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This article explores how black‑market cheating in marketing campaigns and e‑commerce is detected using graph‑based techniques such as same‑person mining, label propagation, Fraudar, and GCN models, and discusses future directions like multimodal data fusion and real‑time dynamic graph computation.
BaikalDB, Baidu's distributed storage system, evolves from an OLTP‑focused engine to a hybrid HTAP architecture by introducing a vectorized query engine and a massively parallel processing (MPP) layer, addressing compute and resource bottlenecks for large‑scale analytical workloads while preserving transactional guarantees.
The article explains how Baidu Cloud Redis's Data Flashback feature combines RDB snapshots with timestamped AOF logs to provide fast, space‑efficient, point‑in‑time data recovery, overcoming the limitations of native Redis persistence in high‑traffic scenarios.
This article explains how the increasing complexity of business logic in modern backend systems leads to tangled code, and demonstrates how strategic and tactical Domain‑Driven Design (DDD) concepts—such as bounded contexts, aggregates, entities, value objects, repositories, and application services—can decouple business and technology, improve maintainability, extensibility, and stability, and guide practical layered architecture implementation.
To meet the demanding network requirements of large‑scale PD‑separated inference, Baidu Cloud built a 4 µs end‑to‑end low‑latency HPN cluster, optimized traffic management, adaptive routing, and custom Alltoall operators, resulting in up to 20 % throughput gains and reduced latency for both Prefill and Decode stages.
The article explains how large‑scale AI model training and inference require massive data handling, describes the RapidFS storage acceleration cluster deployed on a 30,000‑card Kunlun chip system with hundreds of domestic CPU servers, and presents performance tests showing linear throughput scaling up to over 1 TiB/s, demonstrating the impact of high‑performance storage on compute efficiency.
This guide explains how to use Baidu Baige's AI heterogeneous computing platform to deploy the eight‑model Qwen3 family—including dense and MoE variants—via a one‑click process, covering resource configuration, inference acceleration options, and post‑deployment service access.
IDC’s April 2024 report shows China’s automotive cloud market reaching 6.51 billion RMB in the second half of 2024, with a 27.4% YoY growth, and highlights Baidu Cloud’s 34.5% share in the 16.34 billion RMB autonomous‑driving solution market, driven by AI advances and expanding compute investments.
This article details Baidu's log platform point‑governance practice, explaining why uncontrolled event logging inflates storage and compute costs, and describing a three‑stage solution—manual, semi‑automatic platform, and full‑lifecycle standardization—that uses anomaly detection, automated workflows, and IM bots to achieve massive PV reduction and annual cost savings.
Baidu’s SRE digital‑immune system, evolved into an AI‑powered intelligent immunity platform, quantifies and mitigates risk across thousands of services by integrating data‑driven monitoring, rule‑based detection, and large‑model GraphRAG knowledge mining, cutting degradation cases by ~40% and shifting operations from reactive troubleshooting to proactive, data‑centric quality assurance.
