This article explains how to create a Spring Boot AOP request‑logging aspect that captures request parameters, execution time, results, and errors, while also adding trace‑ID support for easier debugging in high‑concurrency environments.
This article explains how to create the open‑source pm2-intercom-log4js tool to reliably synchronize log4js output in PM2’s multi‑process mode, covering log4js’s sync mechanism, PM2 process management, IPC communication, and alternative messaging approaches with practical code examples.
Observability is more than just combining metrics, traces, and logs; successful implementation requires the disciplined SRE methodology, AI‑driven AIOps capabilities, and a deep understanding of business architecture to define critical paths and layered SLOs for real‑world systems.
This article examines fifteen common Java pitfalls and best‑practice guidelines—ranging from property copying and date formatting to HashMap sizing, thread‑pool creation, collection handling, logging, and serialization—explaining why each recommendation exists and how it impacts performance and safety.
This guide explains how to create a custom annotation and an Aspect in Spring to capture detailed operation logs—including description, table name, parameters, user info, and execution result—and persist them to a database, covering AOP terminology, configuration styles, and complete code examples.
This article recounts NetEase's journey from early host‑based log collection to operator‑driven Kubernetes logging, discusses the challenges of large‑scale log ingestion, evaluates existing agents, and introduces the open‑source Loggie project with its architecture, features, performance gains, and roadmap.
The article explains why unified log structures and traceId identifiers are essential for quickly locating bugs in high‑traffic backend services, provides a Java LogObject example, demonstrates chain‑style setters, shows how to combine request and response in one log entry, and compares manual logging with AOP‑based approaches for performance and maintainability.
This article explains how to build a comprehensive monitoring system for both infrastructure and applications, introducing the USE (Utilization‑Saturation‑Errors) method, key performance metrics, and practical components such as Prometheus, Grafana, full‑link tracing, and the ELK stack to detect and diagnose performance bottlenecks.
This article explains what MDC is, its API, common pitfalls like traceId loss in child threads and HTTP calls, and provides practical solutions using custom thread pool wrappers and interceptors for HttpClient, OkHttp, and RestTemplate to reliably propagate trace identifiers.
This guide explains why Apache-related logs appear in the console when integrating Tinylog with Spring Boot and shows how to hide them by setting the appropriate logging level for the offending package, such as disabling org.apache.catalina logs.
JetBrains announced that the IntelliJ platform will discontinue Log4j usage, recommending java.util.logging as the standard logging framework, and provides detailed migration steps, security reasons, and version information for developers to adapt their plugins and dependencies.
This article investigates whether the Mapped Diagnostic Context (MDC) in Java logging can lead to memory leaks by analyzing its ThreadLocal implementation, running multiple thread‑pool scenarios, and comparing the findings with classic ThreadLocal leak cases.
This guide provides a comprehensive overview of the Tars microservice framework, covering its core concepts, deployment methods across various environments, configuration management, service discovery, logging, monitoring, and operational features such as gray releases and circuit‑breaker strategies.
This guide explains how to configure Python's logging.handlers.SMTPHandler to email log messages, why QQ enterprise and Gmail require SSL instead of TLS, and provides a complete logging.conf example with sample code to avoid common pitfalls.
This article explains how to monitor, collect, and analyze real‑time logs, use multi‑dimensional metrics, perform local debugging, and enable cloud‑edge debugging for Spring Boot applications running on a Serverless platform, providing step‑by‑step commands and visual guides.
This article explains how to design and implement a terabyte‑level log monitoring platform using ELK Stack, FileBeat, Elastic APM, Kafka Streams, Prometheus, and Grafana, covering data collection, filtering, visualization, and resource‑efficient processing for large‑scale microservice environments.
This article explains how Sentry Relay logs to stderr, configures error reporting, provides health‑check endpoints, and exports a comprehensive set of metrics—including counters, timers, and gauges—to a StatsD server for enterprise‑grade data security monitoring.
This article details the configuration file location, command‑line overrides, and all available Relay settings—including mode, networking, caching, size limits, logging, metrics, and internal error reporting—providing a comprehensive reference for deploying Sentry Relay in production environments.
