How to perform system tuning and performance testing of Linux systems

Performance optimization of the operating system is one of the keys to ensuring efficient operation of the system. In Linux systems, we can perform performance tuning and testing through various methods to ensure the best performance of the system.

This article will introduce how to perform system tuning and performance testing of Linux systems, and provide corresponding specific code examples.

1. System Tuning
System tuning is to optimize the performance of the system by adjusting various parameters of the system. The following are some common system tuning methods:

1. Modify the kernel parameters

The kernel parameters of the Linux system control various behaviors and characteristics of the system operation. We can optimize system performance by modifying kernel parameters.

You can use the sysctl command to modify kernel parameters, for example:

sysctl -w net.ipv4.tcp_fin_timeout=30
sysctl -w net.core.netdev_max_backlog=10000

2. Modify ulimit limit

ulimit is a mechanism used to limit the use of user process resources, including CPU time, memory, file descriptors, etc. We can optimize system performance by modifying the value of ulimit.

For example, use the following command to check the maximum number of file descriptors on the current system:

ulimit -n

Use the following command to modify the value of the maximum number of file descriptors:

ulimit -n 65535

3 .Optimize disk I/O

Disk I/O is also a key factor in system performance. We can improve system performance by optimizing disk reading and writing.

You can use the following command to enable the I/O scheduling algorithm:

echo deadline > /sys/block/sda/queue/scheduler

4. Use performance analysis tools

Performance analysis tools can help us find bottlenecks in the system. We can use tools to analyze system performance in order to identify areas for optimization.

Among them, some common performance analysis tools are: strace, tcpdump, perf, etc.

The following is a sample code that uses the perf tool to find system bottlenecks:

perf record -e sched:sched_process_exec -a -g -- sleep 10
perf report

2. Performance testing
Performance testing measures the performance of the system by simulating system load. The following are some common performance testing methods:

1. Stress testing

Stress testing can help us evaluate the load capacity of the system. We can use the following code to perform Apache stress testing:

ab -n 10000 -c 1000 http://www.example.com

2. Network test

Network testing can help us evaluate network performance. We can use the following code to perform network testing:

iperf -s       # Start the server
iperf -c 10.0.0.3 -t 30 -P 8   # Run the client for 30 seconds with 8 parallel connections

3. Database testing

Database testing can help us evaluate database performance. We can use the following code to perform database testing:

sysbench --test=oltp --db-driver=mysql --mysql-db=test --mysql-user=root prepare
sysbench --test=oltp --db-driver=mysql --mysql-db=test --mysql-user=root --max-time=60 --oltp-table-size=1000000 --max-requests=0 --num-threads=8 run

The above are some common system tuning and performance testing methods. In actual use, we need to tune and test based on the actual situation of the system, and make corresponding optimizations based on the results.

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