Recent submissions

Comment · 4 months ago
Hi x3ro - dbos marketing person here. Sorry about the contact form, which was broken for a few days last week following changes we made to the cookie management on the website.
Comment · 1 year ago
Comment · 1 year ago
I’m familiar with Xorq. One of features of the Xorq library that I find interesting is that it catalogs data processing (compute) expressions as it compiles, along with call lineage. Makes reuse easier for SQL and non-SQL processing.
Comment · 1 year ago
This is why I liked BusinessObjects
Comment · 1 year ago
lol - don't overlook DBOS Cloud, a serverless compute platform, which also originated from the DBOS R&D project(s) at MIT/Stanford.
Comment · 1 year ago
Comment · 1 year ago
Making software durable and resilient to failures can be a big architectural investment. But what if it wasn't? Would we make everything durable by default?
Comment · 1 year ago
Xorq is a Python lib https://github.com/xorq-labs/xorq that provides a declarative syntax for defining portable, composite compute stacks for different AI/ML use cases.

In this example, Xorq is used to compose an open source FeatureHouse that runs on DuckLake and interfaces via Apache Arrow Flight.

The post explains how: - The FeatureHouse is composed with Xorq - Feature leakage is avoided - The FeatureHouse can be ported to any underlying query engine (e.g., Iceberg) - Observability and lineage are handled - Feast can be integrated with it

Comment · 1 year ago
Comment · 1 year ago
(from DBOS) Great question. For better or worse, it seems like discussions about workflows and durable execution often intertwine. Usually ending up in what types of jobs or workflows require durable exec.

But really, any system that runs the risk of failing or committing an error should have something in place to observe it, undo it, resume it. Your point about "big enough scale" is true - you can write your own code to handle that, and manually troubleshoot and repair corrupted data up to a certain point. But that takes time.

By making durable execution more lightweight/seamless (a la DBOS or Restate), the use of durable execution libs become just good programming practice for any application where cost of failure is a concern.

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