Building a Durable Execution Engine with SQLite
Lately, there has been a lot of excitement around Durable Execution (DE) engines. The basic idea of DE is to take (potentially long-running) multi-step workflows, such as processing a purchase order …
The latest blog posts to take off on Hacker News. 4,224 posts.
Lately, there has been a lot of excitement around Durable Execution (DE) engines. The basic idea of DE is to take (potentially long-running) multi-step workflows, such as processing a purchase order …
Compare AI model performance on AA-Omniscience v1.1: Knowledge and Hallucination Benchmark. A benchmark measuring factual recall and hallucination across various economically relevant domains.
You don't need Elasticsearch for most projects. I built a simple search engine from scratch that tokenizes everything, stores it in your existing database, and scores results by relevance. Dead simple to understand and maintain.
How would you allocate money to a set of independent assets with to minimize volatility if some assets are more volatile than others?
See how we diagnosed and confirmed an AWS Aurora RDS race condition impacting failovers.
Read the Q3 2025 Drive Stats report to see the latest annualized failure rates, and an analysis of how we define failure in the first place.
Stop deploying broken SQL queries. RegreSQL provides regression testing for PostgreSQL queries with performance baselines and automated warnings.
We moved MongoDB Atlas off AWS and onto self-hosted Hetzner boxes — 90% cost cut, no performance loss. Here's the setup, the Ansible, and what broke.
An in-depth guide to listening to Postgres database changes through the WAL. Covers logical replication, publications, replication slots, and an Elixir implementation.
Rene Schallner (@renerocksai): software engineer turned AI researcher and engineer, in Vienna.
A few years back I did a bit of dance music related data visualization over at Lazily Evaluated. My favourite was an analysis of clubs and their lineups using Resident Advisor / RA data, I called it Clubster Analysis. I always wanted to dig into the technical aspects of gathering the data, analyzing it and building…
Datalog primer and a neat data structure
Jonathan Arns's personal blog
The real limitations of pgvector in production: index choice between IVFFlat and HNSW, why real-time search is hard, pre- vs post-filtering pain, how performance degrades at scale, and when a dedicated vector database is the better call.
Durable execution with just postgres.
SQLite is a powerful database engine, but due to its design, it has limitations that should not be overlooked.
In this article, we introduce the expand and contract pattern to help migrate data and clients to a new schema.
The Library Innovation Lab is growing knowledge and community by bringing library principles to technological frontiers.
Introducing the $5 PlanetScale plan.
Fluid Storage reimagines block storage like EBS with zero-copy forks, true elasticity, and sync replication. Built for the age of agents.
Why you should just use Postgres instead of Kafka for small-scale message queuing and pub-sub patterns. Benchmarks and practical tests included.
6.2k words, 29 minutes reading time
What happens when you give a distributed SQL engine a trillion-row dataset? GizmoEdge crushed the Coiled challenge with a 1,000-worker cluster on Azure.
Launched in June 2024, JupyterGIS was introduced as a collaborative, web-based GIS environment built on the JupyterLab framework. Its objective is to
/dev/null is web scale
Since this article will probably have more reach than my usual rambling, It'll be written in English (but let's not make a habit of it).