Hands-on cloud and platform engineering training for teams migrating, scaling or hardening infrastructure across AWS, Azure and GCP.
What the program covers
Modules go from infrastructure-as-code and container orchestration with Kubernetes to CI/CD pipeline design, observability and cost optimization. Teams leave with pipelines and runbooks they can deploy the same week.
Recent outcomes
- A retail client migrated a monolith to Kubernetes over a two-week intensive, cutting deploy time from hours to minutes.
- An internal platform team designed a reusable CI/CD template now used across 20 repositories.
- A scale-up reduced monthly cloud spend by 30% after the cost-optimization module.
Technologies covered
- AWS
- Azure
- GCP
- Kubernetes
- Terraform
- Docker
- GitHub Actions
Program agenda
Infrastructure as code (Day 1)
- Terraform fundamentals
- Reusable modules
- State management & remote backends
- Multi-cloud best practices
Containers & orchestration (Days 2–3)
- Advanced Docker
- Kubernetes architecture
- Deployments & rolling updates
- Helm & configuration management
CI/CD (Day 4)
- Pipeline design
- Automated testing
- Deployment strategies (blue-green, canary)
- Pipeline security
Observability & cost (Day 5)
- Monitoring & alerting
- Centralized logging
- FinOps & cost optimization
- Disaster recovery plan
Deliverables
- Reusable CI/CD pipeline
- Reference Kubernetes cluster
- Operations runbook
- Cloud cost dashboard
Commitments
- Group of 6 to 10 people
- Prerequisites: basic Linux & networking
- Duration: 5 days
- One cloud provider of your choice
Equipment & materials
- Cloud sandbox environment provided
- Dedicated Kubernetes access
- Laptop required (BYOD)
- Course materials + cheatsheets