Concurrency Methods in Python: Processes and Processes with Thread Pools
This article covers how to use system processes both with and without thread pools as Python concurrency methods.
Category Archives: Complexity
Concurrency methods in Python: Loops and Thread Pools
This article is the first in a series of articles each illustrating two methods of processing multiple requests with varying amounts and types of concurrency. In this article, I’ll cover simple loops and thread pools.
The Incredible Power Of The Right Questions
There is incredible power in asking the right questions, and following the answers where they lead – especially when they lead to uncomfortable places.
As you probably remember, in March, 2011, a magnitude 9.0 earthquake hit Japan resulting in a massive tsunami which damaged the Fukushima nuclear power plant. Some of the most serious damage occurred because there was no power to cool the reactor.
Scalability from Doing Nothing?
Scalability is the ability to respond gracefully to increased workload. When you have enough of it, life is good. When you have trouble scaling up and your workload goes up, as it inevitably does, life becomes complicated, sometimes miserable. In this blog post I tell you why doing nothing can be the best way to scale…
Simplicity Is King
We fill our lives with things designed to make them easier… In many cases, these things we get to make our lives easier wind up making it more complex. Nowhere is this more apparent than in IT. We have so many choices of ways to create services, to deploy them, and to manage them. I’ve been extensively involved with high-availability work since 1998. One of my mantras in high-availability is “Complexity is the Enemy of Reliability” – and so it is. If you add parts to a thing, more things will fail – period. In high-availability, we add high-availability software – which makes it more complex, and hence less reliable. But we get something back instead – improved availability.