This guide lists and describes twenty indispensable Java libraries—including logging, JSON parsing, testing, HTTP, XML, database pooling, messaging, PDF handling, and more—so developers can quickly find the right tools for everyday backend development tasks.
Meitu’s container platform, built on Kubernetes with Calico networking, a custom Nginx load‑balancer, unified logging, refined scheduling, autoscaling, and comprehensive monitoring, enables seamless multi‑cluster hybrid‑cloud operations for its hundreds‑of‑millions‑user services while providing CI/CD tooling and future‑ready extensions such as service mesh and edge computing.
This article explores practical Python debugging methods—from simple print statements and structured logging to powerful IDE debuggers, GDB, perf, strace, and the inject debugger pylane—providing code examples, best‑practice guidelines, and tips for improving observability and performance in production systems.
This guide explains how to use the Linux script command to capture terminal output, customize log file names, collaborate by sharing recordings, and automatically record remote assistance sessions, providing step‑by‑step examples and useful options for low‑memory environments.
This comprehensive guide explains why Python decorators are essential, walks through simple and advanced examples—including logging, parameterized, and class-based decorators—covers common pitfalls, and shows how to use tools like functools, decorator.py, and wrapt for clean, reusable code.
This article explains the importance of logging in Java web applications, reviews the most popular logging frameworks, introduces the concept of a logging facade, and shows why using SLF4J (or similar facades) is the best practice to reduce coupling and simplify future framework changes.
This guide explains how to create a Python‑based backup utility that automatically copies files or folders on Windows at user‑defined intervals, detailing the script structure, configuration file, core functions, logging, and how to package the tool as a standalone executable with PyInstaller.
The article summarizes the fourth 58 Group technical salon held on November 28, 2018, where experts from the Listening Cloud AI & Cloud Platform and 58 TEG Wireless Architecture shared practical experiences on mobile APM performance monitoring, startup optimization, SDK quality assurance, logging, and related code implementations.
This guide presents practical Dockerizing techniques—including choosing lightweight base images, installing only necessary packages, handling file permissions, defining user privileges, exposing ports, configuring entrypoints, externalizing data, and managing logs—to help developers build secure, efficient container images.
This article explains why and how to use Logback's TurboFilter to dynamically modify log levels, compares it with traditional filters, provides a concrete Java implementation that redirects ERROR logs to WARN, and shows the necessary XML and programmatic configurations.
This article presents a comprehensive overview of several Go utilities—including golog for logging, shardmap for high‑performance map sharding, a custom redis wrapper, goconsumer for asynchronous queue processing, and the gobox‑demo project template—along with practical advice on structuring controllers, services, and overall project organization for backend development.
This article explains how to use Logback's built‑in LevelFilter and ThresholdFilter to restrict log output by level, demonstrates XML configurations for error‑only and warn‑and‑above logging, and shows how to implement a custom filter for complex scenarios.
This article provides a detailed overview of Java logging frameworks—including Log4j, Log4j 2, Commons Logging, SLF4J, Logback, and JUL—covers their history, relationships, implementation mechanisms, practical selection guidelines, SLF4J usage patterns, source‑code analysis, bridge solutions for legacy APIs, and strategies for excluding unwanted logging dependencies.
The article explains why traditional image‑based log reporting can interfere with critical front‑end tasks, introduces the Beacon API as an asynchronous, low‑priority solution, and provides practical code examples and usage guidelines to ensure reliable data delivery without impacting user experience.
The article discusses common challenges with missing logs in production, proposes practical solutions such as adding machine identifiers via Nginx headers and embedding user information with Log4j's MDC, and outlines concise logging guidelines to improve traceability and performance analysis for Java backend systems.
This guide explains what Sentry is, how its DSN works, and provides step‑by‑step instructions for adding the Raven dependency, configuring logback.xml, and using the Sentry SDK in a Spring Boot application to capture and forward error logs.
This guide introduces the Elastic Stack components, explains their roles, and provides step‑by‑step installation and configuration instructions for Elasticsearch, Logstash, Kibana, and Filebeat, along with essential cluster concepts and common troubleshooting tips.
This article describes the motivation, design choices, memory‑mapped implementation, performance evaluation, and practical lessons learned while building a lightweight, crash‑resilient logging framework for the 运满满 iOS client, highlighting its superiority over traditional file‑write approaches.
