Agent skills automate drudgery so you don't have to do it | Tigris Object Storage Discover Tigris' Agent Skills Library - reusable skills that help AI agents automate image optimization, conventional commits, and Tigris SDK operations.

Get started with the Tigris Skills Library: www.tigrisdata.com/blog/skill-l...

We open-sourced our Agent Skills Library — reusable skills that teach AI agents how to use the Tigris SDK, convert images to webp, write conventional commits, and more.

Install them all: npx skills add github.com/tigrisdata/s...

Read more about it 👇

Coming soon to an Anubis near you: object storage backend support: github.com/TecharoHQ/anubis/pull/1089

This lets you use something like @tigrisdata.com to store Anubis data globally!

How LogSeam Searches 500 Million Logs per second | Tigris Object Storage LogSeam transforms log management with Tigris, achieving massive cost savings and performance improvements in their security data lake architecture.

Most people: "Object storage is slow."
LogSeam: 500 million log searches/sec - all on @tigrisdata.com
Storage doesn’t have to be boring: www.tigrisdata.com/blog/case-st...

Did you miss us at DevOpsDays Halifax last week? Xe had a talk on globally distributed systems design and we have a copy of it on our blog! Here's a sneak peek:

Learn how to generate globally distributed videos with Google's text-to-video model Veo3 and Tigris.

Read the full article here:
www.tigrisdata.com/blog/video-g...

LogSeam Powerful, intuitive log management and analysis tools that help teams identify issues faster, optimize performance, and maintain system reliability.

LogSeam runs 500M+ logs/sec across commodity compute.
On Tigris, they ripped through TBs of data in seconds - globally replicated, cost-efficient, and without friction.

This is why we built Tigris: storage that doesn’t hold builders back. 🚀

www.logseam.com/blog/why-a-g...

Small Objects, Big Gains: Benchmarking Tigris Against AWS S3 and Cloudflare R2
L: https://www.tigrisdata.com/blog/benchmark-small-objects/
C: https://news.ycombinator.com/item?id=44953971
posted on 2025.08.19 at 13:25:24 (c=0, p=4)

gpt-oss is not for developers. It’s for agents. | Tigris Object Storage Discover why OpenAI's gpt-oss model family is ideal for building reliable and safe AI agents, not just for developers.

Today Xe digs into the model card and tells you what you need to know about when and where to use this powerful new tool.

Read more on the blog: www.tigrisdata.com/blog/gpt-oss/

Recently OpenAI released the gpt-oss model family. It's not a great coding model, it's not the best for generic question and answer, but it's incredible for building agents that keep on task.

I spent 20 years working with different databases including MySQL, Cassandra, Mongo, etc, and building my own, and never have I experienced the level of operational excellence that I see with FDB.

You can easily store petabytes of data in a single FDB cluster. Sharding involves data movement, so obviously it is going to reuse the IO capacity available on the server, but FDB has a throttling mechanism built-in to minimize the impact on user traffic.

Generative Software Development: From Coding to Conversing | Tigris Object Storage How AI is transforming software development from autocomplete to autonomous agents, and what this means for the future of coding.

Read the story: www.tigrisdata.com/blog/generat...

What happens when your CEO asks an AI to make changes to a production-grade distributed file system like tigrisfs?
That’s exactly what happened here at Tigris.

I just updated deep infra code by telling an AI what to do.
No editor. No keystrokes. Just a prompt → PR.

This is how coding is turning into conversing, and why I’m never going back:
www.tigrisdata.com/blog/generat...

Our good friends at Tigris return to support our efforts. This time they are sponsoring a very special thing for Goatmire that I look forward to sharing soon enough.

We use their object storage for NervesCloud. Check them out for geo-distributed object storage.
www.tigrisdata.com

I Tested Qwen Image's Text Rendering Claims. Here's What I Found. | Tigris Object Storage Alibaba's new open-weights Qwen Image model shows promise in text rendering but struggles with making the text appear natural. Sometimes it just looks like it was photoshopped in because that's how…

Alibaba released Qwen Image earlier this week with some big claims about performance, but how does it act in the real world? Our local image generation expert did a deep dive into the paper and tried it out for themselves.

Read the details on the blog: www.tigrisdata.com/blog/qwen-im...

Getting started with WarpStream on Tigris By combining WarpStream with Tigris, you get a bottomless, durable, and globally aware message queue. Your data is stored efficiently, close to where it’s consumed, without incurring hidden transfer f...

Warpstream gives you diskless Kafka.
Tigris gives you global durability, zero cloud lock-in.
No brokers. No infra. Just clean streaming built on S3-compatible storage.

We’re excited to make this easy to use out of the box:
www.warpstream.com/blog/getting...

@warpstream.com @tigrisdata.com

Getting started with WarpStream on Tigris By combining WarpStream with Tigris, you get a bottomless, durable, and globally aware message queue. Your data is stored efficiently, close to where it’s consumed, without incurring hidden transfer f...

Want global durability and zero cloud lock-in for your Kafka-compatible workloads? This guide walks through deploying WarpStream on Tigris, using it as a globally distributed S3-compatible object store.

www.warpstream.com/blog/getting...

Using Hugging Face datasets with Tigris | Tigris Object Storage Let your datasets roam freely between the multicloud with Tigris! Today you'll learn how to import your datasets into Tigris in a snap.

Did you know you can use @hf.co Datasets with @tigrisdata.com? The process is surprisingly straightforward thanks to Hugging Face datasets' built-in support for S3-compatible storage: www.tigrisdata.com/blog/hugging...

FoundationDB: A Distributed Database That Can't Be Killed Even when dismembered by multiple failures, FoundationDB remains undaunted, relentlessly restoring itself to keep data flowing.

A distributed database that can’t be killed?
At the Linux Foundation Open Source Summit, one of my team mates shared how we run FoundationDB globally, and keep it rock solid across dozens of regions.
The New Stack captured it well 👇

thenewstack.io/foundationdb...

The hard part for all the HTTP Live Streaming video was separating all the lies from facts I was told by LLMs to get ffmpeg encoding multiple streams.

The easy part was distributing the chunks globally with @tigrisdata.com's global S3 object store so I didn't have to deal with a CDN proxy.

Phlex on Rails: Week Six Update Video quality, a Rails 8 upgrade, and HTTP Live Streaming

I nerd sniped myself this week with HLS video so that it would play really well for people around the world 😬🤓.

Had a revelation about how @phlex.fun and Turbo could work really well together if you scroll towards the bottom of the update.

Can't wait to get back into video production! 👨🏻🤳

If you try it out, I would love your feedback

also tigerdata sounds too much like @tigrisdata.com. could be super confusing for people who want object storage to see high performance olap databases

They didn't let me ship this on main :(

Most object stores choke on small object performance.
We benchmarked 1KB reads:
Tigris: 7.9 ms
S3: 42.0 ms
R2: 681.0 ms
That’s 5.3x faster than S3 and 86.6x faster than R2.
Full details + methodology:
🔗 www.tigrisdata.com/blog/benchma...
No fluff. Just data.

Behind the Fake CAPTCHA: How We Fought Back Against Platform Abuse | Tigris Object Storage We detected fake CAPTCHAs on our platform. Here's what we did to remove them and stay a step ahead of attackers.

Fake CAPTCHAs aren’t just annoying - they’re dangerous.
We uncovered how attackers use them to sneak malware past scanners.
Here’s what we found: www.tigrisdata.com/blog/fake-ca...