This article explains how to create a Webman plugin that integrates Nacos for configuration management, covering design goals, implementation details, code examples, problem fixes, and service load‑balancing strategies for both client and provider sides.
This tutorial explains the concepts of service registration and discovery in microservice architectures, introduces Nacos as a dynamic registry, and provides step‑by‑step PHP code for registering providers and discovering services using the Webman framework, including persistence and clustering considerations.
This guide explains what Nacos is, its core features such as service registration, dynamic configuration, and DNS services, and provides step‑by‑step instructions for installing the webman‑nacos plugin, configuring Nacos, writing PHP code to read configurations, and using dynamic listeners and version rollback.
LApiGateway is Huolala's custom Java-based microservice gateway built on Spring Cloud Gateway, featuring service discovery via Consul, centralized configuration, a rich plugin system, DSL-driven routing, high‑availability designs like physical and service isolation, gray‑scale migration, traffic pre‑warming, and adaptive load balancing to ensure stable, efficient API management.
This article explains Nacos's architecture, the principles of service registration and discovery, how Spring Cloud integrates Nacos through auto‑configuration and event listeners, and details the registration, heartbeat, and dynamic address update mechanisms used by Nacos servers and clients.
This guide introduces Spring Cloud Tencent, a one‑stop microservice solution that integrates Spring Cloud with Tencent's Polaris service discovery, and provides step‑by‑step instructions—including building the project, adding dependencies, configuring application.yml, and running the application—to quickly set up a functional Spring Cloud Tencent service.
This article introduces microservices as a lightweight, autonomous architecture, compares it with monolithic and SOA approaches, outlines the complexities it brings, and reviews the most common open‑source solutions, registration and configuration centers, remote‑call mechanisms, resilience patterns, load‑balancing algorithms, tracing, and monitoring tools.
This guide introduces Spring Cloud, explains its core features such as configuration management, service discovery, circuit breaking, and distributed tracing, and walks through creating a simple microservices system with a config server, Eureka server, user service, and order service using Java and Spring Boot.
This article explains the origins of service registration and discovery in microservice architectures, outlines the core problems they solve, describes their key characteristics, and compares implementation approaches such as DNS, Zookeeper, Dubbo, and Eureka, highlighting the differences between Zookeeper and Eureka through the CAP theorem.
Microservice design patterns provide proven solutions for common challenges such as service decomposition, communication, governance, and testing, and this article introduces ten key patterns—including API Gateway, Service Discovery, Circuit Breaker, Bulkhead, CQRS, Event‑Driven, Saga, Strangler, Sidecar, and BFF—to help build efficient, reliable, and scalable systems.
This tutorial explains Prometheus service discovery types, why automatic discovery is essential, the scrape lifecycle, and provides step‑by‑step demos of file‑based discovery, Consul registration via Docker‑Compose, JSON API, and command‑line methods with full configuration examples.
This article explains the principles and practical steps for implementing graceful startup and shutdown in microservices, covering service pre‑warming, registration strategies, Spring Cloud and Polaris demos, Docker container handling, and the benefits and challenges of lossless service lifecycle management.
This article provides a step‑by‑step guide to deploying a Nacos cluster on Linux, covering environment preparation, installation, MySQL configuration, application.properties settings, and cluster.conf setup, startup commands, and explains the Raft‑based leader election and data synchronization mechanisms for reliable microservice registration.
This article provides a comprehensive tutorial on setting up a Nacos cluster on Linux, covering environment preparation, database configuration, application property tuning, cluster file creation, startup procedures, microservice integration, and an in‑depth explanation of the Raft‑based leader election and data synchronization mechanisms.
This article explains the principles, common use cases, and data‑sharing techniques of Kubernetes initContainers, compares them with PostStart hooks, and provides complete YAML examples for fetching files before a main container starts and for waiting on dependent services.
This article presents practical Kubernetes best‑practice cases—including horizontal autoscaling, service discovery with load‑balancing, and health‑check probes—to help engineers build more reliable, scalable, and self‑healing container deployments.
