This guide outlines essential Spring Boot best practices for microservices, covering monitoring with Admin and Grafana, Actuator metrics, centralized logging via ELK, clear API docs using Swagger, YApi or smart-doc, build-info transparency, and keeping dependencies up-to-date.
This article explains the layered architecture of microservice monitoring, detailing five monitoring levels—from infrastructure to end-user experience—along with essential monitoring points such as logs, metrics, tracing, alerts, and health checks, and presents a typical monitoring stack using agents, Kafka, ELK, and InfluxDB.
This article explains why detailed Linux system operation auditing is essential for security and troubleshooting, outlines practical filtering rules to avoid redundant or sensitive logs, and compares five auditing approaches—history, custom bash, snoopy, auditd, and eBPF—detailing their strengths, limitations, and configuration examples.
Auditing Linux system operations is essential for security and troubleshooting, but excessive logs can overwhelm analysis; this guide outlines common filtering rules and compares five recording methods—history, custom bash, snoopy, auditd, and eBPF—highlighting their advantages, limitations, and practical configuration examples.
This guide introduces Loki, a Prometheus‑inspired, label‑based log aggregation system for Kubernetes, outlines its key features and components, and provides step‑by‑step Helm installation, Nginx‑Ingress and Promtail configuration, plus Grafana integration for visualising logs.
This article presents a ready‑to‑use ELK‑based solution for private‑deployment environments, detailing design principles, rapid one‑click deployment via Jenkins, log and metric collection with Filebeat and Metricbeat, alerting using ElastAlert, and visualization in Kibana, while emphasizing simplicity, robustness, and minimal operational overhead.
This article explains the evolution and relationships of Java logging libraries, shows how to resolve common issues like missing logs or jar conflicts, and provides practical guidance for configuring unified logging across frameworks such as SLF4J, Logback, Log4j, and Spring.
Learn how to enhance Python debugging using the PySnooper library, covering quick installation, simple examples, advanced features like output redirection, variable watching, depth control, thread info, custom representations, and remote debugging tips, all illustrated with clear code snippets and screenshots.
This article explains the evolution and inter‑dependencies of Java logging frameworks such as JCL, Log4j, JUL, SLF4J and Logback, shows how to configure them to avoid jar conflicts and missing logs, and provides practical steps and troubleshooting tips for unified logging in Java projects.
This tutorial explains the fundamentals of Python logging, covering when to log, the standard log levels, simple console and file examples, multi‑module logging, variable interpolation, message formatting, date/time handling, and advanced concepts such as loggers, handlers, formatters, configuration methods, and best practices for library developers.
The article explains typical Logback misconfigurations—such as logger inheritance errors and improperly set LevelFilter—that cause duplicate log entries, and provides step‑by‑step corrections like disabling additivity and configuring filter attributes to eliminate redundant logging.
This article explains the adapter pattern, illustrates its role in SLF4J by analyzing the Logger interface, Log4jLoggerAdapter, and related factory code, compares object and class adapters, and discusses the pattern's advantages and drawbacks in Java logging frameworks.
The article presents a comprehensive case study of Haodf.com's transition to a micro‑service architecture, detailing the challenges of service stability and observability, the design of a unified governance platform with log‑holographic analysis, real‑time alerts, application profiling, SLO/SLA definition, and future roadmap for capacity and reliability improvements.
This guide explains how to prepare resources, create a local‑volume storage class, install the Elasticsearch and Cluster Logging operators, and configure a persistent EFK stack on OpenShift, including YAML definitions, command‑line steps, and best‑practice notes on node selectors and tolerations.
This article explains MyBatis's logging architecture, covering the supported log implementations, the role of SLF4J, how MyBatis selects and configures a logger via LogFactory, and the use of JDK dynamic proxies to route JDBC logging through separate logger objects.
This article explains how to create and use custom Java annotations together with Spring AOP to implement unified logging, method‑level parameter validation, and other cross‑cutting concerns, providing practical code examples and best‑practice recommendations for backend developers.
This article explains how MyBatis loads and categorizes logging implementations, details the role of SLF4J and other frameworks, describes the LogFactory adapter selection process, and shows how JDBC log proxies use dynamic proxies to output SQL execution details.
This article walks through a real‑world Java code refactor that adds login IP and allowed‑time security checks to an e‑commerce platform, highlighting problems in the original implementation and detailing step‑by‑step improvements such as utility extraction, loop simplification, constant usage, and enhanced logging.
