Drop-in Prometheus / Loki / Tempo HTTP gateway for ClickHouse. Translate PromQL, LogQL, and TraceQL into optimized CH SQL — keep Grafana, swap the backend. - tsouza/cerberus Read more ›
On the Expressive Power of Programming Languages with Shriram Krishnamurthi | September 12, 2019 in St. Louis, Missouri Read more ›
Most developers understand the surface layer: user enters a password, system checks it, access is granted. That mental model breaks the moment you need to add MFA, support passkeys, implement device trust, or explain to a security auditor what telemetry your login page collects. Read more ›
For years, real-time analytics was treated as a niche requirement. We believed otherwise. So why is everyone talking about it now? Read more ›
Stocking your bar is an instance of the Densest k-Subhypergraph problem Read more ›
I’ve been working on in meshoptimizer recently; in the process I stumbled upon two optimizations that I did not end up using but I thought they might be fun to write about! The optimizations that actually made it in require some higher level background / explanations that will have to wait until another day :) Both optimizations discussed here touch upon two new (for me) features of AVX-512 that I haven’t had a chance to experiment with until now, and both apply to the same problem: how to de... Read more ›
Most of us never learned Event Sourcing as a way of thinking. We learned it as a collection of parts. An event store goes here. A read model goes there. When things turn asynchronous, you reach for a saga, and when reads and writes start pulling in different directions, you reach for CQRS. We assemble the pieces the way the tutorials drew them, and for a good while the system holds together. Read more ›
Tech leads are accountable for team outcomes they can influence, but cannot command. That is the job. Read more ›
In this article, we’ll build time-series machine learning models in Python using sktime and explore its core data structures for forecasting workflows. Read more ›
I engineered a closed-loop, mid-frequency covariance optimization system that dynamically anchors high-growth tech alpha against structural mega-cap defensive liquidity, sustaining institutional ef... Read more ›
In May 2026, the Bun team did something the software industry has been whispering about for years: they rewrote their entire runtime from Zig to Rust. Not over the course of a year with a dedicated team. In six days. Using AI agents. At nearly a million lines of code, Read more ›
There’s a new paper out called “PivCo-Huffman” (HTML version with annotations here) and it’s very interesting. Normal Huffman decoding (and, to a lesser extent, encoding) is inherently quite serial. We can get explicit parallelism by using multiple streams, which scales just fine to moderate numbers of streams – something like 4-8 is usually not an […] Read more ›
Indexes your whole repo locally and ranks the worst code, so AI coding agents fix it instead of adding slop. Offline, on your machine — pairs with any model, including local LLMs like Qwen. Read more ›
> A Rust CLI that augments the Node you already have — TypeScript that just runs, a faster script runner, and a fast bin runner. It augments Node.js instead of trying to replace it. Nub is an all-in-one toolkit powered by Node.js that **modernizes** the developer experience of the Node.js ecosystem. Use it instead of `node`, `npm run`, and `npx` (or the equivalents in your preferred package manager). ```console $ npm install -g --ignore-scripts=false @nubjs/nub $ nub index.ts ... Read more ›
jcreed blog > One More Type in the Tiny Type Theory Read more ›
YaFF is a high-performance C++ serialization library that provides a zero-copy wire format for the Protobuf ecosystem. - yandex/yaff Read more ›
Databricks’ new real-time data warehouse delivers millisecond responsiveness directly on your lakehouse, without separate systems or data movement. Read more ›
Forecastion ProductHow it worksWorkspaces Log inStart forecasting Built for finance & analytics teams # Build powerful forecasts in seconds. Turn raw data into forecasts, scenarios, and shareable models — fast enough for ad hoc analysis, powerful enough for real work. Build your forecast — free Explore the demo Paste data · Compare methods · Export forecasts app.forecastion.com / forecast-lab End of forecast 611 ± 115 (90% CI) Cumulative 35.7K h = 60 periods Forecast avg 596 ... Read more ›
A few years ago I was the data engineer on a mobile game soft launch when Firebase Analytics quietly started dropping events past its 1M/day cap. We didn't catch it for days. That experience pushed me to build Rawbbit — an open-source, Apache 2.0, self-hosted analytics pipeline that lands raw events as Parquet in your own object storage. This is the story of why hosted analytics fails at scale, why I chose NATS + Parquet + BigQuery external tables, and what I deliberately left out. Read more ›