This article explains the motivations behind Kubernetes multi‑cluster deployments, outlines common use cases such as isolation and high‑availability, and analyzes core management elements including deployment models, control‑plane architectures, network connectivity, service discovery, cross‑cluster scheduling, application model extensions, and treating clusters as resources.
This article walks through the evolution of a simple online supermarket from a monolithic architecture to a fully fledged microservice system, highlighting the challenges, component choices, database splitting, monitoring, tracing, logging, gateway, service discovery, resilience patterns, testing strategies, and the trade‑offs of using a custom framework versus a service mesh.
This article provides a comprehensive overview of Spring Cloud fundamentals, including microservice concepts, service registration and discovery, circuit breaking, load balancing, and key components such as Eureka, Feign, Ribbon, Hystrix, and Spring Cloud Config, supplemented with interview‑style questions and code examples.
This article presents a comprehensive collection of high‑frequency Spring Cloud interview questions covering core concepts, microservice fundamentals, service discovery, load balancing, circuit breaking, Eureka vs Zookeeper, and practical usage of Feign, Ribbon, Hystrix, and Spring Cloud Config, helping readers deepen their cloud‑native architecture knowledge.
This article provides a comprehensive overview of Spring Cloud, covering its core components, microservice concepts, service discovery, load balancing, circuit breaking, configuration management, and practical interview questions with code examples such as Eureka, Feign, Ribbon, and Hystrix.
This article explains the design and implementation of JD's JSF RPC framework, detailing the architecture, XML configuration of providers and consumers, Spring namespace handling, service registration, server startup, client initialization, load balancing, and the overall workflow from provider exposure to consumer invocation.
This article provides a comprehensive overview of Spring Cloud fundamentals, including core components, microservice concepts, service discovery, load balancing, circuit breaking, and related tools such as Eureka, Zookeeper, Hystrix, Ribbon, and Feign, presented as a series of typical interview questions and answers.
This article explores the core features introduced in Seata 1.6.x—including AT‑mode syntax upgrades, multi‑primary‑key support, optimized request/response networking, lock‑strategy modes, and multi‑registry service discovery—explaining how each improvement boosts performance and flexibility for cloud‑native microservices.
This article explains the importance of service discovery in high‑availability systems, compares DNS, VIP, Zookeeper‑based CP solutions and message‑bus‑based AP approaches, outlines their registration and subscription workflows, highlights scalability and consistency trade‑offs, and provides practical guidance for designing robust registration centers.
This article provides a comprehensive overview of Spring Cloud fundamentals, including microservice architecture, core components, service registration, communication methods, circuit breaking, load balancing, and configuration management, presented as a collection of high‑frequency interview questions and answers.
The article explains why Spring Cloud Gateway may still call a downed service due to a stale CachingRouteLocator cache, and demonstrates how to listen to Nacos InstancesChangeEvent to evict the cache so the gateway always uses the latest service list.
This article provides a detailed tutorial on OpenFeign, covering its purpose, differences from Feign, environment setup, service provider and consumer creation, various parameter passing methods, timeout handling, logging configuration, HTTP client replacement, GZIP compression, and Sentinel-based circuit breaking, while also including practical code examples and configuration snippets.
A mistaken Zookeeper restart caused a 30‑minute outage of all microservices; this article analyzes the ZK session mechanism, why temporary nodes were not recreated, and presents two concrete solutions and best‑practice recommendations to prevent similar failures.
This article explains Nacos's dynamic service discovery, covering its core architecture, communication protocols, registration and heartbeat mechanisms, subscription and push processes, as well as SDK query flows, and includes detailed code examples to illustrate each step.
This article introduces Kubernetes fundamentals through a series of questions and answers, covering its architecture, node communication, pod scheduling, data storage, external access, scaling mechanisms, and component coordination, all illustrated with clear diagrams.
The article dissects Dubbo’s ZooKeeperRegistry by tracing its inheritance from AbstractRegistry through FailbackRegistry to CacheableFailbackRegistry, detailing local memory‑disk caching, retry logic via a timing wheel, URL‑push optimizations, and the ZooKeeper‑based ephemeral node and watcher mechanisms that enable dynamic service discovery, while also covering core ZooKeeper concepts.
