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secondrow

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motherduck.com 11mo ago

Why Semantic Layers Matter (and how to build one with DuckDB)

secondrow
152pts45
www.dbos.dev 1y ago

If durable execution was a simpler architectural decision

secondrow
3pts1
www.xorq.dev 1y ago

Build an open source FeatureHouse in 300 lines of code

secondrow
3pts1
substack.com 1y ago

Done Asking and Forgetting? (Chatty vs. Tabular AI Interaction)

secondrow
1pts0
www.dbos.dev 1y ago

Why Durable Python Execution Should Be Lightweight

secondrow
1pts0
www.dbos.dev 1y ago

Is AWS Lambda costing more to wait than to compute?

secondrow
2pts0
www.tmg.io 1y ago

Moving from AWS Lambda to DBOS: Embracing Serverless Development

secondrow
9pts0
www.dbos.dev 2y ago

Making Serverless Orchestration 25x Faster

secondrow
44pts31
www.dbos.dev 2y ago

Managing Customer Billing in <500 Lines of TypeScript

secondrow
3pts1
ottertune.com 4y ago

Dr. Andy Pavlo-2021 Databases, the Year in Review

secondrow
17pts0
www.enterprisedb.com 5y ago

Postgres – EnterpriseDB acquires 2nd Quadrant

secondrow
18pts0
swarm64.com 5y ago

Columnstore Indexing in PostgreSQL

secondrow
4pts0
swarm64.com 6y ago

Postgres parallelism can be like a box of chocolates

secondrow
4pts0
attestiv.com 6y ago

Deepfakes: The next big enterprise cyberthreat vector?

secondrow
1pts0
www.swarm64.com 7y ago

Creating elastic PostgreSQL clusters with parallel query processing

secondrow
2pts0
undo.io 7y ago

Using conditional and regex breakpoints in GDB

secondrow
1pts0
www.starburstdata.com 7y ago

Securing Presto with Apache Ranger

secondrow
5pts0
azure.microsoft.com 7y ago

Microsoft Adds Starburst Presto to Azure HDInsight

secondrow
1pts0
www.starburstdata.com 7y ago

Presto Cloud 203e – AWS Glue Data Catalog Integration

secondrow
1pts0
www.starburstdata.com 8y ago

Presto Summit July 16 at Facebook HQ – Distributed SQL

secondrow
4pts0
www.concurrencylabs.com 8y ago

Redshift vs. Starburst Presto-8.66B Record Query Performance Comparison

secondrow
10pts0
blog.conjur.net 9y ago

Scaling security: 4M secrets per minute

secondrow
5pts0
blog.conjur.net 9y ago

Re-Thinking Access Management: “We're Not in Kansas Anymore”

secondrow
1pts0
blog.conjur.net 9y ago

Securing EC2 Instances with Ansible and Conjur

secondrow
1pts0
blog.conjur.net 9y ago

Docker 1.12-Another Piece in the Container Security Puzzle

secondrow
4pts0

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

(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.

It depends what part of DBOS you're looking at. DBOS Transact is the framework (TypeScript) used to develop apps/workflows such as those in the benchamrk.

DBOS Cloud hosts and executes DBOS Transact apps/workflows a la (AWS Lambda+Step Functions). So it is apples:apples. Functionally, DBOS Cloud is like Lambda and Step Functions in one.

I've hired, worked with, and managed Dev Advocates at different open source software companies (working with Apache CouchDB, Apache Flink, and projects). They are really valuable and are an important part of awareness raising, user adoption, user retention, and technical recruiting.

A few thoughts: 1 - I think it's good to focus some of them on developer (user) acquisition and some on developer retention. The former are more evangelical - social, talks, demos, content that attracts new users. The latter focus on the user experience (UX feedback, docs, issue resolution, community support, how-to vids, etc.) to make sure new users become and remain active with the software. Both are critical to adoption and growing word of mouth.

2 - Dev Advocates can own the open source contributor experience! Recruiting, welcoming, recognizing new contributors is a great thing to see happen. It's an easy thing to overlook with companies placing so much emphasis on user acquisition. It's important for community goodwill building and expanding the network of external advocates.

3 - Make sure the executive team understands the breadth of Dev Advocate responsibilities. It can get tense if they only expect talks and blog posts.

That's my 2 cents...it's a big question!