The article examines MatrixOne, a cloud‑native hyper‑converged database, detailing its storage‑compute separation, unified file service, resource isolation, HTAP streaming capabilities, and emerging serverless features, while outlining future directions such as CXL memory integration and broader cloud storage support.
CNStack 2.0 is a cloud‑native PaaS platform built on Kubernetes that unifies resource and workload management, offering agile, open, and secure multi‑cluster capabilities through modular cloud services, a unified API gateway, and integration with open‑source projects such as Sealer, Emissary‑Ingress, cert‑manager, Velero, and OCM.
This guide shows how to check certificate expiration in a Kubernetes cluster, renew all certificates using kubeadm, and verify the renewal, helping you resolve the “certificate has expired or is not yet valid” error.
This article analyzes Tencent Cloud’s DLC lakehouse solution, explaining the unified data lake‑warehouse architecture, the performance hurdles of object‑storage‑based analytics, and the multi‑dimensional caching, virtual‑cluster elasticity, and advanced filter techniques that enable second‑level analysis on petabyte‑scale data while reducing costs.
The article details the evolution, architecture, capabilities, challenges, and future plans of Vivo's comprehensive monitoring platform, covering its transition from simple Zabbix setups to a cloud‑native, AI‑ops enabled system that ensures service availability across massive infrastructure.
Manbang's logistics platform leverages a cloud‑native architecture built on Alibaba Cloud Flink and Hologres to deliver minute‑level real‑time data, feature computation, and decision‑making that dramatically improves SLA, reduces operational costs, and powers intelligent driver‑cargo matching across the ecosystem.
This comprehensive guide covers kubectl autocomplete, context configuration, object creation, resource viewing, updating, patching, editing, scaling, deletion, pod and node interaction, as well as the versatile kubectl set commands, formatted output options, and visual references for effective Kubernetes cluster management.
The Vivo Real‑Time Computing Platform, built on Apache Flink, delivers a one‑stop data construction and governance solution that processes up to 5 PB daily, offering high‑availability submission and control services, robust stability, rich SQL usability, efficient Kubernetes deployment, strong security, and supports real‑time warehouses and short‑video recommendation, while targeting future elastic scaling and lake‑house unification.
The article outlines vivo’s evolution from simple Zabbix monitoring to a self‑built, unified monitoring platform that now covers infrastructure, containers, databases and user experience at massive scale, integrating AI‑ops, cloud‑native observability and unified alerting to ensure end‑to‑end service reliability and future intelligent, one‑stop monitoring.
The article details how Tencent’s health‑code platform leveraged a cloud‑native, serverless architecture, extensive observability (Prometheus, Grafana, RUM), rigorous capacity testing, chaos engineering, and ITIL‑based change management to sustain billions of page views, support massive concurrency, and ensure reliable, scalable epidemic‑control services.
This article explains the Twelve‑Factor App methodology, detailing each of the twelve principles—codebase, dependencies, config, backing services, build/release/run, processes, port binding, concurrency, disposability, dev/prod parity, logs, admin tasks—and shows how they guide the design of scalable, cloud‑native backend services.
This article explains how to implement progressive delivery in cloud‑native environments using Higress as a unified gateway and Kruise Rollout for automated canary and A/B testing, providing step‑by‑step configurations, code examples, and practical deployment workflows to ensure zero‑downtime releases.
This article presents a comprehensive overview of widely adopted microservice technology stacks, including governance frameworks like Apache Dubbo and Spring Cloud Alibaba, CI/CD tools, container orchestration, and various application services, while also offering practical selection guidance for developers and product teams.
This presentation details the design, implementation, and performance evaluation of parallel query in Tencent's cloud‑native database TDSQL‑C, covering product overview, workload challenges, query‑level concurrency techniques, underlying execution models, scheduling framework, and future enhancements.
