Tagged articles

asynchronous logging

25 articles · Page 1 of 1

Jul 22, 2026 · Backend Development

From Chaos to Control: A Complete Spring Boot Logging Guide with 8 Production Scenarios

The article analyzes why logging in modern Spring Boot microservices shifts from a simple debug tool to a critical data pipeline, compares Logback and Log4j2 async setups, reveals hidden costs and risks, and walks through eight concrete production scenarios to build a controllable, high‑performance logging architecture.

KubernetesSpring Bootasynchronous logging

0 likes · 25 min read

From Chaos to Control: A Complete Spring Boot Logging Guide with 8 Production Scenarios

Java Tech Workshop

Jun 29, 2026 · Backend Development

Zero‑Intrusion AOP for Global API Logging in Spring Boot

The article explains how to implement a zero‑intrusion, AOP‑based global API logging solution for Spring Boot applications, addressing common issues of manual logging such as code clutter, missing logs, inconsistent formats, privacy leaks, and performance overhead by using repeatable request wrappers, configurable filters, structured DTOs, asynchronous persistence, and comprehensive trace and desensitization utilities.

AOPAPI LoggingRequest Wrapper

0 likes · 19 min read

Zero‑Intrusion AOP for Global API Logging in Spring Boot

Spring Full-Stack Practical Cases

Jun 23, 2026 · Backend Development

One Bad Log Can Halve Spring Boot Throughput – How to Log Without Losing Performance

The article explains why effective logging is crucial for Java applications, compares proper and improper logging practices with SLF4J and Logback, and provides fourteen concrete best‑practice guidelines—including correct logger setup, level usage, placeholders, asynchronous and structured logging—to avoid performance degradation and security risks.

Spring Bootasynchronous loggingjava

0 likes · 14 min read

One Bad Log Can Halve Spring Boot Throughput – How to Log Without Losing Performance

IT Services Circle

Jan 15, 2026 · Backend Development

10 Logging Best Practices Every Java Backend Engineer Should Follow

This article presents ten practical rules for producing clean, searchable, and performance‑friendly logs in Java applications, covering unified formatting, stack traces, log levels, complete parameters, data masking, asynchronous writing, traceability, dynamic log levels, structured storage, and intelligent monitoring with concrete code snippets and configuration examples.

asynchronous loggingbest practiceslogback

0 likes · 10 min read

10 Logging Best Practices Every Java Backend Engineer Should Follow

Code Wrench

Jul 13, 2025 · Backend Development

Boost Go Web Performance with Asynchronous Logging via Channels and Middleware

This article explains how to build a high‑performance asynchronous logging system for Go web services using channels and middleware, covering both gRPC and Gin implementations, a log‑processing engine, performance‑tuning tips, and measured latency and CPU improvements.

ChannelsGinasynchronous logging

0 likes · 7 min read

Boost Go Web Performance with Asynchronous Logging via Channels and Middleware

dbaplus Community

Jun 1, 2025 · Backend Development

Why Log4j2 Async Logging Blocks Threads and How to Fix It

This article examines Log4j2 asynchronous logging bottlenecks, explains the underlying Disruptor queue mechanics, identifies root causes of thread blocking, and presents practical strategies—including queue tuning, log classification, bytecode instrumentation, and IDE plugins—to achieve fine‑grained, performant log control.

DisruptorIDE pluginLog Management

0 likes · 12 min read

Why Log4j2 Async Logging Blocks Threads and How to Fix It

Sanyou's Java Diary

Apr 17, 2025 · Backend Development

Why Does Log4j2 Async Logging Block Threads? Deep Dive & Solutions

Log4j2’s asynchronous logging can cause thread blocking when the Disruptor ring buffer fills, a problem explored through its architecture, root causes, and practical mitigation strategies such as dual‑track log classification, bytecode‑enhanced line‑level control, Maven plugins, and IDE integrations for dynamic log management.

asynchronous loggingjavalog4j2

0 likes · 13 min read

Why Does Log4j2 Async Logging Block Threads? Deep Dive & Solutions

Zhuanzhuan Tech

Apr 16, 2025 · Backend Development

Analyzing Log4j2 Asynchronous Logging Blocking and Strategies for Fine-Grained Log Control

This article examines the causes of Log4j2 asynchronous logging blockage in high‑throughput Java services, explains the underlying Disruptor mechanics, and proposes a dual‑track logging architecture with compile‑time bytecode enhancement and IDE plugins for line‑level log activation.

