Log Management enables you to stay on top of the vast amount of log data your applications produce. It involves the collection of these logs from various sources, such as application servers, databases, and network devices, and storing them in a centralized location for analysis and monitoring.
For example, in a Node.js application, you can use a library like Winston to capture and format logs. These logs can then be sent to a centralized log management system such as Elasticsearch or Logstash for storage and analysis. It enables you to streamline your monitoring, troubleshooting and analysis processes, leading to more reliable and efficient apps.
Explore related concepts
Monitoring
Monitoring is the act of tracking the performance and behavior of a system, application, or service in real-time, allowing for the detection of issues, anomalies, and performance bottlenecks. It involves collecting and analyzing metrics to ensure that everything is running smoothly and to identify potential areas for improvement.
Metrics
Metrics are a way to measure and track the performance and behavior of a system, application, or service. They provide valuable data on things like response time, error rates, and resource utilization.
Structured Logging
A method of logging that organizes log messages into a format that is easily searchable, filterable, and queriable. This enables you to extract valuable insights and troubleshoot issues faster.