ee4b7305a2
This PR adds all the guides from [Visual Guides](https://bytebytego.com/guides/) section on bytebytego to the repository with proper links. - [x] Markdown files for guides and categories are placed inside `data/guides` and `data/categories` - [x] Guide links in readme are auto-generated using `scripts/readme.ts`. Everytime you run the script `npm run update-readme`, it reads the categories and guides from the above mentioned folders, generate production links for guides and categories and populate the table of content in the readme. This ensures that any future guides and categories will automatically get added to the readme. - [x] Sorting inside the readme matches the actual category and guides sorting on production
4.4 KiB
title, description, image, createdAt, draft, categories, tags
| title | description | image | createdAt | draft | categories | tags | |||
|---|---|---|---|---|---|---|---|---|---|
| 25 Papers That Completely Transformed the Computer World | A curated list of influential papers that shaped the computer world. | https://assets.bytebytego.com/diagrams/0419-25-papers-that-completely-transformed-the-computer-world.png | 2024-02-09 | false |
|
|
Here are 25 papers that have significantly impacted the field of computer science:
-
Google File System: Insights into a highly scalable file system
-
Scaling Memcached at Facebook: A look at the complexities of Caching
-
BigTable: The design principles behind a distributed storage system
-
Cassandra: A look at the design and architecture of a distributed NoSQL database
-
Attention Is All You Need: Into a new deep learning architecture known as the transformer
-
Kafka: Internals of the distributed messaging platform
-
FoundationDB: A look at how a distributed database
-
Amazon Aurora: To learn how Amazon provides high-availability and performance
-
Spanner: Design and architecture of Google’s globally distributed database
-
MapReduce: A detailed look at how MapReduce enables parallel processing of massive volumes of data
-
Shard Manager: Understanding the generic shard management framework
-
Dapper: Insights into Google’s distributed systems tracing infrastructure
-
Flink: A detailed look at the unified architecture of stream and batch processing
-
Zanzibar: A look at the design, implementation and deployment of a global system for managing access control lists at Google
-
Monarch: Architecture of Google’s in-memory time series database
-
Thrift: Explore the design choices behind Facebook’s code-generation tool
-
Bitcoin: The ground-breaking introduction to the peer-to-peer electronic cash system
-
WTF - Who to Follow Service at Twitter: Twitter’s (now X) user recommendation system
-
Raft Consensus Algorithm: To learn about the more understandable consensus algorithm
-
Time Clocks and Ordering of Events: The extremely important paper that explains the concept of time and event ordering in a distributed system