Vivo’s cloud‑native journey, detailed from its 2018 machine‑learning pilot to a large‑scale container ecosystem, showcases how high‑availability design, automated multi‑cluster operations, CI/CD pipelines, and unified traffic ingress have dramatically improved efficiency, reduced costs, and enabled rapid, scalable AI‑driven services across the business.
This article presents a comprehensive guide to microservice architecture evolution, covering routing, multi‑active deployment, gray releases, canary/rolling/blue‑green strategies, traffic shading, rate limiting, and practical implementation steps using cloud‑native gateways, service meshes, and Kubernetes labeling.
This article explores the three pillars of cloud‑native observability—metrics, logging, and tracing—detailing their definitions, relationships, and practical implementation with tools like Prometheus, ELK/EFK, and SkyWalking, while offering guidance on metric design, collection, visualization, and alerting.
This article details Alibaba Cloud's Flink Cluster Inspector, explaining the business challenges of hotspot machines, the analysis of resource over‑use, and the four‑stage solution—pre‑profiling, in‑process self‑healing, post‑recovery, and observability—that reduces latency, cuts costs, and improves operational efficiency.
Vivo’s Database‑as‑a‑Service platform tackles cloud‑native challenges by automating massive instance management with self‑service work orders and self‑healing, enabling elastic scaling through mixed‑deployment and multi‑threaded Redis tools, optimizing costs via automatic package shrinkage, and safeguarding personal data with full‑chain encryption, while outlining a roadmap toward AI‑driven fault handling, container‑based resources, and advanced privacy governance.
This article reviews Lindorm’s evolution from its HBase‑based 1.0 architecture to the cloud‑native 2.0 version, outlines 2022’s cost‑saving and efficiency challenges, details compression, storage, time‑series and SQL enhancements, and shares real‑world case studies demonstrating significant cost reductions and performance gains.
eBPF lets developers run custom, safe code inside the Linux kernel, enabling dynamic networking, load‑balancing, security policies, and observability without restarting services, and its integration with Kubernetes through tools like Cilium and XDP is revolutionizing cloud‑native deployments.
Learn essential techniques for designing fault‑tolerant microservices, including graceful degradation, change management, health checks, self‑healing, failover caching, retry strategies, rate limiting, circuit breakers, and testing failures, to ensure high availability and reliability in distributed cloud‑native systems.
The article explains the 10×‑better theory, introduces Dapr as a cloud‑native sidecar framework, and details how it improves productivity for developers, enhances security, resilience and observability for operators, and offers multi‑language, multi‑environment flexibility for architects, while also acknowledging its drawbacks.
This article revisits Adam Wiggins' 12‑Factor App methodology, explaining how each factor—from codebase and dependencies to logging and admin processes—has evolved and why these principles remain crucial for building reliable, scalable micro‑service‑based backend systems today.
This article explores the challenges of building a fault‑tolerant monitoring platform, compares open‑source solutions, details why Prometheus is preferred, and shows how to achieve high availability and horizontal scaling using Thanos, remote‑write, hash‑ring sharding, and Kubernetes integration.
A nationwide “Code to Space” competition, backed by Huawei Cloud, Beijing University of Posts and Telecommunications, and others, invited student teams to develop cloud‑native, AI‑driven satellite applications, resulting in award‑winning projects like CoStar that dynamically split neural‑network models between edge and cloud, boosting efficiency and reducing bandwidth.
The article explains why CTOs should adopt cloud‑native—gaining elasticity, cost savings, and rapid delivery—while acknowledging trade‑offs like provider lock‑in and security, and it details core technologies such as micro‑services, containers, Kubernetes orchestration, service meshes, observability tools, and DevOps practices for building resilient, scalable applications.
Serverless‑cd is an open‑source, serverless‑native CI/CD framework that solves traditional pipeline problems such as low resource utilization, queueing, poor isolation, and security risks by providing automatic elasticity, pay‑per‑use pricing, and zero‑ops management for developers focusing on business value.
