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Latest from Bilibili Tech

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Bilibili Tech

Mar 25, 2025 · Cloud Native

Technical Case Study: Accelerating Live‑to‑VOD Conversion for the 2025 Spring Festival Gala

By replacing the legacy FLV recorder with an m3u8‑based service, introducing a short‑segment, state‑machine transcoder, and deploying an event‑driven proxy and instant‑clipping UI, the team cut the 4‑hour‑40‑minute Spring Festival Gala’s live‑to‑VOD processing from 41 minutes to about eight minutes, achieving roughly a five‑fold speedup.

Performance optimizationVOD conversiondistributed-systems

0 likes · 21 min read

Technical Case Study: Accelerating Live‑to‑VOD Conversion for the 2025 Spring Festival Gala

Bilibili Tech

Mar 18, 2025 · Operations

Technical Practices for Ensuring Stability of Bilibili’s 2025 Spring Festival Gala Live Stream

Bilibili’s engineering team built a scenario‑metadata and one‑click fault‑drill platform, implemented multi‑tier degradation, dynamic capacity planning, and extensive automated fault‑injection testing to guarantee zero‑severity incidents during the high‑traffic 2025 Spring Festival Gala live stream.

Fault InjectionHigh Concurrencylive streaming

0 likes · 16 min read

Technical Practices for Ensuring Stability of Bilibili’s 2025 Spring Festival Gala Live Stream

Bilibili Tech

Mar 14, 2025 · Backend Development

Evolution and Optimization of Bilibili Membership Ticketing System for High‑Concurrency Scenarios

Bilibili’s ticketing platform evolved from a single‑transaction, synchronous design to an asynchronous batch system and finally to a Redis‑cached inventory layer, adding DB isolation changes, sharding, bloom‑filter protection and adaptive rate limiting, which together enabled handling up to 930 k requests per second and stable high‑concurrency ticket sales.

High Concurrencyasynchronous processingbackend optimization

0 likes · 18 min read

Evolution and Optimization of Bilibili Membership Ticketing System for High‑Concurrency Scenarios

Bilibili Tech

Mar 11, 2025 · Backend Development

Architecture and Core Components of the Big Member Transaction System

The Big Member Transaction System is a modular, virtual‑item‑focused platform that coordinates independent yet tightly integrated services—order orchestration, signing contracts, product management, payment hub, risk control, and settlement—using unique business IDs, state‑machine lifecycles, SDK‑driven front‑end integration, and robust consistency mechanisms to ensure flexible, secure, and scalable online commerce.

Order Managementbackend developmentpayment SDK

0 likes · 17 min read

Architecture and Core Components of the Big Member Transaction System

Bilibili Tech

Mar 7, 2025 · Frontend Development

Low‑Code Exploration and Remote Component Integration for Large‑Scale Front‑End Activities

The Cat Ear front‑end team solved the inefficiency of manually coding large‑scale live events by embedding remote low‑code components through a segment‑loader architecture, allowing operations to configure reusable JS/CSS/JSON bundles, cutting code size, accelerating delivery, and enabling rapid hot‑fixes while preserving pro‑code flexibility.

activity platformremote components

0 likes · 17 min read

Low‑Code Exploration and Remote Component Integration for Large‑Scale Front‑End Activities

Bilibili Tech

Mar 4, 2025 · Artificial Intelligence

Engineering Practices and Optimizations for Text‑to‑Video Generation Models (OpenSora, CogVideoX) on Bilibili TTV Team

The Bilibili TTV team optimized OpenSora and CogVideoX text‑to‑video models by redesigning data storage with Alluxio, parallelizing VAE encoding, applying dynamic sequence‑parallel and DeepSpeed‑Ulysses attention, adapting GPU code for NPU execution, leveraging profiling‑driven kernel fusion, FlashAttention, and expandable memory to dramatically increase training efficiency and frame throughput, while outlining future pipeline‑parallel and ZeRO‑3 scaling plans.

Diffusion TransformerFlashAttentionModel Parallelism

0 likes · 26 min read

Engineering Practices and Optimizations for Text‑to‑Video Generation Models (OpenSora, CogVideoX) on Bilibili TTV Team

Bilibili Tech

Feb 28, 2025 · Frontend Development

Why React’s Hooks Sparked a New UI Paradigm—and What Comes Next

The article traces React’s evolution from early JSX‑based componentization to the Hooks‑driven functional component era, compares alternative approaches like Solid.js, Vue, and Svelte, and reflects on the underlying principles of separation of concerns and intimacy that drive UI paradigm shifts.

Component ArchitectureReActSolid.js

0 likes · 19 min read

Why React’s Hooks Sparked a New UI Paradigm—and What Comes Next

Bilibili Tech

Feb 25, 2025 · Artificial Intelligence

Design and Implementation of a Live Streaming Highlight System with AI Optimization

The paper details a live‑streaming highlight system that integrates heterogeneous data sources, uses a three‑stage pipeline with MySQL/Redis storage, applies sliding‑window interval optimization and AI‑driven title generation, scoring, and segment selection, managed by a shared state‑machine, and outlines future stability and observability improvements.

AI OptimizationHighlight SystemMySQL

0 likes · 22 min read

Design and Implementation of a Live Streaming Highlight System with AI Optimization

Bilibili Tech

Feb 21, 2025 · Databases

Applying ClickHouse Bitmap and BSI Techniques for Real-Time Audience Selection in a Data Management Platform

By integrating ClickHouse bitmap structures, a dictionary service for dense ID mapping, and Bit‑Slice Indexes, Bilibili’s Data Management Platform now supports flexible, multi‑dimensional audience selection and profiling over petabyte‑scale data with minute‑level latency, cutting storage by over twenty‑fold and query times from hours to seconds.

BSIBitmapClickHouse

0 likes · 23 min read

Applying ClickHouse Bitmap and BSI Techniques for Real-Time Audience Selection in a Data Management Platform

Bilibili Tech

Feb 18, 2025 · Artificial Intelligence

Algorithmic Empowerment of Bilibili Streaming: VOD Transcoding Decision, Resource Estimation, and Live Comment Semantic Analysis

The article details how Bilibili leverages AI algorithms—including XGBoost, statistical rules, XDeepFM, and fine‑tuned SBERT—to optimize VOD transcoding decisions, estimate compute resources and processing time, and analyze live comments, thereby boosting streaming efficiency, utilization, and user experience.

AITranscoding OptimizationXGBoost

0 likes · 19 min read

Algorithmic Empowerment of Bilibili Streaming: VOD Transcoding Decision, Resource Estimation, and Live Comment Semantic Analysis