This article provides a complete Nginx configuration example that proxies requests to an Alibaba Cloud OSS domain, adds the client’s real IP via the X-Real-IP header, enables gzip compression, and includes detailed comments and logging settings.
This article explains the roles of load balancers and API gateways, compares their layer focus, features, and performance, and outlines when to use each in microservice architectures, API management, and high‑throughput network entry points.
The panel discusses the three‑stage evolution of data platforms, compares US and Chinese market dynamics, evaluates Snowflake’s success factors, and outlines the criteria and opportunities for a China‑specific Snowflake‑like solution, while also sharing investment perspectives on data‑driven startups.
The article summarizes Microsoft Build 2023 highlights, detailing Azure OpenAI Service's GA and new plugins, enterprise data integration via vector search, Microsoft Fabric's OneLake data lake, Windows Copilot features, and the Copilot Stack architecture that enables developers to build AI‑powered Copilot applications.
This article reviews the fifteen Python packages with the highest download counts on PyPI over the past year, explaining each library's purpose, key features, typical use‑cases, and providing code examples to illustrate how they simplify tasks such as HTTP requests, compatibility, cloud interaction, configuration, security, and data handling.
The article explains what open‑source databases are, compares community and commercial editions, examines licensing models, reviews major vendors' adoption (Oracle, Microsoft, Amazon, Google), and discusses recent governance disputes and the impact of hybrid licensing on the database ecosystem.
The article forecasts rising enterprise application integration spending, outlines challenges of integrating cloud, mobile, social, and data services, and provides strategic steps—including budgeting, organizational agility, technology selection, and deployment models—to guide successful integration initiatives across on‑premise, cloud, and B2B environments.
Apache OpenWhisk is an open‑source, distributed serverless platform that runs functions in Docker containers, supports multiple programming languages, can be deployed on various cloud or on‑premise environments such as Kubernetes, and offers seamless integration with popular services, scalable execution, and resource‑efficient operation.
The presentation outlines the evolution of lean management, the characteristics and expectations of the cloud era, and the practical implementation of BizDevOps at China Merchants Bank, detailing the 1‑3‑5 framework, goals, capabilities, key practices, and the bank's cloud adaptation strategy.
This article provides a detailed comparison of nine popular log management solutions—Filebeat, Graylog, LogDNA, ELK Stack, Grafana Loki, Datadog, Logstash, Fluentd, and Splunk—covering their core features, pricing models, advantages, and drawbacks to help readers choose the right tool for centralized logging.
This talk explains how Huawei Cloud’s digital travel mobile app evolved from native to hybrid development, evaluates frameworks like React Native, addresses performance and hot‑update challenges, and outlines practical solutions and future roadmaps for efficient, customizable enterprise travel solutions.
Infrastructure as Code (IaC) is a DevOps practice that defines, creates, and manages infrastructure through machine‑readable code, offering reproducibility, efficiency, collaboration, cost savings, and flexibility, while also presenting challenges such as a steep learning curve, dependency management, potential code errors, drift, and initial costs.
This article details the background, migration plan selection, and step‑by‑step procedures—including pre‑building cascades, service pause, automated batch operations, cluster tiering, pre‑ and post‑checks, and gray‑scale validation—to achieve a fast, stable MySQL data‑center migration for a large‑scale production environment.
This article examines the essential considerations for selecting a modern data warehouse—including data volume, staffing, scalability, and pricing models—while comparing on‑premise and cloud solutions such as Redshift, BigQuery, and Snowflake to help organizations make informed decisions.
This article details how Hulu's Beijing engineering teams prepared, scaled, and operated the live streaming infrastructure for the 2024 Super Bowl, handling a 20% traffic surge with advanced load‑testing, auto‑scaling, and coordinated on‑call support to ensure a flawless broadcast.
This article outlines the key practices and considerations for evaluating modern CI/CD and DevOps capabilities, covering cloud adoption, organizational design, microservice architecture, automated pipelines, testing strategies, security, release frequency, and immutable infrastructure to help teams achieve fast, reliable software delivery.
A former CTO recounts how building a microservice‑based backend, web portal, and mobile apps for a startup led to costly complexity and eventual failure, and explains how adopting Supabase could have simplified architecture, reduced vendor lock‑in, and saved time and resources.