This guide walks through ten frequent Kubernetes problems—from service access failures and port‑mapping errors to image pull issues and CrashLoopBackOff—explaining root causes, showing exact error messages, and providing concise command‑line solutions to restore cluster health.
To curb rising resource costs as Xiaohourshu scales, engineers built a Continuous Performance Optimization & Tracking Platform that continuously profiles services, stores diff‑analyzed data in ClickHouse, automatically detects tiny regressions, links them to code changes, and has already saved and flagged roughly 20,000 CPU cores across search, recommendation and advertising workloads.
This article details Zuoyebang's journey from a single‑cloud setup to a multi‑cloud, multi‑active architecture, covering business drivers, design principles, network planning, compute and storage strategies, traffic scheduling, container migration, operational management, and the measurable cost, stability, and efficiency benefits achieved.
An extensive kubectl cheat sheet walks you through command autocomplete, context configuration, object creation, resource querying, updates, patches, scaling, deletion, pod interaction, node management, and advanced set commands, complete with practical code snippets and essential images for mastering Kubernetes cluster operations.
Taobao’s 2023 Double 11 showcased a suite of technical breakthroughs—including a cloud‑native Tair database for massive cart capacity, AI‑driven logistics forecasting, industry‑first NeRF‑based 3D product modeling, high‑definition live‑streaming, and a real‑time interactive gaming framework—demonstrating how infrastructure innovation can transform e‑commerce experiences.
This article analyzes why microservice instances cause traffic loss during shutdown, outlines the standard deregistration flow, identifies latency and error windows, and presents three loss‑less shutdown strategies—pre‑stop deregistration, proactive client notification, and adaptive waiting—along with practical Spring Cloud and Dubbo implementations, large‑scale challenges, and observability techniques.
This collection highlights ByteDance’s evolution in cloud‑native technologies, covering their microservice runtime architecture, large‑scale computing practices, open‑source project creation, and container scheduling advancements, providing links to detailed articles for readers to gain deeper insight.
This article explains how to monitor Docker containers using built‑in commands such as docker ps, docker top, and docker stats, and introduces third‑party tools like Sysdig and Weave Scope, providing installation steps, usage examples, and tips for effective container and host monitoring.
This article explains how containers and Kubernetes Pods are implemented using Linux namespaces and cgroups, compares their isolation mechanisms, demonstrates practical experiments with Docker and minikube, and clarifies the relationship between Pods, sandbox containers, and shared resources.
Grafana Phlare is an open‑source, horizontally scalable continuous profiling database that integrates with Grafana, offering easy installation, multi‑tenant support, cheap object‑storage persistence, and both monolithic and microservice deployment modes, with detailed Helm‑based Kubernetes setup and usage instructions.
The article details Zhengcaiyun's government procurement cloud platform, its large‑scale architecture, migration to the domestically‑adapted Dragonfly operating system, integrated cloud‑native operations, observability built on OpenTelemetry, and ongoing efforts to enhance security, performance, and ecosystem collaboration.
The article details Zhengcaiyun's government procurement cloud platform, its large‑scale deployment architecture built on the Longxi OS, covering cloud‑native design, domestic adaptation, observability, and operational practices that enable high‑performance, secure, and scalable public procurement services.
This article recounts Ximalaya’s evolution from early Docker adoption to a mature cloud‑native deployment platform, detailing principles, custom tools such as barge and k8s‑sync, health‑check strategies, multi‑process management, and integration with existing middleware to achieve reliable, zero‑downtime service releases.
The article describes ShopeePay’s cloud‑native, high‑availability Naming Center built on sRPC, which replaces etcd with an in‑memory, peer‑to‑peer service registry that uses gossip heartbeats, self‑protection, and a coordinator for eventual consistency, rapid recovery, and seamless upgrades.
This article explains the concept of observability, why it is essential for cloud‑native gateway architectures, and provides step‑by‑step best practices—including metric selection, black‑box and white‑box monitoring, gray‑release handling, synthetic testing, and extending gateway data to business‑level observability.