The article explains Nacos’s open‑source service registry and discovery mechanisms, detailing client auto‑configuration, registration and health‑check workflows, server‑side instance handling, asynchronous copy‑on‑write processing, heartbeat cleanup, and cluster synchronization, while comparing its AP/CP capabilities to Zookeeper and Eureka.
This article provides a comprehensive overview of microservice architecture, outlining four major technology domains—management, storage, business support, and DevOps—and lists the most relevant tools and platforms for each, helping architects choose optimal solutions for their projects.
Nacos 2.2.0, the latest GA release of the dynamic service discovery and configuration platform, removes legacy code, adds several new plugins, expands feature support, refactors core components, and resolves numerous bugs and dependency issues for more stable cloud‑native operations.
This article explains the role of service registry centers in micro‑service architectures, introduces the CAP theorem and its trade‑offs, compares three categories of registries, and evaluates popular solutions such as Zookeeper, Eureka, Consul and Nacos to help you choose the right one for your needs.
The article introduces Nacos 2.2.0, explains its core functions, details major changes such as removal of legacy code, new data‑source, custom‑environment, and trace plugins, lists added features, refactorings, bug fixes, and provides reference links for further reading.
The Nacos 2.2.0 GA release introduces several new plugins—including rate‑limiting, custom environment variable, and datasource plugins—removes legacy redundant code, enhances tracing and batch registration, and delivers extensive refactoring and bug fixes to improve stability and extensibility for cloud‑native service discovery and configuration management.
This article explains what etcd is, compares it with Zookeeper, describes its architecture and core components such as WAL, snapshots and boltdb, outlines its key features, and shows how it powers service registration, watch mechanisms, cluster monitoring and leader election in cloud‑native systems.
This article provides a comprehensive analysis of Nacos as a service registry, covering its core concepts, architecture diagram, registration and discovery principles, detailed source‑code walkthroughs, and practical debugging examples for Spring Cloud microservice environments.
The Nacos 2.2.0 release introduces major changes including removal of redundant 1.x code, new rate‑limiting, custom environment, and datasource plugins, enhanced batch registration, v2 OpenAPI, LDAP authentication, extensive refactoring, numerous bug fixes, and updated UI dependencies.
Nacos 2.2.0 introduces major enhancements such as new plugins, batch registration, OpenAPI v2, LDAP support, extensive refactoring, numerous bug fixes, and UI dependency upgrades, while outlining upgrade paths and compatibility notes for 1.x clients and servers.
This article demonstrates how to configure a Spring Cloud Eureka server and multiple client applications, covering dependency inclusion, YAML configuration, service startup, testing, and three consumption methods—DiscoveryClient, Ribbon‑enabled RestTemplate, and Feign—complete with runnable code examples.
The article explains RPC fundamentals and why they are vital for distributed systems, then details the core components—service provider, consumer, and registry—along with extensions such as load‑balancing, circuit breaking, and serialization, and walks through a concrete Java implementation using Zookeeper, Netty, custom protocol, JSON/Protobuf, and Spring Boot SPI plugins.
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 how Kubernetes enables service‑to‑service communication using three native objects—ClusterIP Service, CoreDNS for DNS‑based discovery, and Kube‑proxy for DNAT—while abstracting the underlying network complexities from applications.
This article reviews five Java/Kotlin microservice frameworks—Helidon, Ktor, Micronaut, Quarkus, and Spring Boot—showing how to build services, configure Consul service discovery, run them, test their APIs, and compare their size, startup time, memory usage, and pros and cons.
This article provides a comprehensive overview of Dubbo, a high‑performance Java RPC framework, detailing its three core capabilities, essential components, layered architecture design, and the step‑by‑step remote invocation workflow for both service providers and consumers.
This article walks through the step‑by‑step transformation of a simple online supermarket from a monolithic web app to a fully‑featured microservice architecture, covering common pitfalls, component choices, monitoring, tracing, logging, service discovery, fault‑tolerance, testing, and deployment strategies.
The article builds five microservices with Helidon SE, Ktor, Micronaut, Quarkus and Spring Boot, integrates Consul for service discovery, provides full source code and configuration, shows how to start each service, benchmarks size, startup time and memory usage, and finally lists the pros and cons of each framework.
