A.G. Sayyed

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 introduces resource management in IT systems, covering how to identify and optimize memory, disk, and network usage. It explores strategies for decluttering system resources and prioritizing work to maximize efficiency and prevent future problems through proactive troubleshooting approaches.

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.

The IBM RAG and Agentic AI Professional Certificate equips learners with the skills to build advanced AI applications using Retrieval-Augmented Generation (RAG) and agentic AI techniques. The program covers data retrieval, prompt engineering, and multi-agent systems to create intelligent, context-aware solutions.