The 2022 H1 Chinese cloud market report reveals that Alibaba Cloud leads the IaaS and IaaS+PaaS segments, Amazon ranks second, while Huawei and Tencent hold third places, with overall market size reaching 1.956 trillion yuan and growth slowed by macro‑economic uncertainty, prompting a shift toward refined multi‑cloud ecosystems.
This article explains how to maintain a DevOps environment by implementing comprehensive monitoring, handling fault detection and performance metrics, automating alerts in a continuously changing cloud landscape, and integrating NOC and MSP practices for 24/7 reliability and efficient incident response.
This article explains the Lakehouse concept, why it is needed, the limitations of traditional data warehouses and data lakes, and how Databricks’ unified architecture—through open storage formats, fine‑grained governance, and optimized query engines—delivers high‑quality, low‑latency data for BI, analytics, and machine learning workloads.
This article explains the core concepts, differences, and benefits of Infrastructure as Code (IaC), infrastructure provisioning, and configuration management, and introduces popular tools such as Terraform, Ansible, and CloudFormation while highlighting best‑practice workflows for DevOps engineers.
This article presents a comprehensive, three‑part guide on the current state of full‑stack operations monitoring, common challenges and solutions, and a real‑world use case, illustrating how Alibaba Cloud Elasticsearch can improve observability, boost performance, and cut costs for complex distributed systems.
This article explains the fundamental concepts of data warehouses and data lakes, compares their architectures and use cases, discusses common misconceptions, highlights real‑world examples such as Facebook, and outlines the challenges and strategic considerations for organizations adopting both technologies.
This article describes the background, design decisions, architecture, core concepts (Serverless, BFF, FAAS), implementation details, performance results, and future plans of the internally built Seras platform that enables front‑end teams to write cloud functions without managing servers, improving code reuse, traceability, and deployment speed.
The article analyzes the Chengdu COVID‑19 testing system failure, outlining its architecture, estimating traffic, identifying infrastructure and software bottlenecks, and recommending sharding, message‑queue decoupling, comprehensive monitoring, and multi‑vendor coordination to build a more reliable backend platform.
Netflix delivers billions of hours of video by compressing and transcoding raw movies into multiple formats, splitting them into small chunks processed in parallel on AWS, storing them in S3, and distributing them via its custom Open Connect CDN to ensure low‑latency, high‑quality playback worldwide.
This article reviews Sun DaPeng's presentation on Alibaba Cloud's open‑source big data platform, covering the rapid growth of data, the evolution of storage architectures from HDFS to cloud‑native data lakes, and the detailed JindoData solution—including JindoFS, JindoFSx, and JindoSDK—that delivers high‑performance, cost‑effective storage for modern analytics workloads.
This article outlines six key software architecture principles—including reuse before build, cloud‑first design, scalability, simplicity, API‑first strategy, and frequent small releases—to help teams create cost‑effective, maintainable, and future‑proof applications.
The article explains the concept of real‑time data warehouses, traces their evolution from early relational databases to modern streaming‑batch engines, discusses whether they are products or solutions, outlines typical application scenarios, selection criteria, and future trends in the big‑data ecosystem.
This article details the evolution of monitoring technologies, HuoLala's three‑phase monitoring architecture, the integration of Prometheus, VictoriaMetrics and SkyWalking, zero‑intrusion bytecode instrumentation, full‑link trace sampling, visual dashboards, metric‑trace‑log correlation, and future plans for root‑cause analysis and intelligent alerting.
Starlink is JD Tech's low‑code, serverless platform that streamlines backend service development, deployment, and operations by offering visual microservice (VMS) creation, declarative Serverless deployment, and extensive integration capabilities, dramatically boosting efficiency and reducing costs across diverse business scenarios.
The article uses a series of relationship‑based analogies to explain fundamental system‑architecture concepts such as cold backup, hot standby, disaster recovery, load balancing, multi‑cluster scaling, CDN, DDoS protection, IDS/IPS, SIEM, VPN, reverse engineering, stress testing, data analysis, parallel computing, big‑data processing, containerization, virtualization, and more, while also providing promotional links to related resources.
This article uses a simulated Taobao example to illustrate how a simple MVP monolithic architecture evolves through ten stages—from separating Tomcat and database to adopting caching, load balancing, database sharding, microservices, ESB, containerization, and cloud platforms—highlighting the technologies and design principles involved in each transition.