The article examines Uber’s high‑throughput Go logging library zap, detailing its structured‑logging design, separation of concerns, copy‑on‑write filtering, extensive sync.Pool object reuse, reflection‑free type‑specific encoding, dynamic HTTP level control, and supplemental features such as a sugar API and log‑rotation, which together deliver superior performance over traditional libraries.
This article analyzes Uber's open‑source Go logging library zap, explaining its architectural trade‑offs, performance‑boosting techniques such as object pooling, reflection avoidance, and write‑time copying, and offers practical guidance for developers who want to build high‑performance logging components in Go.
This article outlines essential container operation best practices—including native logging, JSON log formatting, sidecar aggregators, stateless and immutable design, avoiding privileged containers, effective monitoring, health checks, non‑root execution, and careful image tagging—to help developers build secure, maintainable, and observable workloads on Kubernetes.
Tencent Cloud’s fully managed Kubernetes service, launched in 2016, delivers one‑click, VPC‑isolated cluster deployment with automated lifecycle, integrated monitoring, logging, storage (CBS/CFS) and CI/CD, custom components for metrics and storage, flat VPC networking, CSI drivers, and flexible master deployment models that simplify scaling, upgrades, and developer focus on applications.
This tutorial walks through installing JDK, configuring ElasticSearch, Logstash, Kibana, and Nginx on a CentOS 6.7 server, setting up JSON logging, creating pipelines, and troubleshooting time‑zone issues so you can visualize logs in Kibana.
Meituan Waimai’s mobile client employs a high‑availability architecture built on loosely‑coupled teams, comprehensive monitoring, encrypted logging, multi‑layer disaster recovery, gray‑release strategies, and an incident‑response workflow, enabling rapid detection and resolution of failures while supporting 20 million daily orders.
This article provides a comprehensive overview of the major Java logging frameworks—including Log4j, Log4j2, Commons Logging, SLF4J, Logback, and JUL—covers their history, relationships, implementation mechanisms, and offers practical guidance on selecting and integrating them in projects.
This article provides a comprehensive guide to planning, developing, testing, and monitoring microservices, recommending a range of open‑source tools for documentation, code review, logging, CI/CD, performance testing, and observability to help developers build reliable, scalable services.
This article explains why log testing is essential for server‑side applications, describes four log categories, provides concrete configuration examples, and lists eight practical checkpoints to ensure logs are useful, secure, and reliable during development and production.
This article examines common hardware and network failures in data centers, analyzes real‑world outage cases, classifies fault domains, and presents comprehensive strategies for database fault handling—including logging, checkpointing, backup, replication, and high‑availability architectures—to improve reliability and reduce downtime.
This article explains the importance of server‑side log testing, outlines four main log categories, provides practical logging standards and error‑code conventions, and lists key checkpoints for effective log testing to ensure reliable backend operations.
This article explains why learning to write Python decorators is essential, covering benefits such as improved logging, validation, framework integration, code reuse, retry logic, and career advancement, while providing clear examples and practical code snippets.
This article provides a comprehensive guide to Java logging frameworks, detailing the roles of SLF4J, Log4j, Logback, and Log4j2, comparing their architectures, showing how to configure each with XML files and Maven dependencies, and offering practical code examples and troubleshooting tips.
This article explains why proper logging is crucial for Java backend maintenance, defines useful log levels, outlines team rules and best‑practice implementations—including traceId usage, log file organization, and real‑time monitoring—to enable fast issue diagnosis and improve overall engineering quality.
Learn how to implement a cost-effective, high‑performance audit solution that records precise Bash and MySQL activity per user, integrates with syslog, handles remote execution, mitigates large‑log issues, and forwards logs to a centralized server for comprehensive operational visibility.
Explore the extensive capabilities of the browser Console object—including log, group, table, dir, assert, count, trace, timing, profiling, and custom styling—to enhance debugging and streamline development, with practical examples and visual guides for Chrome.
This article introduces the ELK stack components, compares four common deployment architectures, and provides step‑by‑step installation and configuration instructions for Elasticsearch, Logstash, Kibana, and Filebeat, including sample command lines and config files.
This article introduces the ELK stack components, compares three typical deployment architectures—Logstash‑based, Filebeat‑based, and a Kafka‑enhanced version—and provides practical solutions for multiline log merging, timestamp correction, and module‑based filtering using configuration examples.