This article surveys seven Docker alternatives—Podman, LXD, Containerd, Buildah, BuildKit, Kaniko, and RunC—detailing their architectures, key features, security models, and how they differ from Docker for container creation, management, and orchestration.
This article provides an overview of five leading observability solutions—Datadog, Grafana, Instana, New Relic, and Prometheus—detailing their core features, supported data sources, deployment models, and how they help teams monitor cloud‑native applications, infrastructure, and services to ensure reliability and performance.
Ford’s tech leaders Beckie Riss and Satish Puranam discuss how the automaker’s six‑year cloud‑native journey—spanning Kubernetes, Tekton, Knative, and a culture of curiosity—has reshaped development, accelerated delivery, and tackled the challenges of upskilling engineers and simplifying platform adoption.
This article explains why microservice architecture is preferred over monolithic applications, outlines a learning roadmap, and details essential concerns such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, distributed tracing, data persistence, caching, and cloud providers, with recommended tools for each.
The article explains how microservice architectures can achieve high availability by isolating failures, employing graceful degradation, change‑management strategies, health checks, fallback caching, retry logic, rate limiting, circuit breakers, and chaos testing, while acknowledging the added complexity and cost of such reliability engineering.
On September 10 2021, a Kubernetes cluster experienced intermittent kubectl hangs caused by kube-apiserver OOM kills, leading to cascading control-plane failures; this article details the environment, observed metrics, log analysis, code inspection of DeleteCollection, and provides troubleshooting steps to prevent similar incidents.
This article details the architectural evolution of China Telecom's Tianyi Account gateway, describing the migration from a Zuul‑based 1.0 system to a Kong‑driven 2.0 and 3.0 platform, the performance improvements, plugin ecosystem, cloud‑native deployment, and operational benefits achieved through each upgrade.
This article explains the technical reasons behind Kubernetes' decision to deprecate Docker, covering the introduction of the CRI shim, the rise of containerd, the phased removal of dockershim, and why Docker remains relevant in the cloud‑native ecosystem.
The article analyzes why most production failures stem from new version rollouts, examines a real e‑commerce microservice architecture, and presents detailed gray‑release strategies—including full‑link canary, logical isolation, and warm‑up mechanisms—to achieve zero‑damage upgrades in cloud‑native environments.
This chapter traces the evolution of enterprise technical architecture from monolithic to distributed, microservice, and middle‑platform models, illustrates Ziroom's ten‑year journey toward cloud‑native and DevOps practices, and analyzes the stability, efficiency, and process challenges encountered along the way.
This chapter outlines the evolution of enterprise technical architecture—from monolithic and distributed systems to microservices and cloud‑native platforms—illustrating the journey with Ziru's ten‑year architectural transformation, the challenges encountered, and the lessons for selecting appropriate architectures.
This tutorial walks you through the fundamentals of Zookeeper and Kafka, then provides detailed, code‑rich instructions for deploying both services on a Kubernetes cluster using Helm, configuring persistence, exposing ports, monitoring with Prometheus and Grafana, and finally cleaning up the installations.
This article explains the fundamentals and progress of Dubbo 3’s observability features, focusing on the Metrics module, its data model, collection, local aggregation using sliding windows and TDigest, and Prometheus‑based metric export, illustrating code snippets and architectural details for cloud‑native microservice monitoring.
The article examines how cloud‑native databases are reshaping the industry by combining historical database evolution, disruptive innovation, and Alibaba's PolarDB breakthroughs, illustrating why this shift is a strategic advantage over traditional database architectures.
Spring Cloud Alibaba 2021.0.4.0 upgrades core components—including Seata, RocketMQ, Sentinel, Nacos, Spring Boot, and Spring Cloud—adds new features, fixes bugs, and enhances stability, while providing Maven dependency management for seamless migration from 2021.0.1.0 to the latest release.
