Just launched the official @supabase integration with DBOS. Power your workflows with Supabase Postgres: - Add workflows in just a few lines of code - No new dependencies: just your app and Supabase - See your workflow data from the Supabase dashboard Here's a quick start guide

Ever wondered how AI teams avoid burning cash every time they run an image model?

I used to be skeptical about workflow patching, mostly because of all the horror stories I heard from other developers. But the way DBOS implements it is nice: a patch is just another workflow step. That tiny shift makes the patching interface more intuitive than I expected.

Goblins moved from external workflow services to DBOS for faster execution, a unified stack, and full control over debugging and uptime. @alpkvl said "when your database is essentially one millisecond away from your servers, every workflow is just blazing fast.”

Just released a new feature–workflow patching! Patching lets you safely upgrade workflow code even when you have active workflows. Essentially, you insert a “patch” into your workflow that instructs new workflows to run your new updated code while old workflows safely resume

Today, we're making Scouts available to everyone! Earlier this year, Scouts was born out of a simple observation — that so many of life's background (or even foreground!) tasks have a recurring flavor, e.g. house hunting, early stages of travel planning, sourcing leads,

Catch the full chat below. https://t.co/FDhtCVCSMU

At Stripe, @alpkvl shipped on an internal Workflow Engine built on Temporal. When building Goblins, Temporal was too operationally heavy to run in-house, so he tried Inngest, then Hatchet, eventually moving his workflows to DBOS instead. In this chat, he talks through

Want to hear database legends Mike Stonebraker and Andy Pavlo duke it out over AI, durable workflows, and the future of Postgres? Come to the 2025 Database Year in Review tomorrow! Sign up link: 👇

Goblins moved from external workflow services to DBOS for faster execution, a unified stack, and full control over debugging and uptime. @alpkvl said "when your database is essentially one millisecond away from your servers, every workflow is just blazing fast.”

Durable execution frameworks are becoming an important infra pattern for agents. Traditional services run in milliseconds. If they crash, you retry. But agents run longer, retries burn tokens, and crash recovery actually matters. @DBOS_Inc is a great example of this emerging

Durable workflows sound abstract until you see how they’re used in the real world. In this video, @alpkvl from Goblins explains why reliability is the backbone of AI powered classrooms, from detecting misconduct to generating real-time insights to grading student work.

Do you like databases? Do you want to hear two database professors rant about them? Do you need one of those professors to have a Turing Award for databases? If yes, then join Mike Stonebraker and I next Wed Dec 10 @ 1:00pm EST for database hot takes: https://t.co/JXGHtesZzC

I'm so happy to see our users building cool systems on top of DBOS 😎

The biggest challenge with building AI agents is that agents do weird things. They call the wrong tool, or the right tool with the wrong input, or generate a bizarre text output. Best case scenario they crash and fail, worst case they take a wildly inappropriate action. So what

A customer turned DBOS’s Head of Customer Success into a math-teaching avatar. In @alpkvl's Goblins demo, every math lesson is powered by DBOS workflows.

In the upcoming webinar, we’re hosting a conversation with two leaders in the database world, Mike Stonebraker and Andy Pavlo. They will discuss the trends most likely to influence the software you build and the architectures you choose. 🧵 🗓️ Weds, Dec 10, 2025 | 1 PM EST

Here is a nice summary of our talk:

TBT (long overdue post). I really enjoyed #QConSF this year, and it has now become one of my favorite conferences. Thanks to the organizers for putting together a program with so many deep, practical systems talks, and to everyone who stopped by to discuss reliability and

Here's how💡 https://t.co/eFyHiU41Wb

For Ontologize, reliably spinning up enterprise software environments at scale required durability and simplicity. DBOS let them scale their deployment pipeline with Python and zero rearchitecting.