100-Day Multi-Cloud Roadmap (Project-Based Only)

• Phase 1 (Days 1–20): Single-Cloud Deepening — Core Services Projects

• Phase 2 (Days 21–50): Intermediate Multi-Cloud — Replicating Solutions Across Clouds

• Phase 3 (Days 51–80): Multi-Cloud Architectures — Combined Systems

• Phase 4 (Days 81–100): Portfolio-Level Advanced Projects

Each project is based on what a 3-year-level cloud engineer would be expected to deliver.

⭐ PHASE 1 — Deepen Core Skills (Days 1–20)

Goal: get hands-on mastery with compute, networking, storage, IAM, monitoring in each cloud.

Project 1: Build and Deploy a 3-Tier Web App (AWS) — Days 1–7

Services: VPC, EC2, ALB, RDS, S3, IAM, CloudWatch
Tasks:

• Deploy a backend API on EC2

• Host images/files on S3

• Use RDS MySQL/Postgres

• Create dashboards/alarms

• Automate deployment with user-data

Outcome: Production-style environment on AWS.

Project 2: Serverless App with Azure Functions — Days 8–14

Services: Functions, Blob Storage, CosmosDB, Application Insights, VNet
Tasks:

• Event-driven serverless API

• Trigger Functions from Blob uploads

• Log everything in App Insights

• Secure endpoints via Azure AD

Project 3: Containerized App on GCP — Days 15–20

Services: GKE, Cloud Storage, Pub/Sub, Cloud SQL, Cloud Logging
Tasks:

• Build a containerized application

• Host it on GKE

• Add asynchronous processing via Pub/Sub

• Configure Cloud SQL + automated backups

• Logging and alerting in Cloud Monitoring

⭐ PHASE 2 — Replicate & Compare Across Clouds (Days 21–50)

Goal: learn cloud differences by building the same architecture three times.

Project 4: Multi-cloud CI/CD Systems — Days 21–30

Build the same pipeline in three clouds:

AWS

CodeCommit → CodeBuild → CodeDeploy → ECS

Azure

Repos → Pipelines → App Service

GCP

Cloud Source Repos → Cloud Build → Cloud Run

Outcome: You’ll understand CI/CD differences deeply.

Project 5: Cloud Storage Comparison + Replication — Days 31–40

Build a file-processing workflow on all clouds:

AWS

S3 → SQS → Lambda → DynamoDB

Azure

Blob → Queue Storage → Functions → Table Storage

GCP

Cloud Storage → Pub/Sub → Cloud Function → Firestore

Deliverable: Document differences + build a unified API wrapper.

Project 6: Networking & Security Hardening — Days 41–50

Implement secure networking:

• AWS: VPC + Private Subnets + NAT + SGs

• Azure: VNets + NSGs + Private Endpoints

• GCP: VPC + Firewall Rules + Serverless VPC Access

Mini-project: Build the same private-network architecture in all 3 clouds.

⭐ PHASE 3 — True Multi-Cloud Architectures (Days 51–80)

Now you start building systems that WORK ACROSS clouds.

Project 7: Multi-Cloud Disaster Recovery Setup — Days 51–60

Goal: Replicate a workload across clouds.

You will:

• Host primary app in AWS

• Maintain warm standby in Azure

• Use GCP Cloud Storage as cross-cloud backup location

Key Deliverables:

• Automated backup pipeline (AWS → GCP)

• Failover scripts

• Health checks

Project 8: Multi-Cloud Kubernetes (EKS + AKS + GKE) — Days 61–70

What you build:

• Same microservice deployed to all 3 clusters

• Shared container registry (DockerHub or GitHub Registry)

• Multi-cloud ingress routing

• Observability using Prometheus/Grafana

Stretch Goal: Deploy service mesh using Istio across clouds.

Project 9: Multi-Cloud Event Bus & Messaging — Days 71–80

Connect services across clouds using APIs + messaging.

You will build:

• AWS Lambda triggers → send event to Azure Function

• Azure Event Grid → send event to GCP Pub/Sub

• GCP Function → send event to AWS SQS

This teaches you:

• Identity federation

• Cross-cloud secure API communication

• Event-driven architecture at scale

⭐ PHASE 4 — Capstone (Portfolio) Projects (Days 81–100)

Project 10: Full Multi-Cloud SaaS Application — Days 81–90

A production-ready app deployed across all clouds.

Architecture

• Frontend on Cloudflare

• Backend microservices split across:

  • AWS (auth + user management)

  • Azure (analytics service)

  • GCP (media processing)

• Shared API gateway layer

• Centralized logging layer (OpenTelemetry)

Outcome: This is a job-winning portfolio project.

Project 11: Multi-Cloud Infrastructure as Code (IaC) — Days 91–95

Use Terraform to provision:

• AWS ECS service

• Azure Function App

• GCP Cloud Run

All from the SAME codebase using modules.

Project 12: Multi-Cloud FinOps + Monitoring Dashboard — Days 96–100

You will create:

• A cost dashboard comparing usage across clouds

• A log ingestion pipeline

• Error aggregation into a single panel

• Notifications via Slack/Teams

Tools:

• Grafana / Prometheus

• CloudWatch → Azure Monitor → GCP Monitoring

🎯 Deliverables You’ll Have After 100 Days

You will finish with:

✔ 12 High-Level Multi-Cloud Projects

✔ 1 Multi-Cloud SaaS Capstone

✔ Terraform IaC across AWS, Azure, GCP

✔ Multi-cloud CI/CD pipelines

✔ Multi-cloud Kubernetes deployments

✔ Disaster-recovery cross-cloud system

✔ Portfolio ready for cloud engineer roles

Complete video link

For more information about interview questions and answers Open-source Projects, DevOps and Cloud project, please stay tuned TechCareerHubs official website.