This article presents DeepFlow, an open‑source, highly automated observability platform that uses eBPF to provide zero‑code AutoMetrics and AutoTracing, integrates with Prometheus, OpenTelemetry and SkyWalking, and enables SRE, DevOps and NewOps teams to build full‑stack metrics and blind‑spot‑free tracing for cloud‑native applications.
The article summarizes Ant Group's 2019 QCon talk on how financial-grade cloud native architecture, distributed middleware, high‑availability databases, open data‑intelligence platforms, and talent development combine to enable scalable, secure, and AI‑driven services for modern fintech.
This article systematically explains enterprise‑level microservice governance and development, covering market‑driven challenges, evaluation criteria, a comparison of Dubbo, Spring Cloud, and Istio, and design principles such as Conway's Law to help organizations modernize their applications efficiently.
This article details the evolution of NetEase's self‑built time‑series database EyesTSDB into a cloud‑native, second‑level monitoring solution, covering its architecture, core features, integration with VictoriaMetrics, custom plugin workflow, CMDB linkage, real‑world use cases, and future challenges.
Baidu Intelligent Cloud’s new Cloud‑native AI 2.0 platform tackles AI engineering bottlenecks by offering hybrid‑parallel large‑model training, flexible GPU virtualization, and an AI Accelerate Kit that boosts training efficiency over 50 % and cuts inference latency up to 63 %, raising GPU utilization from ~13 % to about 50 %.
This article presents a comprehensive overview of Qunar Travel's microservice architecture, covering background motivations, best‑practice service discovery and communication patterns, development efficiency improvements, governance techniques, and ServiceMesh experiments, all illustrated with real‑world data and diagrams.
This article outlines a detailed cloud‑native curriculum covering why to learn cloud‑native technologies, the importance of Kubernetes, and a step‑by‑step series of lessons on Go language features, Docker core concepts, Kubernetes architecture, lifecycle management, Istio traffic control, multi‑cluster federation, security guarantees, and a microservices deployment case study.
The article explains how the deep integration of cloud‑native technologies and edge computing, driven by digital transformation, improves resource utilization, unifies infrastructure management, reduces AI workload costs, simplifies device access, accelerates deployment, and enhances autonomy and ROI for enterprises.
This article details the operational mindset, stability framework, and transformation journey of the Zuoyebang infrastructure team, covering service lifecycle management, standardization, cloud‑native architecture, multi‑active deployment, incident pre‑plan platforms, traffic scheduling, monitoring, capacity planning, and future directions for SRE service‑orientation.
The article introduces the ZuanZuan cloud platform, detailing its overall architecture, image management workflow that abstracts Dockerfiles, release‑upgrade strategies with custom controllers, container monitoring evolution to Prometheus, and log‑collection mechanisms that handle large Java‑based log volumes.
This article dissects the kube-scheduler component of Kubernetes v1.21, detailing its design, initialization, main scheduling loop, pre‑selection (Predicates) and prioritization (Priorities) algorithms, and key source‑code functions such as scheduler.New(), Run(), scheduleOne(), and the scheduling algorithm that binds Pods to Nodes.
This article details how Xingdou Cloud leverages cloud‑native techniques such as massive node overselling, custom HPA (SophonHPA), priority‑based QoS, intelligent cleanup, and quota management to achieve dramatic cost reduction and efficiency gains across its multi‑cloud platform.
In 2022, Suzhou Zhonglun Network migrated its entire microservice ecosystem—supporting over 3,000 services across 300 cities—from Dubbo 2 to Dubbo 3, leveraging Kubernetes‑native deployment, enhanced service governance, and instance‑level upgrade strategies to improve scalability, reliability, and resource utilization.
This article analyzes a September 2021 incident where a Kubernetes cluster’s kube-apiserver repeatedly OOM-killed, causing kubectl hangs, by examining cluster specs, monitoring data, logs, heap and goroutine profiles, and the DeleteCollection implementation, ultimately offering troubleshooting steps and preventive measures for control-plane stability.