This article shares practical Go microservice building experiences, covering gRPC-based communication, TLS security, request tracing, and comprehensive monitoring with Prometheus, including metric selection, alerting, and log management using Logrus and Graylog, to help reduce coupling and improve system observability.
The article introduces the ELKB stack—a combination of Elasticsearch, Logstash, Kibana, and Beats—explaining its background, user needs, architecture, component functions, typical scenarios, and the team’s practical implementations for real‑time log and time‑series data processing.
This article explains the design and implementation of a unified seller‑operation logging platform that uses Kafka for ingestion, Storm for real‑time processing, Elasticsearch for hot‑data search, and HBase for cold‑data storage, detailing the challenges faced and the optimizations applied.
This article explains the purpose of each log level, when to write logs, performance impacts, and concrete best‑practice patterns for INFO, DEBUG, WARN and ERROR in Java applications, providing actionable templates and configuration tips to build a robust logging system.
This article outlines essential principles for building extensible, high‑performance online services, covering interface design, coding standards, caching strategies, and logging practices to reduce bugs and simplify development and maintenance.
Learn how to create a complete Python profanity‑filter system for game chat, covering a dirty‑word list, string replacement, class‑based player handling, timestamped logging, and interactive user selection, with full source code and step‑by‑step explanations.
The article demonstrates how an automation development team can build a simple HTTP download tool in Python that reports its status via standard output, first using the built‑in logging module and then enhancing the user experience with the Halo spinner library for more attractive command‑line feedback.
This guide shows how to set up Django's email backend and logging configuration to automatically send detailed error reports for both HTTP requests and custom tasks, using simple settings changes and a reusable decorator for comprehensive system monitoring.
The article presents advanced Nginx configuration techniques—including hiding version information, customizing 404 pages, outputting JSON logs, applying client‑based request logic, forcing download filenames, implementing rate limiting, and using traffic mirroring—while also touching on upstream and caching features for enhanced security, observability, and traffic management.
The article reviews the evolution of big‑data architectures from a simple RDB‑centric pipeline to a SaaS‑based solution, highlighting common bottlenecks such as scaling, integration, cost, and operational complexity, and shares practical experiences and best‑practice recommendations for building efficient, maintainable data platforms.
This guide explores JavaScript's console object, detailing its logging methods, formatting placeholders, table displays, grouping, timing, and additional utilities, while providing code snippets and visual examples to help developers debug and present information effectively in browsers.
This guide shows how to create a Python monitoring tool that queries MySQL error logs for third‑party API failures, triggers email alerts when error counts exceed a threshold, runs as a scheduled task, and is managed with Supervisor for reliable operation.
This article, based on a DevOpsDays talk, explains practical shell‑script techniques—adding logging, usage help, file locking, and clear comments—to make MySQL backup scripts reliable, maintainable, and safe for collaborative operations environments.
This article explains how Log4j creates and organizes Logger instances into a hierarchical graph, illustrates the role of the root logger, details level definitions and inheritance, and shows practical XML configurations for unified and isolated logging across modules.
This article presents a design for a transparent, flexible, and low‑resource distributed logging solution that uses Lucene for indexing, Apache Ignite for service and compute grids, and a custom Log4j2 appender, enabling fast, unified log queries across clustered applications.
This guide explains how to install, configure, and use the wechat_sender tool—built on wxpy and Tornado—to forward logs, alerts, and scheduled messages from scripts or web services directly to personal or group WeChat chats.
This article explains how to set up the wechat_sender tool—built on wxpy and tornado—to forward logs, alerts, and scheduled messages from any Python application directly to personal or group WeChat chats, enabling instant monitoring and notification.
This article explains the three main Nginx log types, their purposes, and provides detailed configuration instructions—including log formats, variables, and related directives—to help backend engineers effectively manage access, error, and rewrite logs.
This article explains the purpose and generation of Tomcat's default log files—catalina.out, catalina.{yyyy‑MM‑dd}.log, and localhost.{yyyy‑MM‑dd}.log—how they are configured via logging.properties and server.xml, and which types of messages appear in each file to aid troubleshooting.
