Sad Server Problem 2 | awk, cut, grep, sort | LeetCode for DevOps

Sad Server Problem 2: Finding the Most Frequent IP Address in Web Server Logs | LeetCode for DevOps In this episode, we tackle Sad Server Problem 2 from the SadServers challenge - a classic log analysis problem that every DevOps engineer encounters: analyzing web server access logs to find which IP address made the most requests. 🎯 What You'll Learn: How to count IP addresses using awk command Log file parsing with cut and field delimiters Pattern matching with grep and regular expressions Sorting and counting unique entries with sort and uniq Multiple approaches to solve the same problem ⏰ Video Timestamps: 0:00 - 4:00 | Introduction & Series Overview 4:00 - 9:00 | Problem Statement Analysis & Log File Structure 9:00 - 15:00 | Primary Solution: awk + sort + uniq Pipeline 15:00 - 21:00 | Alternative Methods: cut vs grep vs awk Comparison 21:00 - 23:00 | Outro & Next Episode Preview 🛠️ Commands Covered: awk '{print $1}' access.log | sort | uniq -c | sort -nr cut -d ' ' -f1 access.log | sort | uniq -c | sort -nr grep -oE '([0-9]{1,3}\.){3}[0-9]{1,3}' access.log | sort | uniq -c 📂 GitHub Code: https://github.com/flickerbot/LeetCodeforDevOps 🎯 Perfect for: DevOps Engineers preparing for interviews SREs learning log analysis techniques Anyone wanting to master Linux text processing tools System administrators dealing with web server logs 📌 Subscribe for more real-world DevOps problem solving! 🔍 Tags: #DevOps #LeetCodeForDevOps #SRE #SadServers #awk #LogAnalysis #Linux #TextProcessing #WebServerLogs #DevOpsInterview #IPAddressCount #UnixCommands