Logging Strategyasynchronous loggingjava

0 likes · 15 min read

Analyzing Log4j2 Asynchronous Logging Blocking and Strategies for Fine-Grained Log Control

JD Tech Talk

Dec 19, 2024 · Backend Development

Optimizing Log4j2 Asynchronous Logging: Configuration, Diagnosis, and Load‑Testing

This article presents a detailed case study of a severe service outage caused by Log4j2 asynchronous logging bottlenecks, explains step‑by‑step diagnostics of JVM, disk, and RingBuffer metrics, and demonstrates how adjusting log4j2.asyncQueueFullPolicy and log4j2.discardThreshold dramatically improves recovery time during load testing.

ConfigurationRingBufferasynchronous logging

0 likes · 14 min read

Optimizing Log4j2 Asynchronous Logging: Configuration, Diagnosis, and Load‑Testing

JD Cloud Developers

Dec 19, 2024 · Backend Development

How Discard Policy and Error Threshold Rescue Java Services During Log Overload

This article analyzes a severe service‑availability drop caused by Log4j2 asynchronous logging bottlenecks, explains how configuring log4j2.asyncQueueFullPolicy=Discard and log4j2.discardThreshold=ERROR mitigates the issue, details the investigation steps, performance tests, and provides practical recommendations for robust backend logging.

Java BackendPerformance Testingasynchronous logging

0 likes · 15 min read

How Discard Policy and Error Threshold Rescue Java Services During Log Overload

Top Architect

Dec 1, 2024 · Backend Development

Diagnosing Slow Asynchronous Log Printing in Java: From Mapping Overhead to Disruptor and JNI Analysis

This article investigates why a large number of quality‑check mappings cause severe latency in a Java service, traces the slowdown to excessive asynchronous log printing, explains the Disruptor‑based async logger internals, evaluates stack‑trace location handling and JNI overhead, and proposes practical configuration and code‑level fixes.

DisruptorJNIasynchronous logging

0 likes · 20 min read

Diagnosing Slow Asynchronous Log Printing in Java: From Mapping Overhead to Disruptor and JNI Analysis

JD Tech

Jun 13, 2024 · Backend Development

Investigation of Log4j2 Asynchronous Logging Memory Growth and Mitigation Strategies

This article analyzes the memory increase observed after enabling Log4j2 asynchronous logging in Java services, examines root causes such as thread‑local reuse and large char[] allocations, and presents configuration and code changes—including disabling thread‑locals and limiting message size—to prevent heap growth and improve performance.

JVMasynchronous loggingjava

0 likes · 18 min read

Investigation of Log4j2 Asynchronous Logging Memory Growth and Mitigation Strategies

JD Cloud Developers

Oct 24, 2023 · Backend Development

How Switching to Async Log4j2 Can Double Your Application Throughput

This article analyzes a performance bottleneck caused by synchronous Log4j2 logging, demonstrates how converting to asynchronous logging with AsyncLogger or AsyncAppender dramatically reduces response time, increases TPS, and lowers CPU usage, and provides detailed configuration examples and best‑practice guidelines.

asynchronous logginglog4j2logging configuration

0 likes · 17 min read

How Switching to Async Log4j2 Can Double Your Application Throughput

dbaplus Community

Feb 7, 2023 · Backend Development

How We Cut Log4j2 Disk and CPU Usage by 90% in a High‑Traffic Shopping Cart

Facing massive log volume in JD.com’s shopping cart service, we reduced disk consumption, CPU load, and improved request latency by applying Log4j2 log level filtering, asynchronous logging with AsyncLogger, and TTL‑based thread‑local context propagation, while providing detailed metrics, configuration steps, and best‑practice recommendations.

TTLThreadLocalasynchronous logging

0 likes · 14 min read

How We Cut Log4j2 Disk and CPU Usage by 90% in a High‑Traffic Shopping Cart

Programmer DD

Jun 15, 2022 · Backend Development

Boost Spring Boot Performance: Master Logback Async Logging & File Segmentation

Learn how to configure Logback in Spring Boot to separate logs by level, implement asynchronous logging for reduced I/O latency, and verify performance gains—up to tenfold throughput improvement—using JMeter tests on a six‑core, 8 GB server, with detailed XML snippets and code explanations.

Performance Testingasynchronous loggingspring-boot

0 likes · 11 min read

Boost Spring Boot Performance: Master Logback Async Logging & File Segmentation

Top Architect

Mar 28, 2022 · Backend Development

Configuring Logback for Asynchronous Logging in Spring Boot and Performance Comparison

This article explains how to configure Logback in a Spring Boot application to separate logs by level, implement asynchronous logging with AsyncAppender, and compare performance using JMeter, demonstrating a tenfold throughput increase while providing detailed XML configuration examples and underlying implementation details.

