DBOS @DBOS_Inc
From the creators of Postgres & Apache Spark -- Build reliable backends effortlessly dbos.dev Cambridge, MA Joined January 2024-
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DBOS is a library-based engine designed for simplicity & efficiency. @qianl_cs will join us at @P99CONF to discuss its architectural trade-offs, challenges in failure recovery, and key optimizations for scalability and maintainability. ow.ly/KOWl50WS35v #ScyllaDB #P99CONF
Just had a great call with a CTO who said he loved DBOS because it “isn’t opinionated.” His team needed the reliability that workflows provide. They had tried other workflow solutions, but couldn’t fit them into their application because they required the organization to…
If you can write a function, you can write a crash-proof workflow. docs.dbos.dev
Mike is the true legend. He is still attending our @DBOS_Inc eng meetings and thinking about ways to improve software reliability with databases. He is also learning and talking about LLMs and all the new AI trends. Never stop learning!
Mike is the true legend. He is still attending our @DBOS_Inc eng meetings and thinking about ways to improve software reliability with databases. He is also learning and talking about LLMs and all the new AI trends. Never stop learning!
If you use Postgres, I highly recommend checking out DBOS for managing background tasks and long running workflows
If you use Postgres, I highly recommend checking out DBOS for managing background tasks and long running workflows
This isn’t another AI webinar. It’s the blueprint for workflows that don’t quit. Join DBOS & Bauplan to learn how to build autonomous and resilient AI workflows. oglink.xyz/aq1Jlxbbvj
As @jedberg put it on Last Week in AWS with @QuinnyPig, moving data reliably in agentic workloads for AI training and inference is tough. DBOS makes it simple.
Big fan of the SQLite integration: it makes unit testing lightweight. No more spinning up a Postgres server just to run tests. That said, in practice, I find Postgres actually runs faster than SQLite on many workloads. So you still want to use Postgres for production deployment.
Big fan of the SQLite integration: it makes unit testing lightweight. No more spinning up a Postgres server just to run tests. That said, in practice, I find Postgres actually runs faster than SQLite on many workloads. So you still want to use Postgres for production deployment.
Nothing makes me happier than seeing our customers win. If you spend time on GitHub, you've probably spotted the @dosu_ai bot all over, including in some of the most popular AI frameworks. Now it's even more reliable: their ingestion and RAG pipelines run on @DBOS_Inc.
Durable execution and queuing with @DBOS_Inc have made a huge difference at Dosu: -Migrated from Celery -Orchestration as code improves Dosu's reasoning -Scaled to roughly 20,000 workflows per hour +More Our recap of their recent Dosu case study is linked in reply below 👇
What good is an AI agent if it forgets everything after a crash? With durable execution, agents resume exactly where they left off. The result: ✅ Resilient workflows ✅ Reliable automation ✅ Real-world readiness ✅ No lost progress
Postgres isn’t just a database. It’s the best workflow engine and here’s why 👇🏽
Postgres isn’t just a database. It’s the best workflow engine and here’s why 👇🏽
Took me almost an hour to record a 30-second intro for #p99conf Carefully tuned DSLR, mic, lighting, laptop, chair, background... had to align all the stars. I hope the final cut looks good!
Excited for today’s user group meetup! If you haven’t signed up yet, it's not too late! 🗓️ Thurs, August 28, 2025 at 11AM PDT
Excited for today’s user group meetup! If you haven’t signed up yet, it's not too late! 🗓️ Thurs, August 28, 2025 at 11AM PDT
We just flipped the @DBOS_Inc Java repo public ahead of tomorrow's monthly user meetup. Now we have "Star Wars" across all four languages: TypeScript, Python, Go, and Java. Help us settle the galaxy balance by dropping your stars here 👇 github.com/dbos-inc
How do you agentically generate documentation for tens of thousands of open-source projects, including LangChain, Airflow, Prisma, and Zod? It’s been a genuine pleasure working with @devstein64 and the team at @dosu_ai . They’re building AI agents that turn your codebase into a…
Attention Reddit users, @DBOS_Inc now has its own subreddit! Come hang out, share ideas, ask questions, and help us shape the future of durable workflows and queues. Fun fact: Our CEO (aka jedberg) was the first employee at Reddit, and now he's our mod. Full circle moment.
External orchestrators force you to rebuild your app just to add one durable workflow. An embedded library lets you add durability where you need it, without tearing your architecture apart.
External orchestrators force you to rebuild your app just to add one durable workflow. An embedded library lets you add durability where you need it, without tearing your architecture apart.
Infra? Abstracted. Code? Barely written. The future is vibe coding with Postgres.
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