¿Cómo puedo crear métricas personalizadas en Datadog?

Inicio¿Cómo puedo crear métricas personalizadas en Datadog?
¿Cómo puedo crear métricas personalizadas en Datadog?

How can I create custom metrics in Datadog?

In these cases, you can create custom metrics. Custom metrics can be submitted through the Agent, DogStatsD, or the HTTP API. Additionally, the Datadog Agent automatically sends several standard metrics (such as CPU and disk usage). For a summary of all metric submission sources and methods, refer to the Metrics Types documentation.

Q. How to AutoScale workloads based on Datadog metric?

We will also show you how to use the DatadogMetric CRD to autoscale workloads based on custom-built Datadog metric queries. Before getting started, ensure that your Kubernetes cluster is running v1.10+ (in order to be able to register the External Metrics Provider resource against the Kubernetes API server).

Q. Can a Kubernetes cluster AutoScale a custom metric?

With Kubernetes v1.6, it became possible to autoscale off of user-defined custom metrics collected from within the cluster. Support for external metrics was introduced in Kubernetes v1.10, which allows users to autoscale off of any metric from outside the cluster—which now includes any metric you’re monitoring with Datadog.

Q. How is Datadog used to track system health?

Once you identify a problem, you can use logs and tracing to further troubleshoot. Metrics that track system health come automatically through Datadog’s integrations with more than 450 services.

Q. Do you need to install disk check in Datadog?

Collect metrics related to disk usage and IO. The disk check is included in the Datadog Agent package, so you don’t need to install anything else on your server. The disk check is enabled by default, and the Agent collects metrics on all local partitions.

Q. How are metrics aggregated in Datadog Lambda library?

Metrics sent from the Datadog Lambda Library are automatically aggregated into distributions, so you can graph the avg, sum, max, min, and count. You can also calculate aggregations over a set of tags for the 50th, 75th, 95th, and 99th percentile values on the Distribution Metrics page.

Q. Can a composite monitor be created in Datadog?

Composite results require common groupings. If you choose monitors that do not have common groupings, the selected monitors in the expression may not lead to a composite result. Composite monitors cannot be based on other composite monitors. To create a composite monitor in Datadog, use the main navigation: Monitors –> New Monitor –> Composite.

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