today
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
• 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
Science!!
Keystone
• Keystone species – otter• Bottom of the food chain – menhanden
Who are the keystones in your 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 = 0.5601alternative hypothesis: two.sided
Type I = saying there is a difference when there isn’tType II = saying there is no difference when there is
What action can you turn into an experiment?
Natural Experiment
OpenShift Example
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
r vs. K life history strategies and you
Where are you on the curve?