GKE - Google Kubernetes Engine

GKE Deployment and Administration

GKE modes of operation

Google Kubernetes Engine (GKE) offers two distinct cluster modes—Autopilot and Standard—to suit a wide range of application needs. Autopilot provides a turnkey, fully managed environment, while Standard mode grants you deeper control over node configuration and infrastructure. Use this guide to compare features, costs, and management responsibilities so you can select the best fit for your workloads.


GKE Autopilot Mode

In Autopilot mode, Google handles the entire infrastructure stack—nodes, autoscaling, upgrades, security, and networking—so you can deploy containers without managing servers.

The image is an infographic about GKE Autopilot, highlighting features like infrastructure, node configuration, autoscaling, auto-upgrades, security, and networking. It includes icons and a central GKE logo.

Key benefits of Autopilot:

  • Resource-based billing: Only pay for the CPU, memory, and ephemeral storage you consume.
  • Hands-off node management: Google auto-provisions, patches, repairs, and scales nodes.
  • Cluster autoscaling: Automatic pod and node scaling based on real-time demand.
  • Auto-upgrades & patching: Continuous security updates and Kubernetes version upgrades.
  • Built-in security: Default network policies, PodSecurity standards, and container sandboxing.
  • Simplified networking: Managed VPC setup, integrated load balancing, and ingress controls.

Note

Autopilot is ideal for most production workloads, delivering a secure, cost-effective Kubernetes environment without server maintenance.


GKE Standard Mode

Standard mode splits responsibilities: Google manages the control plane, and you oversee worker nodes, including their scaling, upgrades, and security.

The image illustrates the "GKE Modes of Operation," showing the roles of Google and the user in managing the control plane, configuring nodes, managing node pools, and choosing node specifications.

In Standard mode, you:

  • Rely on Google-managed control plane for HA, patching, and upgrades.
  • Create and configure node pools, selecting machine types, disk sizes, labels, and taints.
  • Enable cluster autoscaler or custom autoscaling policies for nodes and pods.
  • Control node OS, runtime, and SSH access to install additional software.

Warning

With Standard mode, you’re responsible for node provisioning, scaling, and maintenance. Plan for additional operational overhead and monitoring.

Zonal vs. Regional Clusters

Choose between a zonal or regional control plane when creating a Standard cluster:

Cluster TypeControl Plane ReplicasAvailabilityApproximate Cost
Zonal1 replica in a single zoneModerateLower
Regional3 replicas across three zonesHighHigher
  • Zonal: Best for cost-sensitive workloads; limited control plane redundancy.
  • Regional: Perfect for critical applications requiring multi-zone fault tolerance.

Benefits of Standard Mode

Standard mode grants you maximum flexibility and customization at the node level.

The image illustrates the benefits of GKE Standard Mode, highlighting control, flexibility, and customization with corresponding icons. A central checkmark symbol is surrounded by a blue and green circular design.

  • Full node control over OS settings, container runtimes, and custom drivers.
  • Machine type selection for optimized CPU, memory, GPU, and local SSD configurations.
  • Network topology customization with custom VPCs, subnets, and firewall rules.
  • Granular security: tailor PodSecurityPolicies, Linux sysctls, and node hardening.
  • Version management: choose Kubernetes versions and schedule upgrades on your timeline.

Comparing Autopilot vs. Standard

Use this side-by-side comparison to align mode capabilities with your requirements:

The image is a comparison chart for selecting a suitable mode for workloads, contrasting "Autopilot" and "Standard" configurations based on factors like availability, network routing, worker nodes, version management, and security.

FactorAutopilotStandard
Operational OverheadFully managedYou manage nodes, autoscaling, and patching
Billing ModelPay-per-resource (CPU, memory, storage)Pay for entire VM instances
Node-Level CustomizationLimitedFull control of node OS and software
High AvailabilityBuilt-in multi-zone podsZonal or regional control plane options
Security ConfigurationHardened defaults, automatic patchingCustom PodSecurity, network policies
Use CasesGeneral container workloadsSpecialized workloads (GPU, drivers, SSH)

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