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Google Kubernetes Engine (GKE) & Operations

Google invented Kubernetes. GKE is the premier managed Kubernetes implementation in the industry, featuring four-way autoscaling (horizontal pod autoscaling, vertical pod autoscaling, node…

20 Jun 20263 min readSelf Guide · Stage 6#GCP#Compute Engine#W3DevOps

Lesson 20 of 26 · Module: Google Cloud

22 min read · Source notes — Managing GKE Nodes & Cloud Operations

Google invented Kubernetes. GKE is the premier managed Kubernetes implementation in the industry, featuring four-way autoscaling (horizontal pod autoscaling, vertical pod autoscaling, node auto-provisioning, and cluster autoscaling).

Screenshot: Managing GKE Nodes & Cluster Creation

Inspecting managed node pools, auto-repair, auto-upgrades, and cluster topology in GKE.

1. GKE Autopilot vs GKE Standard

CapabilityGKE Autopilot (Recommended)GKE Standard
Node ManagementFully managed by Google (No worker VMs to patch or maintain)You manage VM instance types, OS versions, and node pools
Billing ModelPay only for Pod CPU/RAM requests that are actually runningPay for underlying Compute Engine VMs regardless of pod utilization
Security HardeningPre-configured according to CIS Kubernetes benchmark best practicesManual configuration of RBAC, network policies, and OS hardening

Screenshot: Cloud Logging & Activity Filtering

Running LogQL filters across cluster pods, API gateways, and audit activity streams.

Screenshot: BigQuery for Serverless SQL Analytics

Querying petabyte-scale application logs and metrics in seconds using ANSI SQL in BigQuery.


Keep going: ← Lesson 19 · Lesson 21 → · Module overview · Track it in the Self Guide