Troubleshooting

This document explains the iterative hypothesis-testing cycle for identifying root causes, demonstrates using test environments for safe troubleshooting and explores diagnostic tools like iotop, iftop, and resource limiting commands to investigate and resolve server performance issues.

This document demonstrates practical memory leak diagnosis and resolution through real-world examples using Python memory profilers. It covers identifying memory consumption patterns in applications, analyzing memory usage with tools like memory_profiler, and fixing code that unnecessarily retains data in memory causing resource exhaustion.

This document explains how to create clear reproduction cases for debugging tricky issues, explores system logs across different operating systems, and demonstrates techniques for isolating problem conditions through systematic testing and environmental analysis.

This document explores effective information gathering techniques for troubleshooting, demonstrates systematic problem isolation through elimination, and illustrates server performance diagnosis using Linux tools. It emphasizes asking critical questions and avoiding assumptions when diagnosing issues.

This document explores network performance issues through latency and bandwidth concepts, covering how physical distance and connection capacity affect data transmission. It examines traffic prioritization using traffic shaping, connection limits, and diagnostic tools like iftop for identifying bandwidth consumption patterns across network services.

This document addresses disk space management challenges in IT systems covering common causes of disk exhaustion from logs to temporary files. It explores diagnostic techniques for identifying space usage patterns, handling deleted but open files, and implementing preventive strategies to avoid disk-related performance degradation and data loss.

This document examines memory leaks in applications, covering how unreleased memory chunks cause system performance issues. It explores memory management in C/C++ versus garbage-collected languages, profiling tools like Valgrind for detecting leaks, and strategies for identifying and resolving memory consumption problems before they exhaust system resources.

This document demonstrates a practical troubleshooting workflow using strace to diagnose an application failure. It walks through information gathering system call analysis, root cause identification, and implementation of both immediate and long-term remediation strategies.

This document outlines a systematic three-step approach to solving technical problems: gathering information, finding root causes, and performing remediation. It emphasizes documentation practices and demonstrates these steps through a practical computer overheating scenario.

This document explains the distinction between debugging and troubleshooting explores essential tools for analyzing system behavior and application code and demonstrates techniques for identifying and resolving technical problems in IT environments.

This document introduces essential debugging techniques and problem-solving processes for IT specialists. It covers systematic approaches to troubleshooting technical issues, understanding root causes, and applying methods like binary search to resolve problems efficiently.