Google Cloud · Infrastruttura · YoctoIT tech page

GKE

Managed Kubernetes from those who invented it: with Autopilot you delegate the nodes too and pay only for the pods that run.

FOCUS · THE ORIGINAL K8SAutopilot: the cluster without nodes to manage, billed per pod
Request the Free Assessment Learn more
YoctoIT material for clients and partners · Google Cloud, BigQuery, Gemini and the other products mentioned are trademarks of Google LLC.
01 · What it is

Google Kubernetes Engine, made clear.

Google created Kubernetes and GKE remains the reference: release channels updated first, Autopilot removing node management (you declare the pod, Google handles the rest, you pay for what's requested), and true scale — clusters up to 65,000 nodes for the most extreme AI workloads.

Autopilot
zero nodes to manage: you pay for the pod, not the VM underneath
1st
Kubernetes releases arrive here first: upstream is at home
65k
nodes per cluster in GKE: the scale the AI era needs
Google Kubernetes Engine
OFFICIAL GOOGLE CLOUD BRANDING · GKE
CONSOLE REALE · GKE OBSERVABILITY · FONTE: GOOGLE CLOUD DOCS
REAL CONSOLE · GKE OBSERVABILITY · SOURCE: GOOGLE CLOUD DOCS
02 · How to use it well

The things that make the difference.

The two modes

Your containerized workloadsmicroservices, jobs, AI
Autopilot · pod-based
Standard · node-based
maximum delegation · fine control
Release channels & fleetgoverned upgrades, multi-cluster
Google's global network and LBsworldwide traffic, natively
Kubernetes from the original manufacturer

Autopilot by default

For most workloads it's the right choice: less operational surface, costs aligned with use.

Honest requests

On Autopilot you pay the requests: tuning the pods' CPU/memory is directly money.

Fleet and config sync

Multiple clusters governed as a fleet: policies and config from a single place.

Platform security

Workload Identity, Binary Authorization, GKE Sandbox: the defenses that elsewhere are projects.

03 · In depth

Autopilot, channels and true scale

GKE offers two modes: Standard (you govern the nodes) and Autopilot (you pay for the pods, Google manages the nodes, hardening included). Release channels (rapid/regular/stable) and maintenance windows govern the automatic upgrades of the control plane and nodes; the cluster autoscaler and node auto-provisioning add the right size on their own; Workload Identity federates the pods on IAM; Backup for GKE protects state and manifests.

  • Autopilot — no nodes to manage: you pay for the pod, hardening comes standard
  • Release channel — the upgrade speed chosen per cluster: stable for prod
  • Node auto-provisioning — pools created from the pods' requirements: the size decided by the load
  • Workload Identity — pods authenticated on IAM without exported keys
  • Multi-cluster (Fleet) — config and service mesh across clusters: the governed fleet
  • Backup for GKE — state and volumes natively protected: container DR
04 · Numbers and lifecycle

The numbers that matter.

15k
nodes per Standard cluster: the highest scale on the market
99,95%
regional control plane SLA
3
the channels: speed is a choice
0
nodes to patch in Autopilot
GKE is the Kubernetes with the least operations: channels, identity and autoscaling set up by us — the cluster that maintains itself.
05 · Use cases

Where it really pays off.

Microservices platform

The cloud-native runtime with minimal maintenance.

AI jobs and batch

Queues and training on spot, orchestrated by K8s.

Multi-cluster

Prod, DR and regions under a single fleet.

Kubernetes without the operational burden: GKE Autopilot, designed and watched by us.