The article describes how Dada rebuilt its log processing pipeline using Kubernetes mixed deployment, Filebeat for automated collection, Storm for efficient parsing, and Elasticsearch cold/hot nodes to handle over 130 billion daily log entries and 300TB storage.
This article provides a hands‑on guide to building a reliable Kubernetes logging system, covering log level selection, content standards, output formats, volume control, multiple targets, performance impact, library choices, storage options, and long‑term retention strategies.
This article explains why Spring Boot 2.1.x stopped printing HTTP request mappings, shows that the log level was changed from INFO to TRACE, and provides the exact configuration needed to re‑enable detailed endpoint logs during application startup.
This tutorial explains the principle and practical usage of Python decorators, guiding you through basic examples, logging decorators, argument‑accepting decorators, and class‑based decorators, while illustrating how they wrap functions to add pre‑ and post‑execution behavior.
This guide explains how to use the Linux logger utility to manually add, tag, prioritize, and forward messages to local or remote syslog files, including examples for quoting, reading from files, setting process IDs, and limiting message size.
This tutorial demonstrates how to enable, configure, and analyze DBLE’s slow query log—compatible with MySQL’s mysqldumpslow and Percona’s pt‑query‑digest—by generating sample queries, examining log rotation, and using the tools to inspect performance details, while also providing community resources and course information.
This article explains how to generate, propagate, and log unique request IDs across multithreaded HTTP calls in a Java performance‑testing framework, providing a MarkRequest interface, a RequestThreadTimes implementation, and a runnable demo that captures request‑ID timestamps for analysis.
Shenzhen Airport’s new mini‑program, launched with Tencent Cloud’s OneID system, unifies passenger identity across outbound, inbound, transfer and pick‑up scenarios to deliver 31 personalized services such as indoor navigation and luggage tracking, while leveraging serverless cloud development, two‑level caching, built‑in logging, multi‑environment management, and GDPR‑compliant data security to dramatically shorten development cycles and eliminate traditional server deployment.
This article explains Laravel's powerful logging facilities built on Monolog, describes the configuration file location, details available channel drivers, shows how to set up single, daily, stack, Slack, Papertrail and custom channels, and provides code examples for writing log messages and customizing Monolog handlers.
This comprehensive guide walks you through configuring Nginx status pages, compiling modules, using built‑in and custom variables, setting up JSON and gzip logs, enabling HTTPS, mastering rewrite rules, preventing hotlinking, implementing reverse proxy with caching, and deploying both HTTP and TCP load‑balancing with Redis and MySQL back‑ends.
This tutorial explains ELK concepts, the logs needed from Kubernetes, three ELK stack collection strategies, step‑by‑step deployment of a single‑node ELK cluster, Filebeat agents, ingress configuration, and Kibana visualization to achieve a production‑grade log management solution.
The talk explains how Elastic Stack can be used to achieve comprehensive observability for cloud‑native applications through a four‑step methodology—health checks, metrics, logging, and tracing—detailing the challenges, implementation details, and best practices for monitoring and debugging modern microservice systems.
This article explains how to design and implement a flexible, high‑performance log system for Kubernetes environments, covering demand‑driven architecture, functional requirements, open‑source component choices, the reasons for a custom solution, and the operational challenges faced at massive scale.
This article explains the fundamentals of monitoring and logging in large‑scale Kubernetes clusters, classifies monitoring types, traces the evolution from Heapster to the lightweight metrics‑server, outlines the three Kubernetes monitoring APIs, reviews Prometheus as the de‑facto standard, and describes Alibaba Cloud’s enhanced monitoring and logging solutions.
This article explains why to use Spring Boot, how to set up the development environment, and provides step‑by‑step instructions for integrating MyBatis, Swagger2, multi‑environment profiles, and advanced Logback logging, including configuration files, Maven dependencies, code snippets, and testing procedures.
This article details LeXin Medical's journey from a manually built Kubernetes cluster to the UCloud UK8S platform, covering the challenges of self‑hosting, the tools and processes used for migration, and the resulting improvements in logging, monitoring, CI/CD, and overall operational efficiency.
This guide presents a comprehensive set of best‑practice techniques for building high‑efficiency WeChat mini‑programs, covering layout strategies, custom navigation and TabBar implementations, user authentication flows, logging and data analysis, pre‑loading, independent sub‑packages, and reusable component architectures.
iQIYI tackled the complexity of its large, multi‑team, multi‑technology mobile app by implementing an automated, standardized logging and diagnostic platform—including UI testing, code‑coverage, a unified SDK, real‑time log debugger and web viewer—enabling proactive design‑for‑debug, faster releases and higher quality.
Grafana 6.4, released on October 2 2019, introduces a suite of enhancements—including Explore navigation, real‑time log viewing, new log panels, Data Link upgrades, Series Override line rendering, shared query results, an Alpine‑based Docker image, deprecation of PhantomJS, and the Alpha release of grafana‑toolkit—plus numerous UI and performance improvements.
This article shares Alibaba's extensive experience building a Kubernetes‑based logging system, detailing the evolution from single‑machine to containerized environments, the critical role of observability, and the specific technical challenges such as dynamic log sources, integration complexity, and massive scale handling.
This article explains what a Python Traceback is, how to read its information from bottom to top, lists common exception types such as AttributeError, ImportError, IndexError, and shows practical ways to record and handle errors using try/except and the logging module.
This article provides an in‑depth overview of logging strategies from Docker to Kubernetes, explains the security architecture of Kubernetes clusters, and outlines best‑practice deployment of the Kong microservice gateway within a Kubernetes environment, offering practical insights for cloud‑native DevOps engineers.
