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Architect
Architect
Feb 28, 2025 · Backend Development

Designing a High‑Performance Feeds System for Tencent Channel: Architecture, Strategies, and Optimizations

This article analyzes how Tencent Channel builds a scalable Feeds system for a massive multi‑level community by presenting a three‑layer architecture, core design principles, and read/write diffusion strategies to handle sub‑channel lists, post squares, and personal feeds while mitigating empty‑pull and moderation challenges.

DistributedSystemsFeedsReadWriteSeparation
0 likes · 12 min read
Designing a High‑Performance Feeds System for Tencent Channel: Architecture, Strategies, and Optimizations
Tencent Cloud Developer
Tencent Cloud Developer
Feb 26, 2025 · Backend Development

High-Performance Feeds Flow System Architecture for Tencent Channel

The article describes Tencent Channel’s high‑performance Feeds flow system, built on a three‑layer logical‑proxy‑storage architecture that separates reads and writes, uses distributed caches and timestamp‑based pruning to cut query load fifty‑fold, and combines public indexes with user‑specific reads to enforce visibility controls.

Feeds flowSystem ArchitectureTencent
0 likes · 10 min read
High-Performance Feeds Flow System Architecture for Tencent Channel
DataFunSummit
DataFunSummit
Jan 7, 2025 · Artificial Intelligence

Tencent OlaChat: Intelligent Data Analysis Platform – Research, Architecture, and Capabilities

This article presents the Tencent PCG OlaChat team's research and practice in intelligent data analysis, covering the DIKW model, evolution of BI platforms, the impact of large language models, challenges of third‑generation data products, detailed product features, agent architecture, system design, and related academic publications.

Intelligent BILLMTencent
0 likes · 19 min read
Tencent OlaChat: Intelligent Data Analysis Platform – Research, Architecture, and Capabilities
DataFunTalk
DataFunTalk
Dec 10, 2024 · Artificial Intelligence

Tencent Large Language Model Applications: RAG, GraphRAG, and Agent Technologies

This article explores Tencent's large language model deployments across various business scenarios, detailing the principles and practical implementations of Retrieval‑Augmented Generation (RAG), GraphRAG for role‑playing, and Agent technologies, while also covering model fine‑tuning, knowledge‑base construction, and evaluation methods.

AI applicationsGraphRAGRAG
0 likes · 15 min read
Tencent Large Language Model Applications: RAG, GraphRAG, and Agent Technologies
DataFunSummit
DataFunSummit
Dec 3, 2024 · Artificial Intelligence

Applying Large Language Models to NPC Role‑Playing and Game Localization at Tencent

This article details Tencent's practical exploration of large language model deployment in overseas game scenarios, covering the design of customized NPC role‑playing models, multilingual localization pipelines, data construction, training, evaluation frameworks, multi‑agent improvement loops, and insights from a comprehensive Q&A session.

AI evaluationLarge Language ModelsNPC AI
0 likes · 17 min read
Applying Large Language Models to NPC Role‑Playing and Game Localization at Tencent
Tencent Cloud Developer
Tencent Cloud Developer
Dec 3, 2024 · Cloud Native

Tencent's PolarisMesh: Cloud-Native Microservice Governance Practices and Case Studies

Tencent's PolarisMesh showcases cloud-native microservice governance by detailing the shift from monoliths to containerized services, outlining service splitting principles, Kubernetes deployment, dynamic routing, fault isolation, and real-world case studies that demonstrate cost savings, reliability improvements, and open-source availability.

Cloud NativeKubernetesMicroservices
0 likes · 31 min read
Tencent's PolarisMesh: Cloud-Native Microservice Governance Practices and Case Studies
DataFunSummit
DataFunSummit
Nov 5, 2024 · Big Data

Tencent Real-Time Lakehouse Architecture and Intelligent Optimization Practices

This article presents Tencent's real-time lakehouse architecture, detailing its three-layer design, the Auto Optimize Service with compaction, indexing, clustering and engine acceleration, scenario capabilities such as multi‑stream joins and in‑place migration, and outlines future optimization directions.

