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How much of it is written by AI?

Looks neat, need to give it a spin

Looks very slop, but it’s a good idea. The main difficulty is that no big name is hosting a witness.

Interesting. Does it run from notebooks? It has been the biggest challenge so far.

In fact, many data teams are guilty of overlooking critical questions like “Are we actually monitoring the data?” after deploying multiple pipelines to production. They might celebrate the success of the first pipeline and feel confident about deploying more. Still, they need to consider the health and robustness of their ETL pipeline for long-term production use. This lack of foresight can lead to significant problems down the line and undermine trust in the data sets produced by the pipeline.

Could you share some data from your experiment?

How to expose an Azure Storage Account through a top-level domain with the Let’s Encrypt SSL certificate you can get for free, almost all via Terraform.

I think you should have couple of chats with different department leaders about what they think and capture systematized feedback somewhere. This will show value prop exactly for your org, exactly for the values your company operates with.

Typical problems Dependabot solves range from updating direct upstream dependencies when they get a patch release to propagating the security vulnerabilities your upstream projects have already fixed. If you have minimal time and don’t have a whole team of people to manage dependencies, Dependabot is a solution for you.

Driving unit test coverage is essential but very dull. We need to make it as fun as possible. And for the “shippable” OSS products, it’s vital. In the SaaS world, you roll out an emergency release for all users. Once a user downloads something and runs it in their environment — it’s done. You cannot effortlessly swap the binary artifact. And if it’s broken — it’s your fault. The best way to prevent this is decent unit-testing coverage. This time we’ll cover something boring and automatable — API calls to a predefined service. The most time-consuming activity is writing fixtures. They represent the state of the world for the system under test. Different systems need different complexity of fixtures, especially for multi-threaded applications.

Did you try using some of the cheap cloud storage, like AWS S3?

Do you ever wonder if you should include a third-party library in your code or not? Sometimes it’s worth it, but mostly it’s not. Here’s a quick way to tell: …

Do you ever wonder if you should include a third-party library in your code or not? Sometimes it’s worth it, but mostly it’s not. Here’s a quick way to tell: If the library is doing something you don’t comprehend, or if it’s doing something you could do yourself with little effort, then don’t use it. The only exception to this rule is if the library is doing something that would be very difficult or time-consuming to do yourself. In that case, it might be worth using the library even if you don’t fully understand it.

htmltable enables structured data extraction from HTML tables and URLs and requires almost no external dependencies.

You’ve likely heard and read dozens of stories about generics in Go about ordinary slices and maps but haven’t yet thought about a fun way to apply this feature. Let’s implement the peer of pandas.read_html, which maps HTML tables into slices of structs! If it’s achievable even with Rust, why shouldn’t it be with Go?! This essay will show you a thrilling mix of reflection and generics to reach concise external APIs for your libraries.

This is cool, but looks like https://github.com/dagster-io/dagster

The issue with less popular data pipeline projects is that they’re less stable in production

There’s no such a thing as a bad code in the company that makes money

In the end, you’ll end up using approx 20 commands. Maybe reading a book is worth it. For me it was. I could recommend two:

https://www.amazon.com/Power-Tools-Third-Shelley-Powers/dp/0... (old but gold) https://www.amazon.com/UNIX-Linux-System-Administration-Hand...

Bilgorod is actually Ukrainian territory. They are just fighting back what commies took a while ago.

I really wonder how this incident will affect their long term customer growth…

I’m always more thrilled on physical paper book falling on my face, when I fall asleep, just to remind me to put it on the night table and turn off the lights. Like “Fluent Python” or “TCP/IP Guide”.

Author here: looking forward to your feedback!

You’ve likely heard and read dozens of stories about generics in Go about ordinary slices and maps but haven’t yet thought about a fun way to apply this feature. Let’s implement the peer of pandas.read_html, which maps HTML tables into slices of structs! If it’s achievable even with Rust, why shouldn’t it be with Go?! This essay will show you a thrilling mix of reflection and generics to reach concise external APIs for your libraries.