RoadmapFinder - Best Programming Roadmap Generator

Find the best roadmap for programming, web development, app development, and 50+ tech skills.

Cloud Engineering Mastery Roadmap 2025

Phase 1: Foundations

0–3 months

Understand cloud concepts, basics of infrastructure, networking, and programming

Core Concepts

  1. 1. Cloud basics: IaaS, PaaS, SaaS
  2. 2. Deployment models: Public, Private, Hybrid, Multi-cloud
  3. 3. Cloud providers overview: AWS, Azure, GCP
  4. 4. Networking basics: IP, DNS, Subnet, VPN, Firewall
  5. 5. Virtualization and Containers: VMs, Docker basics

Programming/Scripting

  1. 1. Python fundamentals for automation
  2. 2. Bash scripting for system administration
  3. 3. Linux basics (CLI, file management, permissions)
  4. 4. Git & GitHub for version control

Tools to Learn

  1. 1. Docker containers and containerization
  2. 2. AWS Free Tier for hands-on practice
  3. 3. Azure/GCP equivalent services
  4. 4. Basic command-line tools and utilities

Foundation Projects

  1. 1. Deploy a static website on AWS S3 or Azure Blob Storage
  2. 2. Launch a basic VM and install a web server (Apache/Nginx)
  3. 3. Build a small containerized Python app with Docker
  4. 4. Create basic automation scripts
Phase 1
Phase 2
Phase 2: Core Cloud Engineering

3–6 months

Learn to deploy and manage infrastructure, networking, and storage in the cloud

Compute Services

  1. 1. EC2 instances and configurations
  2. 2. Azure Virtual Machines management
  3. 3. GCP Compute Engine optimization
  4. 4. Auto-scaling and load balancing

Storage & Databases

  1. 1. S3, Azure Blob, GCP Cloud Storage
  2. 2. RDS, DynamoDB, Cloud SQL setup
  3. 3. Database backup and recovery strategies
  4. 4. Storage optimization and cost management

Networking & Security

  1. 1. VPC, Subnets, Security Groups configuration
  2. 2. Load Balancers and CDN implementation
  3. 3. IAM basics: Users, Roles, Policies
  4. 4. Basic security best practices

Infrastructure as Code

  1. 1. Terraform fundamentals and best practices
  2. 2. CloudFormation templates
  3. 3. Docker advanced: multi-container applications
  4. 4. Kubernetes basics (EKS/GKE/AKS)

Intermediate Projects

  1. 1. Multi-tier web application with database and load balancer
  2. 2. Deploy Dockerized microservice on AWS ECS or Azure App Service
  3. 3. Create IaC scripts to automate VM + Networking deployment
  4. 4. Set up Cloud monitoring and alerts (CloudWatch, Azure Monitor)
Phase 2
Phase 3
Phase 3: Advanced Cloud Engineering

6–12 months

Manage large-scale production systems, automation, and high availability

Container Orchestration

  1. 1. Kubernetes production deployments
  2. 2. Helm charts and package management
  3. 3. Service mesh implementation
  4. 4. Container security and best practices

CI/CD & DevOps

  1. 1. GitHub Actions workflow automation
  2. 2. Jenkins pipeline configuration
  3. 3. GitLab CI/CD implementation
  4. 4. Automated testing and deployment strategies

Serverless Architecture

  1. 1. AWS Lambda functions and triggers
  2. 2. Azure Functions development
  3. 3. Google Cloud Functions implementation
  4. 4. Event-driven architecture patterns

Monitoring & Security

  1. 1. Prometheus and Grafana setup
  2. 2. ELK stack for logging
  3. 3. Advanced IAM policies and KMS
  4. 4. Secrets management and encryption

Advanced Projects

  1. 1. Build fully automated CI/CD pipeline for microservices
  2. 2. Deploy Kubernetes cluster with auto-scaling and ingress
  3. 3. Implement serverless event-driven architecture
  4. 4. Set up multi-region high availability with failover
  5. 5. Monitor infrastructure with Prometheus + Grafana
Phase 3
Phase 4
Phase 4: Industry-Ready Specializations

12+ months

Become a versatile cloud engineer with domain expertise

Cloud DevOps Engineer

  1. 1. Advanced CI/CD pipeline optimization
  2. 2. Infrastructure automation at scale
  3. 3. Performance monitoring and optimization
  4. 4. Incident response and troubleshooting

Cloud Security Engineer

  1. 1. Advanced IAM and access management
  2. 2. Security compliance and auditing
  3. 3. Penetration testing methodologies
  4. 4. Web Application Firewall (WAF) configuration

Cloud Data Engineer

  1. 1. BigQuery, Redshift, Snowflake implementation
  2. 2. Data pipeline architecture and ETL processes
  3. 3. Real-time data processing systems
  4. 4. Data governance and security

Solutions Architect

  1. 1. High-scale architecture design
  2. 2. Cost optimization strategies
  3. 3. Multi-cloud deployment patterns
  4. 4. Disaster recovery planning

Industry-Level Projects

  1. 1. Deploy microservices across multi-cloud with IaC
  2. 2. Implement secure, scalable cloud data warehouse
  3. 3. Disaster recovery setup with automated backups
  4. 4. End-to-end DevOps: code → test → deploy → monitor
  5. 5. Cost-optimized production environment
Phase 4
Phase 5
Phase 5: Advanced Skills & Emerging Technologies

Future-proofing

Stay ahead with cutting-edge cloud technologies and practices

Multi-Cloud Management

  1. 1. Terraform for multi-cloud deployments
  2. 2. Crossplane for cloud-native infrastructure
  3. 3. Cloud-agnostic architecture patterns
  4. 4. Hybrid cloud integration strategies

AI/ML on Cloud

  1. 1. AWS SageMaker for machine learning
  2. 2. Google Vertex AI platform
  3. 3. Azure Machine Learning services
  4. 4. MLOps pipeline implementation

Edge Computing & IoT

  1. 1. Edge computing architectures
  2. 2. IoT cloud integration patterns
  3. 3. Content delivery optimization
  4. 4. Real-time data processing at edge

Cloud-Native Technologies

  1. 1. Service mesh (Istio, Linkerd)
  2. 2. API gateways and management
  3. 3. Event streaming platforms
  4. 4. Observability and distributed tracing
Phase 5
Phase 6
Phase 6: Professional Development & Soft Skills

Throughout Journey

Essential skills for career growth and industry success

Technical Leadership

  1. 1. Architecture decision making
  2. 2. Technical documentation and communication
  3. 3. Mentoring and knowledge sharing
  4. 4. Cross-functional collaboration

Business Skills

  1. 1. Cloud cost optimization and budgeting
  2. 2. ROI analysis for cloud investments
  3. 3. Vendor management and negotiations
  4. 4. Risk assessment and mitigation

Operational Excellence

  1. 1. Incident management and SRE practices
  2. 2. Change management processes
  3. 3. Capacity planning and forecasting
  4. 4. Performance tuning and optimization

Certifications

  1. 1. AWS Solutions Architect Professional
  2. 2. Azure Solutions Architect Expert (AZ-305)
  3. 3. Google Professional Cloud Architect
  4. 4. Certified Kubernetes Administrator (CKA)
  5. 5. DevOps and Security certifications

☁️ Congratulations! You're a Cloud Engineering Expert!

You've mastered the complete Cloud Engineering stack and are ready to architect, deploy, and manage enterprise-scale cloud solutions.