You can generate optimized GKE configurations that can improve performance for
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## Feature
Feature
You can generate optimized GKE configurations that can improve performance for specific workloads, such as Redis and MySQL, by using the gcloud CLI. The configurations are ConfigMaps and ComputeClasses that apply performance recommendations to the workloads and the nodes. These optimizations are available in Preview for GKE version 1.31.1-gke.12000 or later. You can measure the performance improvements by using open source benchmarks. For more information, see[Optimize for workloads on GKE](https://cloud.google.com/kubernetes-engine/docs/concepts/workload-optimization).
## Feature
Feature
In GKE version 1.36.0-gke.3302001 and later, you can run Arm workloads on the Autopilot container-optimized compute platform by using the general-purpose`autopilot-arm` and `autopilot-arm-spot` ComputeClasses. You can select these ComputeClasses in Autopilot or Standard clusters. GKE runs the workloads that select these ComputeClasses in Autopilot mode. This compute platform improves Pod scheduling latency, especially during autoscaling operations. For more information, see the following documents:
* [Deploy workloads in Autopilot mode](https://docs.cloud.google.com/kubernetes-engine/docs/concepts/autopilot-overview#deploy-workloads)
* [Autopilot Arm workloads](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/autopilot-arm-workloads)
What else is happening at Google Cloud Platform?
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DNS automation is now generally available (GA) on Cloud SQL instances where Private Service Connect is enabled
about 21 hours ago
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