This article explains the concept of MDC (Mapped Diagnostic Context) in Java logging, details its API, demonstrates how to propagate traceId across threads and HTTP calls using interceptors and custom thread‑pool wrappers, and shows how to configure log patterns to include the traceId.
Learn how to replace Spring Boot 2.x's default Logback logging with the high‑performance Log4j2 by adding the starter dependency, configuring the logging file, and setting up a basic log4j2.xml, including code snippets and troubleshooting tips for a smooth migration.
This guide explains how Spring Boot handles logging through Commons Logging, recommends using SLF4J as a facade, shows code examples, details log elements, demonstrates how to enable DEBUG, configure console colors, file output, rolling policies, level control, and custom formats for effective backend logging.
This article explains how to create a custom logging solution in Spring by defining annotation-based AOP aspects, configuring pointcuts, handling various advice types, and persisting log details such as user, operation, parameters, and results into a database using Java code examples.
This article explains how to configure Python's logging.handlers.SMTPHandler to send log messages via email, addresses common authentication timeout issues with QQ corporate mail by using TLS/SSL connections, and provides a complete logging.conf example with a test script.
This guide explains how to create a custom Spring AOP logging solution by defining a @SystemCrmlog annotation, extracting its parameters via pointcuts, and persisting detailed log entries—including user, method, parameters, and execution results—to a database using aspect advice methods.
This article explains Docker and Kubernetes logging challenges, compares logging drivers, and presents a unified, node‑agent based logging architecture using S6‑based containers, Filebeat, logrotate, Kafka, and Elasticsearch to achieve reliable, auto‑rotating log collection in production environments.
Apache Log4j 2.17.0 has been released, addressing CVE‑2021‑45105 and fixing recursive string‑replacement vulnerabilities that could cause StackOverflowError DoS attacks, while also tightening JNDI usage and correcting several configuration and appender issues, with recommended mitigation steps for earlier versions.
Apache Log4j 2.16.0 has been released, offering updated SLF4J adapters, disabling JNDI by default to mitigate CVE‑2021‑44228, removing message lookups, and requiring Java 8+, with detailed upgrade instructions and links to download and issue trackers.
This article introduces MDC, explains its API and advantages, and provides practical solutions for traceId propagation in multithreaded environments, HTTP calls, and custom thread pools using Java logging frameworks such as Log4j, Logback, and Log4j2.
This article explains what MDC is, the problems it faces such as traceId loss in child threads and HTTP calls, and provides concrete solutions including interceptor implementation, thread‑pool wrappers, and logging pattern adjustments to ensure reliable traceId propagation in Java backend services.
This article explains how to use SLF4J's MDC feature to attach a request ID to log entries, enabling fast filtering of all logs belonging to a single request even across asynchronous threads and thread pools, and shows a decorator‑based solution for proper propagation.
This article explains how to add a base controller method in ThinkPHP6 that detects search engine spider user‑agents, builds the request URL, obtains the real client IP, and stores the spider name, URL, and IP into a BaiduLog model for logging purposes.
This article breaks down the widely publicized Log4j2 (Log4Shell) flaw, explaining the underlying JNDI and LDAP lookup mechanisms, how malicious payloads are executed through log messages, the massive impact across Java ecosystems, and the steps needed to remediate the issue.
This article explains why multiple Java logging frameworks often clash in SpringBoot and Dubbo applications, identifies common causes such as transitive dependencies and duplicate versions, and provides step‑by‑step Maven configurations and adaptation techniques to unify logging with SLF4J and Logback.
This article outlines ten practical habits for developers, from relying on official documentation and thorough testing to effective logging, Git mastery, prioritizing functionality, handling ambiguous requirements, proactive problem‑solving, scheduling buffers, hands‑on learning, and improving English for better access to technical resources.
This guide explains how to use Filebeat to ship logs to Graylog, covering Filebeat's architecture, configuration files, deployment options with Docker or native packages, Graylog's components and pipelines, and step‑by‑step Docker‑compose setup for a scalable centralized logging solution.
