Almost every application that runs in a server environment generates logs automatically. These logs are a vital part of any system because they provide essential information about how a system is presently operating and also, how it operated in the past. By searching through log data, you’re able to pinpoint issues, errors, and trends. However, it can be extremely time consuming and frustrating to manually look up one particular error on hundreds, or even thousands of servers, across thousands of log files.
Centralized Log Management (CLM) is a type of logging solution system that consolidates all of your log data and pushes it to one central, accessible, and easy-to-use interface. Centralized logging is designed to make your life easier. Not only does CLM provide multiple features that allow you to easily collect log information, but it also helps you consolidate, analyze, and view that information quickly and clearly. CLM gives you tons of capabilities including:
CLM allows you to do more with your log data and manage it much more efficiently. You’ll have the ability to access the data you want in seconds rather than hours, weeks, or even days by manually searching through tons of logs. Taking advantage of centrally storing and analyzing your logs with a CLM program will make your organization more dynamic, profitable, and secure.
Taking advantage of centrally storing and analyzing your logs with a CLM program will make your organization more dynamic, profitable, and secure.
ELK Stack is an open-source centralized logging solution based on Elasticsearch for collecting, parsing, and storing logs. Elasticsearch, Logstash, and Kibana, when used together, form an end-to-end stack (ELK Stack) and real-time data analytics tool that provides actionable insights from almost any type of structured and unstructured data source.
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