This article explains the key challenges of cloud development—data management, design and implementation, and messaging—then presents a detailed catalog of cloud design patterns, each with problem statements, Azure examples, and categories such as reliability, security, and performance efficiency.
The article explains data replication concepts, processes, and technologies across storage hardware, operating system, and database layers, outlines synchronous, asynchronous, and hybrid methods, discusses industry applications, trends such as hardware‑software decoupling, cloud replication, and big‑data real‑time copying, and highlights challenges and future directions.
This article details how Ant Group's npmmirror.com handles massive traffic with a distributed backend, introduces the open‑source cnpmcore registry, explains its bug‑versions safety features, migration strategies, and how enterprises can customize the service using TypeScript, tegg and DDD principles.
This article explains DataOps and its role in modern ETL pipelines, outlines the benefits of DataOps for efficiency and reliability, and provides a detailed roadmap and best‑practice guidelines for planning, implementing, and optimizing DataOps‑driven ETL in cloud‑native environments.
This article provides an in‑depth overview of Infrastructure as Code (IaC) for DevOps, explaining its definition, business advantages, implementation approaches, common challenges with solutions, practical use cases, and a comparison of leading tools such as CloudFormation, Puppet, Ansible, Terraform, and Chef.
MongoDB is evolving from a purely operational document store to a hybrid system that embeds native analytics, cloud‑native features, and SQL access, aiming to boost developer productivity, support real‑time insights, and complement rather than replace traditional data warehouses.
This article details Huolala's journey from a fragmented monitoring stack to a unified, AI‑enhanced observability platform, covering AIOps concepts, the design of a comprehensive monitoring framework, concrete implementation of metrics, tracing, logging, alerting, and lessons learned for large‑scale operations.
This guide walks through creating an Nginx deployment on Kubernetes, exposing it via a NodePort service, generating the corresponding YAML configuration, performing dynamic scaling tests, and using various kubectl commands to manage resources and namespaces.
This article traces Taobao's server‑side architecture evolution—from a single‑machine setup to distributed caching, load‑balancing, database sharding, microservices, containerization, and finally cloud‑native deployment—highlighting the technical challenges and design principles at each stage.
This article uses Taobao as a case study to trace the evolution of a high‑performance backend architecture from a single‑machine setup to a cloud‑native, micro‑service ecosystem, highlighting the technical challenges and design principles at each scaling stage.
This article walks through the step‑by‑step evolution of Taobao’s backend architecture—from a single‑machine deployment to distributed caching, load‑balancing, database sharding, micro‑services, and finally cloud‑native solutions—explaining the technologies introduced at each stage, the performance bottlenecks encountered, and the design principles that guide large‑scale system construction.
This article explains what DevSecOps is, why traditional security approaches no longer suffice in fast‑paced software delivery, outlines its key advantages such as risk control and cost reduction, and provides detailed guidance on organizational, process, and technology practices—including tool recommendations and CI/CD pipeline integration—to embed security throughout the software lifecycle.
This article explains the design and operation of an external resource manager that improves overseas e‑commerce service stability by employing CDN, local memory, and disk caches, detailing access methods, cache mechanisms, CDN configurations, and practical use cases such as Google Fonts and translation integration.
This article describes how a team tackled stability and performance problems in a SolrCloud‑based search and recommendation stack serving 150,000 requests per minute, detailing root‑cause analysis, memory and GC tuning, replica configuration changes, and the resulting reductions in latency, resource usage, and operational complexity.
Google I/O 2022 unveiled a suite of Firebase updates—including major Crashlytics changes, new Stripe, SnapChat, Stream, Typesense, and RevenueCat extensions, enhanced Hosting, Flutter plugins, Swift support, AppCheck, App Distribution, and Performance Monitoring—empowering developers to build faster, more secure, and richer mobile and web applications.
The article presents a comprehensive overview of Lianyou Technology's car IoT platform, detailing its four‑layer architecture, configurable data ingestion, hybrid cloud storage solutions, real‑time and offline data warehouses, and downstream data applications such as user operation, intelligent recommendation, and data security practices.
