We cut our Mongo DB costs by 90% by moving to Hetzner
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.
The latest blog posts to take off on Hacker News. 2,337 posts.
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.
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.
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
A query to find out if Postgres is read heavy or write heavy and tips for optimizing Postgres for both read and write workloads.
After 13 years, the data is clear—the bathtub curve does not apply to hard drives. And, more importantly, hard drives are failing less and lasting longer.
Exploring what's interesting about UUIDv7 support using a demo crab store.
Postgres 18 brings a significant improvement to read performance via async I/O and I/O worker threads. Here we compare its performance to Postgres 17.
How we solved request logging at scale by moving from MariaDB to ClickHouse, Kafka, and Vector after our deprecated database engine couldn't keep up with billions of monthly requests.
Data Ownership as a conversation changes when data resides primarily with people-governed institutions rather than corporations.
We benchmarked 11 data formats, including markdown tables, JSON, CSV, YAML, XML, and more, to see which LLMs understand best. We found surprising accuracy and token cost trade-offs.
Same Litestream goodness but better, faster, stronger
This read goes behind the scenes of how TigerBeetle came to be, the incredibly novel software they’ve built, and all of the wacky, wonderful things that make them so special.
PostgreSQL 18 features that change how application developers write and ship code.
The future of AI is hybrid, utilizing the respective strengths of cloud and client while harnessing every Windows device to achieve more. At Microsoft, we are reimagining what’s possible by bringing powerful AI compute directly to Windows devices,
The [PostgreSQL Global Development Group](https://www.postgresql.org) today announced the release of [PostgreSQL 18](https://www.postgresql.org/docs/18/release-18.html), the latest version of the world's most advanced …
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale…
PlanetScale for Postgres is now generally available.
This month we’ve ramped up the infrastructure behind the download server, and downloads should now be available earlier and faster. There’s also a small technical change in that requests for a “…latest” file will now be answered with a HTTP redirect to the specific latest version (see previous blog post).
PostgreSQL 18 adds native support for UUIDv7. A timestamp-based UUID variant that plays nicely with btree indexes. Here's what that means for you.
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and…
Intel's latest processor generations are pushing the number of cores in a server to unprecedented levels. For analytical databases like ClickHouse, ultra-high core counts represent a huge opportunity and a complex challenge.
Discover why we built Vectroid, a serverless vector database that delivers exceptional accuracy and low latency without compromising on cost. Learn about our approach to solving the traditional tradeoffs between speed, accuracy, and cost in vector search.