Every software and hardware system generates a lot of log data (big data), and it is essential to do real-time log analytics to quickly understand whether there is any deviation or deficiency. This extracted knowledge helps administrators to consider countermeasures in time. Log analytics, if done systematically, facilitates preventive, predictive, and prescriptive maintenance. Workloads, IT platforms, middleware, databases, and hardware solutions all create a lot of log data when they are working together to complete business functionalities. There are several log analytics tools on the market.

Everyone knows that logs play an important role in the IT industry. Logs are used for various purposes such as IT operations, system, and application monitoring, security and compliance, and much more. Having a centralized and standardized logging system makes life easy for software developers. They are often being requested to troubleshoot the application, detect issues, enhance the application security, or review the application performance. Thus, application logs are vital to the intended success of software packages. A centralized logging system is a shared service famous for its low-cost maintenance, easy logs searching, and graphical interface. Thus, log collection, retention, ingestion, and processing goes a long way in shepherding and strengthening mission-critical and large-scale applications.