DÉLKA: 40 Hours (5 dní)
CENA: Kč 67 000,00
Develop the skills to measure, analyze, and tune common performance issues on IBM Power Systems running AIX.
Learn about performance management concepts and techniques and how to use the basic AIX tools to monitor, analyze, and tune an AIX system. The course covers how virtualization technologies such as the PowerVM environment and workload partitions affect AIX performance management. Monitoring and analyzing tools discussed in this course include vmstat, iostat, sar, tprof, svmon, netstat, lvmstat, and topas. Tuning tools include schedo, vmo, ioo, no, and nfso.
The course also covers how to use Performance Problem Reporting (PerfPMR) to capture a variety of performance data for later analysis.
Each lecture is reinforced with extensive hands-on lab exercises which provide practical experience.
The materials include AIX 7.1 enhancements and the exercises are executed on a POWER8 lab environment.
This advanced course is for:
You are expected to have basic AIX system administration skills. These skills can be obtained by attending the following courses:
It is very helpful to have a strong background in TCP/IP networking to support the network performance portion of the course. These skills can be built or reinforced by attending:
It is also very helpful to have a strong background in PowerVM (particularly micro partitioning and the role of the Virtual I/O Server). These skills can be built or reinforced by attending:
Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.
GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process: http://w3.ibm.com/services/gbs/evita/BCSVTEnrl.nsf
Once you enroll in a GTP class, you will receive a confirmation letter that should show: