This tutorial explains how to integrate Prometheus with Consul for automatic service discovery in cloud‑native environments, covering ACL policy creation, token generation, adding static scrape configurations via the Prometheus Operator, and verification steps to ensure reliable monitoring.
This article outlines the essential building blocks of a modern microservice architecture—traffic entry with Nginx, API gateway selection, business service design, service registration, caching and distributed locks, persistent storage strategies, document-oriented stores, messaging middleware, log aggregation, task scheduling, and distributed object storage—providing practical guidance for backend engineers.
This comprehensive guide explains what microservices are, why they evolved from monolithic applications, the challenges they introduce, popular open‑source solutions such as Dubbo, Spring Cloud Netflix and Spring Cloud Alibaba, and essential components like service registries, configuration centers, remote‑call mechanisms, load‑balancing, circuit‑breakers, tracing, and monitoring for building resilient cloud‑native systems.
This article presents a comprehensive microservice architecture roadmap, explaining why microservices are chosen over monoliths, outlining essential concerns such as Docker, orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, tracing, data persistence, caching, and cloud providers, and recommending suitable tools for each.
This article explains how Nacos, Ribbon, OpenFeign and Spring Cloud's loadbalancer work together to provide service registration, discovery and client‑side load balancing, detailing the required Spring Cloud interfaces and showing practical code examples.
Higress 1.0.0‑rc offers a ready‑to‑use cloud‑native gateway with one‑click installation via Helm, a console that simplifies Ingress/Gateway APIs, extensive plugin and service‑discovery support, hot‑update capabilities, built‑in observability, and detailed documentation for advanced traffic management and community contribution.
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 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 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 article presents a comprehensive roadmap for adopting microservice architecture, explaining its benefits, core concepts, and the essential tools such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, distributed tracing, data persistence, caching, and cloud providers.
Spring Cloud Tencent integrates Tencent's Polaris platform to provide a comprehensive, out‑of‑the‑box microservice solution for Spring Boot and Spring Cloud users, covering service registration, configuration management, routing, rate limiting, circuit breaking, and proximity routing, while emphasizing low‑cost, high‑efficiency, and stable architecture for Java enterprises.
Spring Cloud Tencent, open‑sourced on June 14, offers a comprehensive, Spring‑compatible microservice suite built on Tencent's Polaris platform, providing service discovery, configuration, routing, rate limiting, and circuit breaking, while explaining its motivations, core capabilities, and future roadmap for Java developers.
This article walks readers through the complete lifecycle of a microservice system—from architectural design and Java Spring Boot implementation to Kubernetes deployment, high‑availability setup, monitoring with Prometheus/Grafana, tracing with Zipkin, and flow‑control with Sentinel—providing practical code snippets and step‑by‑step instructions.
This article provides a comprehensive overview of microservice architecture, covering its definition, history, differences from monolithic development, key characteristics, comparison with SOA, practical implementation steps, common design patterns, advantages and disadvantages, and essential considerations for successful adoption.
This article outlines why microservice architecture is preferred over monolithic designs, presents a clear learning roadmap, and details essential concerns such as Docker, orchestration, API gateways, load balancing, service discovery, logging, monitoring, tracing, persistence, caching, and cloud providers, with recommended tools for each.
This article provides a detailed introduction to microservices, covering its definition, advantages and disadvantages, suitable organizational contexts, core architectural components such as service discovery, gateways, configuration centers, communication protocols, monitoring, circuit‑breaker patterns, containerization, orchestration engines, and related open‑source tools.
This article provides a comprehensive overview of microservice architecture, covering its definition, historical development, differences from monolithic systems, design patterns, implementation challenges, advantages, disadvantages, and the mindset shift required for successful adoption.
This article walks through nine practical Redis use cases—including basic KV caching, distributed locking, delayed queues, rate limiting, service discovery, bitmap storage, HyperLogLog counting, roaring bitmaps, and Bloom filters—explaining the underlying concepts, configuration tips, and code examples for robust backend development.
This article examines service discovery patterns, comparing client‑side and server‑side approaches, explores consistency trade‑offs, health‑check mechanisms, subscription models, graceful up/down procedures, and high‑availability designs to help engineers choose the right solution for microservice architectures.
The article reviews common microservice deployment options, cross‑cutting concerns such as configuration, logging and health checks, explains API gateways, service discovery, circuit breakers, discusses data‑ownership strategies, and lists typical anti‑patterns to avoid when building cloud‑native backend systems.