Big DataData LakeIceberg
0 likes · 11 min read
Tencent Real-Time Lakehouse Architecture and Intelligent Optimization Practices
Tencent Architect
Tencent Architect
Oct 25, 2024 · Artificial Intelligence

How Tencent’s TVQA‑C Algorithm Won the ECCV 2024 Video Quality Challenge

Tencent’s TVQA‑C video quality assessment algorithm clinched first place in the ECCV 2024 AIM Workshop compression video quality track, showcasing a novel model architecture, group‑aware training strategy, and specialized loss functions that will soon power Tencent Cloud’s media processing services.

AICompressionECCV 2024
0 likes · 10 min read
How Tencent’s TVQA‑C Algorithm Won the ECCV 2024 Video Quality Challenge
Sohu Tech Products
Sohu Tech Products
Sep 11, 2024 · Big Data

Tencent Real-time Lakehouse Intelligent Optimization Practice

Tencent’s real‑time lakehouse combines Spark, Flink, StarRocks and Presto compute layers with Iceberg‑based management and HDFS/COS storage, and its Intelligent Optimize Service—comprising Compaction, Expiration, Cleaning, Clustering, Index and Auto‑Engine modules—automatically reduces merge time, improves query performance, enables secondary indexing, and dynamically routes hot partitions, while future plans target cold/hot separation, materialized view acceleration, and AI‑driven optimizations.

Big DataClusteringCompaction
0 likes · 12 min read
Tencent Real-time Lakehouse Intelligent Optimization Practice
DataFunSummit
DataFunSummit
Jul 31, 2024 · Big Data

Tencent Big Data Processing Suite and Gravitino: Unified Metadata and Permission Management

This article introduces Tencent's Big Data Processing Suite (TBDS) and the open‑source Gravitino project, explaining how they provide a unified metadata service and a comprehensive, extensible permission model to address data and permission islands across heterogeneous Hadoop and MPP ecosystems.

Big DataData LakeGravitino
0 likes · 12 min read
Tencent Big Data Processing Suite and Gravitino: Unified Metadata and Permission Management
DataFunTalk
DataFunTalk
May 3, 2024 · Artificial Intelligence

Advances, Challenges, and Industrial Practices in Text‑to‑Video Generation – From Diffusion Models to Sora

This article reviews the rapid progress of text‑to‑video generation, explains diffusion‑based video synthesis, outlines key technical challenges such as motion modeling, semantic alignment and quality, and presents Tencent’s solutions and real‑world applications, while also discussing future directions and the impact of OpenAI’s Sora model.

AISoraTencent
0 likes · 23 min read
Advances, Challenges, and Industrial Practices in Text‑to‑Video Generation – From Diffusion Models to Sora
Selected Java Interview Questions
Selected Java Interview Questions
Sep 25, 2023 · Backend Development

Quick Start Guide to Spring Cloud Tencent with Polaris Service Discovery

This guide introduces Spring Cloud Tencent, a one‑stop microservice solution that integrates Spring Cloud with Tencent's Polaris service discovery, and provides step‑by‑step instructions—including building the project, adding dependencies, configuring application.yml, and running the application—to quickly set up a functional Spring Cloud Tencent service.

MicroservicesPolarisService Discovery
0 likes · 8 min read
Quick Start Guide to Spring Cloud Tencent with Polaris Service Discovery
DataFunTalk
DataFunTalk
Sep 9, 2023 · Big Data

Presto + Tencent DOP (Alluxio) Architecture and Optimization Practices for Financial OLAP

This article presents the practical implementation of Presto combined with Tencent DOP (Alluxio) in a financial OLAP scenario, detailing background and architectural evolution, the Presto‑Alluxio design, optimization techniques for caching, storage scalability, ORC handling, and performance results, followed by conclusions and future directions.

AlluxioBig DataOLAP
0 likes · 15 min read
Presto + Tencent DOP (Alluxio) Architecture and Optimization Practices for Financial OLAP
DataFunSummit
DataFunSummit
Aug 25, 2023 · Big Data

Big Data Meets Cloud Native: Tencent's Cloud‑Native Big Data Architecture, Challenges, and Practices

This article explores how Tencent integrates big data with cloud‑native technologies, detailing the evolution, opportunities, challenges, the peak‑range (FengLuan) architecture, engine and scheduling layers, mixed‑workload strategies, runtime optimizations, and future directions for large‑scale data platforms.

