log optimization

iQIYI Technical Product Team

Jul 28, 2023 · Operations

Distributed System Log Printing Optimization and Performance Evaluation

The study evaluates log4j2 and logback performance, recommends asynchronous logback for high‑concurrency workloads, demonstrates latency reductions in a production service, and introduces a TraceContext‑based flag to share logging state across micro‑services, cutting daily log volume by ~80 % and easing distributed system overhead.

Distributed SystemsLogbackPerformance Testing

0 likes · 16 min read

Distributed System Log Printing Optimization and Performance Evaluation

Architecture Digest

Dec 31, 2022 · Operations

Log Size Reduction Techniques: Methodology and Case Study

This article explains why excessive INFO‑level logs can cause performance problems, presents three practical strategies—printing only necessary logs, merging log entries, and simplifying log content with code examples—and demonstrates their impact through a real‑world Java bean pipeline case that cuts daily log volume from about 5 GB to under 1 GB.

JavaLoggingOperations

0 likes · 7 min read

Log Size Reduction Techniques: Methodology and Case Study

Architecture Digest

Aug 8, 2022 · Operations

Log Shrinking Techniques and Case Study for Reducing Log Size

This article explains why oversized logs hurt system performance, presents three practical log‑shrinking strategies—printing only necessary logs, merging duplicate entries, and simplifying content—illustrates them with Java code snippets, and evaluates their impact through a real‑world case that cuts daily log volume from 5 GB to under 1 GB.

LoggingOperationsPerformance

0 likes · 7 min read

Log Shrinking Techniques and Case Study for Reducing Log Size

Selected Java Interview Questions

Jul 23, 2022 · Backend Development

Log Reduction Techniques for Backend Systems

This article discusses practical methods for reducing log volume in backend applications, including printing only necessary logs, merging log entries, simplifying messages, and applying these techniques in a real-world Java case to shrink daily log size from several gigabytes to under one gigabyte while preserving debugging capability.

JavaLoggingPerformance

0 likes · 7 min read

Log Reduction Techniques for Backend Systems

JD Tech

Nov 29, 2018 · Big Data

JD.com’s Big Data System Upgrade for the 11.11 Shopping Festival: Multi‑Region Scheduler, Intelligent Storage, Containerized Streaming, and Blockchain Traceability

The article details JD.com’s large‑scale big‑data system overhaul before the 11.11 shopping festival, highlighting a multi‑region Hydra Scheduler, intelligent storage policies, full containerization of the streaming platform, enhanced log reporting, and blockchain‑based traceability that together dramatically improve performance, stability, and user experience.

Big DataBlockchainContainerization

0 likes · 7 min read

JD.com’s Big Data System Upgrade for the 11.11 Shopping Festival: Multi‑Region Scheduler, Intelligent Storage, Containerized Streaming, and Blockchain Traceability