This tutorial explains how to create a custom seven‑layer protocol for a service mesh by leveraging Aeraki Mesh and MetaProtocol Proxy, covering codec implementation, workspace configuration, compilation steps, and Kubernetes/Istio resources to enable traffic management for protocols like Dubbo and Thrift.
As markets become increasingly dynamic, companies must build real‑time infrastructure to gain timely insights, and this article explains the three real‑time analytics scenarios, the limitations of traditional stream engines, and how Skylab’s integrated cloud‑native platform and Omega architecture address those challenges.
Baidu's cloud‑native cost‑optimization platform combines dynamic resource overselling and online‑offline workload co‑location, leveraging visual tracking, profiling, and eBPF‑based quality monitoring to boost CPU utilization from 20% to 40% and deliver up to 30% cost savings while preserving service performance.
The article examines the evolution from monolithic to distributed systems, contrasts Spring Cloud with Kubernetes and Istio, explains how service‑mesh concepts like sidecar proxies decouple business logic from infrastructure, and discusses migration paths and the advantages of non‑intrusive, language‑agnostic platforms.
This article chronicles the architectural evolution of China Telecom's Tianyi Account gateway from its initial Zuul‑based 1.0 version through successive upgrades to a Kong‑powered 2.0 and 3.0 system, highlighting performance bottlenecks, technology selections, plugin development, CP/DP separation, cloud‑native deployment, and the resulting high‑concurrency capabilities.
The SmartIDE v1.0 release introduces a fully cloud‑native IDE with one‑command CLI deployment, complete Kubernetes mode, ARM processor support, team resource sharing, hybrid VSCode/JetBrains remote connections, WebTerminal, and GitLab CI pipeline integration, providing developers across Windows, macOS, and Linux with a versatile development environment.
This article explores the evolution and architecture of cloud‑native data platforms, covering their historical roots, modern components such as storage layers, ingestion, processing, metadata, and consumption, and offers practical guidance on selecting tools, designing pipelines, and implementing best‑practice strategies for scalable, flexible data infrastructure.
Alibaba Cloud’s Hologres unifies analytical and service workloads in a real‑time data warehouse, simplifying data exchange, reducing development and operational costs, and delivering high‑performance, low‑latency online services through innovations like row‑column hybrid storage, hot upgrades, and elastic cloud‑native scaling, as demonstrated in a logistics case study.
This article explains the concept of cloud native, tracing its evolution from early cloud computing to CNCF's 2018 definition, and explores key technologies such as containers, Kubernetes, microservices, service mesh, immutable infrastructure, and declarative APIs, while also highlighting modern cloud‑native services.
This article examines how F6 tackled growing stability demands by evolving from traditional ELK‑based logging to a cloud‑native observability stack that combines Grafana, Prometheus, eBPF, OpenTelemetry, and ARMS, illustrating practical steps, challenges, and lessons learned for modern microservice environments.
This article introduces Tencent Music's cloud‑native, one‑stop machine learning platform, detailing its engineering workflow, distributed acceleration, inference closed‑loop, edge computing capabilities, and future plans, while highlighting challenges of traditional ML pipelines and the platform's solutions for resource orchestration, storage, scheduling, and GPU utilization.
This article provides a detailed introduction to microservice architecture, tracing its evolution from monolithic to distributed services, and enumerates the essential technologies—including service communication, API gateways, authentication, fault‑tolerance, logging, configuration management, containerization, orchestration, and CI/CD—that enable building scalable, resilient cloud‑native systems.
In this interview, NetEase’s Curve project lead Wang Pan explains the architecture, block and file storage services, performance advantages over Ceph, management modules, ongoing CPU and I/O optimizations, deployment tooling, and the open‑source roadmap that positions Curve as a high‑performance, cloud‑native storage solution.
The document outlines SmartIDE’s open‑source cloud‑native IDE, its multi‑language support and tooling, and details a comprehensive development workflow that enables product teams and community contributors to work in parallel using Azure DevOps, GitHub, Gitee, Feishu, and automated CI/CD pipelines.
