Operating a Large, Distributed System in a Reliable Way: Practices I Learned
For the past few years, I've been building and operating a large distributed system: the payments system at Uber. I've learned a lot about distributed architecture concepts during this time and seen first-hand how high-load and high-availability systems are challenging not just to build, but to operate as well. Building the system itself is a fun job. Planning how the system will handle 10x/100x t
Retrieval Augmented Generation at scale — Building a distributed system for synchronizing and…
Disclaimer: We will go into some technical and architectural details of how we do this at Neum AI — A data platform for embeddings management, optimization, and synchronization at large scale, essentially helping with large-scale RAG. As we’ve shared in other blogs in the past, getting a Retrieval Augmented Generation (RAG) application started is pretty straightforward. The problem comes when tryi
No more DSLs: Implement and deploy a distributed system with a single program
No more DSLs: Implement and deploy a distributed system with a single program If you want to write a distributed system, then instead of writing a thousand different programs and configuration files in many different DSLs, you can use an approach I call "single-program systems", and write just one program. In this article, I describe how we do this at $DAYJOB, and I show some example programs. The
GitHub - vearch/vearch: A distributed system for embedding-based vector retrieval
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Understanding laws of scalability and the effects on a distributed system
A reactive system primarily focuses on responsiveness, elasticity, message-driven, and resiliency as its core features. Elasticity is one of the main components in the reactive manifesto. An elastic system has the ability to scale up or scale down when there is an increase/decrease in demand while remaining responsive. Scenarios where a system needs to improve the throughput or needs to handle mor
GitHub - linkedin/brooklin: An extensible distributed system for reliable nearline data streaming at scale
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Introduction to Distributed System Design - Google Code University - Google Code
Audience and Pre-Requisites This tutorial covers the basics of distributed systems design. The pre-requisites are significant programming experience with a language such as C++ or Java, a basic understanding of networking, and data structures & algorithms. The Basics What is a distributed system? It's one of those things that's hard to define without first defining many other things. Here is a "ca
Most computers are essentially a distributed system internally, and provide their more familiar programming interface as an abstraction on top of that. Piercing through these abstractions can yield greater performance, but most programmers do not need to do so. This is something unique: an abstraction that hides the distributed nature of a system and actually succeeds. Many have observed that toda
Key patterns referring to common design problems related to distributed systems: 1. Bloom FiltersA Bloom filter is a space-efficient probabilistic data structure that is used to test whether an element is a member of a set. It is used where we just need to know if the element belongs to the object or not. In BigTable (and Cassandra), any read operation has to read from all SSTables that make up a
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Your computer is a distributed system
Distributed System Design Patterns