Linux Performance Monitoring & Analysis هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Course Contents

Linux Performance Monitoring & Tuning

Introduction about Performance monitoring in Linux

Important four subsystems that needs to be monitored.

• CPU

• Memory

• I/O

• Network

• Familiar & understanding with CPU Utilization

• Like Context switches, Run Queue, CPU utilization & Load Average

• Familiar & understanding with Memory Utilization

• Familiar & understanding with I/O Analyses

• Familiar & understanding with Network Monitoring

Familiar with various Commands to manage performance issues in Linux Servers

• top

• vmstat

• iostat

• free

• lsof

• tcpdump- Network Packet Analyzer

Following are the Linux performance statistics using sar command.

• Collective CPU usage

• Individual CPU statistics

• Memory used and available

• Swap space used and available

• Overall I/O activities of the system

• Individual device I/O activities

• Run queue and load average data

• Network statistics

• Report sar data from a specific time

Process Management

• Understanding ps commands with custom properties & Nice values etc

• Different stats of a process like "D", "S", "T", "Z" etc

• Kill commands to terminate the process

• Lab

Linux Find Commands

• Basic find commands for finding files with names

• Find files based on their permissions

• Search files based on owners & groups

• Find files and directories based on date & time

• Find files and directories based on size

Top Running Processes

• Command to list out top processes consuming highest memory utilization

• Command to list out top processes consuming highest cpu utilization

Lab on lsof - List open files & fuser

• lsof command used in many Linux/Unix like system that is used to display list of all the open files and the processes.

Lab on tcpdump- Network Packet Analyzer

• For example: number of packets received (transmitted) through the network card, statistics of packet failure etc

Practice Lab Sessions

• Practical Lab Session - High CPU Utilization

• Practical Lab Session - High Memory Utilization