This article explains why developers must adopt mature logging frameworks, use log levels, split logs by time or size, choose appropriate storage backends, and consider unified platforms and real‑time analysis tools like ELK to ensure reliable debugging and monitoring in production.
This article explains the challenges of Docker log collection and provides a step‑by‑step guide for installing ELK components, configuring Logstash, Kibana, and various log shippers such as Filebeat, logging drivers, Logspout, and Logz.io to reliably gather and visualize container logs.
This article explores the challenges of front‑end error detection, compares client‑side storage options, defines an elegant log format, and presents a lightweight logging solution that enables quick capture, upload, and analysis of JavaScript errors in web applications.
The article details Vipshop's two‑year PaaS implementation on Kubernetes, covering the CI/CD pipeline, custom networking, Docker registry enhancements, logging and monitoring solutions, as well as the operational challenges and fixes encountered during the migration.
This tutorial shows how to create a Python‑based profanity‑filter for live chat by defining a word list, replacing offensive terms with asterisks, logging each message with timestamps, and organizing the logic inside a Player class for easy reuse.
This article provides practical guidance on data cleaning, covering the importance of data wrangling, using assertions, handling incomplete records, checkpointing, testing on subsets, logging, optional raw data storage, and validating the cleaned dataset to ensure reliable downstream analysis.
This article explains how to make robust MySQL backup shell scripts by adding logging, usage instructions, file locking, and proper comments to avoid rogue behavior and ensure reliable operation.
Distributed systems rely on coordinated services such as ZooKeeper for state management, message queues like ActiveMQ for inter‑process communication, robust transaction handling, automated deployment tools like Docker, and comprehensive logging solutions, each playing a critical role in achieving high availability, scalability, and operational visibility.
This article analyzes recent Android app security scan data, detailing prevalent vulnerabilities such as log leakage, weak encryption, WebView password storage, unsafe PendingIntent usage, and dynamic broadcast receiver exposure, and provides concrete code examples and remediation recommendations for developers.
This guide explains how to integrate and switch among Java logging libraries—including JDK logging, Log4j 1, Log4j 2, Logback, Commons‑Logging, and SLF4J—by using bridge jars, configuring dependencies, and understanding conflict resolution for seamless migration.
The discussion outlines essential service‑monitoring techniques—including health checks, JVM metrics, traffic and payment ring‑ratio analysis, client‑side exception tracking, third‑party CDN monitoring, alert thresholds, instrumentation via AOP or SDKs, and tooling such as Datadog, Zabbix, and the Elastic stack—to reliably detect and respond to incidents in e‑commerce environments.
This article explains how internet startups can build a robust logging system by defining log levels, essential log fields, best‑practice logging principles, and choosing between simple file logs or an ELK‑based collection pipeline for monitoring, troubleshooting, and analytics.
This article recounts Zhihu's evolution from a two‑person startup to a platform serving over 80 million monthly users, detailing early Python/Tornado choices, high‑availability, custom logging, event‑driven design, rendering optimizations, and the transition to a service‑oriented architecture.
This article examines the design of WeChat's cross‑platform XLog module, detailing how it balances performance, reliability, and security through memory buffering, mmap usage, and efficient compression to provide smooth, loss‑less logging for mobile applications.
This article examines the design of Mars's cross‑platform xlog module, explaining why traditional file‑based logging harms app smoothness, how memory buffering, mmap, and stream‑compression overcome performance and reliability issues, and what practical challenges remain on Android and iOS.
This article introduces the ufind-businesslog framework, explains its improvements over the original Koala project, and provides step‑by‑step guidance on configuring annotations, Groovy log templates, thread pools, and custom exporters to achieve non‑intrusive, asynchronous business logging in Java applications.
This guide explains what the ELK Stack is, outlines its key advantages, and provides detailed, command-line instructions for installing JDK, Elasticsearch 2.2.0, Kibana 4.4.1, and Logstash on Linux, along with testing, Log4j integration, and a common startup permission fix.
This article explains how to design a complete mobile app monitoring framework that covers problem discovery through key quality metrics and user feedback, systematic log instrumentation, effective issue localization methods, and rapid damage‑control strategies such as cloud‑based feature toggles and hot‑fix mechanisms.
This guide explains how to prepare the FindBugs environment, define a custom rule that flags System.out and System.err calls, write the detector using BCEL/ASM, integrate it into FindBugs configuration files, repackage the tool, and verify the rule works on compiled Java bytecode.
