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00. ByteByteGo > 4.3 Why Google, Meta put Billion Lines of Code in 1 repository > Flashcards

4.3 Why Google, Meta put Billion Lines of Code in 1 repository Flashcards

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00. ByteByteGo (80 decks)

1.0 Memory and Storage systems

1.2 Latency Numbers

1.4 Data Structures

1.5 Cache Systems

1.7 Cloud Native

1.8 Debugging Like a Pro

1.8 5 Redis Use Cases

1.8 5 Redis Use Cases

2.0 CAP Theorem

2.3 RPC grpc Introduction

2.4 GraphQL REST vs GraphQL

2.5 API Gateway

2.6 Proxy vs Reverse Proxy Reverse Video 58

2.7 Microservices

2.8 Why is Kafka fast

2.9 How to store Passwords in the database

2.9.1 Big Misconception about Bare Metal, Virtual Machines and Conatiners

3.0 HTTP/1 to HTTP/2 to HTTP/3

3.1 Redis: Why is Single threaded Redis so fast

3.2 Most Used Distributed System Patterns

3.3 Secret to Optimizing SQL Queries - Execution Order

3.4 Amazon Prime Video ditches AWS serveless, saves 90%

3.5 Most Popular API Architecture Styles

3.6 Most used Deployment Strategies

3.7 How Discord Stores Trillions of massages

3.8 Uncovering Stack Overflow's shocking Architectiure

3.9 OAuth Explained in simple terms

4.0 Demystifying the Unusual evolution of the Netflix API Architecture

4.1 DevOps vs SRE vs Platform Engineering

4.2 How to 10x your API performance

4.3 Why Google, Meta put Billion Lines of Code in 1 repository

4.4 Git Merge vs Git Rebase

4.5 Load Balancing Algorithms

4.6 Apache Kafka

4.7 Is Docker still Relevant

4.8 HTTP Status codes

4.9 Py vs c++ vs Java

5.0 How Big Tech ships code to Production

5.1 How Git works

5.2 Why is JWT popular?

5.3 How does Linux boot?

5.4 Vertical vs Horizontal scaling: Key Differences

5.5 API Testing

5.6 Client Architecture Patterns

5.7 Linux File system Explained

5.8 How Disney Hotstar Captures One Billion Emojis

5.9 Tools that Turn code into Beautiful Diagrams

6.1 Caching Pitfalls

6.2 ACID Properties

6.3 API Security

6.3 Important Blogs

6.4 API Protocols

6.5 How Mobile apps are released

6.6 KISS, SOLID, CAP, BASE

6.7 What is Data Pipeline

6.8 Kafka vs RabbitMQ vs Messaging Middleware vs Pulsar

6.9 Strategies to scale your database

7.0 Concurrency vs Parallelism

7.1 Linux File permission

7.2 Session vs JWT

7.3 Computer papers

7.4 Linux performance tools

7.5 How the internet works

7.6 How Search really works

7.7 Web Applications

7.8 How SSH really works

7.9 Big-O Notation

8.0 API Pagination: Making Billions of Products Scrolling Possible

8.1 Apache Kafka Fundamentals You should Know

8.2 System design concepts

8.4 Load Balancer

8.5 How Garbage collector works in Java

8.6 Designing Fault Tolerant system

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