Tagged articles
7 articles
Page 1 of 1
Liangxu Linux
Liangxu Linux
Aug 20, 2025 · Fundamentals

7 Insider Tricks to Slash Embedded Development Headaches

This guide shares practical embedded‑development hacks—from diplomatically blaming hardware issues and using the Linux devmem tool to read registers, to modular sensor driver design, safe pointer practices, and dynamic log‑level control—helping engineers reduce overtime and improve code maintainability.

devmemdynamic loggingembedded
0 likes · 6 min read
7 Insider Tricks to Slash Embedded Development Headaches
dbaplus Community
dbaplus Community
Feb 2, 2021 · Backend Development

How to Diagnose Disk‑Space Exhaustion During a Traffic Surge and Build a Dynamic Log‑Level Degradation Tool

During a high‑traffic promotion a service ran out of disk space because massive log files weren't cleaned, the investigation revealed a lingering SLS process holding deleted files, and the article walks through the root‑cause analysis, the kill‑process fix, and a Spring‑Boot starter that dynamically degrades log levels to prevent recurrence.

Log ManagementSpring Bootdisk space
0 likes · 20 min read
How to Diagnose Disk‑Space Exhaustion During a Traffic Surge and Build a Dynamic Log‑Level Degradation Tool
Meituan Technology Team
Meituan Technology Team
Feb 28, 2018 · Mobile Development

Holmes Dynamic Logging System for Mobile Apps: Automatic Instrumentation and Runtime Lua Scripting

Holmes is a zero‑cost dynamic logging system for Android apps that automatically instruments every method to emit trace logs, stores them locally, and lets developers remotely retrieve precise execution histories and run Lua scripts for on‑device snapshots, dramatically reducing debugging time despite fragmentation and low performance impact.

Androiddynamic loggingruntime scripting
0 likes · 14 min read
Holmes Dynamic Logging System for Mobile Apps: Automatic Instrumentation and Runtime Lua Scripting
Meituan Technology Team
Meituan Technology Team
Feb 17, 2017 · Backend Development

How Dynamic Log Level Adjustment Boosts Reliability in High‑Throughput Delivery Services

The article explains the design, implementation, and operational benefits of a middleware component that dynamically adjusts log levels in Java services, helping large‑scale delivery platforms balance comprehensive debugging information with system performance and avoid catastrophic failures during peak traffic.

Backend PerformanceJavaLog Management
0 likes · 13 min read
How Dynamic Log Level Adjustment Boosts Reliability in High‑Throughput Delivery Services