From the course: DevOps Foundations: Monitoring and Observability
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Metrics in action using Mimir and Grafana Cloud
From the course: DevOps Foundations: Monitoring and Observability
Metrics in action using Mimir and Grafana Cloud
- [Instructor] As I've mentioned, metrics may come out of the box depending on the software or language you're using. A common way to find what metrics your service has would be reading through documentation. For custom build applications, you can also instrument your service to emit custom metrics which are defined by you. Again, this depends on the language in which your application is built and how you collect metrics and where you send them. In the example on the screen, you can see how with instruments, a Node.js application to send metrics to Prometheus. By following the documentation, you'll be able to instrument your own application accordingly as long as your observability metrics stack supports it. Next, we're go into Grafana Cloud to interact with metrics from a sample service. But before we do that, let's look at some of the instrumentation we've done to make this possible. I'm making use of a Node.js…
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