Tigris Blog

Conqueror the complexity of Python environments effortlessly. Discover how Development Containers offer a consistent, reliable setup for any Python project, eliminating dependency frustrations and boosting developer productivity.

AI tools can make coding easier, but they can also introduce subtle errors that can turn out really bad if you're not careful.

Tigris delivers S3-compatible, globally distributed object storage, enabling seamless multi-cloud workflows without tool changes. Built on S3’s API standard, it simplifies scaling, avoids vendor lock-in, and supports dynamic global data placement.

Tigris puts your objects all over the world, but how do we do it? Today we'll break down the strategies to Tigris' global replication and how it combines fundamental parts of distributed systems to make it happen.

Caught the talk at SCaLE but want to learn more? Here's a list of resources that were mentioned during the talk.

Your AI workflows rely on models that other people post on the Internet. How can you be sure that they'll stay up? Today Xe covers the history of the infamous left-pad incident of 2016 and how it could happen again with AI.

DeepSeek R1 is a frontier-grade reasoning model that you can run on your own hardware. In this article, Xe digs through the papers and slices past the hype to explain what DeepSeek R1 really gives users and how the model is revolutionary for what it is.

AI models, comprised mainly of floating-point numbers, function by processing inputs through various components like tokenizers and embedding models. They range in size from gigabytes to terabytes, with larger parameter counts enhancing performance and nuance representation. How do they get so large though?

There has been a lot of enthusiasm about the recent announcement by AWS about support for Conditional Writes in S3. We will dive into why this is a big deal and what it means for developers. We will also explore CAS operations and how they relate to S3 Conditional Writes feature. Finally, we will discuss whether developers can now avoid client-side consensus mechanisms completely when using S3.