The article examines Alibaba Cloud's DNS operation platform, detailing its three‑stage evolution—standardization, automation, and intelligent automation—and how these practices achieve sub‑10 ms latency stability, zero‑downtime fault isolation, and scalable reliability for billions of daily queries.
This article traces Taobao’s architectural evolution—from a single‑machine setup to distributed clusters, caching layers, load‑balancing proxies, database sharding, microservices, ESB, containerization, and finally cloud‑native deployment—highlighting the technologies and design principles that enable scaling from hundreds to tens of millions of concurrent users.
This article outlines the step‑by‑step evolution of a high‑traffic e‑commerce backend—from a single‑machine setup to cloud‑native microservices—illustrating the technologies and design principles needed to scale from hundreds to tens of millions of concurrent users.
This article introduces FaunaDB, explains how to create a free account and access key, and provides a step‑by‑step Python tutorial that demonstrates creating a collection and performing all CRUD operations with concise code examples.
Using Taobao as a case study, this article traces the step‑by‑step evolution of a high‑traffic backend—from a single‑machine setup through database sharding, caching, load balancing, microservices, containerization, and finally cloud deployment—highlighting the technologies and design principles that enable scaling to millions of concurrent users.
This article provides a comprehensive guide on selecting and structuring a backend technology stack for startups, covering language choices, core components, processes, system integration, and practical recommendations for cloud services, databases, RPC frameworks, monitoring, and deployment pipelines.
This article uses Taobao as a case study to trace the step‑by‑step evolution of a high‑traffic backend system—from a single‑machine setup through caching, load balancing, database sharding, microservices, ESB, containerization, and finally cloud‑native deployment—while highlighting the key technologies and design principles at each stage.
This article examines the major Java trends for 2022, including the push to migrate from Java 8 to newer LTS releases, improved cloud and container support, multi‑platform advancements, security lessons from Log4Shell, and upcoming features in Java 18.
This guide explains three Elasticsearch migration approaches—COS snapshots for large datasets, Logstash for flexible full or incremental transfers, and elasticdump for small‑scale migrations—detailing setup steps, version compatibility, command examples, and when to choose each method.
This article outlines the step‑by‑step evolution of Taobao's backend architecture—from a single‑machine setup to distributed clusters, caching, load balancing, database sharding, microservices, containerization, and finally cloud‑native deployment—highlighting the technologies and design principles involved at each stage.
This article details China Mobile (Suzhou) Software Technology's evolution from Storm to Flink for real‑time computing, its multi‑version engine and log‑retrieval designs, signal‑business data pipeline optimizations, stability practices around ZooKeeper, and future directions in resource scaling and data‑lake integration.
This guide outlines a comprehensive, three‑stage IPv6 migration roadmap—including network upgrades, DNS/HTTPDNS redesign, security hardening, cloud and CDN adaptation, and mobile/app adjustments—to achieve full IPv6‑only support across infrastructure, services, and end‑users while ensuring seamless performance and security.
This article explores how PHP applications can adopt serverless architectures, detailing the benefits of Function-as-a-Service, migration strategies, code examples, and operational considerations such as scaling, persistence, and cost efficiency for enterprises, developers, and learners.
Open source databases are freely available software whose source code can be read, modified, and redistributed, and the article explores their licensing models, commercial versus community editions, major vendors' adoption strategies, emerging database types, and the governance and licensing challenges faced by the ecosystem.
The article outlines a comprehensive backend architecture for handling million‑level daily active users, covering DNS routing, L4/L7 load balancing, monolithic versus microservice deployment, caching, database sharding, hybrid‑cloud deployment, elastic scaling, and multi‑level degradation strategies to ensure high availability under sudden traffic spikes.
The article provides a comprehensive overview of the ARM ecosystem in 2021, covering its business model, key partnerships, automotive and AI applications, new Cortex and Neoverse processors, Chinese ARM core families, cloud deployments, and the strategic moves of major technology companies.
A group of e‑commerce engineers share their real‑world experiences on selecting technologies, designing architectures, handling rapid growth, and avoiding common mistakes when building a new online store from scratch, offering practical guidance on infrastructure, DevOps, and team organization.
The article explains how hyper‑converged data center networking, driven by AI‑era demands for zero‑packet loss, ultra‑low latency, and high throughput, replaces traditional separate networks with a unified Ethernet‑based solution that simplifies operations, reduces cost, and enhances performance.
