damn aa trees are my new defacto balanced tree This is the shortest and easiest to understand of any balanced tree I've implemented. Balanced insert in under 70 lines of code cs.umd.edu/class/fall2019…

this is all you need to know about sf

Working on a full revamp of kevinmingtarja.com with a little help from chatgpt 🙌

A brief history of storage engines, extracted from my presentation at Scylla summit 2013... Let's start with this great quote: “In order to make good use of the computer resources, one must organize files intelligently, making the retrieval process efficient.” The Ubiquitous

Feels good when an OSS contributor researches the implementation options thoughtfully when approaching a feature. Thanks Kevin! github.com/questdb/questd… Approximate percentiles look like a nice starting point considering that we were already going to use HdrHistogram in QuestDB.

Wish me luck! Today Hypermode.com exits stealth! Why would I leave a great gig as @Vercel’s COO to be @HypermodeAI’s CEO? Because developers need AI with: ⬗ Dynamic Inferencing ⬙ Graceful Failure ⬖ Purposeful Integration ⬘ Guardrails

Mitchell Hashimoto Rogelio R on-call engineers know this style of work. thrown into a unknown ruby codebase at 2:30am with no idea what code does or what Ruby is, and realizing the problem is a loop that hits MySQL 5000 times a second. not, uh, speaking from experience

We'll be open-sourcing @HypermodeAI's "instant vector search" template later this week. In this demo, we run a vector search on a 10k+ item catalog every time the user pauses. p99 response times under 200ms.

Learn how to integrate real-time vector search into your application with @HypermodeAI. No need for extensive AI or machine learning expertise—Hypermode makes it quick and simple for anyone to get started. Check out this tutorial to learn more 🤩 youtube.com/watch?v=Me4YjN…

Today is the day! We are 📷 excited to announce Modus—an open source, serverless framework that redefines backend development for AI-ready apps. Built with WebAssembly, Modus combines security, speed, and ease of use for developers!  👇🧵

Modern AI teams need hyperscalers & neoclouds, but legacy tools like SLURM can't keep up. Abridge moved from SLURM to multi-cloud AI infra with SkyPilot. ✅ 10x faster dev cycles ✅ SLURM-like convenience, K8s' reliability ✅ Scale on any infra blog.skypilot.co/abridge/

Shopify now runs all AI training on SkyPilot. • H200s on Nebius, L4s on Google Cloud - multi-cloud AI enabled by SkyPilot • One unified interface for engineers • Cost tracking, Inifiniband support, fair scheduling Excited to support Shopify's journey to build the future

Running Training and Inference at scale gets tricky in a hurry. Heterogeneous workloads: large-scale HSTU training, tiny L4 models and the development - all need to be supported seamlessly. Here is a new blogpost on how we approach it at Shopify: shopify.engineering/skypilot