This article explains the essential role of logging and recovery mechanisms—especially the ARIES algorithm—in ensuring ACID properties, covering physical vs logical logging, optimization techniques like group commit and early lock release, and the three-phase recovery process.
This article provides a comprehensive guide to configuring Logback in Spring Boot, covering Maven dependencies, SLF4J usage, step‑by‑step XML setup, application.yml integration, controller logging code, Lombok shortcuts, appender types, logger definitions, log levels, rolling policies, filters, and best practices for backend development.
This article investigates why using Log4j2's ConsoleAppender can block business threads, analyzes thread stack traces and performance bottlenecks, and demonstrates how switching to AsyncLogger with Disruptor dramatically improves logging throughput and eliminates service deadlocks.
This article demonstrates how to use Spring Boot AOP to automatically record operation and exception logs by defining log tables, adding the AOP starter dependency, creating a custom @OperLog annotation, implementing an aspect that captures request details and errors, and applying the annotation to controller methods, providing a clean, reusable logging solution for Java backend applications.
This guide walks through building a secure, production‑grade logging pipeline by deploying an ELK stack (Elasticsearch, Logstash, Kibana) with X‑Pack security, a Kafka message queue with SASL authentication, and Filebeat agents, covering environment preparation, certificate generation, configuration files, and startup scripts.
This article surveys the major Java logging frameworks—including Log4j, Log4j2, Logback, SLF4J, J.U.L, and Jakarta Commons Logging—explains their histories, architectural differences, typical use‑cases, and provides practical guidance for selecting the most suitable option for new projects.
This article explains how to choose and integrate Java logging frameworks, use SLF4J with Logback, understand Spring Boot's default logging setup, customize log output, and switch between implementations such as Log4j2, providing practical code snippets and configuration examples.
This article demonstrates how to configure Python's logging module for console and file output, extend it with HTTPHandler for remote logging, and improve performance by using custom handlers, threading, thread pools, and asynchronous aiohttp calls to avoid blocking the main program.
This article explains how to seamlessly replace Spring Boot's default Logback logging framework with alternatives like Log4j2 by leveraging the SLF4J facade, covering version requirements, dependency management, configuration files, and detailed XML examples for various log levels.
This tutorial walks through creating a Python program that scrapes product links, names, and images from a Taobao store, logs the process, exports the data to Excel, and provides a user‑friendly Tkinter GUI for searching and controlling the scraper.
This article explains how to configure logging in Spring Boot, covering supported versions, log levels, available logging frameworks, default Logback setup, code usage with Lombok, customizing log levels, directing output to files, formatting patterns, and detailed Logback XML configuration.
This article examines the fundamental differences between traditional disk‑based DBMS and modern in‑memory databases, covering buffer management, lock versus latch mechanisms, logging and recovery, performance overhead, historical evolution, and architectural innovations that enable high‑performance memory‑resident data processing.
Version 1.19 of Kubernetes, released after a 20‑week cycle, introduces a year‑long support window, storage capacity tracking, generic ephemeral volumes, CSI health monitoring, GA Ingress, structured logging with klog, kubelet TLS certificate rotation, plus numerous features graduating to stable and major enhancements across scheduling, security, and API design.
Kubernetes 1.19, released after a 20‑week cycle, introduces a one‑year support window, storage capacity tracking, generic ephemeral volumes, CSI health monitoring, Ingress reaching GA, structured logging, new klog methods, and kubelet TLS certificate rotation, while providing extensive release notes and ecosystem updates.
Kubernetes 1.19, released after a 20‑week cycle, introduces a year‑long support window, storage capacity tracking, generic ephemeral volumes, CSI health monitoring, Ingress GA, structured logging, new klog methods, kubelet TLS certificate rotation, and dozens of other stable and major feature updates.
This tutorial explains how to download Docker images for Elasticsearch, Kibana, and Logstash, create a Docker‑Compose configuration file, launch the ELK stack containers, verify their operation, customize Logstash to monitor log files, and finally use Kibana to search and analyze the collected logs.
This tutorial walks through installing and configuring Filebeat, Kafka, Logstash, Elasticsearch, and Kibana, detailing version requirements, file permissions, YAML settings, startup commands, topic verification, and how to ingest and visualize log data in Kibana.
This article presents a comprehensive design for a WeChat Mini Program frontend error monitoring system, covering background challenges, architectural and process design, SDK implementation, reporting mechanisms, and a visualized backend to help developers quickly locate and resolve runtime exceptions.
