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trace

46 articles · Page 1 of 1
Xiaolin Talks Programming
Xiaolin Talks Programming
Aug 21, 2026 · Backend Development

Arthas in Production: Diagnosing Spring Boot CPU Spikes, Memory Leaks & Latency Spikes

This article demonstrates using Arthas to diagnose a Spring Boot service with 100% CPU, memory leaks, and latency spikes, showing step-by-step commands like dashboard, thread, heapdump, trace, and watch to pinpoint dead loops, unbounded caches, and missing SQL indexes, plus emergency hot-patching with redefine.

ArthasCPU profilingJVM troubleshooting
0 likes · 17 min read
Arthas in Production: Diagnosing Spring Boot CPU Spikes, Memory Leaks & Latency Spikes
Amap Tech
Amap Tech
Aug 14, 2026 · Artificial Intelligence

How AutoSDK Builds a Self‑Evolving AI Coding Loop for Enterprise Delivery

The article explains why a single successful AI‑generated code run is insufficient for enterprise software, and how AutoSDK uses built‑in observability, Loop Engineering, and a four‑stage "observe‑attribute‑intervene‑validate" loop—supported by concrete metrics, trace and log pillars—to achieve stable, continuously improving AI coding delivery.

AI codingLoop EngineeringPerformance Optimization
0 likes · 17 min read
How AutoSDK Builds a Self‑Evolving AI Coding Loop for Enterprise Delivery
ThinkingAgent
ThinkingAgent
Jul 22, 2026 · Artificial Intelligence

Final Chapter: Cutting‑Edge DevEx to Lower AI Development Barriers

The article presents a comprehensive analysis of AI developer experience (DevEx), detailing why traditional DevEx falls short for LLM‑driven applications, describing a seven‑component platform that spans Playground, Trace replay, Prompt diff, RAG debugging, Eval dashboards, SDK/CLI, and scaffolding templates, and offering concrete architecture, code, metric baselines, framework comparisons, and best‑practice recommendations for enterprise adoption.

AIDevExEval
0 likes · 30 min read
Final Chapter: Cutting‑Edge DevEx to Lower AI Development Barriers
AI Engineer Programming
AI Engineer Programming
Jul 12, 2026 · Artificial Intelligence

Building a Full-Agent Observability and Quality Evaluation System: From Data Collection to the Data Flywheel

This article presents a comprehensive, engineering‑focused practice for observing and evaluating large‑model agents, covering new data‑collection challenges, a three‑layer observability architecture, offline and online testing pipelines, quality‑gate mechanisms, and a self‑reinforcing data flywheel that continuously improves performance, cost, and safety.

AIOpsAgentData Flywheel
0 likes · 18 min read
Building a Full-Agent Observability and Quality Evaluation System: From Data Collection to the Data Flywheel
Xike
Xike
Jul 6, 2026 · Backend Development

Seeing the Full Request Journey: Completing Spring Boot Trace Integration

This guide shows how to extend an existing Prometheus‑Grafana‑Loki stack with SkyWalking to capture full request traces in Spring Boot, explaining trace fundamentals, automatic instrumentation, manual spans, log‑trace correlation, cross‑service topology, and production considerations.

LogsSkyWalkingSpring Boot
0 likes · 17 min read
Seeing the Full Request Journey: Completing Spring Boot Trace Integration
James' Growth Diary
James' Growth Diary
May 24, 2026 · Artificial Intelligence

End-to-End Observability with LangSmith: Trace Debugging and RAG Evaluation from Development to Production

This article walks through LangSmith’s three core capabilities—Trace, Evaluation, and Dataset management—showing how to integrate zero‑code tracing, quantify RAG performance with custom evaluators, run version‑comparison experiments, and set up production monitoring with sampling and feedback loops.