Big DataCloud NativeKubernetes
0 likes · 17 min read
Big Data Meets Cloud Native: Tencent's Cloud‑Native Big Data Architecture, Challenges, and Practices
DataFunTalk
DataFunTalk
Jul 1, 2023 · Big Data

Tencent SuperSQL: Architecture, Adaptive Compute Engine, Real‑time Lakehouse Fusion and Future Outlook

The article introduces Tencent's self‑developed SuperSQL big‑data platform, detailing its four‑layer architecture, adaptive compute engine with multi‑engine selection, real‑time lake‑warehouse integration, performance optimizations and future directions for intelligent, cloud‑native analytics.

Big DataLakehouseReal-time Analytics
0 likes · 11 min read
Tencent SuperSQL: Architecture, Adaptive Compute Engine, Real‑time Lakehouse Fusion and Future Outlook
Architect's Tech Stack
Architect's Tech Stack
Jun 27, 2023 · Fundamentals

OpenKona JDK: Tencent’s Open‑Source Java Compiler and Its Performance Advantages

Tencent has donated its high‑performance OpenKona JDK compiler to the Open Atom Open‑Source Foundation, offering up to 15% better performance than standard OpenJDK and supporting domestic CPUs and operating systems, making it a significant contribution to the Java ecosystem.

CompilerJavaOpenJDK
0 likes · 4 min read
OpenKona JDK: Tencent’s Open‑Source Java Compiler and Its Performance Advantages
Efficient Ops
Efficient Ops
May 31, 2023 · Operations

How Tencent Scales SRE: Building a SLO‑Based Quality Operations System

This article examines Tencent's end‑to‑end SRE quality‑operation framework built on Service Level Objectives (SLO) and On‑Call, detailing industry background, problem statements, SLO management, On‑Call benefits, product architecture, large‑scale deployment, and future plans for reliability engineering.

Quality OperationsReliability EngineeringSLO
0 likes · 11 min read
How Tencent Scales SRE: Building a SLO‑Based Quality Operations System
Tencent Cloud Developer
Tencent Cloud Developer
May 10, 2023 · Cloud Native

Tencent's Large‑Scale Cloud‑Native Migration: Challenges and Solutions

In October 2022 Tencent finished migrating its flagship services—including QQ, WeChat, and Honor of Kings—to a cloud‑native architecture spanning over 50 million CPU cores, overcoming millisecond‑level upgrade, stateful in‑place refresh, massive cross‑region scaling, and heterogeneous hardware by deploying the TKEx platform’s sidecar upgrades, three‑container patterns, Global Scaler Operator, machine‑type abstraction, and Clusternet‑based application‑centric orchestration, boosting CPU utilization to 65 % and establishing China’s largest cloud‑native practice.

Cloud NativeContainer UpgradeKubernetes
0 likes · 19 min read
Tencent's Large‑Scale Cloud‑Native Migration: Challenges and Solutions
DataFunTalk
DataFunTalk
May 4, 2023 · Big Data

Tencent Content Ecosystem Real‑Time Signal System: Architecture, Challenges, and Optimization

This article explains how Tencent builds a trillion‑scale real‑time signal system for its content ecosystem, covering signal applications, data source and processing challenges, a layered architecture with Flink‑based streaming, dynamic topic detection, high‑throughput ID mapping, large‑window calculations, rule‑engine triggering, and future roadmap for scalability and cost reduction.

Big DataData GovernanceReal-time Streaming
0 likes · 17 min read
Tencent Content Ecosystem Real‑Time Signal System: Architecture, Challenges, and Optimization
IT Services Circle
IT Services Circle
May 1, 2023 · Operations

Understanding Internet Incident Levels and Prevention – The March 29 Tencent Outage

The article explains the classification of internet service incidents into four levels based on severity and impact, illustrates each level with the March 29 Tencent outage, and outlines practical prevention measures such as security defenses, backup plans, monitoring, training, and emergency response.

Tencentincident managementoperations
0 likes · 5 min read
Understanding Internet Incident Levels and Prevention – The March 29 Tencent Outage