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The 25th GOPS Global Operations Conference in Shenzhen showcased Guoxin Securities' senior manager Lin Ying presenting a four‑stage CMDB development journey, a comprehensive data‑governance solution, real‑world case study, and future outlook, highlighting practical insights for digital transformation in operations.
Ant Group’s “Aspect‑Fusion Intelligence” system, recognized as an outstanding cybersecurity case at the 2025 Beijing Cybersecurity Conference, leverages large‑model AI and expert knowledge to enhance threat detection, lower false positives, and improve explainability in large‑scale intrusion detection.
This article details the 2024‑2027 national IT‑standard action plan, CAICT's dual ITU‑DevOps and domestic DevOps assessment, Galaxy Securities' successful Level‑3 Continuous‑Testing certification for two core projects, and insights from a Q&A interview on implementation challenges, benefits, and future plans.
This article details China’s 2024‑2027 information‑standard action plan, CAICT’s dual ITU‑DevOps evaluation, Galaxy Securities’ successful Level‑3 Continuous Testing certification for two core platforms, and an in‑depth interview revealing the practical benefits, challenges, and future roadmap of adopting DevOps standards in the financial sector.
At the 24th GOPS Global Operations Conference in Shanghai, FAW‑Volkswagen’s tech‑ops lead presented a detailed case study covering the platform’s background, implementation roadmap and results, encountered challenges, and future plans, offering practical insights into integrated DevOps, AIOps, and cloud‑native operations.
This article explains why monolithic applications become problematic as they scale, outlines the key advantages of microservice architectures, provides a step‑by‑step migration guide—including planning, service boundary definition, infrastructure setup, data decoupling, and communication—and illustrates the process with a fintech company case study.
The article details a nine‑month rewrite of a fragmented 23‑interface news‑plugin integration layer into a single trpc‑go service, showing how unified architecture cut development effort by half, boosted stability above 99.99 %, slashed resource costs, raised test coverage to 66 %, and provides practical criteria for deciding when to refactor.
China Pacific Insurance’s chief technology expert and senior security manager discuss how their flagship e‑commerce platform achieved the DevSecOps security delivery level‑2 assessment, the challenges faced, cultural and procedural changes implemented, and the measurable benefits of aligning with both ITU international and domestic standards.
LanZhou Bank’s credit‑system project passed both the ITU DevOps international standard and China’s domestic DevOps continuous‑delivery level‑3 assessment, showcasing how a micro‑service‑based banking platform can boost delivery speed, quality, and digital transformation through a disciplined DevOps practice.
This article explains the concept of baselines in mathematical modeling, outlines how to construct various types such as empirical, random, theoretical, and heuristic baselines, and demonstrates their crucial role in model evaluation, resource allocation, and fostering innovation through practical case studies.
Tencent Health’s medical team deployed Tencent Cloud’s AI Code Assistant, achieving full coverage with roughly 40 % of code generated by the AI; after overcoming early bugs via a vanguard team and feedback loops, they increased per‑capita delivered requirements by 18 %, coding output by 41 %, cut defect rates by 31 %, and earned a 4.8‑out‑of‑5 satisfaction score while planning deeper integration and API‑driven extensions.
The article recounts Firefly Thinking's early BI system limitations, the decision‑making process that led to adopting Volcano Engine, subsequent operational strategies to unlock tool potential, and a forward‑looking vision of data analysis in the large‑model era.
China Southern Airlines achieved leading BizDevOps and continuous delivery capabilities by passing both international ITU DevOps and domestic standards across three key projects, highlighting the strategic impact of DevOps standardization on business value, technology integration, and digital transformation within the airline industry.
This article explores how integrating agile development principles—iterative modeling, rapid feedback, collaborative teamwork, and agile tools—can transform traditional linear mathematical modeling into a more flexible, efficient, and accurate process, illustrated with a pandemic‑prediction case study.
This article explains the concept, value, three‑layer architecture, and practical implementations of a data middle platform, illustrating how it standardizes data, forms a middle‑office organization, and drives cost‑effective business empowerment through examples from Alibaba, NetEase, and other enterprises.
This course provides an in‑depth exploration of integrating Swoole with Laravel to create and manage a database connection pool, covering fundamental concepts, integration steps, performance optimization, real‑world case studies, and best practices for both Laravel and Swoole developers.
This whitepaper investigates the migration of data‑intensive analytics to cloud‑native environments, using Uber’s Presto workload to expose how cloud storage cost models and fragmented I/O patterns affect performance, and proposes optimized I/O strategies to improve cost‑effectiveness and system design.
This whitepaper analyzes the shift of data‑intensive analytics to cloud‑native platforms, examines Uber Presto’s fragmented I/O patterns, reveals hidden storage‑API cost impacts, and proposes cloud‑aware I/O optimization strategies to improve performance‑cost efficiency.
This whitepaper examines the industry trend of moving data‑intensive analytics workloads to cloud‑native environments, analyzing how cloud storage cost models affect performance optimization, and presents an Uber Presto case study that reveals fragmented I/O patterns and proposes cost‑effective optimization strategies.
This whitepaper examines the trend of moving data‑intensive analytics workloads to cloud‑native platforms, revealing how cloud storage cost models affect I/O optimization, and using Uber’s Presto production data to show that traditional I/O strategies overlook costly storage API calls, leading to high expenses.