Hacker News with Generative AI: Scalability

Scaling to users requires Synapse Pro (element.io)
Since launching Synapse Pro to support nation-scale Matrix deployments, we’ve had a lot of questions asking how it differs from vanilla “community” AGPL Synapse.
PostgreSQL Meets ScyllaDB's Lightning Speed and Monstrous Scalability (medium.com)
PostgreSQL’s inability to handle our growing write-intensive workloads and real-time demands made it clear that a change was necessary.
400TB Single Cluster: OceanBase Powers Kwai`s Core Business (oceanbase.github.io)
Kwai is a short video app boasting more than 10 million daily active users. How does it efficiently process highly concurrent user requests? Kwai once deployed multiple MySQL clusters in the backend to support high traffic with large data storage and satisfactory performance. What are the weak points of this conventional sharding solution? What pushed Kwai to select distributed databases and eventually deploy OceanBase Database?
Managing Large-Scale Redis Clusters on K8s – Kuaishou's Approach (kubeblocks.io)
As a popular short-form video application, Kuaishou relies heavily on Redis to deliver low-latency responses to its users.
Docker Compose Isn't Enough (tealok.tech)
Docker Compose creates problems as you scale a single server to many applications. We should learn from it and build something better.
Virtual Texturing (playerunknownproductions.net)
Building a game engine that supports earth-sized environments requires us to pay attention to the scalability of our engine. For example, the amount of data existing on the planet cannot be loaded into RAM or VRAM. Every system we design needs to take into account the assumption that data is not loaded and needs to be streamed in or in some cases even needs to be generated first.
Why software only moves forward (swizec.com)
At scale there are no rollbacks and no cut-overs. Your software only moves forward.
How do you deploy in 10 seconds? (bearblog.dev)
This post describes my lessons learned after 10 years running production environments in sizes ranging from "just getting started" to a "Series F" company with 4-9 SLAs.
Building a better and scalable system for data migrations (yorickpeterse.com)
Recently I read about a new Rust web framework called rwf. I was especially curious about its approach to handling database migrations, as many frameworks released in recent years tend to either overlook this or provide a mechanism that won't scale to larger projects.
Join-Accumulate Machine: A Semi-Coherent Scalable Trustless VM (graypaper.com)
We present a comprehensive and formal definition of Jam, a protocol combining elements of both Polkadot and Ethereum.
Were RNNs all we needed? (arxiv.org)
The scalability limitations of Transformers regarding sequence length have renewed interest in recurrent sequence models that are parallelizable during training.
Stop Designing Your Web Application for Millions of Users When You Dont Have 100 (darrenhorrocks.co.uk)
It’s easy to get carried away when you’re building a new web app. You’ve got big ideas, you picture millions of users flocking to your platform, and you start imagining the kind of infrastructure needed to handle all that traffic. So, you build for scale from day one—optimising databases, setting up powerful servers, and ensuring everything is robust enough for massive growth.
SwiftUI Apps at Scale (jacobbartlett.substack.com)
How to Build a Scalable Ingestion Pipeline for Enterprise GenAI Applications (enterprisebot.ai)
Behind AWS S3's Scale (highscalability.com)
Unified Grid: How we re-architected Slack for our largest customers (slack.engineering)
System Design Scale (betterengineers.substack.com)
Synchronization Is Bad for Scale (wippler.dev)
Synchronization Is Bad for Scale (wippler.dev)
Kubernetes with Kubeflow vs. Slurm: Scalability (ycombinator.com)
Sieve: Cache eviction can be simple, effective, and scalable (usenix.org)
Ask HN: Can decentralized social networks scale? (ycombinator.com)
Lessons Learned from Scaling to Multi-Terabyte Datasets (v2thegreat.com)
LedgerStore Supports Trillions of Indexes at Uber (uber.com)
How do layer 2s differ from execution sharding? (eth.limo)
Keeping It 100(x) with Real-Time Data at Scale – Figma Blog (figma.com)
World Page Speed Test – planet-wide elastic scale with FLAME (fly.io)