RECENT ROTATIONS

Once you become an AI/ML practitioner, you quickly realize that the machine learning work is often the least challenging step in the pipeline. So what’s still really, really hard? Getting good data! In this post, we’ll explore …

Developing applications for global users usually requires an internationalization (i18n) process that translates contents or user messages into different languages. Given how manual these process tend to be, the more we can automate the …

In the age of microservices and containerized applications, software is less monolithic and more interdependent. How do we write tests which account for this new reality? One common strategy is to create mocks for services. In this post, …

If you want to build a robust machine learning model, the most important ingredient is data – but keep in mind that tuning your model will rely on devising a systematic way to store and query that data! In this post, we explore a …

Stars, forks, likes, upvotes, downloads. In a world where user metrics rule, why don’t more technical projects translate their docs to reach more global users?

Imagine you have a new engineer joining your team and you need to provide passwords for access to critical systems. Or you need to send a sensitive file to a client. Or you need to share encryption keys with a team member. What do you do?

Data privacy regulations are gaining traction domestically and internationally. Business and tech leaders would do well to take notice and re-consider their approach to privacy. Here’s a synopsis of the latest regulations taking …

There’s no doubt public cloud providers have transformed the technology landscape; in this post we retrace the evolution of the cloud to gather clues into where the industry is headed next.

The things we make are not user-friendly by accident; we have to make them that way. And that’s hard. For most of the time people have been making things, we’ve been mainly concerned with making them user-friendly for just us. …

Security is by definition an inconvenience. At the very least, it’s about making access to data as challenging as possible for the baddies, conveniently measured in computation time. But good security also requires us good folks to go …