miniblog.

← Back to all posts
Mar 16, 2021 at 04:59
2014 article on how hard it is to make money from OSS, and how Red Hat is an outlier. Perhaps OSS has made software cheaper overall?
Why There Will Never Be Another RedHat: The Economics Of Open Source | TechCrunch
Why There Will Never Be Another RedHat: The Economics Of Open Source | TechCrunch
Open source software powers the world’s technology. In the past decade, there has been an inexorable adoption of open source in most aspects of computing. Without open source, Facebook, Google, Amazon, and nearly every other modern technology company would not exist. Thanks to an amazing community of innovative, top-notch programmers, open source has become the foundation of cloud computing, software-as-a-service, next generation databases, mobile devices, the consumer internet, and even Bitcoin.

Related Posts

Jan 30, 2024 at 06:09
Difftastic is written in Rust, so I was surprised to get a user report of a segfault. After some investigation, it turns out that it's a segfault in git itself, which has existed since 2014! https://lore.kernel.org/git/CAFXAjY7XcL1APhLRXU8TO96z=f7957f2ieK56dHVsXUay55vpg@mail.gmail.com/T/#u (Upstream has already kindly written a patch.)
Making sure you're not a bot!
Jan 12, 2020 at 17:50
Finally migrated my 2014-era web application off an old server. When I set it up, I tried to take good notes. These days I expect a bundle I can deploy with command -- a list of required packages is distro-specific, labour intensive, and bitrots!
Jun 26, 2019 at 00:00
Playing with perf today! It's really interesting to see low-level details of where compute time is going. Branch prediction works well most of the time! (At least for this workload.) Based on https://jvns.ca/blog/2014/05/13/profiling-with-perf/ and
Photo
I can spy on my CPU cycles with perf!
I can spy on my CPU cycles with perf!
Profiling in rust application
Profiling in rust application
As always in performance analysis, the answer depends on what exactly you want to know (for example, exact "number of calls to a function" is a very expensive quantity to measure, so most profilers prefer to give you an approximate "percent of time spent in the function" instead). But in my opinion, the best "default choice" these days is a hardware-assisted sampling profiler. These tools are either operating system or hardware-specific, here are some references that you can look up: Linux: p...