KraftyOne

16 ms·

181.
by KraftyOne 3y ago
Co-founder here. Thanks for the questions! A couple advantages DBOS has: 1. It's a serverless platform. It manages application deployments, providing a simpler experience than trying to bolt a durable execution framework onto an app d
182.
by KraftyOne 3y ago
Our goal in these design decisions is to make DBOS look familiar to developers by supporting one of the most popular stacks right now, building an application with TypeScript and SQL on top of Postgres. Under the hood of our cloud platform
183.
by KraftyOne 3y ago
Thanks for the good question! Our free tier offers fixed resources per application (under the hood, a Firecracker microVM with 512 MB of RAM and 1 vCPU) that scale to zero when not in use. For paid users, we'll offer autoscaling per ap
184.
Show HN: DBOS – Transactional Serverless for TypeScript Apps(github.com)
43 points by KraftyOne 3y ago|17 comments
185.
by KraftyOne 3y ago
Durable execution is good for atomicity, but this approach also gives you isolation. If you're doing updates on both Postgres and Mongo and you want to guarantee both updates happen, Temporal can do that. But if you want isolation, f
186.
by KraftyOne 3y ago
While we haven't tested this, I suspect the main scaling bottleneck in practice is the primary database, as every Epoxy transaction goes through it. If you wanted to run Epoxy at large scale, you'd need a primary that supports ve
187.
by KraftyOne 3y ago
Yeah, our implementation uses Postgres transaction IDs across data stores.
188.
How to get transactions between almost any data stores(petereliaskraft.net)
201 points by KraftyOne 3y ago|92 comments
189.
Your Infrastructure Should Know More About Your Database(dbos-project.github.io)
6 points by KraftyOne 4y ago|0 comments
190.
DBOS: A database-oriented operating system(dbos-project.github.io)
166 points by KraftyOne 4y ago|110 comments
191.
by KraftyOne 4y ago
That's a great point, and I definitely agree that supporting disaggregated architectures is important and a potential next step for the project. It raises new challenges--systems like Snowflake need to know a lot about how data is rep
192.
Query serving systems: An emerging category of data systems(petereliaskraft.net)
53 points by KraftyOne 4y ago|14 comments
193.
by KraftyOne 6y ago
You probably already know this, but the line is paraphrased from The Hitchhiker's Guide to the Galaxy, which is an amazing book if you like that style of humor.
194.
Willump: Statistical Optimizations for Fast ML Feature Computation(dawn.cs.stanford.edu)
3 points by KraftyOne 7y ago|0 comments