
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.

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These logs are generated internally in a system or from software applications. Log management is a process that handles huge piles of logs. Now that we understand what a log can do, let's move onto log management.

The answers to all these questions are important, especially for the IT professionals who are responsible for the smooth running of these applications and resolving any errors or failures that may occur. (Looking for solutions from Splunk? Explore our product portfolio, covering enterprise needs for security, monitoring and observability and all things data.) What happens if these applications stop running? How do you figure out what caused the problem? How do you resolve incidents in an effective way? What’s more, their development requires a systematic approach with proper management of that data - and its related activities.īut that’s not a straightforward and simple process. However, these applications require a lot of data. Their primary job is to make life easier and help us accomplish certain tasks. We find ourselves submerged in a sea of software applications practically all the time.
