GKE Dataplane V2

Related topics

• anetd is part of GKE Dataplane V2 From the official documentation: “anetd is the networking controller for GKE Dataplane V2.”
• GKE Dataplane V2 depends on eBPF From the official documentation: “GKE Dataplane V2 is implemented using [eBPF](https://ebpf.io/what-is-ebpf/).”
• GKE Dataplane V2 is part of GKE From the official documentation: “GKE clusters running version 1.35 with GKE Dataplane V2 enabled might experience an increase in the number of `ciliumidentities.cilium.io` custom resources.”
• Autopilot depends on GKE Dataplane V2 From the official documentation: “The same limit is applicable to Autopilot clusters as they use GKE Dataplane V2.”
• Autopilot works with GKE Dataplane V2 From the official documentation: “Autopilot clusters use GKE Dataplane V2 and only support Cilium NetworkPolicies.”
• GKE Dataplane V2 is part of Google Kubernetes Engine From the official documentation: “[Create a GKE cluster that uses GKE Dataplane V2](/kubernetes-engine/docs/how-to/allocate-network-resources-dra#create-cluster).”
• GKE Dataplane V2 is an alternative to kube-proxy From the official documentation: “Without `kube-proxy`, the cluster uses GKE Dataplane V2 in *kube-proxy-replacement* mode.”
• Autopilot is an alternative to Standard From the official documentation: “Choose **Standard** or **Autopilot**.”
• Autopilot is part of GKE From the official documentation: “Create a GKE cluster in Autopilot mode”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• Cloud Logging works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh stores the dry-run results to Cloud Logging in the following labels:”
• Cloud Monitoring works with Cloud Service Mesh From the official documentation: “Mesh telemetry is no longer automatically ingested into Cloud Monitoring.”
• Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
• Cloud Run works with Cloud Service Mesh From the official documentation: “This section shows you how to troubleshoot common errors with Cloud Service Mesh and Cloud Run.”
• Cloud Run is an alternative to GKE From the official documentation: “The app uses Cloud SQL, Vertex AI, and either Google Kubernetes Engine (GKE) or Cloud Run.”
• Standard is part of GKE From the official documentation: “Create an Autopilot or Standard GKE cluster:”
• Cloud Service Mesh depends on GKE From the official documentation: “Provision managed Cloud Service Mesh on a GKE cluster.”
• Cloud Service Mesh works with GKE From the official documentation: “# Set up a proxyless gRPC service mesh on GKE”
• Cloud Service Mesh works with Google Kubernetes Engine From the official documentation: “A GKE Cluster with Cloud Service Mesh enabled”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Service Mesh works with Compute Engine From the official documentation: “You can run applications on the following platforms and adopt them into a global service mesh that Cloud Service Mesh configures. | Feature | Supported | | --- | --- | | Compute Engine virtual machine (VM) instances | ✔ |”
• Compute Engine is an alternative to Google Kubernetes Engine From the official documentation: “You can install MongoDB on a Compute Engine instance or you can deploy MongoDB on Google Kubernetes Engine.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• anetd is an alternative to kube-proxy From the official documentation: “The `anetd` controller replaces the service routing kube-proxy and the routing it would perform in the kube-system namespace.”
• Autopilot works with Cloud Logging From the official documentation: “For GKE Autopilot clusters, you cannot disable the Cloud Monitoring and Cloud Logging integration.”
• Autopilot works with Cloud Monitoring From the official documentation: “For GKE Autopilot clusters, you cannot disable the Cloud Monitoring and Cloud Logging integration.”
• Autopilot is part of Google Kubernetes Engine From the official documentation: “You can configure KubeRay on TPUs in a GKE Autopilot or Standard cluster.”
• Cloud Logging works with Cloud Monitoring From the official documentation: “If a log entry matches the filter of the alerting policy, then Cloud Logging extracts labels and forwards the data to Cloud Monitoring.”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Logging works with Google Kubernetes Engine From the official documentation: “As an example, if you are using GKE, you can [use Cloud Logging to query](/logging/docs/view/building-queries) for GKE cluster audit logs.”
• Cloud Monitoring works with Cloud Run From the official documentation: “Cloud Monitoring records metrics regarding the execution of Cloud Run.”
• Cloud Monitoring works with Compute Engine From the official documentation: “Many Google services like Compute Engine send telemetry to Cloud Monitoring.”
• Cloud Run works with GKE From the official documentation: “Leverage Google Kubernetes Engine (GKE) and Cloud Run to deploy applications to the Google Cloud, optimizing costs, performance, and management overhead.”
• Cloud Run works with Google Kubernetes Engine From the official documentation: “Improved security: take advantage of automatic IAM JWT injection for more secure communication between GKE and Cloud Run.”
• Cloud Service Mesh depends on Cloud Monitoring From the official documentation: “Cloud Service Mesh uses Cloud Monitoring to provide automatic telemetry and logs.”
• Google Kubernetes Engine depends on Compute Engine From the official documentation: “Other products, such as [Google Kubernetes Engine](/kubernetes-engine) and [Dataflow](/dataflow), use Compute Engine resources and therefore, can be deployed in the same regions or zone.”
• Standard is part of Google Kubernetes Engine From the official documentation: “You can configure KubeRay on TPUs in a GKE Autopilot or Standard cluster.”
• Cloud Logging is an alternative to Cloud Monitoring From the official documentation: “To see the status of your invalidation request or find a definitive list of recently submitted requests, you can use Cloud Logging or Cloud Monitoring.”
• Cloud Monitoring works with Google Kubernetes Engine From the official documentation: “This page describes how to configure a Google Kubernetes Engine (GKE) cluster to send a curated set of cAdvisor/Kubelet metrics to Cloud Monitoring using Google Cloud Managed Service for Prometheus.”
• Cloud Run works with Compute Engine From the official documentation: “This lets Cloud Run clients use this backend service route to send requests directly to Compute Engine instances.”
• Cloud Run is an alternative to Compute Engine From the official documentation: “The decision of whether to use Cloud Run, GKE, or Compute Engine as your application host involves trade-offs between configuration flexibility and management effort.”
• Cloud Run is an alternative to Google Kubernetes Engine From the official documentation: “Run agents locally or scale them globally using Runtime, Cloud Run, or Google Kubernetes Engine.”
• Cloud Service Mesh depends on Google Kubernetes Engine From the official documentation: “Cloud Service Mesh service security is supported only with GKE.”
• Compute Engine works with GKE From the official documentation: “For example, Google Kubernetes Engine (GKE) can cause usage in Compute Engine.”
• Compute Engine works with Google Kubernetes Engine From the official documentation: “Compute Engine integrates with Google Cloud technologies such as Cloud Storage, Google Kubernetes Engine, and BigQuery, to extend beyond the basic computational capability to create more complex and sophisticated applications.”