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Database tuning describes a group of activities used to optimize and homogenize the performance of a database.It usually overlaps with query tuning, but refers to design of the database files, selection of the database management system (DBMS) application, and configuration of the database's environment (operating system, CPU, etc.).
Query optimization is a feature of many relational database management systems and other databases such as NoSQL and graph databases.The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans.
Workers check the compatibility between source database and destination database using the DTS package. When updating the source database, workers make sure to compare it with the target database. Database load testing measures the capacity of the database server to handle queries as well as the response time of database server and client. [6]
Gather or elicit performance requirements (specifications) from users and/or business analysts. Develop a high-level plan (or project charter), including requirements, resources, timelines and milestones. Develop a detailed performance test plan (including detailed scenarios and test cases, workloads, environment info, etc.). Choose test tool(s).
Arm MAP, a performance profiler supporting Linux platforms.; AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK.; AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
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In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of the performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service .
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