Last updated on Jan 19, 2024
To diagnose an issue, you must first collect information on the issue. You should also go through the log files to determine the type of system error messages and the existing log records that could assist you in diagnosing the issue.
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Till now, we have collected the information. The next thing to do is to analyze. Examine the information gathered at every step. Search for anomalies that could support the issue identified by the client or programmer. Look at the situation identified in the first point above and try to figure out how a trace file or log can help us to find the reason for the problem. Examine the information available at every step to see if there is evidence to help us understand the cause of the issue. Once you have completed this analysis, we may be in luck to determine the cause of the issue.
If these steps fail to provide us with the solution, we need to proceed with further testing and gathering information. We may need to look at the code and also perform a few other tests. The other stages described here represent just a starting point. They may help us to arrange our thoughts on how we could carry out additional tests and collect information that can assist us in solving the issue.
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DBA is the one who is responsible for assisting a programmer and the client in solving an issue. The more complex the problem, the more rewarding it becomes. Perhaps you will find that these steps are not necessarily what you need, which is acceptable. The most important thing is that we need to develop and follow a troubleshooting process for our environment. Possessing a set of questions, tools, and steps will enable us to be proactive in developing an approach that we may use to resolve issues in a timely and orderly manner.
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.
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