Linux Performance Monitoring Tools
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The document presents an overview of Linux performance monitoring tools and methodologies, along with the author's background and experience in open-source technologies. It details various metrics for performance monitoring, including utilization, cost, throughput, rate, and latency, and highlights specific tools for CPU, memory, and disk observability. Moreover, the document emphasizes the importance of workload characterization and drill-down analysis to identify root causes of performance issues.
Linux Performance Monitoring Tools
- 1. Linux Performance Monitoring Tools Manosh Malai CTO, Mydbops 3rd April 2021 Mydbops
- 2. Interested in Open Source technologies Interested in Performance Engineering, MongoDB, DevOps & DevOpSec Practices Tech Speaker/Blogger CTO, Mydbops IT Solution Manosh Malai About Me
- 3. Consulting Services Managed Services Focuses on MySQL, MongoDB and PostgreSQL Mydbops Services
- 4. 400 + Clients In 4 Yrs. of Operations Our Clients
- 5. Methodologies Linux Performance Analysis Tool Introduction Agenda
- 6. INTRODUCTION
- 7. Goals Of Performance Monitoring Utilization: How much of a resource is engaged in percentage overtime Cost: The price/Performance ratio Throughput: Typicallly data movement in bits or bytes per second Rate: A transaction/request per second Latency: Runtime of a query or operation, typically measured in milliseconds
- 9. Anti Method Street Light Anti-Method Drunk Man Anti-Method Blame Someone Else Anti-Method Pick some familiar observability tools and look for obvious issues Tune things at random until the problem goes away Point to other team then sit and relax
- 10. Performance Methodologies Workload Characterization Drill-Down Analysis USE Method RED Method
- 11. Workload Characterization Who is causing the load(PID, Process Name, UID, IP address) Why is th load Called?(Trace in code) How the load changing over time What is the load(IOPS, Throughput)
- 12. Drill-Down Analysis Is a process of breaking problems Into its basic elements To find the root cause(s)
- 15. Simple System Design CPU Core Core LLC GFX Memory Controller I/O Controller SSD E1000 RAM PCIe FSB
- 16. Linux Performance Observability Tools
- 17. CPU Observability Tools(My Fav) top, htop, atop mpstat -P ALL 1 vmstat 1 execsnoop runqlen 10 1 runqlat 10 1 runqslower cpudist (This tool also help to measure Off-CPU Analysis)
- 18. Memory Observability Tools(My Fav) free top or ps per process memory usage pmap -x <pid> vmstat 1 sar -B 1
- 19. File System Observability - Linux Kernel I/O Stack
- 20. File System Observability - File System Cache Page Cache VFS Directory Cache Inode Cache EXT4 XFS ... Block Device Interface Disks Page Scanner
- 21. File System Observability Tools(My Fav) vfsstat (we can call this VFS Level IOSTAT) opensnoop cachestat cachetop ext4slower/xfsslower ext4dist/xfsdist
- 22. Disk I/O Observability Tools(My Fav) iostat -dxz 1 iotop biosnoop biolatency biotop
- 23. Tools installation https://github.com/iovisor/bcc/blob/master/INSTALL.md apt-get install ssystat apt-get install iotop apt-get install atop
- 25. Reach Us : Info@mydbops.com Thank You
- 26. Thanks to One Person