This article explains how to build a highly extensible modular backend service using Spring Cloud Gateway, Gradle scripts, and service‑discovery metadata to automatically generate and refresh routing configurations for both monolithic and microservice deployment modes.
This tutorial walks through setting up a Spring Cloud Gateway integrated with Nacos as a registration and configuration center, covering Nacos installation, project configuration, route definition, and a listener that dynamically refreshes service instances to ensure reliable request forwarding.
This tutorial provides a complete, code‑rich example of integrating Dubbo with Nacos using Spring Boot, covering environment setup, Maven project structure, module creation, configuration files, Java source code, and testing the RPC service call.
This article provides a concise overview of etcd and Kubernetes, detailing etcd’s features and use‑cases, explaining Kubernetes fundamentals, its relationship with Docker, and describing key components such as Minikube, Kubectl, Kubelet, common deployment methods, and the platform’s cluster management architecture.
The article explains why Spring Cloud remains the dominant Java microservice framework, introduces Tencent’s open‑source Polaris‑based Spring Cloud Tencent as a one‑stop cloud‑native solution, and details its discovery, configuration, routing, rate‑limiting, and circuit‑breaker modules, while outlining future plans and how developers can contribute.
This article introduces a systematic approach to troubleshooting Kubernetes pod network anomalies, covering classification of common failures, essential tools such as tcpdump, nsenter, paping and mtr, detailed packet‑capture techniques, a step‑by‑step troubleshooting workflow, and real‑world case studies to illustrate root‑cause analysis and resolution.
This article explains the fundamental concepts of API gateways, their design motivations, key architectural components such as routing, service registration, load balancing, resilience, and security, and provides a comparative overview of popular open‑source implementations like OpenResty, Kong, Zuul, and Spring Cloud Gateway.
This article provides a detailed overview of Spring Cloud fundamentals, including microservice architecture, core components, service discovery, load balancing, circuit breaking with Hystrix, differences between Eureka and Zookeeper, and practical usage of Ribbon, Feign, and Spring Cloud Bus, aimed at helping developers prepare for interview questions.
This article explores a range of advanced registry‑center capabilities—including console UI, service configuration, event tracing, topology mapping, traffic control, health‑check extensions, graceful release, framework adaptation, and DNS‑based discovery—to illustrate how to make a service registry more powerful and flexible.
This article walks through the evolution of an online supermarket from a simple monolithic web app to a fully fledged microservice architecture, detailing the motivations, design decisions, component breakdown, common pitfalls, and essential practices such as monitoring, tracing, logging, service discovery, resilience patterns, testing, and the role of service meshes.
This article explains Nacos's architecture, the principles of service registration, how Spring Cloud integrates Nacos via auto‑configuration, the implementation of NacosServiceRegistry, heartbeat mechanisms, registration workflows, provider address queries, and the dynamic service address perception using subscription and HostReactor.
This article explains Nacos's core components, the principles of service registration and health checking, how Spring Cloud integrates Nacos via ServiceRegistry and AutoServiceRegistration, the implementation details of NacosServiceRegistry, heartbeat mechanisms, and dynamic service address discovery using HostReactor.
This article provides a comprehensive overview of Kubernetes architecture, explaining the roles of the master and node components, the deployment creation process, pod fundamentals, service discovery, networking mechanisms, and how micro‑services are orchestrated within a cloud‑native environment.
This article explains how to assemble a production‑grade service registry by analyzing requirements, defining registration/discovery interfaces, comparing push and health‑check mechanisms, selecting long‑connection technologies, and choosing data‑storage and high‑availability strategies, all illustrated with JSON examples and design guidelines.
This article explains the Nacos architecture, its components, and how Spring Cloud integrates with Nacos for service registration, health checking, and dynamic service discovery, detailing the underlying mechanisms, code implementations, and the role of heartbeats in maintaining service health.
This article provides a detailed introduction to etcd, covering its purpose as a highly‑available distributed key‑value store, core Raft‑based architecture, key concepts, common application scenarios, step‑by‑step installation and cluster deployment, as well as essential command‑line operations for managing data, backups, and cluster members.