Performance TestingSpringBootasynchronous logging

0 likes · 9 min read

Configuring Logback for Asynchronous Logging in Spring Boot and Performance Comparison

Java Backend Technology

Jan 21, 2022 · Backend Development

Boost Spring Boot Performance: Master Asynchronous Logback Configuration

This article explains how to configure Logback for asynchronous logging in Spring Boot, separates logs by level, reduces disk I/O, and demonstrates a performance test that shows a ten‑fold throughput increase compared to synchronous logging.

asynchronous logginglogbacklogging configuration

0 likes · 10 min read

Boost Spring Boot Performance: Master Asynchronous Logback Configuration

Programmer DD

Jan 6, 2022 · Backend Development

Boost Spring Boot Performance with Asynchronous Logback Logging

This article explains how to configure Logback in Spring Boot to separate logs by level, use asynchronous appenders to reduce I/O latency, and demonstrates a performance test showing a ten‑fold throughput increase, while also detailing the underlying async logging mechanism.

asynchronous logginglogbackperformance

0 likes · 9 min read

Boost Spring Boot Performance with Asynchronous Logback Logging

Programmer DD

Apr 18, 2021 · Backend Development

Why Log4j2 Beats Logback: Performance, Zero‑GC, and Advanced Features

Log4j2, the modern successor to Logback and Log4j 1, offers dramatically superior asynchronous performance, zero‑GC operation, flexible configuration formats, powerful parameter formatting, lazy logging via lambdas, and extensive appender support, making it the top choice for Java logging in high‑throughput applications.

Java loggingasynchronous logginglazy logging

0 likes · 11 min read

Why Log4j2 Beats Logback: Performance, Zero‑GC, and Advanced Features

Architecture Digest

Oct 19, 2020 · Backend Development

Performance Comparison of Logback and Log4j2 Synchronous vs Asynchronous Logging

This article revisits a previous logback configuration test, expands the sample size and repeats the measurements using JMeter, JProfile, and New Relic APM to compare synchronous and asynchronous logging in Logback and Log4j2, revealing that asynchronous logging reduces log latency but only marginally improves overall TPS, while Log4j2’s async implementation can boost TPS up to six times.

Performance Testingasynchronous loggingjava

0 likes · 8 min read

Performance Comparison of Logback and Log4j2 Synchronous vs Asynchronous Logging

Java Backend Technology

Aug 13, 2020 · Backend Development

Why Asynchronous Logging Doesn’t Boost TPS – Real Test Results with Logback and Log4j2

Through extensive JMeter and APM testing on a 6‑core, 8 GB server, this article reveals that switching Logback from synchronous to asynchronous logging yields minimal TPS improvement, explains why, and demonstrates that Log4j2’s async implementation can achieve up to six‑fold performance gains.

Performance Testingasynchronous loggingjava

0 likes · 8 min read

Why Asynchronous Logging Doesn’t Boost TPS – Real Test Results with Logback and Log4j2

Programmer DD

Sep 25, 2019 · Backend Development

Boost Spring Boot Performance: Master Logback Async Logging & File Separation

This article explains how to configure Logback in a Spring Boot application to separate logs by level into different files, implement asynchronous logging to reduce disk I/O, and demonstrates a performance test showing a ten‑fold throughput increase, while also detailing the underlying async mechanism.

Performance TestingSpring Bootasynchronous logging

0 likes · 10 min read

Boost Spring Boot Performance: Master Logback Async Logging & File Separation

Architect's Tech Stack

Sep 1, 2019 · Backend Development

Configuring Logback for Asynchronous Logging and Performance Testing in Spring Boot

This article explains how to configure Logback in a Spring Boot project to write logs to separate files by level, enable asynchronous logging to reduce I/O latency, and demonstrates a performance test that shows a ten‑fold throughput increase compared with synchronous logging.

Performance TestingSpringBootasynchronous logging

0 likes · 8 min read

Configuring Logback for Asynchronous Logging and Performance Testing in Spring Boot

Youzan Coder

Aug 9, 2019 · Backend Development

How Youzan Built a Scalable Task Center: Architecture, Idempotency, and Dynamic Config

This article explains why a task center is essential for merchants, outlines its goals, and details the backend architecture—including atomic APIs, Apollo-driven dynamic configuration, idempotent control, workflow orchestration, caching, and asynchronous logging—while also sharing future enhancements.

Backend ArchitectureDynamic ConfigurationIdempotency

0 likes · 8 min read

How Youzan Built a Scalable Task Center: Architecture, Idempotency, and Dynamic Config

Programmer DD

Dec 2, 2018 · Backend Development

Why Log4j2 Beats Logback: Real‑World Performance Test and Disruptor Secrets

An in‑depth performance comparison of Logback and Log4j2 shows how asynchronous logging and the Disruptor queue dramatically improve throughput, with benchmark data across various hardware, configuration tips, and a look at underlying queue implementations such as ArrayBlockingQueue versus Disruptor.

Disruptorasynchronous logginglog4j2

0 likes · 8 min read

Why Log4j2 Beats Logback: Real‑World Performance Test and Disruptor Secrets