During the COVID‑19 surge, web traffic spiked dramatically, prompting a detailed guide on five practical Nginx configuration changes—enabling Gzip compression, setting cache headers, activating HTTP/2, streamlining logging, and limiting bandwidth—to dramatically reduce bandwidth usage and improve site responsiveness.
This article provides an in‑depth overview of Apache Log4j2, comparing it with Logback and Log4j 1, highlighting its superior asynchronous performance, zero‑GC operation, flexible configuration formats, rich appender ecosystem, and practical code examples for Maven integration, XML setup, and advanced logging techniques.
This article demonstrates how to employ SLF4J's MDC to attach a request identifier to log entries, enabling efficient filtering of all logs belonging to a single request even across asynchronous threads and thread pools, and shows an advanced decorator‑based solution for proper MDC propagation.
This article introduces Loguru, a third‑party Python logging library, explains why it simplifies logging compared to the standard logging module, outlines its key features such as out‑of‑the‑box setup, async safety, lazy evaluation, and file rotation, and provides practical code examples for quick integration into scripts, libraries, and frameworks.
This article explains how to implement clean, decoupled operation logs in Java applications using AOP, SpEL, custom annotations, and dynamic templates, covering use cases, implementation methods, code examples, parsing logic, context handling, and integration with Spring Boot.
This guide explains how MyBatis initializes its logging factory, shows how to add SLF4J and Log4j dependencies, configure SimpleLogger properties, resolve multiple SLF4J bindings, and switch the logging implementation via mybatis-config.xml and log4j.properties, with full code examples and sample output.
This article provides an in‑depth overview of Logback, covering its core modules, component relationships, configuration files, code examples for console, file, and rolling appenders, as well as practical integration tips for Spring Boot and servlet containers.
This article explains how Spring AOP annotations such as @Before, @After, @Around and @AfterReturning are defined, demonstrates their usage with concrete Java code, analyzes why @Around may be invoked twice, and provides the correct implementation and execution flow of advice methods.
This article shares a comprehensive guide to building robust logging systems for Node.js backend services, covering log types, storage options, performance considerations, full‑trace design, custom field schemas, integration with cloud log platforms, and practical troubleshooting examples.
This article introduces the Loguru library as an elegant, concise alternative to Python's built‑in logging, demonstrating installation, basic usage, file configuration, formatting, filtering, rotation, retention, compression, serialization, and advanced exception tracing with code examples.
This article explains Java logging fundamentals, the purpose of each log level, practical best‑practice guidelines, and how to implement a custom Logback appender that injects request IDs for effective distributed debugging and seamless ELK integration.
This article walks through a real‑world Java logging slowdown, explains how to benchmark the code with JMH, and shows step‑by‑step usage of Arthas commands like monitor, trace, and watch to pinpoint the exact cause of the performance regression.
This article chronicles a recent graduate’s year‑long journey mastering cloud‑native technologies, detailing the design and implementation of a multi‑cluster Kubernetes architecture, unified logging, CI/CD pipelines, service governance with Istio, and private deployment strategies for a 3D editor platform.
This article introduces Loguru, a powerful third‑party Python logging library, explains why it simplifies logging compared to the standard logging module, outlines its key features such as out‑of‑the‑box setup, asynchronous support, lazy evaluation, and structured logging, and provides practical code examples and integration tips for scripts, libraries, and Flask applications.
This guide walks you through setting up a complete log‑collection and visualization pipeline—preparing servers, configuring a SpringBoot application with Log4j2, routing logs to Kafka, harvesting them with Filebeat, processing with Logstash, and finally visualizing in Elasticsearch and Kibana.
Effective logging is crucial for debugging and accountability; this guide presents fifteen practical recommendations—from selecting appropriate log levels and formatting to using SLF4J, asynchronous output, and avoiding common pitfalls—designed to help Java developers write clear, performant, and maintainable logs.
This article explains the limitations of Docker's default JSON‑file logging, introduces S6‑based container log redirection, compares Kubernetes logging approaches at pod, node, and cluster levels, and presents a full‑stack architecture using Filebeat, Kafka, Elasticsearch, and Logstash for reliable, rotatable log collection.
