intermediate

Cloud DevOps & Containers Path

Master modern containerization, serverless compute, and global traffic routing.

40 mins4 Architectural Steps

Choose Platform:

STEP 1

Infrastructure as a Service (Virtual Machines)

Deploy and manage configurable virtual machine compute nodes with persistent block storage.

Google Cloud Platform

Custom and predefined VMs on Google's global network with live migration during hardware maintenance.

Key Concepts:

Custom Machine TypesLive MigrationManaged Instance Groups (MIGs)Spot VMs

CLI Example:

gcloud compute instances create web-1 --zone=us-central1-a --machine-type=e2-medium

STEP 2

Deploy stateless containerized microservices that automatically scale from zero to thousands.

Google Cloud Platform

Runs any OCI container, scales from 0 to 1,000s in seconds, and handles up to 1,000 concurrent requests per container.

Key Concepts:

Scale to ZeroMulti-request Concurrency (up to 1,000)Instant HTTPS TLSTraffic Splitting

CLI Example:

gcloud run deploy api --image=gcr.io/proj/api:v1 --region=us-central1 --allow-unauthenticated

STEP 3

Deploy and manage complex multi-container microservice architectures at scale.

Google Cloud Platform

Created by the original authors of Kubernetes. Autopilot mode eliminates node management with per-pod pricing.

Key Concepts:

GKE Autopilot (Pay-per-Pod)Dataplane v2 (Cilium/eBPF)Workload IdentityCluster Autoscaler

CLI Example:

gcloud container clusters create-auto prod-cluster --region=us-central1

STEP 4

Route worldwide user traffic to the closest healthy backend with a single Anycast IP.

Google Cloud Platform

Single global Anycast IP routes traffic worldwide to the closest healthy region with integrated Cloud Armor WAF.

Key Concepts:

Single Global Anycast IPZero Pre-warming (Instant 1M+ RPS)Serverless NEGsCloud Armor WAF

CLI Example:

gcloud compute backend-services create web-backend --global --protocol=HTTP