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Monthly Archives: April 2019
Understanding and Monitoring Microservices Across Five Levels
Did I know anything about microservices (or DevOps, or…) when I landed at Universal recently? No, I did not. Did that stop me from figuring it out in short order? Nope. Did that stop me from being able to reverse-engineer … Continue reading
A Few Interesting Talks on Architecture and Microservices
These talks were recommended by Chase O’Neill, a very talented colleague from my time at Universal, and proved to be highly interesting. I’ve thought about things like this through my career, and they’re obviously more germane given where things are … Continue reading
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Unified Theory of Business Analysis: Part Four
How Different Management Styles Work Solutions, and let’s face it, those quite often involve the development and modification of software these days, can be realized in the context of many different types of organization. A lot of bandwidth is expended … Continue reading
Using Data In My Framework and In Simulations
I recently wrote about how data is collected and used in the different phases of my business analysis framework. After giving the most recent version of my presentation on the subject I was asked for clarification about how the data … Continue reading
Discrete-Event Simulations and Monte Carlo Techniques
“It was smooth sailing” vs. “I hit every stinkin’ red light today!” Think about all the factors that might affect how long it takes you to drive in to work every day. What are the factors that might affect your … Continue reading
Posted in Simulation
Tagged data collection, discrete-event simulation, Monte Carlo analysis
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