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This article explores iQIYI’s comprehensive testing ecosystem, detailing industry trends, the platform’s multi‑terminal challenges, fragmented legacy solutions, and the unified, cloud‑native “Qijing” environment that streamlines test access, zero‑trust security, and real‑world validation for rapid product delivery.
iQIYI’s multimodal speaker diarization system splits long‑form video using subtitle timestamps and scene detection, extracts voiceprints with a custom model, hierarchically clusters them, and applies an Activate Speaker Detection algorithm combined with face‑recognition to assign speakers, achieving around 90 % precision and recall and boosting downstream tasks such as summarization, translation, and dubbing.
iQIYI’s Multi‑AZ unified scheduling architecture combines a unified storage layer (QBFS), an abstracted compute scheduler (QBCS), and a federated metadata service (Waggle Dance) to seamlessly route data and jobs across availability zones, cut storage costs up to 65 %, reduce overall big‑data workload expenses by more than 35 %, and lay the groundwork for future hybrid‑cloud expansion.
iQIYI’s AI‑powered search expands beyond title‑only queries by handling fuzzy role, plot, star, award, and semantic searches, using Chain‑of‑Thought‑generated TIPS, Retrieval‑Augmented Generation with sophisticated indexing, chunking, embedding, reranking, and prompt‑engineering to deliver personalized, accurate video recommendations that boost user engagement.
iQIYI implemented full‑link load testing of its playback service using LoadMaker for traffic generation and Rover for link control, mapping the topology, creating weighted user scenarios, and safely pressurizing production‑like environments, which validated multi‑times historical peak capacity, uncovered bottlenecks, and enabled several performance and disaster‑recovery improvements without impacting real users.
This article outlines the importance of event tracking for data, describes iQIYI's five‑stage tracking system evolution, analyzes the challenges of the self‑service phase, presents the middle‑platform improvements, explains the migration strategy, and details the downstream data lake, real‑time stream, and data‑warehouse processing workflows.
iQIYI's proactive compliance risk disposal platform and full‑lifecycle privacy protection scheme were recognized by MIIT as outstanding cases, showcasing engineering‑driven privacy integration across product development, release, and operation, improving compliance rates, reducing risks, and enhancing user experience while setting industry standards.
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.
The article details how iQIYI's Magic Mirror platform evolved from a simple single‑table reporting tool to a multi‑engine, self‑service big data analysis system that improves data access speed, reduces operational costs, and supports comprehensive business analytics across the company.
This article presents iQIYI’s comprehensive data link governance practice, covering the motivations, offline and real‑time pipeline governance strategies, monitoring mechanisms, data lineage, and exploratory work such as intelligent attribution and field‑level lineage to improve data accuracy, timeliness, and reliability.
DRM safeguards digital content by authenticating users and encrypting streams, a necessity highlighted by iQIYI’s shift from free distribution to paid membership, prompting a dual‑layer architecture that combines hardware‑based Trusted Execution Environment protection with flexible software SDKs, continuously assessed and evolving to balance security, cost, and user experience.
iQIYI’s internal DNS evolved from a simple private‑cloud master/slave design into a multi‑layer Anycast architecture and, finally, a hybrid‑cloud solution that unifies private and public cloud name resolution through directional forwarding, proxy bridging, and automated management, delivering secure, low‑latency, globally consistent service.
iQIYI’s award‑winning AI dubbing system, IQDubbing, uses deep‑learning voice conversion, voiceprint, facial and audio processing to cut dubbing time to one‑sixth, slash costs, secure 21 patents, and has already dubbed over 90 films and 200 TV series across multiple languages.
By upgrading to the third‑phase Interoperable Master Format, iQIYI has cut delivery time in half, enabling one film’s upload to cover two, while reducing subtitle edit time to 5% of the original, slashing storage by over a third, and supporting 4K‑HDR and immersive audio for faster, more flexible global distribution.
iQIYI’s Basic Data Platform unifies data exchange across dozens of business lines by providing massive storage, distribution, online query and offline analysis services, employing an access layer, unified management, fine‑grained governance, dual‑cluster ID generation, active‑standby HBase with MongoDB WAL, RocketMQ messaging with server‑side filtering, and horizontally scalable read replicas to ensure high availability and performance.
iQIYI optimized a 4K video super-resolution model using TensorRT, employing split of graph, operator fusion, custom CUDA kernels, and int8 quantization, achieving tenfold speedup (≈180 ms per 1080p frame) and demonstrating deep customization potential for large‑scale production.
The article details iQIYI's comprehensive data governance initiative for event tracking (Pingback), covering definitions, timing, quality requirements, governance challenges, standardized specifications, coordinate management, testing and gray‑release processes, upgrade workflows, and data security measures that together reduced event volume by 40% and cut resource consumption in half.
iQIYI’s SDN‑based full‑network automatic traffic‑scheduling system dynamically balances inter‑ and intra‑province traffic using BGP and policy routing, integrates monitoring, flow collection, DFS backup‑path calculation, and real‑time Kafka/Flink processing, cutting fault‑handling time to minutes and boosting link availability to 99.9999 % while preparing for programmable‑switch and SR‑based extensions.
iQIYI’s AB testing platform integrates a layered traffic‑splitting architecture, real‑time SDK and API delivery, log‑replay data collection, and rigorous T‑test statistical analysis to enable fast, reliable product, algorithm, and operations experiments, exemplified by a UI redesign that boosted watch time by 17.85%.
At iQIYI’s iTech Conference, Zhang Zhigang detailed a full‑stack search ranking system that combines NLP‑driven query analysis, hierarchical indexing, multi‑stage coarse‑to‑fine ranking, Transformer‑based re‑ranking, sparse‑feature DNN enhancements and LIME/SE‑Block explainability, delivering measurable gains in CTR and NDCG for the platform’s video search.