deploy
- Engineering
- Last Updated: June 04, 2025
- Ken W. Alger, Ed Morley
Ah, another day, another deep dive into the ever-evolving world of Python development! Today, let’s talk about something near and dear to every Pythonista’s heart – managing those crucial external packages. For years, pip has been our trusty companion, the workhorse that gets the job done. But the landscape is shifting, and a new contender has entered the arena, promising speed, efficiency, and a fresh approach: uv .
As a Python developer constantly striving for smoother workflows and faster iterations, the buzz around uv has definitely caught my attention. So, let’s roll up our sleeves and explore the benefits…
- Engineering
- Last Updated: October 01, 2020
- Damien Mathieu
Incidents are inevitable. Any platform, large or small will have them. While resiliency work will definitely be an important factor in reducing the number of incidents, hoping to remove all of them (and therefore reach 100% uptime) is not an achievable goal.
We should, however, learn as much as we can from incidents, so we can avoid repeating them.
In this post, we will look at one of those incidents, #2105 , see how it happened (spoiler: I messed up), and what we’re doing to avoid it from happening again (spoiler: I’m not fired).
- Engineering
- Last Updated: June 19, 2019
- Jason Skowronski
There are many ways of deploying your applications to Heroku—so many, in fact, that we would like to offer some advice on which to choose. Each strategy provides different benefits based on your current deployment process, team size, and app. Choosing an optimal strategy can lead to faster deployments, increased automation, and improved developer productivity.
The question is: How do you know which method is the "best" method for your team? In this post, we'll present six of the most common ways to deploy apps to Heroku and how they fit into your deployment strategy. These strategies are…
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