Welcome to our tutorial on designing a scalable distributed message queue system for system design interviews, similar to Apache Kafka or RabbitMQ! 🌐 In this video, we dive into the architecture and flow of a distributed message queue, exploring key components such as Global Server Load Balancer (GSLB), Metadata Service, API Gateways, and Backend Clusters. 🤖🔗
Timestamps:
00:00 Introduction
02:43 System Requirements
04:50 High Level Overview
08:00 Global Server Load Balancer
09:55 API Gateway Service
12:56 Metadata Service
16:20 Datastore for Metadata?
21:00 Metadata Service Architecture
25:42 Datastore for Backend?
27:40 Backend Host Architecture
33:57 System Considerations
📌 Topics Covered:
GSLB for efficient load balancing
Metadata Service and its interaction with databases
API Gateways managing message flow
Backend Clusters processing and responding to messages
🛠️ Learn how each component contributes to a seamless API flow, from the moment a message is produced to its consumption by the end consumer. Follow along as we discuss the intricate details of the architecture, ensuring scalability and reliability in a distributed system.
🚀 Whether you're a beginner exploring distributed systems or an experienced developer looking to enhance your knowledge, this tutorial provides valuable insights and practical examples.
🔍 Topics Discussed: Distributed Message Queue, DNS Server, Metadata Service, API Gateway, Backend Clusters, Scalable Architecture, Distributed Systems, Message Queue Flow, Load Balancing, Database Interaction, Sharding, Partitioning, Replication, Cassandra, Zookeeper, SQL Databases, Document Databases, NoSQL, SSH, TLS
🔗 Dive into the world of distributed systems with us! Don't forget to like, share, and subscribe for more insightful tutorials on building robust and scalable systems. Happy coding! 🖥️✨ 🚀👨💻
24 июл 2024
