Kafka Streams is a client library that enables low‑latency, fault‑tolerant real‑time processing of Kafka data through configurable topologies, time semantics, and state stores, and the article explains its architecture, essential configurations, monitoring‑focused ETL example, performance tuning, and strategies for handling partition skew.
This article provides a comprehensive guide on building a unified log collection system using Filebeat and Graylog, covering the tools' concepts, configuration files, component functions, Docker deployment, and practical code examples for efficient log monitoring across multiple environments.
This guide explains why traditional monitoring falls short in cloud‑native environments and shows step‑by‑step how to install and configure the Prometheus Operator on Kubernetes using Helm, including custom image settings, storage configuration, and verification of the deployed services.
Monitoring Kubernetes is essential to detect resource contention, component failures, and network issues; it involves tracking core component metrics such as API server latency, etcd write times, scheduler delays, as well as node‑level CPU, memory, disk, and network statistics, pod health, and custom application metrics exposed via Prometheus exporters for comprehensive observability.
Meitu replaced on-device beautification and video processing with a cloud-native architecture that routes requests by region, uses a dedicated upload SDK for detailed monitoring, employs edge-computing, a configuration-driven plug-in framework and Kubernetes-based elastic scaling, enabling fast, reliable, globally-distributed image and video services.
OPPO transformed its sprawling, manually‑provisioned middleware clusters into a cloud‑native, containerized platform by building custom Kubernetes controllers, IP‑preserving StatefulSets, resource‑isolated containers, automated monitoring and self‑healing workflows, enabling rapid provisioning, efficient utilization, fault‑tolerant scaling and future serverless and service‑mesh integration.
This article shares practical advice for novice project managers, covering the four process groups—initiation, planning, execution, and monitoring—through real‑world examples, stakeholder identification, risk handling, change control, and communication techniques to help them deliver value and grow their teams.
This article describes how Beike built, refined, and scaled a mobile live‑streaming platform—detailing early challenges, architectural pain points of version 1.0, and the systematic improvements introduced in version 2.0 such as clear boundaries, functional aggregation, layered platform design, dynamic configuration, monitoring, and zero‑cost integration to support diverse business scenarios.
This document outlines a comprehensive Standard Operating Procedure for building and maintaining a mobile application quality system, covering background, pre‑emptive planning, coding standards, branch management, code review, AI‑assisted tools, monitoring, issue handling, and continuous improvement to ensure stable, high‑quality mobile products.
This article explains how to monitor and tune Linux network packet reception using tools such as ethtool, ifconfig, and procfs, covering RingBuffer inspection, hardware and soft interrupt analysis, multi‑queue configuration, interrupt coalescing, and GRO settings to improve throughput and reduce packet loss.
This article details how JD Logistics guarantees the stability of its Double 11 supply‑chain dashboard by mapping the entire data‑flow, identifying risk points across ingestion, processing, storage, service, and monitoring layers, and applying targeted technical and organizational safeguards.
This article details the design and deployment of an intelligent alert attribution system for Ctrip Hotel's front‑end, describing the background challenges, the unified data pool, weighted alert rules, three attribution algorithms, achieved improvements in accuracy and troubleshooting speed, and future enhancement plans.
This article outlines the evolution of Ctrip’s performance testing approaches across three generations, analyzes their limitations, and presents the design, architecture, data construction, request tracing, monitoring, and operational considerations of the fourth-generation full‑link testing platform, including case studies and future outlook.
This article details how 58 Group’s cloud authentication service introduced an observability framework—optimizing logs, employing distributed tracing, defining SLO/SLA metrics, and implementing burn‑rate alerts—to improve fault detection, reduce false alarms, and achieve faster root‑cause analysis across the system.
The article explores how distributed systems achieve high reliability through redundant design, precise fault detection and recovery, data replication and synchronization, coordinated fault tolerance and load balancing, distributed transaction handling, comprehensive monitoring, elastic scaling, security safeguards, and robust disaster‑recovery planning.
This article explains how to use Prometheus together with Spring Boot Actuator and Micrometer to collect, expose, and visualize application metrics, including step‑by‑step dependency configuration, YAML settings, Docker deployment of Prometheus and Grafana, and adding custom metrics for comprehensive monitoring.
This article presents a comprehensive collection of Bash scripts that perform tasks such as verifying file consistency across servers, scheduled log cleaning, network traffic monitoring, numeric analysis in files, automated FTP downloads, interactive number games, Nginx 502 detection, variable assignments, bulk file renaming, IP address validation, and various system administration operations.
The article examines typical fault propagation scenarios such as avalanche effects, cascading failures, resource exhaustion, data pollution, and dependency cycles in distributed systems, and outlines proactive measures like rate limiting, circuit breaking, isolation, monitoring, and chaos engineering to prevent small issues from escalating into large-scale outages.
This guide explains how to monitor a Spring Boot application using Prometheus, configure Spring Boot Actuator, run Prometheus (including Docker deployment), set up Grafana for visualizing metrics, and create custom metrics with Micrometer, providing step‑by‑step instructions and code examples.
This article describes the design, architecture, and technical implementation of BMR's fault self‑healing platform, which automatically collects data, analyzes failures, defines decision rules, and executes safe recovery workflows to improve reliability and efficiency of massive, heterogeneous big‑data environments.