Author

iQIYI Technical Product Team

The technical product team of iQIYI

407

Articles

Likes

2.1k

Views

Comments

Latest from iQIYI Technical Product Team

100 recent articles max

iQIYI Technical Product Team

Dec 29, 2023 · Frontend Development

Performance Optimization of H5 Pages on TV Devices: Challenges, Solutions, and Results

To address fragmented TV OS versions, low‑end hardware, and SDK fragmentation, the Kiwi App team defined unified performance metrics and applied optimizations—resource merging, server‑side rendering, offline caching, HTTP/2 networking, parallel loading, WebView pre‑heating, and page pre‑rendering—cutting average H5 load time from over five seconds to about two seconds and increasing conversion and payment success rates, with plans to keep loads under two seconds.

SSRTV DevicesWeb Performance

0 likes · 13 min read

Performance Optimization of H5 Pages on TV Devices: Challenges, Solutions, and Results

iQIYI Technical Product Team

Nov 24, 2023 · Frontend Development

Performance and Experience Optimization of H5 Special Topic Pages in Mobile App WebView

By implementing offline caching of libraries, template pre‑rendering, native player embedding, split‑screen loading, API slimming, WebP image delivery, and UI tweaks such as title‑bar customization, hide‑nav flags, pull‑to‑refresh, early background color and placeholder optimization, the H5 special‑topic pages in the mobile app WebView achieve up to 60 % faster first‑screen loads, dramatically lower network usage, and a smoother, more immersive user experience.

H5WebViewfrontend

0 likes · 10 min read

Performance and Experience Optimization of H5 Special Topic Pages in Mobile App WebView

iQIYI Technical Product Team

Nov 17, 2023 · Big Data

Mixed Workload Co-location of Big Data and Online Services at iQIYI: Design, Implementation, and Results

iQIYI’s mixed‑workload system colocates Spark/Hive big‑data jobs with online video services by running YARN NodeManagers inside Kubernetes, using an Elastic YARN Operator, Koordinator‑driven CPU oversubscription, and remote shuffle, boosting online CPU utilization from ~9 % to over 40 % and saving tens of millions of RMB annually.

Big DataCloud NativeKubernetes

0 likes · 19 min read

Mixed Workload Co-location of Big Data and Online Services at iQIYI: Design, Implementation, and Results

iQIYI Technical Product Team

Oct 20, 2023 · Artificial Intelligence

Evolution of Effectiveness Advertising Bidding Strategies: From Single to Adaptive Dual Bidding

The article traces the evolution of effectiveness‑advertising bidding—from simple single‑goal bids to weighted, Pareto‑optimal, and finally adaptive dual‑bidding models that integrate deep‑conversion estimators and a non‑linear control function, enabling platforms to balance shallow cost compliance with deep‑level outcomes such as retention and ROI.

Ad TechAdvertisingbidding

0 likes · 11 min read

Evolution of Effectiveness Advertising Bidding Strategies: From Single to Adaptive Dual Bidding

iQIYI Technical Product Team

Sep 22, 2023 · Big Data

Data Lake: Concepts, Architecture, and Application in iQIYI's Data Platform

iQIYI’s data‑middle‑platform team built a four‑zone data lake—raw, product, work, and sensitive—integrated with unified ODS/DWD/MID layers, a metadata catalog, and self‑service tools, leveraging HDFS, Hive/Iceberg, Spark/Trino, and Flink, migrated to Apache Iceberg for real‑time freshness, and now aims to further streamline modules and adopt new technologies.

Apache IcebergData GovernanceData Lake

0 likes · 13 min read

Data Lake: Concepts, Architecture, and Application in iQIYI's Data Platform

iQIYI Technical Product Team

Sep 15, 2023 · Big Data

Apache Spark at iQIYI: Current Status and Optimization

iQIYI now relies on Apache Spark as its main offline engine, processing over 200 000 daily tasks for ETL, data synchronization and analytics, while recent optimizations—dynamic resource allocation, adaptive query execution, compression, rebalance, Z‑order and resource‑governance—have cut compute usage by ~27 %, storage by up to 76 % and improved query speed, completing a large‑scale migration from Hive and paving the way for Spark 3.4 and Iceberg support.

Apache SparkData LakeSQL Service

0 likes · 21 min read

Apache Spark at iQIYI: Current Status and Optimization

iQIYI Technical Product Team

Aug 25, 2023 · Big Data

Venus Log Platform Architecture Evolution: From ELK to Data Lake

The Venus log platform at iQiyi migrated from an ElasticSearch‑Kibana architecture to an Iceberg‑based data lake with Trino, cutting storage and compute costs by over 70%, boosting stability by 85%, and efficiently supporting billions of daily logs through write‑heavy, low‑query workloads.

Big DataElasticSearchIceberg

0 likes · 22 min read

Venus Log Platform Architecture Evolution: From ELK to Data Lake

iQIYI Technical Product Team

Aug 11, 2023 · Artificial Intelligence

Debugging Random OOM Issues in PyTorch Distributed Training on A100 Clusters

The iQIYI backend team traced random OOM crashes in PyTorch Distributed Data Parallel on an A100 cluster to a malformed DDP message injected by a security scan, which forced a near‑terabyte allocation; using jemalloc for diagnostics, they mitigated the issue by adjusting scan policies and collaborating with PyTorch to harden the protocol.

Distributed TrainingOOMPyTorch

0 likes · 9 min read

Debugging Random OOM Issues in PyTorch Distributed Training on A100 Clusters

iQIYI Technical Product Team

Jul 28, 2023 · Operations

Distributed System Log Printing Optimization and Performance Evaluation

The study evaluates log4j2 and logback performance, recommends asynchronous logback for high‑concurrency workloads, demonstrates latency reductions in a production service, and introduces a TraceContext‑based flag to share logging state across micro‑services, cutting daily log volume by ~80 % and easing distributed system overhead.

log optimizationlog4j2logback

0 likes · 16 min read

Distributed System Log Printing Optimization and Performance Evaluation

iQIYI Technical Product Team

Jul 21, 2023 · Mobile Development

Optimizing Video Playback Startup Experience on iQIYI Mobile App

iQIYI’s mobile app reduces video startup latency by preloading data, pre‑decoding frames, pre‑creating player instances, streamlining initialization, optimizing DNS and CDN selection, and employing device‑aware decoding strategies, achieving near‑zero launch times and superior user experience while planning further audio‑track and hardware collaborations.

AndroidMobile Streamingnetwork optimization

0 likes · 8 min read

Optimizing Video Playback Startup Experience on iQIYI Mobile App