Autoscale Kubernetes workloads with any Datadog metric or custom query
Blog post from Datadog
The release of the Datadog Cluster Agent allows users to autoscale their applications running in Kubernetes in response to real-time fluctuations in any metric collected by Datadog. With the new CRD, users can customize their metric queries with functions and arithmetic, giving them more control over autoscaling behavior within their cluster. The Horizontal Pod Autoscaling (HPA) feature in Kubernetes allows users to autoscale their applications off of basic metrics like CPU or user-defined custom metrics collected from within the cluster. With external metrics support introduced in Kubernetes v1.10, users can now autoscale off of any metric from outside the cluster, including those monitored with Datadog.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 42 | 1,005 | 156 | 60 | -3% |
| Real-time | 4 | 1,407 | 370 | 141 | +5% |
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