This article explains how the Linux kernel's printk function stores messages in a ring buffer, how those messages are exposed to user space via dmesg, /proc/kmsg, klogctl, and the system console, and why understanding this flow is crucial for developers and operators.
This article analyzes why our Kubernetes clusters were constantly unstable—citing an erratic release process, missing monitoring, logging, documentation, and unclear request routing—and presents a comprehensive solution that includes a Kubernetes‑centric CI/CD pipeline, federated monitoring, centralized logging, a documentation hub, and integrated traffic management.
This article introduces Loki, a lightweight log aggregation system for Kubernetes, explains its background and motivations, details its simple architecture and core components (Distributor, Ingester, Querier), discusses scalability and storage options, and provides step‑by‑step deployment instructions with example YAML and shell commands.
This article presents 15 practical logging best‑practice recommendations for Java developers, covering log level selection, formatting, conditional logging, performance‑friendly placeholders, asynchronous output, proper exception handling, and log file organization to improve debugging efficiency and maintainable production systems.
The article analyzes the instability of a company's Kubernetes clusters, identifies root causes such as an unstable release process, lack of monitoring, logging, documentation, and unclear request routing, and proposes comprehensive solutions including a Kubernetes‑centric CI/CD pipeline, a federated Prometheus monitoring platform, an Elasticsearch logging system, a centralized documentation hub, and a unified traffic management architecture.
This article explains the motivations behind choosing Loki over ELK for container‑cloud logging, details Loki's lightweight architecture—including Distributor, Ingester, and Querier components—covers deployment steps on OpenShift/Kubernetes with YAML manifests, and demonstrates LogQL query syntax for efficient log retrieval.
This article walks through building a complete Java logging framework from scratch, covering the core LoggingEvent class, Appender abstraction, Level enumeration, hierarchical Logger design, context management, factory creation, and XML/YAML configuration parsing.
The article demonstrates how to implement elegant, business‑logic‑independent operation logging in Java back‑ends by using AOP‑driven annotations, SpEL dynamic templates, custom parse functions, thread‑local context, and a Spring Boot starter, offering flexible persistence and automatic operator retrieval.
This guide walks beginners through a structured learning path for Kubernetes, covering fundamentals, core components, key objects, controllers, storage, networking, resource management, security, cluster operations, backup, logging, monitoring, DevOps practices, and deeper topics like architecture, source code, and operator development.
This article explains how the Linux kernel's printk function stores messages in a ring buffer, how those messages are exposed to user space via dmesg, /proc/kmsg, and klogctl, and why developers should monitor kernel logs to diagnose system issues.
This article analyzes why a company's Kubernetes clusters were constantly on the brink of failure and presents a comprehensive solution covering CI/CD pipeline reconstruction, federated monitoring with Prometheus, centralized logging via Elasticsearch, documentation centralization, and clarified request routing to achieve high reliability.
This article explains how Baidu's search middle‑platform adopts cloud‑native observability—covering metrics, distributed tracing, log querying, and topology analysis—to ensure high availability, performance, and controllability for a system handling hundreds of billions of requests across millions of micro‑service instances.
This step‑by‑step guide explains how to set up the open‑source ELK stack (Elasticsearch, Logstash, Kibana) on an Ubuntu machine, configure Logstash as shipper and indexer, integrate Spring Boot and Nginx logs, and run the whole platform as a background service using Supervisor.
Over the past year, the author chronicles a hands‑on journey from a fresh graduate to a cloud‑native specialist, detailing the design and implementation of an enterprise‑grade Kubernetes architecture—including multi‑cluster logging, CI/CD pipelines, Istio service mesh, monitoring, and private‑deployment strategies—while sharing practical lessons learned.
This article explains Spring Boot's default logging setup using SLF4J and Logback, demonstrates how to view log levels in a test class, shows how to modify log levels via application properties, and details the underlying XML configuration files and how to customize them for different environments.
The article analyzes why a company's clusters were unstable—unstable release process, missing monitoring and logging, insufficient documentation, and unclear request routing—and proposes a comprehensive solution built around Kubernetes‑centric CI/CD, a federated Prometheus monitoring platform, Elasticsearch logging, centralized documentation, and Kong/Istio traffic management.
