The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A distributed systems reliability glossary
A list of key concepts for building and testing reliable distributed systems, with basic definitions and deep references.
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and... - Selection from Designing Data-Intensive Applications [Book]
GitHub - tunjid/heron: A graceful multiplatform bluesky client
A graceful multiplatform bluesky client. Contribute to tunjid/heron development by creating an account on GitHub.
Jacky Kwok on Twitter / X
Scaling self-verification with DeepSeek V4 Flash beats Claude Fable 5 on Terminal-Bench 2.1, while being 11x cheaper 💰As open-source models become more capable, they can now generate large numbers of high-quality candidate solutions and verify their own outputs at very low… https://t.co/as2HtyHzzW pic.twitter.com/XzVBgr5JPz— Jacky Kwok (@jackyk02) August 17, 2026
Dynamo | Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Reliability at massive scale is one of the biggest challenges we face at Amazon.com, one of the largest e-commerce operations in the world; even the slightest outage has significant financial consequences and impacts customer trust. The Amazon.com ...
How to Scale a System from 0 to 10 million+ Users
Scaling is a complex topic, but after working at big tech on services handling millions of requests and scaling my own startup (AlgoMaster.io) from scratch, I’ve realized that most systems evolve through a surprisingly similar set of stages as they grow.
Depot | Software Delivery built for machine scale
Depot provides fast source control, builds, CI runners, sandboxes, caches, and registries to ship reliable software at machine scale.
Designing Data-Intensive Applications (DDIA) — an O’Reilly book by Martin Kleppmann (The Wild Boar Book)
NoSQL… Big Data… Scalability… CAP Theorem… Eventual Consistency… Sharding…
Distributed Systems lecture series
Build Bigger With Small Ai: Running Small Models Locally
Binepad
Binepad - Enhancing Your Computing Experience Worldwide. Discover a curated selection of high-quality computer peripherals designed to improve productivity and elevate your digital workspace.
Bluefin
The next generation cloud-native Linux workstation, designed for reliability, performance, and sustainability.
An unordered / non-exhaustive list of things that helped scale Bluesky's infra efficiently: + Exiting the cloud (colocation) + HAProxy w/many Node backends + Go w/clever code + ScyllaDB + SQLite w/per user databases + Redis w/many instances + AMD servers w/many cores + Purchasing bandwidth directly
Hi protocol friends! I've been cooking up a Very Large PDS (vlpds) implementation capable of scaling up to billions of accounts and down to just one. It uses Object Storage as its only state, supports HA operation, live scaling up and down, is feature-complete with the reference PDS, and is FOSS.
Overview · vlpds docs
vlpds.jazco.dev