This article explains why Youzan chose Kubernetes, describes their multi‑IDC, multi‑cluster architecture with high‑availability master components, logging and monitoring solutions, custom service exposure, image building process, lifecycle hooks, continuous delivery pipeline, operational challenges faced, and future plans such as operators and auto‑scaling.
This article describes the design and architecture of a front‑end monitoring platform, detailing its JS SDK, data analyzer, web UI, reference log‑collection architectures, use of Kafka, MySQL, Hive and HBase, scaling considerations, storage conventions, and operational best practices.
This guide explores advanced Jupyter Notebook techniques, including using shell commands, line and cell magic commands, autosave configuration, timing execution, logging customization, running external scripts, integrating Seaborn for enhanced visualizations, managing databases with ipython-sql, and extending functionality with plugins.
This report details the background, personnel effort, migration process, performance gains, operational experience, and lessons learned from moving a high‑traffic automotive content platform from Windows‑only .NET Framework to cross‑platform .NET Core and Docker, highlighting seamless upgrade, elasticity, and tooling improvements.
This article walks through Logback's internal workflow—from obtaining a Logger and issuing a log call, through filter evaluation, level checking, event creation, formatting, and finally writing to various appenders—while also covering file‑rolling policies and configuration details.
This guide walks you through deploying a Knative Service on Alibaba Cloud Container Service, configuring logging and monitoring with Log Service, setting up alerting, and enabling distributed tracing, providing step‑by‑step commands, YAML examples, and console screenshots for a production‑grade serverless setup.
This article narrates the origin and evolution of Elasticsearch, from its Lucene roots through Compass to the modern ELK Stack, illustrating how it simplifies full‑text search, log analysis, and real‑time monitoring for developers and operations teams.
This article narrates the origin and evolution of Elasticsearch, its underlying Lucene technology, the surrounding Elastic Stack components such as Logstash, Kibana, and Beats, and illustrates how they together provide powerful search, logging, monitoring, and analytics solutions for modern applications.
Learn how to containerize ELK components, configure Rsyslog, deploy Elasticsearch, Logstash, Kibana, and an Nginx logging container, then visualize and query application logs—all with Docker commands and configuration snippets for a complete log‑collection pipeline.
This article explains why SLF4J with Logback is the preferred logging façade for Java back‑ends, when to log, how to format messages using parameterized placeholders, and the correct usage of each log level with clear do‑and‑don’t code examples.
This tutorial explains the fundamentals of Aspect Oriented Programming (AOP) and demonstrates how to create a logging aspect in a Spring MVC application, covering AOP terminology, Spring annotations, pointcut expressions, a WebLog DTO, the WebLogAspect implementation, and how to test the logging output via Swagger UI.
This guide explains why to use the SLF4J façade with Logback, when to log, proper parameterized message formats, level‑specific conventions for ERROR, WARN, INFO, DEBUG, and TRACE, and provides concrete code examples for clean, performant logging in Java applications.
This tutorial demonstrates how to integrate an AOP logging module into a Spring Boot project by adding required dependencies, creating a custom aspect that extends LBaseWebLogAspect, defining a pointcut, and exposing a sample REST endpoint that returns user data while logging detailed request information.
This article examines Kotlin Multiplatform's evolution, detailing native compilation, cinterop bindings, platform libraries, bidirectional Swift/Objective‑C interop, and practical cross‑platform implementations for logging, file I/O, and SQLite, while outlining future directions and tooling recommendations.
This tutorial walks you through installing Graylog with Docker‑Compose, configuring it for Spring Boot, and routing Logback and Log4j2 logs to Graylog, while also comparing Graylog to the ELK stack and providing source links for the full projects.
The article explores what a bug really is, why bugs inevitably appear in software development, and offers practical strategies—such as effective logging, leveraging debugging tools, and keeping iteration sizes small—to locate and resolve bugs more quickly.
This guide walks through setting up a three‑node ELK stack on Alibaba Cloud, configuring Redis as a broker, installing Filebeat for lightweight log collection, wiring Logstash pipelines, deploying Elasticsearch, Kibana and Grafana, and visualizing Nginx logs with geo‑IP maps and dashboards.
This article explains how to replace manual print debugging with the lightweight PySnooper decorator, showing step‑by‑step installation, usage, log configuration, and detailed output examples that reveal line execution and variable changes in Python functions.
This article introduces EasyScheduler, an open‑source big data workflow scheduling system, explaining its core terminology, decentralized architecture, distributed lock implementation, thread‑shortage handling, fault‑tolerance mechanisms, task‑retry and priority designs, as well as its logging solution using Logback and gRPC.
This article explains why systematic logging is essential for production debugging, introduces a practical log classification and field schema, describes trace‑ID propagation and performance instrumentation, and walks through building an ELK‑based log collection, storage, and real‑time visualization platform for reliable observability.
This tutorial walks you through deploying an ELK stack and a sample web application on Kubernetes, exposing services via NodePort and ClusterIP, scaling the web pods, and using Kibana to visualize logs from multiple containers, all illustrated with YAML files and command‑line examples.
This guide explains how Alibaba Cloud Container Service and Log Service integrate to provide a complete Ingress logging, analysis, and visualization solution that can be deployed with a single YAML file, covering architecture, data collection, dashboards, alerts, and custom queries.
This article presents nine practical logging best‑practice recommendations—from understanding human and machine audiences and standardizing log formats to leveraging metrics, proper alerting, severity levels, contextual information, and advanced framework features—helping operations teams improve system performance and troubleshooting efficiency.
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.
