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The team built a reusable low‑latency live‑streaming platform for the European Cup that replaces HLS with RTMP over QUIC, reuses VOD bandwidth, automates stream control, and cuts playback latency by 20 seconds while dramatically lowering bandwidth costs and delivering stable 1080p 50 fps HDR video.
Bilibili’s VOD player cuts bandwidth waste and costs by up to 15% through an intelligent caching and pre‑loading system that evaluates network risk and user habits to size cache dynamically, reduces stalls by 20% in vertical mode, and is continuously refined via a multi‑layer monitoring framework.
The 全民K歌 app reduced video bandwidth by 59% and improved playback experience by adopting Tencent's TXAV1 encoder, achieving 60% AV1 playback share, 20% better compression than H.265, and extensive mobile device support through careful transcoding strategies and performance testing.
The article examines how Apollo’s long‑polling and push‑pull design cause massive database bandwidth spikes during large namespace updates in promotion periods, analyzes the RemoteConfigLongPollService and repository code, and proposes three optimizations—key‑level synchronization, MD5‑based change detection, and circuit‑breaker handling—while weighing real‑time versus periodic update trade‑offs.
At LiveVideoStackCon 2023, XiaoHongShu unveiled an edge‑cloud super‑resolution framework guided by the human‑perception‑aligned RedVQA model, which jointly optimizes video quality and bandwidth by generating a dedicated SR bitrate tier in the cloud and applying a lightweight SR algorithm on the client, achieving notable QoE gains and narrow‑band HD delivery.
Tencent Video slashed static image bandwidth costs by over 60% using AVIF compression and on‑the‑fly image sampling, which together cut average image size by more than half, reduced memory, latency and decode time, and saved tens of millions of yuan across billions of daily requests.
This article details the challenges and solutions for building a scalable, low‑latency danmaku service for live streaming, covering background requirements, bandwidth constraints, protocol choices, short‑polling implementation, reliability measures, and performance results that supported 700,000 concurrent users during a major event.
By leveraging the Yugong Platform’s predictive control—combining Prophet‑based threshold forecasts, custom real‑time bandwidth models, and a token‑bucket mechanism—to smooth peaks and fill valleys, enterprises can dramatically improve CDN bandwidth utilization, automate adjustments, and substantially lower peak‑based billing costs.
This article describes the challenges of delivering real‑time danmaku for a Southeast Asian live‑streaming service, analyzes bandwidth pressure, network instability, and reliability issues, and presents a series of backend optimizations—including HTTP compression, response simplification, short‑polling, service splitting, caching, and a custom ring‑buffer—to reliably support up to one million concurrent users.
This article presents a detailed case study of designing a high‑throughput danmu (bullet‑screen) system for Southeast Asian live streaming, analyzing bandwidth constraints, latency issues, and evaluating long‑polling, WebSocket, and short‑polling approaches, ultimately describing the chosen short‑polling solution, service partitioning, caching, and ring‑buffer techniques to achieve stable performance for millions of concurrent users.
A visual‑lossless deep‑learning pre‑processor that employs a DCT‑based low‑rank loss and an ultra‑lightweight CPU‑friendly model achieves up to 20% bitrate reduction for 1080p videos while preserving high‑frequency details, enabling real‑time transcoding and bandwidth savings for popular content on Bilibili.
This article describes Bilibili's offline multi‑datacenter architecture, explaining why a scale‑out approach was chosen over scale‑up, and detailing the unit‑based design, job placement, data replication, routing, versioning, bandwidth throttling, traffic analysis, and the operational results and future directions.
To overcome rapid data growth and on‑premise capacity limits, Bilibili adopted a scale‑out, unit‑based multi‑datacenter architecture that isolates failures, intelligently places jobs, replicates data via an enhanced DistCp service, routes reads with an IP‑aware HDFS router, and throttles cross‑site traffic, enabling stable offline big‑data processing of hundreds of petabytes while preserving throughput.
Enterprise A consolidated its numerous VPC peering links and dedicated‑line gateways into a single Tencent Cloud Connect Network instance, enabling automatic route learning, ECMP load‑balancing across four 10 Gbps lines, boosting bandwidth utilization from about 50 % to 75 % while cutting operational complexity and enhancing cross‑region high availability.
Video encoding standards—from H.264 to AV1 and China’s AVS series—have successively doubled compression efficiency, lowering bandwidth and storage costs, while patent royalties steer industry adoption, prompting Chinese platforms like iQIYI to develop proprietary, high‑speed encoders and prepare for next‑gen codecs such as AVS3 and H.266.
iQIYI has become the first Chinese video platform to deploy the open‑source AV1 codec on its PC web and Android apps, cutting video file size by about 20%, and its in‑house QAV1 encoder further reduces bitrate over 40% and runs roughly five times faster than competing encoders, enabling smoother 4K/8K streaming while saving bandwidth.
Alibaba Entertainment’s 2019 Double‑11 Cat Night live stream combined FPGA‑based H.265 transcoding, smart‑profile QoE adaptation, Dolby Atmos audio and frame‑aligned multi‑view video to deliver ultra‑HD 4K60 streams at 35% lower bandwidth cost, achieving zero failures, zero degradations and over 99.99% service availability.
This article shares Tencent SNG's practical experience in bandwidth cost optimization, detailing how advanced image and video compression techniques, adaptive resolution, AI‑driven super‑resolution, and efficient transcoding pipelines reduced over a billion yuan in cash flow while preserving user experience and product quality.
The article reviews recent developments in image compression formats such as JPEG, WebP, HEVC, and Tencent's proprietary WXAM/SHARP, explains Guetzli's perceptual encoding, details extensive GPU‑based performance optimizations, and demonstrates how these techniques dramatically reduce bandwidth usage in Tencent's massive image storage platform.
Tencent’s social services cut two hundred million RMB in bandwidth costs by flattening traffic peaks through seven practices—disabling auto‑play, pre‑pushing hot content, compressing media, offering on‑demand quality, using segmented downloads, applying technical breakthroughs like P2P and codec optimization, and filtering illegal content—while preserving user experience.