This article explains the motivations behind choosing Loki over traditional ELK/EFK stacks for container cloud logging, outlines ELK's drawbacks, describes Loki's cost‑effective architecture and components such as Distributor, Ingester, and Querier, and highlights its scalability in cloud‑native environments.
This guide explains Docker's two log types, how to locate engine logs on various Linux distributions, how to use the docker logs command, and provides detailed configuration examples for each Docker log driver—including local, json‑file, syslog, and journald—plus strategies for handling file‑based container logs in production environments.
This article presents a practical case study of front‑end error monitoring for a real‑estate broker web site, detailing the background problem, pain points, analysis, design adjustments, code implementations, data collection, reporting strategies, and the resulting improvements in issue‑resolution efficiency.
This article explains how Loki, a lightweight Grafana‑based log system, addresses the heavy resource usage and complexity of ELK/EFK in Kubernetes environments by simplifying architecture, reducing cost, and improving log‑metric integration for faster incident response.
This article explains the motivations behind Loki, its architecture and components, how it reduces the cost and complexity of log and metric querying compared to ELK, and details its write‑read pipeline, scalability, and integration with Kubernetes and Prometheus.
This article explores the principles and practical guidelines for designing error codes, comparing log‑oriented and external‑facing standards, analyzing numeric versus alphanumeric formats, and presenting recommended structures to improve traceability, memorability, and cross‑team communication in modern backend systems.
This article demonstrates how to use MyBatis to update records with sub‑queries, batch‑insert list‑type attributes, defines the related Java bean, and implements a Spring servlet filter (with request and response wrappers) to log request parameters and response results.
iQiyi’s full‑link automated monitoring platform unifies tracing, metric and log collection with deep offline and real‑time analysis, delivering a DAG‑based call graph, near‑real‑time ingestion of tens of millions of logs, multi‑dimensional alerts and rapid root‑cause diagnosis that cut error‑lookup time by over 50 % and now serves as a core component of the company’s microservice reference architecture.
This article examines common operation‑log types and compares two implementation approaches—traditional AOP with annotations and a database binlog‑based solution—detailing their advantages, drawbacks, code examples, database design, future enhancements, and practical deployment considerations.
This guide explains how to enable gzip compression, set cache headers, activate HTTP/2, fine‑tune logging, and apply rate‑limiting in NGINX to dramatically reduce bandwidth consumption while improving site performance and server efficiency.
This guide explains how to use the Arthas logger command to change Java logger levels on‑the‑fly without restarting the JVM, demonstrates a complete Log4j2 XML configuration, and provides a runnable Java example that continuously emits logs at various levels.
This article provides a concise Laravel Log quick reference, detailing the seven RFC‑5424 log levels, usage examples, how to retrieve the Monolog instance, add listeners, and enable and fetch SQL query logs, followed by motivational reflections on perseverance and growth.
This article outlines six frequent code review pitfalls—including missing change notes, overusing generic exception handling, blind trust in third‑party inputs, overly broad variable scopes, lack of staged results, and excessive logging—and offers practical recommendations to improve code quality and maintainability.
Sentinel 1.7.2 introduces a Logger SPI extension, Zuul 2.x gateway flow‑control, SOFARPC adaptation, and numerous other enhancements, expanding its microservice, API gateway, and service‑mesh support across Java, C++, and Go ecosystems.
This article shares practical experiences from a large internet company's containerization project, covering monitoring strategies, logging pipelines, Helm-based continuous delivery, Mutating Admission Webhook sidecar injection, custom PodIP via Calico, GoCron task scheduling, event collection, and resource‑time simulation techniques.
This step‑by‑step guide shows how to provision a single‑node Elastic Stack with TLS‑enabled authentication, configure Kibana and Filebeat modules, and verify distributed log collection in a Vagrant‑based CentOS 8 environment.
This article provides comprehensive API design guidelines covering routing naming conventions, request methods, parameter structures, security measures, response formats, signature design, logging platform setup, and idempotency strategies to help backend developers create consistent and reliable interfaces.
This article explains how to replace Flink's default Log4j logger with Logback by adding Maven dependencies, excluding transitive Log4j artifacts, updating Flink's lib directory, and customizing Logback XML configurations including a rolling file appender and optional email alerts.
This article explains why log collection in Kubernetes is more complex than on traditional VMs, compares passive and active collection methods, evaluates stdout versus file output, and provides practical recommendations and deployment guides for small, medium, and large clusters.
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.