This article explains how native Kubernetes objects—ClusterIP services, CoreDNS, and kube-proxy—work together to provide reliable service-to-service communication within a cluster, covering traditional IP-based approaches, the Kubernetes network model, DNS-based service discovery, and traffic routing via DNAT.
This article explains the fundamentals of service governance in distributed systems, covering RPC communication, common anomalies, replica types, design principles, performance metrics, and the architecture and workflow of RPC frameworks, while also detailing key practices such as registration, discovery, load balancing, traffic shaping, version compatibility, circuit breaking, degradation, and rate limiting.
This article walks through the complete design of a service registry—from requirement analysis and interface definition to push mechanisms, health‑check strategies, long‑connection technology choices, data storage options, and high‑availability considerations—providing a practical blueprint for building a production‑grade registry.
This article provides a detailed introduction to etcd, covering its purpose as a highly available distributed key‑value store, core concepts like Raft consensus, key features, common use cases such as service discovery and configuration management, step‑by‑step installation for single‑node and cluster deployments, and essential etcdctl commands for managing data and cluster members.
This article compares monolithic and microservice architectures, outlines their respective strengths and weaknesses, explains gateway design, service registration/discovery mechanisms, and reviews open‑source solutions for API gateways, service registries, and configuration centers, providing a comprehensive guide for backend engineers.
This article provides a comprehensive overview of Spring Cloud’s core modules—including Eureka, Zuul, Ribbon, Hystrix, Feign, and Config—explains their roles in microservice architecture, compares Eureka with alternatives such as Nacos, ZooKeeper, Consul, and Etcd, and offers guidance on using service registries and API gateways in cloud‑native environments.
This article walks through the fundamental concepts of Kubernetes, explaining how the master node communicates with workers, how pods are scheduled onto nodes, where cluster state is stored, how services expose pods externally, and how replication controllers enable dynamic scaling.
This article provides a detailed analysis of Nacos as a service registry, covering its architecture, registration and discovery processes, health‑checking, Raft‑based consistency, Spring Cloud integration, and practical code examples for developers building micro‑service systems.
This article explains why microservice architecture is preferred over monolithic applications, outlines a clear 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.
This article explores how Eureka’s heartbeat mechanism works in microservice architectures, comparing it to the Tang dynasty tribute system, and details who sends the heartbeat, its interval, the sending process, server handling, and the actions performed after receipt, with code examples and thread‑pool configuration.
This article explains the service discovery and configuration push mechanisms of Alibaba Cloud's managed Istio‑compatible service mesh ASM, demonstrates practical experiments with Sidecar clusters, shows how VirtualService rewrites work across mesh‑in and mesh‑out services, and provides step‑by‑step guidance to enable selective service discovery for performance optimization.
This article explains the Eureka heartbeat mechanism in microservice architectures, covering who sends the heartbeat, its scheduling interval, the request construction, server-side handling, and how the lease information is updated to determine service liveness.
This article demonstrates how to migrate a Spring Cloud microservice architecture from Eureka to Nacos using a dual‑registration/dual‑subscription model, covering configuration changes, code adjustments, graceful shutdown, load‑balancing behavior, and step‑by‑step deployment procedures.
This article provides a comprehensive overview of Kubernetes, covering container operation fundamentals, multi‑site deployment models, service discovery mechanisms, shared pod resources, common CNI plugins, layered load‑balancing approaches, isolation dimensions, and essential network model principles for large‑scale clusters.
This article provides a comprehensive overview of Kubernetes architecture, covering its core components, service discovery methods, pod shared resources, common CNI plugins, multi‑layer load balancing, isolation dimensions, and network model principles that enable scalable, high‑availability container operations.
This article provides a comprehensive overview of Kubernetes architecture, covering container operations, multi‑center deployment, service discovery mechanisms, shared Pod resources, common CNI plugins, multi‑layer load balancing, isolation dimensions, and network model principles.
This article explains the role of Eureka as a service registry in Spring Cloud, describing its functions, architecture, components such as Eureka Server and client, and how it enables service registration, discovery, load balancing, and fault tolerance for microservices.
