This guide walks through installing HAProxy 2.x, configuring L4 TCP and L7 HTTP/HTTPS load balancing for web, MySQL, and Redis, setting up health checks, session persistence, monitoring, high‑availability with Keepalived, performance tuning, security hardening, and step‑by‑step zero‑downtime deployment and rollback procedures.
Envoy, the high‑performance edge and service‑mesh proxy, offers three core mechanisms—service discovery, load balancing, and health checking—each with multiple configurable options and code examples, enabling operators and developers to optimize distributed systems for scalability, reliability, and performance in cloud‑native environments.
This article reveals the most frequent Kubernetes pitfalls—from missing resource requests and health checks to over‑privileged containers and lack of monitoring—provides concrete examples, code snippets, and practical recommendations to help you configure a stable, secure, and efficient cloud‑native environment.
OpenAI’s engineering team details how they expanded a Kubernetes cluster to 7,500 nodes to support massive models like GPT‑3, CLIP, and DALL·E, describing workload characteristics, networking redesign, API server pressure, monitoring, health checks, resource quotas, and the remaining open problems.
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 how to design and operate resilient microservice systems by using patterns such as graceful degradation, change management, health checks, self‑healing, failover caching, retry logic, rate limiting, circuit breakers, and testing failures to minimize downtime and improve reliability.
This article explains how to build highly available microservice systems by addressing the risks of distributed architectures, employing graceful degradation, change management, health checks, self‑healing, failover caching, retry and rate‑limiting strategies, bulkhead and circuit‑breaker patterns, and continuous failure testing.
This article explains how to build highly available microservice systems by applying fault‑tolerance patterns such as graceful degradation, health checks, self‑healing, failover caches, retries, rate limiting, bulkhead isolation, circuit breakers, and systematic failure testing, while also covering change‑management and deployment strategies.
The article explains how to build highly available microservice systems by isolating failures, applying graceful degradation, change‑management, health checks, self‑healing, fallback caches, circuit breakers, retry policies, rate limiting and testing strategies, while acknowledging the cost and operational complexity involved.
The article explains how microservices can achieve resilience through health reporting, diagnostics, standardized logging, health‑check implementations, and orchestrator coordination to detect failures, restart services, handle upgrades, and recover from partial cloud‑based failures.
This case study outlines iQIYI's LEDAO middle‑platform monitoring challenges, evaluates open‑source solutions, details the selection and customization of CAT, and presents deployment, integration, health‑check, and alerting enhancements that now support over 100 microservices across multiple regions.
This article examines the inherent risks of microservice architectures and presents practical patterns—such as graceful degradation, change management, health checks, self‑healing, fallback caching, retries, rate limiting, bulkheads, and circuit breakers—to build highly available, fault‑tolerant services.
This guide explains why service discovery is essential, details Consul's internal architecture, walks through building a Docker‑based Consul cluster, shows how to register services, query them via HTTP API or DNS, and covers health checks, deregistration, and alternative deployment patterns.
This article shares the 2019 container‑migration experience of an e‑commerce team, covering Docker and Kubernetes fundamentals, Java‑specific memory and CPU limits, JDK version tuning, log collection, multi‑stage image builds, health‑check strategies, common pitfalls, and best‑practice recommendations for cloud‑native deployments.
This article explains why service discovery is essential for microservice architectures, dives into Consul’s internal mechanisms—including multi‑datacenter gossip, Raft consensus, and client‑server roles—then provides step‑by‑step Docker deployment, service registration, health‑check configuration, and practical discovery methods via HTTP API and DNS.
This article explains how Kubernetes health checks—Readiness and Liveness probes—work, the differences between them, practical scenarios for their use, and how to configure probe types, delays, and thresholds to build more resilient cloud‑native applications.
This article explores the fundamentals and advanced techniques of load balancing, compares DNS round‑robin with dedicated load balancers, discusses scaling strategies, health‑check mechanisms, and introduces Alibaba’s VIPServer as a modern mid‑tier solution addressing real‑world operational challenges.
