Improve Cloud Native - Dubbo Kubernetes Best Practices
Explore Dubbo's efficient integration with Kubernetes for enhanced deployment, monitoring, and operation in cloud-native microservices.
Big Data Row and Column Mixed Permissions Fine Management Practice
Explore fine-grained data permission control using Apache Calcite and Gemini. Learn to extract precise access points and implement multi-dimensional mixed permissions for enhanced data security.
Application and Practice of Data Integration Technology at Xiaomi
Explore Xiaomi's data integration technology, including service evolution, self-developed engine capabilities, and platformization practices. Gain insights into real-world solutions for data synchronization and heterogeneous system integration.
How to Build a Large-Scale API Hub
Explore building a large-scale API hub, covering API management, automated delivery, and lifecycle. Learn to address challenges in distributed organizations and add business value.
RocketMQ-MQTT in Xiaomi IoT: Implementation and Best Practices
Explore MQTT protocol implementation in Xiaomi IoT, covering architecture evolution, feature selection, disaster recovery, and future plans for enhanced IoT messaging capabilities.
Practice of Mass Data Flow in Mobile Cloud MQTT-RocketMQ Message Queue
Explore MQTT-RocketMQ Connect architecture for efficient IoT data flow to analysis centers. Learn containerization and mobile cloud implementation for massive data handling.
Construction Practice of Xiaomi Flink Real-Time Computing Platform
Explore Xiaomi's real-time computing platform construction, focusing on resource flexibility, cost-effectiveness, and usability. Gain insights into architecture, metadata management, and operational governance.
Apache Pulsar Current Limiting Principle and Application Practice
Explore Apache Pulsar's current limiting principles and application practices, focusing on ResourceGroup implementation and multi-cluster traffic management in cloud-native scenarios.
FlinkSQL's Field Lineage and Data Permission Solution
Explore FlinkSQL's field lineage and data permission solutions for real-time data warehouses. Learn to implement Atlas and Ranger-like capabilities without source code intrusion.
Apache Flink Stream Batch Adaptive Shuffle - Latest Progress and Future Plans
Explore Flink's latest Shuffle 3.0 architecture, featuring cloud-native design, stream-batch fusion, and adaptive capabilities for enhanced resource management and performance.
Bytedance's Parquet Format Optimization for Cost Reduction and Efficiency
Optimize Parquet file operations for big data efficiency. Learn binary copy techniques to enhance file overwriting, merge small files, and implement column-level TTL, boosting performance 10+ times.
Xiaomi HDFS Data Governance Practices and Evolution
Explore Xiaomi's HDFS data governance practices, focusing on hot and cold data tiered storage solutions. Learn about cold data analysis, S3 integration, and future plans for optimizing data management.
Bytedance Cloud-Native YARN Practice: Serverless YARN for Efficient Resource Management
Explore ByteDance's Serverless YARN solution for efficient cloud-native big data processing, improving resource utilization and enabling seamless migration of Hadoop ecosystem jobs.
Cloud-Native Solutions and Practices for Clickstream Data Analysis
Construye un sistema de análisis de datos de flujo autónomo y rentable utilizando prácticas nativas de la nube y Apache Kafka para optimizar productos y potenciar el crecimiento empresarial.
China Mobile Wutong Cloud Native Analytical Database Architecture
Explore China Mobile's Wutong Cloud Native Analytical Database architecture, designed for large-scale, elastic, high-performance, and cost-effective data warehousing in cloud environments.
Deux utilisations de l'apprentissage machine pour accélérer la résolution de problèmes de planification d'équipages aériens
Découvrez comment l'apprentissage machine accélère la résolution de problèmes complexes de planification d'équipages aériens grâce à deux méthodes innovantes d'optimisation assistée.
Consensus and Dissensus in Multi-population Multi-agent Systems
Explorez les jeux à champ moyen dans les systèmes multi-agents, en mettant l'accent sur les équilibres de Nash et les algorithmes d'apprentissage pour les scénarios de consensus et de dissensus.
Deep Statistical Solvers and Power Systems Applications
Explore deep learning applications in power systems, focusing on Graph Neural Networks to address topological changes and optimize grid operations through unsupervised learning.
A Tree-Search Heuristic for Stochastic Production-Distribution Planning with Transportation Mode-Dependent Lead Times
Explore a tree-search heuristic for stochastic production-distribution planning, optimizing costs and lead times across transportation modes. Gain insights into efficient problem-solving techniques for complex supply chain scenarios.
Global Optimization for Cardinality-Constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming
Explore global optimization techniques for cardinality-constrained minimum sum-of-squares clustering using semidefinite programming, focusing on exact algorithms and state-of-the-art approaches.
Decomposition Methods for the Unsplittable Flow Problem
Explore decomposition methods for the unsplittable flow problem in satellite constellations. Learn efficient algorithms for large-scale instances and dynamic scenarios, focusing on strengthening linear relaxations.