This guide explains how operations engineers can systematically map online business architecture, implement comprehensive multi‑dimensional monitoring, and create effective data dashboards to gain full visibility and quickly resolve issues.
This article walks through a real‑world project's performance evolution, detailing server specs, a litany of scalability and reliability problems, and concrete code‑level solutions such as database deadlock mitigation, transaction shortening, thread‑pool redesign, and logging improvements.
This article walks through a real‑world payment service’s performance evolution, detailing the server environment, a dozen common bottlenecks such as database deadlocks, long‑running transactions, CPU saturation, thread‑pool misuse, logging overload, cache issues, and provides concrete code‑level optimizations, architectural changes, and monitoring tips that raised throughput and stability.
This article examines the performance bottlenecks of a no‑card payment platform—including database deadlocks, overly long transactions, CPU saturation, unbounded thread pools, and excessive logging—and presents concrete backend‑level refactorings, configuration changes, and code examples that dramatically improve scalability and reliability.
This article highlights the two most critical performance mistakes identified by Martin Thompson—excessive logging and poorly designed APIs—illustrating how logging threads can linearly increase latency and proposing better API signatures such as returning iterators or using caller‑provided collections to boost efficiency.
This guide walks you through setting up rsyslog on two Linux hosts to collect logs into a MySQL database, installing Loganalyzer, and configuring Apache/PHP to display the logs in a user‑friendly web interface, enabling real‑time log analysis for small to medium environments.
The article details the design and implementation of Albianj's core backend components—including distributed lock considerations, unique ID generators, logging, caching, dynamic configuration, and RESTful services—highlighting their architecture, operational principles, and the practical benefits observed in real-world deployments.
The article recounts ChuYe's evolution from a monolithic setup to a clustered micro‑service architecture, detailing the challenges of debugging, deployment, and monitoring, and describing the solutions implemented—including service clustering, automated deployment platforms, Docker usage, and comprehensive logging and audit systems—to improve agility and operational efficiency.
This article explains how to capture Docker container logs, discusses the challenges of multi‑line log correlation, and presents two approaches—client‑side parsing and server‑side parsing—along with a concrete Flume customization using a DockerLog Java bean.
The article chronicles Yirendai’s four‑stage backend evolution—detailing the bottlenecks, architectural redesigns, logging improvements, and service‑splitting strategies that transformed a single‑server system into a scalable, multi‑service platform.
This article recounts Zhihu's evolution from a tiny Python‑Tornado service on a single Linode to a massive, highly available backend employing custom logging, event‑driven processing, page‑render optimizations, and a service‑oriented architecture that now supports over 100 million users.
The article examines how 1号店 evolved from a simple MVC architecture to a service‑oriented backend, emphasizing a comprehensive logging system that enables precise error classification, rapid issue localization, and proactive monitoring, ultimately improving reliability and scalability.
To protect MySQL databases from unauthorized access and performance issues, this guide outlines fourteen essential security measures—including restricting remote access, regular backups, disabling default accounts, tightening user privileges, securing configuration files, and enabling logging—providing concrete commands and configuration snippets for robust protection.
This article presents a comprehensive set of logging best‑practice rules—from defining log levels and classifications to using RequestIDs, monitoring alerts, and managing log size—aimed at improving system reliability, troubleshooting speed, and operational efficiency.
After two months of deep involvement in a distributed hybrid‑cloud project, I share practical insights on using Restful APIs, RabbitMQ, Redis, logging, component‑based development, testing strategies, coding standards, and cross‑team communication, highlighting challenges and solutions encountered while integrating C#, Java, and Python services.
The article outlines practical techniques for debugging live Java systems, emphasizing comprehensive distributed logging, global exception handling, proactive JStack usage, BTrace tracing, and custom JVM agents to quickly identify and resolve production issues.
This article explains the design principles, working mechanisms, installation steps, and common issues of syslog-ng and daemontools, showing how to configure syslog-ng for fine‑grained filtering, run it under daemontools supervision, and resolve a daemon restart loop.
The article shares a comprehensive set of development and operational best‑practice guidelines from Qunar’s internal wiki, covering URL testing, HTML validation, API documentation, security checks, logging, encoding, teamwork, and transparent change management for engineers.