This article explains how to achieve elegant service shutdown and various gray‑release strategies—including /shutdown, /pause, /service‑registry endpoints and EurekaAutoServiceRegistration—while also covering blue‑green, rolling, and canary deployments for zero‑downtime upgrades.
This article examines five popular service registries—Zookeeper, Eureka, Nacos, Consul, and ETCD—explaining their core concepts, architecture, CAP trade‑offs, health‑check mechanisms, multi‑data‑center support, and provides guidance on selecting the most suitable registry for different technology stacks and availability requirements.
This article explains the Nacos architecture, the principles of service registration and discovery, and how Spring Cloud integrates with Nacos through auto‑configuration, heartbeat mechanisms, and dynamic address updates, providing a comprehensive guide for building cloud‑native microservices.
This article introduces Tencent's open‑source Polaris platform, explains its core concepts and features such as service discovery, load balancing, circuit breaking, and dynamic routing, and shares practical experiences of deploying Polaris in Qidian's microservice environment.
This article explains the core concepts, roles, and essential functions of service registries, compares five popular solutions—Zookeeper, Eureka, Nacos, Consul, and ETCD—examining their architectures, consistency models, health checks, multi‑data‑center support, and provides guidance for selecting the most suitable registry for your microservice ecosystem.
This article explains the internal DNS challenges of VIP‑based service routing, compares intrusive SDK‑based and non‑intrusive DNS approaches, and details how PolarisMesh supports both centralized and distributed DNS implementations, including their capabilities, configuration steps, and future enhancements.
This article explains how to design a service registry that enables service registration, discovery, high availability, and dynamic handling of service instances in a microservice architecture, covering registration methods, consumer/provider interaction, push/pull mechanisms, long‑polling, and heartbeat health checks.
This article explains Kubernetes service discovery by first covering essential networking concepts, then detailing how Services provide stable endpoints, how they register with cluster DNS, how Endpoints track healthy Pods, and how kube-proxy routes traffic using iptables or IPVS to ensure reliable intra‑cluster communication.
This article provides a comprehensive overview of the microservice ecosystem built on Spring Cloud Alibaba, detailing essential modules such as service registration, discovery, load balancing, configuration, messaging, gateway, circuit breaking, distributed tracing, and transaction management, and includes practical code snippets and configuration examples for each component.
This article explains Kubernetes service discovery by first covering essential networking concepts, then detailing how Services provide stable endpoints, how they register with cluster DNS, and how kube-proxy and iptables/IPVS route traffic to dynamic Pods.
This article explains Kubernetes service discovery by first covering essential network concepts, then detailing how Services, Endpoints, and kube-proxy work together to provide stable, load‑balanced communication between dynamic Pods in a cloud‑native environment.
This article explains the fundamentals of RPC communication, detailing its roles, step‑by‑step call flow, underlying technologies, differences from local function calls, and compares major RPC frameworks while highlighting how it contrasts with RESTful APIs in microservice architectures.
This article explains the Nacos architecture, including its provider, consumer, name server, and server components, and details how Spring Cloud integrates with Nacos for service registration, heartbeat monitoring, and dynamic service discovery using Open API, SDK, and Raft-based consistency protocols.
This article provides a comprehensive overview of Kubernetes, covering its purpose for container operations, key functions, core components, multi‑center deployment, service discovery methods, pod resource sharing, common CNI plugins, load‑balancing layers, isolation dimensions, network model principles, and IP address classifications.
This article explains the typical architecture of RPC frameworks, detailing the roles of servers, registries, and clients, the core functions of service discovery, serialization, and network transport, and surveys popular implementations such as RMI, Thrift, gRPC, Dubbo, and others.
This article provides a concise overview of Kubernetes, covering its master‑node architecture, core components, deployment workflow, pod fundamentals, container orchestration patterns, scaling and rolling updates, as well as internal and external service networking mechanisms.
This article explains what etcd is, its origins, core features such as simplicity, security, speed, and reliability, and details eight practical scenarios—including service discovery, messaging, load balancing, distributed coordination, locks, queues, monitoring, and leader election—showing why it often outperforms Zookeeper in cloud‑native environments.