The article interviews Ant Group’s Trusted Native team, detailing their cloud‑native infrastructure roadmap—including middleware mesh, SOFAStack, secure container runtimes like Kata and MOSN, confidential‑computing platforms such as Occlum, HyperEnclave and KubeTEE—while highlighting open‑source strategy, security considerations, and productization efforts.
This article details Yelp's end‑to‑end migration of Kafka clusters from EC2‑based brokers to Kubernetes‑based PaaSTA services, covering architectural changes, automated tooling, risk mitigation, rollback procedures, and practical lessons learned from the deployment process.
ByteDance announced the open‑source KubeWharf project, a cloud‑native suite built on Kubernetes that includes high‑performance metadata storage (KubeBrain), a seven‑layer API gateway (KubeGateway), and a lightweight multi‑tenant solution (KubeZoo), detailing their features, roadmap, and the drive toward large‑scale, multi‑tenant cluster management.
This guide provides a comprehensive overview of kubectl, covering autocomplete setup, context and configuration management, creating, viewing, updating, patching, editing, scaling, and deleting resources, as well as interacting with pods, nodes, and clusters, plus advanced set commands and output formatting for effective Kubernetes operations.
The presentation explores the rapid growth of data, challenges of traditional on‑premise databases, and how cloud‑native solutions such as Amazon Aurora, Aurora Serverless, Aurora Global Database, and Babelfish for Aurora PostgreSQL provide high‑performance, scalable, and cost‑effective migration paths for modern applications.
This article provides an overview of real-time and offline integrated data warehousing, tracing its evolution from early offline warehouses to modern cloud-native solutions, and details the latest capabilities—including multi-engine computation, data sharing between MaxCompute and Hologres, progressive computing, materialized views, and practical use cases such as telecom analytics and connected‑car scenarios.
This article explains the fundamentals of Docker container technology, covering the role of Linux namespaces for process isolation, control groups for resource limiting, and UnionFS-based image layering, while providing practical command examples and code snippets for creating and managing containers.
This article explores the motivations, challenges, and design principles behind adopting a multi‑cloud active‑active architecture, emphasizing how it enhances stability, reduces costs, and improves efficiency, while detailing practical solutions for networking, compute, containers, service discovery, traffic routing, and data storage in a cloud‑native environment.
The fourth‑phase cloud‑native technology survey of central state‑owned enterprises collected 306 valid questionnaires across multiple industries, revealing growing IT budgets, widespread multi‑cloud adoption, high usage of containers and DevOps, and a strategic focus on stability, performance, and business innovation during digital transformation.
This article explains how cloud‑native microservice architectures achieve high availability by applying resilience techniques such as load balancing, timeouts with automatic retries, deadlines, and circuit breakers, and discusses implementation options using libraries or side‑car proxies.
This article analyses the rapid evolution of cloud‑native networking, identifies key challenges across traditional, data‑center, edge, multi‑cluster, financial, and telecom scenarios, and presents open‑source and commercial solutions such as Kube‑OVN, Underlay networks, flexible IPAM, and hardware‑software acceleration.
This article presents ten practical methods for hardening Kubernetes application manifests, covering securityContext settings such as runAsUser, privileged mode, capabilities, read‑only root filesystem, privilege escalation, Seccomp, resource limits, image tagging, and optional AppArmor/SELinux policies, to reduce attack surface during development and deployment.
This article traces the evolution of software architecture from monolithic to microservice models, outlines the advantages and drawbacks of each stage, and presents a detailed technology stack—including service communication, API gateways, authentication, distributed tracing, logging, configuration, containers, orchestration, and CI/CD—essential for building modern cloud‑native systems.
This article explains the technical details of how a serverless function compute platform provides exactly‑once task triggering semantics, covering message delivery models, system‑side failover handling, user‑side deduplication with TaskID, and a Go SDK example for reliable asynchronous job execution.