This article explains the functional purpose, layered and cluster designs, distributed architecture, caching strategies, asynchronous checks, storage heterogeneity, payment solutions, and anti‑bot mechanisms of a cloud‑based shopping cart, highlighting stability, high performance, elasticity, and fault‑tolerance.
The latest Modern.js release adds Windows platform support, provides ready‑to‑use deployment capabilities—including built‑in web server, CDN upload to Alibaba Cloud OSS or Tencent COS, and static hosting—and outlines usage examples, configuration steps, changelog details, and upgrade guidance.
This article traces the rise of Elasticsearch as the leading full‑text search engine, explains the licensing changes that sparked conflict with cloud providers, outlines the emergence of OpenSearch as a fork, and compares the strategic choices available to users and vendors today.
The article reviews the rapid rise of fusion communication driven by 5G, AI, AR/VR, and cloud technologies, detailing trends, global routing, video and audio AI innovations, and cross‑platform network library practices presented at the AI‑Era Fusion Communication session of QCon 2021.
Over the last year since its 1.0 release, Deno has secured $4.9 million seed funding, formed a company, launched the Deno Deploy (a free cloud hosting service with specific request, CPU, memory, and size limits), and continues to evolve as an MIT‑licensed alternative to Node.js.
The article analyzes the rapid growth of the global data‑intensive HPC market, driven by AI and high‑performance data analysis workloads, outlines shifting storage demands, cloud‑HPC adoption, and the technical challenges and opportunities for future HPC storage architectures.
The article summarizes major insights from three recent DevOps studies—Puppet's 2021 State of DevOps, the DevOps Institute's 2020 Upskilling Report, and Google DORA's 2021 Report—highlighting the roles of automation, cloud adoption, culture, documentation quality, and performance metrics in successful DevOps transformations.
The 2021 DORA Accelerate State of DevOps report, based on responses from over 32,000 professionals, reveals new performance metrics, the impact of SRE and security supply‑chain practices, cultural factors affecting burnout, and how cloud adoption continues to drive higher software delivery and organizational performance.
The 2021 Accelerate State of DevOps report by Google DORA, based on over 32,000 professionals, reveals that elite teams dramatically outperform low‑performing teams across four classic delivery metrics, introduces a new reliability metric, and highlights the impact of team culture, SRE practices, cloud adoption, secure software supply chains, and high‑quality documentation on software delivery and organizational performance.
The article explains the problems of manual cloud resource provisioning, introduces Terraform's Infrastructure as Code approach, describes a company-specific workflow using a front‑end request portal, GitOps, and Mobius automation, and outlines how to import existing resources and perform bulk exports with Terraformer.
This article presents a detailed guide on building a startup backend architecture, covering language choices, core components, development processes, system tooling, and practical selections for project management, DNS, load balancing, CDN, RPC frameworks, databases, messaging, logging, monitoring, configuration, deployment, and security.
This article examines essential considerations such as data volume, personnel support, scalability, and pricing models when selecting a data warehouse solution, comparing on‑premise options with modern cloud services like Redshift, BigQuery, and Snowflake for various workload sizes.
This roundup covers Zoom's $100 million development fund investments, Docker Desktop's new subscription pricing, Databricks' $1.6 billion Series H financing, HashiCorp's multi‑cloud strategy survey, the KVSSD storage paper, and the upcoming Kubernetes Community Days in China.
This article shares a developer’s journey from spending on domains and servers to mastering deployment, covering domain registration, DNS configuration, SSL, Linux commands, server panels, and how to monetize the skills while offering a step‑by‑step guide for newcomers to use a server effectively.
Following the US Supreme Court's decision that Google's use of Java APIs in Android is lawful, Microsoft announced the preview of its Microsoft Build of OpenJDK, a free, long‑term‑support Java distribution aimed at Azure users and developers.
This article outlines a complete backend technology stack for startups, covering language choices, core components, processes, systemization, and detailed selections for project management, DNS, load balancing, CDN, RPC frameworks, service discovery, databases, messaging, logging, monitoring, configuration, deployment, and operational best practices.
This guide outlines a comprehensive backend technology stack for startups, covering language choices, core components, development processes, infrastructure services, database options, monitoring, CI/CD, and operational best practices to help teams design, select, and implement a reliable server-side architecture.
