This is a simple [Kubernetes Controller](https://kubernetes.io/docs/concepts/architecture/controller/) to allow [Datadog Monitors](https://docs.datadoghq.com/monitors/) to be created, updated or deleted from custom resources in Kubernetes. You will need to set `datadog.client_api_key` and `datadog.client_app_key` when installing the chart. These keys can be found at https://app.datadoghq.eu/account/settings#api or https://app.datadoghq.com/account/settings#api Here's an example `DatadogMonitor` resource: ```yaml apiVersion: datadoghq.com/v1beta1 kind: DatadogMonitor metadata: name: apm-error-rate-example spec: name: my-service error rate query: "avg(last_5m):sum:trace.http.request.errors{env:stg,service:my-service} / sum:trace.http.request.hits{env:stg,service:my-service} > 1" type: "query alert" message: Service my-service has a high error rate on env:stg ```
Prometheus, a CNCF project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
This chart bootstraps a Prometheus deployment on a Kubernetes cluster using the Helm package manager.
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1 occurrences:
💡 Missing property object `readinessProbe` - add a properly configured readinessProbe to notify kubelet your Pods are ready for traffic
Learn how to fix the issue here
1 occurrences:
💡 Missing property object `livenessProbe` - add a properly configured livenessProbe to catch possible deadlocks
Learn how to fix the issue here
