This happens by changing the unstructured data into an acceptable format (JSON, XML, etc.). The idea is to make the work easy and flexible by converting unstructured data to structured data. Therefore, it becomes a tedious task to apply queries on them to extract required information. Sometimes, the text in the log file is unstructured. Log management also has an enhanced security feature and effective troubleshooting capabilities. This solution makes it easy for the professionals during analysis and error detection. This solution is known as centralized log management. All the required logs are collected and stored at one place. This is where log management can provide real-time insights on various areas and operations, such as the health of your application. The best way to deal with this situation is to have a systematic way to manage these logs. However, this approach is tedious, toilsome - and definitely not scalable. The significance of logs is quite clear, but what happens when we want to analyze and inspect them for any bugs or system failure? In this case, we can manually check multiple logs to identify errors during troubleshooting. (Explore cloud log management.) The benefits of log management For example, in the application of sending an email, the sender sends the email with specified logs that contain information about the sender, the process of application, and many more. A correlation is established within the logs that makes it easy for migration to other applications. Relating the logs to each other, in some way.Identifying each log through an index in the records, further enabling pros to find the required logs. The main motivation here is to make it easy for the IT professionals to access, encrypt and process them, depending on the application.
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