This article explains how to choose and design persistence solutions for iOS apps, covering NSUserDefaults, Keychain, file storage, databases, isolation between persistence and business layers, multithreading, and the Virtual Record pattern implemented via DataCenter and CTPersistance.
The article outlines the purposes, architecture, data ingestion, storage, analysis, sharing, application, real‑time processing, scheduling, monitoring, and best‑practice recommendations for building a fast, flexible, and reliable big‑data platform in the fast‑changing internet industry.
This article presents a comprehensive overview of PostgreSQL, covering its history, architecture, core features, step‑by‑step lab exercises for database creation, CRUD operations, configuration tuning, performance monitoring, backup and recovery, Hot Standby replication, PGPOOL clustering, and a curated Q&A session addressing common DBA challenges.
This guide explains how to monitor MySQL's Query Cache using the 'SHOW GLOBAL STATUS' command, interprets key metrics such as Qcache_hits, Qcache_inserts, and Qcache_free_memory, and shows how to assess cache fragmentation and calculate hit rates for performance tuning.
The article analyzes how traditional telecom operators must transform their hardware‑centric models by embracing cloud, virtualization, SDN/NFV, big‑data analytics, and new competitive pressures from OTT services, software‑based SIMs, and virtual operators to stay relevant in the evolving ICT landscape.
This article outlines a complete industrial machine‑learning workflow—starting with problem modeling, through data preparation, feature extraction, model training, and ending with model optimization—illustrated with a real‑world DEAL revenue‑prediction case and practical tips for handling data, features, and model selection.
This article explains the Extract Method refactoring technique, its definition, benefits, and step‑by‑step PHP examples that show how to split a long method into smaller, well‑named methods, improving readability, reusability, and adherence to the Single Responsibility Principle.
This article details Uber's rapid growth and the engineering choices behind its real‑time dispatch platform, covering geospatial indexing, microservice architecture, scaling techniques like Ringpop and TChannel, and strategies for availability and fault tolerance.
The article examines why enterprises should consider NoSQL over Hadoop for big data storage, compares the three leading NoSQL databases—MongoDB, Cassandra, and HBase—based on market popularity, technical strengths, scalability, and use‑case suitability, and concludes with guidance on selecting the most appropriate solution.
This article provides a step‑by‑step configuration example for a router, detailing external and internal interface settings, NAT server and static NAT rules, outbound NAT policies, and corresponding ACLs to control traffic between multiple subnets.
This talk shares the experience of a small machine‑learning team at Dangdang, describing how they built a recommendation system from scratch, the tools and processes they used, the challenges of limited personnel, and the many pitfalls they encountered while iterating toward a production‑ready solution.
This article explains why the Linux I/O subsystem is the slowest part of the system, describes page‑level disk access, major and minor page faults, the file buffer cache, page types, write‑back mechanisms, monitoring tools, and practical tips for reducing I/O latency.
Chris Burges recounts Microsoft’s transition from the early “Flying Dutchman” system to RankNet and finally to Boosted Decision Trees, explaining how fast experimentation, LambdaRank/MART innovations, and large‑scale data handling have dramatically improved Bing’s search ranking accuracy and efficiency.
The article critically examines how the DevOps and full‑stack trends, driven by startup culture, force developers to juggle multiple roles, leading to overwork, reduced focus, and higher costs, while also highlighting nine companies that successfully practice DevOps.
This guide explains the essential MySQL cache parameters—including key_buffer_size, table_cache, sort_buffer_size, read_buffer_size, join_buffer_size, thread_cache_size, query_cache_size, and tmp_table_size—detailing their impact on performance and providing recommended values based on server memory to help DBAs optimize MyISAM and InnoDB workloads.
This article traces the evolution of Weibo’s recommendation architecture across three major phases—independent 1.0, layered 2.0, and platform‑centric 3.0—detailing the environmental drivers, technical components, advantages, shortcomings, and key outcomes of each stage.
This article compares the evolution of iOS and Android user interfaces, highlighting iOS's focus on simplicity and Android's shift toward Material Design, and concludes that elegant, user‑friendly design ultimately wins users' hearts across both platforms.
The article explains why enterprises need a unified Single Sign-On (SSO) system, detailing its benefits for user convenience, administrator workload reduction, security improvements, and integration standards, while comparing cookie‑ and session‑based implementations and illustrating the CAS open‑source solution.
This article explains how Linux's Page Frame Reclaim Algorithm categorizes pages, uses kswapd and pdflush threads, and relies on vmstat parameters to manage virtual memory, illustrating the process with examples and key configuration settings.
This article details the design, implementation, and performance of Lushan, a high‑throughput offline static data storage server built with libevent that supports dynamic library mounting, key‑value indexing, and efficient query handling for large‑scale recommendation workloads.