LangChainLangSmithRAG evaluation
0 likes · 23 min read
End-to-End Observability with LangSmith: Trace Debugging and RAG Evaluation from Development to Production
Java Architect Essentials
Java Architect Essentials
Nov 27, 2024 · Backend Development

New Features of Cool Request Plugin: Trace, MyBatis Tracking, Custom Timing Colors, and Scripting

The article introduces the latest Cool Request IDEA plugin update, detailing its Trace capability for method execution timing, selective MyBatis function monitoring, customizable slow‑method highlighting, and scripting support for headers and JSON parsing, all illustrated with Java code examples.

Cool RequestIDEA PluginJava
0 likes · 5 min read
New Features of Cool Request Plugin: Trace, MyBatis Tracking, Custom Timing Colors, and Scripting
Tencent Cloud Developer
Tencent Cloud Developer
Nov 5, 2024 · Backend Development

Understanding and Optimizing Go Performance with pprof and trace Tools

The article teaches Go developers how to generate and analyze CPU, heap, allocation, and goroutine profiles with pprof and full‑runtime traces, interpret SVG flame‑graphs, top lists, and source views, and apply concrete optimizations—such as buffering channels and using sync.Pool—to dramatically speed up a Mandelbrot generator.

GoHeap AnalysisOptimization
0 likes · 58 min read
Understanding and Optimizing Go Performance with pprof and trace Tools
Java Backend Technology
Java Backend Technology
Oct 23, 2024 · Backend Development

How Cool Request Transforms Java API Debugging and Performance Tracing

Cool Request is an IDEA plugin that enhances HTTP debugging by offering reflection calls, traceable method execution, MyBatis function monitoring, customizable timing highlights, and scriptable environment handling, enabling Java developers to efficiently analyze performance and automate request workflows without leaving the IDE.

HTTP debuggingIDEASpringBoot
0 likes · 5 min read
How Cool Request Transforms Java API Debugging and Performance Tracing
Java Tech Enthusiast
Java Tech Enthusiast
Aug 2, 2024 · Backend Development

How Cool Request’s New Trace Feature Lets You Measure Any Method’s Execution Time

The latest update of the Cool Request IDEA plugin introduces a powerful Trace function that automatically records execution times for any method—including Spring @Scheduled and xxl‑job tasks—offers customizable latency coloring, MyBatis SQL timing, call‑count indicators, and scriptable environment variables for seamless token handling and JSON parsing.

HTTP debuggingIDEA PluginJava
0 likes · 6 min read
How Cool Request’s New Trace Feature Lets You Measure Any Method’s Execution Time
Alibaba Cloud Native
Alibaba Cloud Native
Jul 24, 2024 · Cloud Native

How to Observe and Optimize LLM Applications with Alibaba Cloud ARMS

This article explains the challenges of deploying large language model (LLM) applications, outlines the need for end‑to‑end observability, and details Alibaba Cloud ARMS' LLM‑specific tracing, metrics, and Python agent solutions for monitoring, debugging, and performance optimization.

AILLMOpenTelemetry
0 likes · 20 min read
How to Observe and Optimize LLM Applications with Alibaba Cloud ARMS
Tencent Cloud Developer
Tencent Cloud Developer
May 22, 2024 · Backend Development

Comprehensive Guide to Go pprof and trace Tools for Performance Analysis

This comprehensive guide teaches Go developers how to generate CPU, memory, and goroutine profiles with pprof, interpret SVG, top, source, and peek visualizations, understand the runtime’s sampling and allocation internals, use the trace tool to analyze events, and apply these techniques to real‑world optimizations such as speeding up a Mandelbrot image generator.

Goperformance profilingpprof
0 likes · 57 min read
Comprehensive Guide to Go pprof and trace Tools for Performance Analysis
Su San Talks Tech
Su San Talks Tech
Oct 21, 2023 · Backend Development

How to Pinpoint Java Performance Bottlenecks with Arthas

This article walks you through using the open‑source Java diagnostic tool Arthas to locate and analyze performance problems in Java applications, covering basic and advanced tracing, filtering, and flame‑graph visualization without modifying source code.

