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Systems management is enterprise-wide administration of distributed systems including (and commonly in practice) computer systems. [citation needed] Systems management is strongly influenced by network management initiatives in telecommunications. The application performance management (APM) technologies are now a subset of Systems management ...
In particular, Ethernet operations, administration and maintenance (EOAM) is the protocol for installing, monitoring and troubleshooting Ethernet metropolitan area network (MANs) and Ethernet WANs. The OAM features covered by this protocol are discovery, link monitoring, remote fault detection and remote loopback .
A database administrator (DBA) maintains a database system, and is responsible for the integrity of the data and the efficiency and performance of the system. A network administrator maintains network infrastructure such as switches and routers , and diagnoses problems with these or with the behavior of network-attached computers.
When major maintenance such as patching is performed, a backup is recommended as the first step in case the update fails and reversion is required. Disk cleanup may be performed as regular maintenance to remove these. Files may become fragmented and so slow the performance of the computer.
Another view sees systems analysis as a problem-solving technique that breaks a system down into its component pieces and analyses how well those parts work and interact to accomplish their purpose. [1] The field of system analysis relates closely to requirements analysis or to operations research.
In the early 1970s, companies began to separate out software maintenance with its own team of engineers to free up software development teams from support tasks. [1] In 1972, R. G. Canning published "The Maintenance 'Iceberg '", in which he contended that software maintenance was an extension of software development with an additional input: the existing system. [1]
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Development DBAs: focus on the logical and development aspects of database administration such as data model design and maintenance, DDL (data definition language) generation, SQL writing and tuning, coding stored procedures, collaborating with developers to help choose the most appropriate DBMS feature/functionality and other pre-production ...