The article reviews modern application‑architecture trends, explains why traditional three‑tier designs are insufficient for cloud, mobile, social and big‑data environments, and proposes service‑oriented, micro‑service, event‑driven and open‑computing approaches together with architectural paradigms, models and organizational considerations.
This article outlines the design principles, layered and cluster architecture, technical requirements, caching strategies, and payment integration of a cloud‑based shopping cart system, highlighting how distributed backend components ensure stability, high performance, elasticity, and anti‑fraud measures.
This article traces the evolution of a high‑concurrency backend architecture from a single‑machine setup to cloud‑native microservices, detailing ten‑plus stages such as separating Tomcat and DB, adding caches, load‑balancing with Nginx/LVS, read‑write splitting, sharding, containerization, and finally deploying on public cloud, while also summarizing key design principles.
This article outlines a comprehensive backend technology stack for startups, covering language choices, core components such as project management, DNS, load balancing, CDN, RPC frameworks, service discovery, relational and NoSQL databases, messaging middleware, logging, monitoring, CI/CD, configuration, deployment, and operational best‑practice recommendations.
The article explains the purpose, layered and cluster designs, distributed technical architecture, caching strategies, asynchronous checks, storage heterogeneity, payment solutions, and anti‑scalper mechanisms of a cloud‑based shopping cart, highlighting stability, high performance, elasticity, and fault‑tolerance requirements.
This article explains the inner workings of Spring Cloud's RefreshScope, detailing its source code, registration process, refresh endpoint activation, event-driven refresh mechanism, and how beans annotated with @RefreshScope or @ConfigurationProperties are dynamically reloaded without restarting the application.
This article outlines a systematic approach for startups to choose a complete backend technology stack, covering language selection, core components, development processes, system management, and practical recommendations for each layer such as databases, messaging, monitoring, CI/CD, and cloud services.
Learn step-by-step how to upload your IntelliJ IDEA configuration to the cloud, synchronize it on another machine, enable auto-sync, resolve common plugin issues, and ensure your custom settings like keymaps are consistently applied across installations.
This guide explains step‑by‑step how to upload your IntelliJ IDEA configuration to the cloud, synchronize it on another machine, enable auto‑sync, adjust specific settings, and troubleshoot common plugin issues, using the built‑in Settings Repository and VCS sync features.
This newsletter compiles the most important updates from June 2021 across RDBMS, NoSQL, NewSQL, time‑series, big‑data, domestic and cloud databases, highlighting new versions, major features, performance improvements and security enhancements for products such as Oracle 21c, MySQL 8.0.24/8.0.25, PostgreSQL 14 Beta, TiDB 5.0, OceanBase V3.1 and many others.
This presentation by NetEase senior SRE Jin Chuan details the current state of NetEase's big data platform, introduces the internally built EasyOps management system, explains a generic Ansible‑based operation framework, describes Prometheus/Grafana monitoring and alerting, and shares practical lessons on network, storage, and cloud migration for large‑scale Hadoop services.
iQIYI’s AI‑powered workflow automatically detects and tags clue fragments in its immersive deduction show “萌探探案,” enabling viewers to click on‑screen clues while smart loading pre‑downloads assets for seamless playback, dramatically cutting production cost and merging film with interactive gaming experiences.
This article recounts a Tencent front‑end engineer’s QCon 2021 talk on upgrading to a serverless‑based full‑stack development model, covering business motivations, the SCF implementation process, migration to TKE, tooling, DevOps practices, cost optimization, and future technical directions.
This article outlines a comprehensive backend technology stack for startups, detailing four layers—languages, components, processes, and systems—and provides practical guidance on selecting project management tools, DNS, load balancers, CDNs, RPC frameworks, databases, messaging, logging, monitoring, configuration, deployment, and security solutions.
This article provides a comprehensive guide for startups on choosing and assembling a backend technology stack, covering language choices, core components such as project management, DNS, load balancing, CDN, RPC frameworks, service discovery, databases, NoSQL, messaging, logging, monitoring, configuration, deployment, and operational best‑practice recommendations.
This guide outlines the essential components of a startup’s backend architecture, covering language choices, middleware, databases, messaging, monitoring, CI/CD, and deployment, and provides practical recommendations for selecting open‑source and cloud services to build a reliable, scalable system from scratch.
