HP 124708-001 - ProLiant Cluster - 1850 오류 방지 매뉴얼 - 페이지 6

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HP 124708-001 - ProLiant Cluster - 1850에 대해서도 마찬가지입니다: 구현 매뉴얼 (35 페이지), 기술 백서 (12 페이지), 펌웨어 업데이트 (9 페이지), 개요 (20 페이지), 구현 매뉴얼 (26 페이지), 소개 매뉴얼 (22 페이지), 문제 해결 매뉴얼 (18 페이지), 구현 매뉴얼 (11 페이지), 설치 매뉴얼 (2 페이지)

HP 124708-001 - ProLiant Cluster - 1850 오류 방지 매뉴얼

Using a Methodology

Following a set of procedures when using the server can help prevent problems, or
make troubleshooting easier if problems do occur.
Use uniform naming conventions for the servers, such as names that denote
server location. Uniform naming conventions help when trying to remember
often overlooked details that can hold the key to resolving a crisis.
Use unique IDs or names for the devices. You can reduce the risk of components
competing for the same resource if you have a list. Use the server setup utility to
check for conflicts.
Make a habit of using the HP tools, resources, software, and third-party product
resources to keep abreast of potential problems. You may be able to avoid
problems by noting the problems of others.
Have a reliable backup plan. Schedule backups based on the server needs. If data
is changed frequently, frequent backups are required. Maintain a library of
backups based on your information-restoring needs. Test the backups
periodically to be sure that the data is correctly stored.
Have a plan of action before the server fails, planning for failures of different
hardware parts.
Check hard disk space periodically. It is recommended that hard drives have a
minimum of 15 percent free space.
Scan for viruses weekly. Use the latest virus-scanning utilities available to be
sure that the data is not corrupted.
Keep historical data. You cannot know that the CPU utilization has increased
50 percent if you do not know what it was initially. If you have problems, you
can use the data to compare before and after scenarios. For example, you might
want to know about the user, bus, and power utilization rates.
Keep a trend analysis so that you will know what to expect during certain points
in time. For example, if the CPU utilization rate always increases by 50 percent
during certain hours, you will know that increase is normal for the server you are
tracking.
Error Prevention Guide
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