ArthasJava performanceProfiling
0 likes · 9 min read
How to Pinpoint Java Performance Bottlenecks with Arthas
Qunar Tech Salon
Qunar Tech Salon
Jul 12, 2023 · Operations

Design and Implementation of Qunar's Root Cause Analysis System for Microservice Fault Diagnosis

This article describes Qunar's comprehensive root cause analysis platform, detailing its background, data-driven fault categorization, architecture—including trace, runtime, middleware, and event analysis modules—and demonstrates its high accuracy and practical impact on reducing incident resolution times across microservice services.

DevOpsmicroservicesmonitoring
0 likes · 20 min read
Design and Implementation of Qunar's Root Cause Analysis System for Microservice Fault Diagnosis
Qunar Tech Salon
Qunar Tech Salon
Apr 24, 2023 · Operations

Design and Evolution of Qunar's Watcher Enterprise Monitoring Platform

The article details the background, architecture, core features, alert governance, trace integration, and cloud‑native evolution of Watcher, Qunar's internally built, highly scalable monitoring platform that unifies application‑level metrics, alerting, and observability across thousands of services and containers.

DevOpsalertingcloud-native
0 likes · 19 min read
Design and Evolution of Qunar's Watcher Enterprise Monitoring Platform
ITPUB
ITPUB
Mar 6, 2023 · Backend Development

Why Did MySQL Return Stale Data? A SkyWalking Tracing Case Study

This article walks through a real‑world incident where an update to a MySQL row was not visible to a subsequent read, explains how SkyWalking tracing revealed the exact timing of binlog writing, MQ delivery, and query execution, and offers practical mitigation strategies.

CanalMySQLSkyWalking
0 likes · 13 min read
Why Did MySQL Return Stale Data? A SkyWalking Tracing Case Study
ITPUB
ITPUB
Jun 30, 2022 · Backend Development

Master Go Performance: Layered Optimization Strategies for Faster Code

This article presents a layered approach to Go performance optimization, covering reasonable code practices, deliberate algorithmic and structural improvements, risky low‑level tweaks, and practical profiling techniques such as pprof, flame graphs, and trace, while providing concrete examples and actionable guidance.

GoPerformance OptimizationProfiling
0 likes · 17 min read
Master Go Performance: Layered Optimization Strategies for Faster Code
Tencent Qidian Tech Team
Tencent Qidian Tech Team
Jan 18, 2022 · Operations

Unlock Go Performance: Master pprof, trace, GODEBUG, and Escape Analysis

This comprehensive guide explores Go performance optimization techniques, covering pprof profiling, trace analysis, GODEBUG diagnostics, and escape analysis, while providing practical code examples and real‑world case studies to help developers identify and resolve CPU, memory, and goroutine bottlenecks in production services.

GODEBUGGoProfiling
0 likes · 40 min read
Unlock Go Performance: Master pprof, trace, GODEBUG, and Escape Analysis
Alibaba Cloud Native
Alibaba Cloud Native
Oct 10, 2021 · Cloud Native

How to Detect Service and Workload Anomalies in Kubernetes with Advanced Monitoring

This article explains the common pain points of locating anomalies in Kubernetes environments and presents a multi‑layer monitoring framework—trace, metrics, events, and alerts—along with best‑practice scenarios such as network performance, DNS issues, full‑link stress testing, external MySQL access, and multi‑tenant architectures.

DNSKubernetesmetrics
0 likes · 20 min read
How to Detect Service and Workload Anomalies in Kubernetes with Advanced Monitoring
Tencent Music Tech Team
Tencent Music Tech Team
May 13, 2021 · Backend Development

Performance Optimization and Profiling of Go Services Using pprof and trace

The article outlines why high‑load Go services need performance tuning and presents a systematic workflow—preparation, analysis with Linux tools and Go’s pprof/trace, targeted optimizations such as goroutine pooling, Redis MSET, efficient JSON handling and slice resizing—demonstrating how these changes boost throughput, lower latency, and stabilize memory usage while offering broader Go‑specific best‑practice recommendations.

ConcurrencyGoLinux
0 likes · 25 min read
Performance Optimization and Profiling of Go Services Using pprof and trace
Xianyu Technology
Xianyu Technology
Dec 24, 2020 · Backend Development

Root Cause Analysis of Metaspace OOM Triggered by Arthas Trace

Tracing a large method with Arthas caused a Metaspace OOM because constant‑pool rewrites inflated the Non‑Class space, each rewrite copying a massive StackMapTable, but preserving the original constant‑pool layout in Arthas stops the growth, and exposing off‑heap metrics aids production monitoring.

ArthasDiagnosticsJVM
0 likes · 20 min read
Root Cause Analysis of Metaspace OOM Triggered by Arthas Trace
Youku Technology
Youku Technology
Jul 24, 2020 · Backend Development

Hot Link Coverage and Comparative Testing for Backend Services

The article describes Alibaba’s flow‑based comparative testing and introduces Youku’s hot‑link coverage technique, which instruments method chains to automatically identify high‑frequency request paths, recommend them for regression testing, achieve full business‑link coverage without manual effort, and outlines future machine‑learning enhancements.

Coveragehot-linkmethod-chain
0 likes · 11 min read
Hot Link Coverage and Comparative Testing for Backend Services
FunTester
FunTester
May 18, 2020 · Backend Development

Mastering Arthas trace: Diagnose Java Method Chains Efficiently

This guide explains how to use Arthas's trace command to capture Java method call paths, measure execution time for each node, handle class and method patterns, and highlights its limitations with lambda expressions, providing practical code examples and output analysis.

ArthasDiagnosticsJava
0 likes · 6 min read
Mastering Arthas trace: Diagnose Java Method Chains Efficiently
Programmer DD
Programmer DD
Feb 13, 2020 · Backend Development

How to Restore Spring Boot 2.1.x Request Mapping Logs with TRACE Level

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.

JavaRequestMappingSpring Boot
0 likes · 8 min read
How to Restore Spring Boot 2.1.x Request Mapping Logs with TRACE Level
dbaplus Community
dbaplus Community
Nov 25, 2019 · Operations

From Manual Ops to AI‑Powered Monitoring: Scaling Weibo Ads Infrastructure

This article outlines how the Weibo advertising team evolved its operations from hand‑crafted scripts to a fully automated, AI‑enhanced platform, covering service governance, multi‑datacenter deployment, a custom automation system (Kunkka), effective alerting, full‑link tracing, and a massive metric monitoring solution built on big‑data technologies.

AIOpsDevOpsmonitoring
0 likes · 15 min read
From Manual Ops to AI‑Powered Monitoring: Scaling Weibo Ads Infrastructure
Java Backend Technology
Java Backend Technology
Oct 9, 2019 · Information Security

How I Traced a Porn Site Operator Using OSINT Techniques

In this detailed case study, the author discovers a pornographic website, uses WHOIS and email reverse‑lookup to uncover a network of 28 related sites, registers an account, follows payment and contact clues, obtains the operator’s IP, phone and address, and ultimately pressures the owner until the sites disappear.

cyber investigationosinttrace
0 likes · 6 min read
How I Traced a Porn Site Operator Using OSINT Techniques
Efficient Ops
Efficient Ops
Feb 21, 2017 · Mobile Development

How Alibaba Scales Mobile App Ops: Gray Release, Monitoring, and Rapid Fixes

This article details Alibaba's mobile app operational practices, covering the challenges of client-side maintenance, their high‑frequency release pipeline, gray‑release mechanisms, monitoring, trace systems, remote logging, and rapid issue resolution to ensure stability and performance at massive scale.

Gray ReleasePerformancemobile
0 likes · 21 min read
How Alibaba Scales Mobile App Ops: Gray Release, Monitoring, and Rapid Fixes
ITPUB
ITPUB
Jun 23, 2016 · Databases

How to Uncover Oracle Hidden Parameters with Views and Trace

This article explains two practical techniques for identifying Oracle hidden parameters—querying internal views like GV$PARAMETER and X$ tables, and using AUTOTRACE to inspect execution plans—so DBAs can reveal undocumented settings, their defaults, and current values.

Database InternalsHidden ParametersOracle
0 likes · 5 min read
How to Uncover Oracle Hidden Parameters with Views and Trace