This article explains the motivation behind choosing Grafana Loki over ELK for container‑cloud logging, details Loki's lightweight architecture and components, provides step‑by‑step OpenShift deployment instructions, and introduces LogQL syntax for efficient log queries.
This guide introduces the Rich Python library, showing how to install it, use its enhanced print function, create custom consoles, log output, render tables, progress bars, columns, markdown, syntax highlighting, emojis, and beautiful tracebacks for richer terminal applications.
This article provides a step‑by‑step guide to installing and configuring the ELK stack (Elasticsearch, Logstash, Kibana) on macOS and Linux, explains why ELK is useful for large‑scale log collection and analysis, and shares common pitfalls and troubleshooting tips.
This guide outlines practical steps for maintaining Kubernetes nodes, configuring pods, standardizing logging, and implementing effective monitoring and alerting to ensure stable, secure, and observable workloads in production environments.
This step‑by‑step guide shows how to configure a Spring Boot application with Log4j2, ship logs via Filebeat to Kafka, process them with Logstash, and visualize the data in Elasticsearch and Kibana, covering server setup, Maven dependencies, configuration files, and deployment commands.
This article explores effective logging strategies in Node.js, comparing active console output with passive library-based recording, introducing popular modules such as debug and util.debuglog, detailing log format components, and demonstrating context-aware logging implementations to improve debugging and operational monitoring.
This article explains why observability is essential for DevOps, outlines four key practices—including production‑environment monitoring, structured logging, a DevOps‑focused culture, and pre‑deployment observability with remote debugging—to help teams detect, diagnose, and prevent issues throughout the software lifecycle.
Learn how to quickly set up the ELK stack (Elasticsearch, Logstash, Kibana) using Docker on a Windows 10 VirtualBox VM, configure Filebeat, and verify log collection and visualization, with detailed commands, configuration files, and troubleshooting tips for a complete operational experience.
This article explains how Log4j2's RollingFileAppender works, covering the concepts of rollover, the various TriggeringPolicy options, DefaultRolloverStrategy behavior, DeleteAction configuration, and provides sample XML configurations and a Java demo to illustrate time‑based, size‑based, and composite rollover scenarios.
This article explains how to identify and resolve Redis slow queries by using the slow query log, understanding command complexity, replacing inefficient commands with more efficient alternatives, and configuring slowlog parameters for optimal performance.
In this talk, Gal Bashan explains how serverless architectures complicate observability and why metrics, logs, and especially distributed tracing with tools like OpenTelemetry, Jaeger, or commercial platforms are essential for gaining end-to-end visibility, automating instrumentation, and maintaining reliable, business-focused services across cloud providers.
This article explains practical Nginx configuration tweaks—including enabling gzip compression, setting cache headers, activating HTTP/2, optimizing logging, and limiting bandwidth—to reduce bandwidth usage and server load, illustrated with code examples and performance impact calculations for typical web traffic.
This guide walks through the concepts of ELK, why log management is essential for Kubernetes, three collection strategies, required log fields, and step‑by‑step deployment of Elasticsearch, Kibana, Filebeat, and Logstash—including YAML manifests, configuration snippets, and Kibana UI setup—for a fully operational, cloud‑native logging solution.
This article presents a practical, out‑of‑the‑box ELK‑based solution for private deployments, detailing design principles, rapid one‑click setup with Jenkins, component choices, log and metric collection using Beats, alerting with ElastAlert, and automated Kibana dashboard configuration.
This guide walks you through installing and configuring the ELK stack—Elasticsearch, Logstash, and Kibana—on Ubuntu, setting up Logstash shipper and indexer pipelines, integrating Spring Boot and Nginx logs, and managing the services with Supervisor for reliable, real‑time log analysis.
This article introduces the lightweight Go microservice framework Kratos, covering its Protobuf‑driven API design, open and extensible architecture, logging and tracing integrations, functional‑option configuration, unified error model, and compile‑time dependency injection with code examples and diagrams.
