Identify Metrics to Monitor: Identify the metrics that are important for your web application, such as response time, request rate, error rate, CPU usage, memory usage, etc.
Instrument Your Code: Instrument your code to expose these metrics. You can use a Prometheus client library to do this. Prometheus client libraries are available for most popular programming languages, such as Python, Java, Go, and Ruby.
Install the Prometheus client library for your programming language.
Initialize a Prometheus registry object in your code.
Define the metrics you want to expose using the registry object.
Increment the metrics at the appropriate points in your code.
Expose the metrics using an HTTP endpoint.
Configure Prometheus: Configure Prometheus to scrape the metrics exposed by your web application. This involves specifying the endpoint where your application exposes the metrics and defining the scraping frequency.
Visualize Metrics with Grafana: Use Grafana to create dashboards that visualize the metrics collected by Prometheus. Grafana allows you to create graphs, charts, and alerts based on the metrics collected.
Monitor Your Application: Monitor your application using the metrics and dashboards you have created. Use the insights gained from monitoring to improve the performance and reliability of your application.
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