Every blog post that took off on Hacker News, ranked by the votes of its best submission. 2,337 posts.
The etcd key-value store is a distributed system intended for use as a coordination primitive. Like Zookeeper and Consul , etcd stores a small volume of infrequently-updated state ( by default, up to 8 GB ) in a key-value map, and offers strict-serializable reads, writes and micro-transactions across the entire…
Today we're releasing pg_jsonschema, a Postgres extension for JSON validation.
LLMs excel at text generation but fail at precise document extraction due to nondeterminism. | Pulse AI
Read about why we built a resource-efficient alternative for Zookeeper from scratch in C++, what our next big step with it is, and how you can join the Keeper community.
This episode of the Meta Tech Podcast is all about Bento, Meta’s internal distribution of Jupyter Notebooks, an open-source web-based computing platform. Bento allows our engineers to mix code, tex…
Write better headlines with tactics from our analysis of 100 million headlines. Discover the best headline trigrams for Facebook, Twitter & more.
The technologies used to build or run their apps
Analyze the claims made by Snowflake regarding price/performance compared to Databricks and the counterarguments presented.
For hard drive prices, the race to zero is over: nobody won. As you’ll see, the hard drive pricing curve has flattened out.
The OpenPipe platform has migrated to Weights & Biases and CoreWeave. Browse migration details and the OpenPipe technical archive.
A key part of running a reliable database as a service is ensuring you have a good plan for disaster recovery. This post introduces WAL-G, the successor to WAL-E for Postgres, a complete rewrite of WAL-E that provides the same functionality plus 4x faster restores on recovery.
What's the problem? Here at Google, we have thousands of engineers working on our code base every day. In fact, as previously noted , 50%...
See how ClickHouse delivers faster query performance on 500 billion rows of data compared to ScyllaDB, leveraging an Intel NUC mini PC, advanced compression, and materialized views.
A few years ago, before the GDPR era, I was involved in a stealth marketing startup. We went out of
What the research is: The Ribbon filter is a new data structure that is more space-efficient than the popular Bloom filters that are widely used for optimizing data retrieval. One of the ways that …
Businesses seek the best price and performance to suit the storage needs of workloads ranging from multimedia serving, to data analytics and machine learning, to data backup/archiving, all of which drive demand for a variety of storage options. At Google, we aim to build a powerful cloud platform that can meet the…
We benchmark DuckDB on a 2012 MacBook Pro to decide: did we lose a decade chasing distributed architectures for data analytics?
Customers rely on us to help navigate the increasingly competitive cloud wars. This inspired the 2018 Cloud Report, a benchmark of AWS and GCP on performance, latency, CPU, network, I/O, and cost.
Machine learning for trading is a huge domain, but not all applications are practical in terms of making your money grow. Let's find out what really works!
Discover how PlanetScale handles one million queries per second (QPS) with horizontal sharding in MySQL