This article demonstrates how to use Spring AOP to create a request‑logging aspect that captures request parameters, response data, execution time, and error information, while also addressing high‑concurrency logging issues and integrating trace‑ID tracking for easier debugging.
This article outlines how to design, print, collect, and manage online service logs efficiently—covering log levels, key information, formatting, rolling, local vs. remote storage, real‑time collection, and tool selection—to turn logs into a valuable debugging and analytics asset.
This article introduces the Rich Python library, explains its cross‑platform compatibility, provides step‑by‑step installation instructions, demonstrates how to use its enhanced print, console, logging, table, progress bar, column, markdown, and syntax‑highlighting features, and includes numerous code examples and screenshots.
This article explains how the BizLog component records who performed which action at what time in Spring Boot applications, covering Maven setup, annotation usage, custom operators, detail fields, category segregation, SpEL expressions, custom parse functions, and extension points for persistence and operator retrieval.
This article outlines essential Kubernetes operational practices—including node maintenance, kernel upgrades, Docker and kubelet tuning, pod resource limits, scheduling strategies, health probes, logging standards, and monitoring setups—to ensure applications run reliably, securely, and efficiently in production environments.
This guide explains why Nacos generates massive access logs, shows how to disable the Tomcat access log via configuration, provides a cron script for log cleanup, demonstrates dynamic log‑level adjustment through API calls, and details fine‑grained logback settings for better log management.
The article introduces retrofit‑spring‑boot‑starter, a lightweight HTTP client framework for Spring Boot that simplifies HTTP request management by integrating Retrofit with features such as custom OkHttpClient injection, annotation‑driven interfaces, global and path‑based interceptors, retry logic, logging, circuit‑breaker support, connection‑pool configuration, and flexible call‑adapter and converter factories.
This tutorial walks through creating a Flask‑based search engine powered by Elasticsearch, covering configuration files, logging setup, blueprint routing, pagination, detail views, and deployment options using Flask‑Script and Gunicorn, with complete code examples and a GitHub reference.
To boost iQIYI’s front‑end reliability, the team replaced a Velocity‑based SSR with Nuxt, introduced a centralized page‑config plugin, streamlined legacy‑browser handling, built a visual data‑filtering API, implemented Nginx and component caching, purge endpoints, multi‑layer rate limiting, disaster‑recovery fallback, and comprehensive logging, achieving ~0.5 s first‑screen loads, 0.2 % error rate and near‑100 % availability.
This article explains why the ELK stack is useful for large‑scale log collection and analysis, then provides detailed installation, configuration, and integration steps for Elasticsearch, Logstash, and Kibana on both macOS and Linux, including common pitfalls and memory‑tuning tips.
This article demonstrates how to use Spring AOP to create a request‑logging aspect that captures IP, URL, HTTP method, parameters, results, execution time, and error details, while also addressing high‑concurrency logging issues and integrating trace‑ID tracking for easier debugging.
This tutorial walks you through why ELK is essential for large‑scale log collection, shows a simple architecture diagram, and provides detailed installation and configuration steps for Elasticsearch, Logstash, and Kibana on both macOS and Linux, including common pitfalls and Java integration.
This article explains how Log4j2's RollingFileAppender works, covering the roles of TriggeringPolicy and RolloverStrategy, showing various filePattern configurations, detailing the DefaultRolloverStrategy max parameter, introducing DeleteAction for custom file cleanup, and providing Java demo code and test configurations.
This guide explains how to configure comprehensive JVM garbage-collection logging—including basic GC details, object age distribution, heap snapshots, pause times, safepoint statistics, and reference processing—while using timestamped filenames and JVM log rotation to avoid overwriting and manage file size effectively.
Logback, the open‑source logging framework created by the log4j founder, offers faster performance, extensive testing, native SLF4J support, flexible configuration, automatic reload, advanced appenders and rolling policies, making it a superior replacement for log4j in modern Java backend applications.
This article walks through a cloud-native approach to collect Kubernetes container logs using Fluentd and forward them to Loki, covering why Fluentd is chosen, required plugins, Docker log handling, multi-worker configuration, metadata filtering, label customization, and Loki output settings.
