Introducing Apache Pulsar: Technical Benefits and Solutions for Didi Big Data Messaging System

Apache Pulsar, a cloud‑native distributed messaging platform, solves Didi Big Data’s DKafka bottlenecks by separating compute and storage, using sequential log writes, heterogeneous disks, multi‑level caching, bundle‑based load balancing and automatic scaling, dramatically improving stability while introducing richer monitoring complexity.

Apache PulsarCluster ManagementDKafka

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Introducing Apache Pulsar: Technical Benefits and Solutions for Didi Big Data Messaging System

Java High-Performance Architecture

Jul 3, 2021 · Backend Development

Building a High‑Throughput, Highly Available Messaging Center with RocketMQ & Elasticsearch

This article outlines the technical, business, and product goals for a messaging center, presents a prototype and functional requirements, evaluates RocketMQ and Elasticsearch as core technologies, and details the architectural design, underlying frameworks, and DevOps strategies—including Spring Cloud Gateway, Kubernetes, and Docker—to achieve 10,000 msg/s upstream throughput, 1,000 msg/s downstream delivery, and 100 % high availability.

ElasticsearchKubernetesMessaging System

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Building a High‑Throughput, Highly Available Messaging Center with RocketMQ & Elasticsearch

Big Data Technology & Architecture

Mar 3, 2021 · Backend Development

Design and Deployment of an Online Messaging System Using RocketMQ at Kuaishou

This article explains why Kuaishou needed a dedicated online messaging system, how RocketMQ was chosen and integrated, the deployment strategies, client SDK design, load‑balancing and disaster‑recovery mechanisms, diverse message features, distributed reconciliation monitoring, and performance‑tuning parameters.

Backend ArchitectureMessaging SystemRocketMQ

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Design and Deployment of an Online Messaging System Using RocketMQ at Kuaishou

21CTO

Feb 7, 2021 · Backend Development

Why We Chose RocketMQ for Our Online Messaging System and How We Built It

This article explains why the team built a dedicated online messaging system, the scenarios where Kafka fell short, the decision to adopt RocketMQ, deployment strategies, SDK design, load‑balancing, distributed monitoring, and performance tuning tips for a robust backend solution.

Messaging SystemRocketMQload balancing

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Why We Chose RocketMQ for Our Online Messaging System and How We Built It

Xianyu Technology

Aug 25, 2020 · Backend Development

Optimizing Offline Push Delivery in Xianyu's Messaging System

Xianyu improved its offline‑push delivery by fixing duplicate Agoo calls, using device IDs, classifying messages to avoid vendor quotas, prompting notification permissions, and personalizing timing and content, which raised the weak‑perception delivery rate by double‑digit percentages and set the stage for path tracing and infrastructure decoupling.

AlibabaMessaging SystemXianyu

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Optimizing Offline Push Delivery in Xianyu's Messaging System