You can define alerts when a monitored metric value has exceeded a threshold, indicating an error requiring developer intervention. Alerting is possible by the real-time data about your system that you are monitoring. Alerting: when your application fails, you usually want to fix it as soon as possible.From a high level, monitoring helps you to ensure the reliable operation of your application.Ī more thorough exploration of the reasons includes: There are several reasons why monitoring is important – understanding the reasons informs your choices regarding implementation and choice of tools. Monitoring can help you detect such anomalies or performance bottlenecks. You might then discover that the latency increases when users search specific fields due to a missing index.
You might be interested in measuring the amount of time taken to serve such search requests and track how it performs when the concurrent load on that endpoint increases. In the context of an application, the measured data might include request counts, error counts, request latency, database query latency, and resource utilization.įor example, suppose you were developing new search functionality for an application and introduced a new API endpoint that queries. Monitoring is the practice of collecting, processing, aggregating, and visualizing real-time quantitative data about a system. Note: The article uses the terms backend, application, and service interchangeably. How monitoring relates to distributed tracing.How to monitor and valuable tools for monitoring.What you should monitor in your application.How monitoring fits into your development workflow.How monitoring relates to agile development methodologies.As a developer, you might be responsible for developing features and ensuring that they run reliably.īut why is monitoring so important, and what are the best practices for monitoring your application?
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