This article explains how to integrate WebSocket into a Spring Boot project to create a lightweight instant‑messaging system, covering dependency setup, configuration classes, core server implementation, required modules, common deployment issues, and practical solutions with complete code examples.
To add multi‑person video calling with in‑call text chat on Android, developers register a Tencent Cloud account, obtain an APPID, purchase a low‑cost minute package, import the IMSDK/AVSDK/ILiveSDK/BeautySDK, generate a userSig, initialize and log in the SDK, create or join a room, bind an AVRootView for video rendering, and enable IM messaging, resulting in a functional solution built within a day.
Baidu built a unified Android IM SDK and public instant‑messaging system that consolidates login, message routing, synchronization, notifications, and group chat into reusable client and server components, using a hybrid push‑pull model to deliver real‑time, secure communication while dramatically lowering development and maintenance costs across its product portfolio.
The article chronicles Tencent’s shift from QQ chat to enterprise‑grade Tencent Cloud IM, showing how a former QQ team built a globally‑scaled 2800‑node acceleration network and self‑designed storage and QUIC‑optimized messaging engine to support hundreds of millions of concurrent users, meet data‑sovereignty rules, and drive digital transformation in e‑commerce, automotive, education and other sectors, now serving over 100,000 clients and a billion users.
Vivo’s live‑streaming IM system combines short‑polling and long‑connection techniques, Redis SortedSet storage, priority‑based routing, protobuf compression, and discard strategies to deliver a fault‑tolerant, high‑concurrency messaging backbone that scales with growing traffic and diverse message types.
Baidu’s full‑volume push system leverages a public‑mailbox architecture that merges a single shared mailbox with users’ private mailboxes during retrieval, enabling low‑disturbance, high‑speed delivery to over 600 million monthly active users while reducing write costs, as demonstrated by three pandemic‑policy messages reaching more than 200 million users within three days.
The guide walks through building a real‑time instant‑messaging system—using a multiplayer monster‑battle demo—to compare polling, long‑polling, SSE and WebSocket, explains the WebSocket handshake and frame format, shows a custom Node.js server implementation, and advises adopting mature IM SDKs for production.
The paper presents a customizable, dependency‑injected iOS IM framework that separates message‑flow structure from interaction, defines reusable MessageView components with pluggable size‑strategies and a snapshot cache, and exposes standard service protocols, enabling low‑cost integration, business extensibility, and reduced maintenance across diverse chat scenarios.
This article explains how to handle high‑concurrency instant‑messaging scenarios by designing message deduplication, optimizing SQLite write performance with batch inserts and WAL mode, improving query speed with indexes and caching, and reducing UI refresh overhead through delayed and scroll‑aware updates.
This article details the architectural decisions, network protocol choices, message framing strategies, and server‑level optimizations—including Netty adoption, TCP handling, token management, load balancing, NIC queue configuration, and CPU affinity—that enable a scalable, low‑latency instant messaging service supporting millions of concurrent connections.
This article explains the evolution of instant messaging systems from traditional to modern architectures, detailing message synchronization and storage mechanisms, inbox/outbox models, read/write diffusion strategies, and the practical implementation using Redis, MongoDB, and MySQL to achieve scalable, reliable communication.
This article details the design and implementation of an online customer service instant messaging system, covering requirements analysis, client‑server network model, HTTP and WebSocket protocols, distributed architecture choices such as routing rules, Redis shared memory, server‑master sync, and message‑queue broadcasting, and explains why Netty was selected as the development framework.
This article explores core concepts, ID design, read/write fan-out, push‑pull models, and industry implementations for large‑scale instant messaging systems, discussing trade‑offs in message diffusion, unique identifier strategies, real‑time delivery, ordering, unread counts, multi‑device sync, and deployment considerations.
The article details Qunar's in‑house instant messaging platform, covering its purpose, protocol choices (XMPP with protocol‑buffer optimization), architecture based on ejabberd, message flow, reliability mechanisms, extensions such as bots and HTTP APIs, as well as extensive system‑level tuning for high‑concurrency TCP connections.
This article examines the evolution of QTalk’s instant messaging platform, detailing its original centralized design, the motivations for decentralization, the new architecture with domain and public services, security benefits, deployment strategies, and real-world use cases, illustrating how a scalable, secure IM solution can be built for enterprise environments.
This article explains the principles behind QTalk, Qunar's internal instant messaging platform, and describes the mechanisms it uses—such as long‑connection management, message retry, server acknowledgments, and multi‑client synchronization—to achieve stable and reliable message delivery despite network challenges.
The article details the step‑by‑step evolution of the WeChat‑like instant messaging platform at 58 Group, describing how the system transitioned from a simple PHP short‑connection architecture to a layered micro‑service architecture using Java‑based RPC, Go‑based short‑connection services, distributed storage, message queues, and clear separation of storage, logic, and interface layers.
This article explains how a large-scale customer service instant messaging platform uses clustered WebSocket services, Redis, Nginx load balancing, and message‑queue broadcasting to achieve real‑time, reliable message delivery and robust reconnection handling across multiple servers.
The article details the design and overall architecture of ZhaiZhai's instant messaging (IM) system, covering product positioning, a four‑layer architecture (user, entry, logic, storage), and analyses of scalability, high availability, reliability, extensibility, and performance, highlighting the use of C++, RPC, MySQL, TiDB, and custom middleware.
This article provides a comprehensive technical guide on Tencent Cloud's instant messaging (IM) service, comparing UI‑integrated and non‑UI integration approaches, detailing the core chat and input components, their Vue/TypeScript implementations, rendering logic, event handling, and auxiliary features such as file upload simulation, scroll management, and voice/video calling.