☁️ Cloud Deployment Strategies: Ship Smarter, Scale Better
🧾 Course Description
Cloud deployment is no longer just about uploading code — it’s about deploying securely, reliably, and at scale. In “Cloud Deployment Strategies”, you’ll master the principles and techniques for delivering applications to public, private, and hybrid cloud platforms using modern DevOps approaches.
This course explores multiple deployment strategies like blue-green, canary, rolling, and recreate, and shows how to implement them using tools like Docker, Kubernetes, GitHub Actions, and cloud platforms like AWS, Azure, or GCP.
By the end, you’ll be confident designing and executing deployment pipelines that reduce downtime, mitigate risk, and deliver fast.
✅ Key Benefits
- 🚀 Minimize Downtime — Learn zero-downtime deployments using modern strategies
- 🔁 Progressive Delivery — Canary and rolling releases ensure stability and fast feedback
- 🛡️ Risk-Controlled Shipping — Use automated rollbacks, traffic shifting, and versioning
- 🌍 Cloud-Native Focus — Apply concepts on AWS, Azure, GCP, and Kubernetes
- ⚙️ Tool-Integrated — Combine CI/CD tools, Docker, and infrastructure automation seamlessly
🎯 Pre-requisites
- Basic understanding of DevOps workflow and CI/CD pipelines
- Familiarity with Docker, Git, and basic shell scripting
- Optional: exposure to Kubernetes, cloud providers (AWS, GCP, Azure), or Terraform
📚 Curriculum Breakdown
🌐 Module 1: Introduction to Deployment
- Evolution of software deployment
- Deployment goals: speed, reliability, security
- Overview of cloud environments: public, private, hybrid
🔄 Module 2: Deployment Strategies Overview
- Recreate (Basic)
- Rolling
- Blue-Green
- Canary
- A/B Testing and Shadow Deployment (intro)
⚙️ Module 3: Implementing Deployment Strategies
- Docker-based deployment basics
- Running rolling and recreate deployments using shell scripts & services
- Blue-green and canary rollout using load balancers (Nginx/ALB)
☸️ Module 4: Kubernetes-Based Deployments
- Deployments with
kubectlandkubectl rollout - Rolling updates in Kubernetes
- Canary deployments using labels, selectors, and services
- Argo Rollouts (intro)
📦 Module 5: Deployment Automation with CI/CD
- GitHub Actions / GitLab CI pipeline integration
- Deploy on commit, approve to production
- Rollback on failure using conditions and health checks
🔒 Module 6: Deployment Patterns & Monitoring
- Health checks and readiness probes
- Traffic splitting and feature flag integration
- Logging, monitoring, and rollback automation
🧪 Module 7: Final Project
- End-to-End Deployment Project:
- Containerized web app
- CI/CD pipeline with GitHub Actions
- Blue-Green deployment to staging/production
- Auto-monitoring + rollback strategy
⏱️ Estimated Duration
| Daily Study Time | Estimated Duration | Learning Style |
|---|---|---|
| 2 hours/day | 14–16 days (~2–2.5 weeks) | Ideal for learners with day jobs |
| 4 hours/day | 7–8 days (~1 week) | Deep focus with real-world practice |
| 6 hours/day | 4–5 days (bootcamp) | Fast-paced, project-driven track |
🎓 Outcome
By the end of Cloud Deployment Strategies, you’ll:
- Understand and compare multiple deployment strategies
- Design zero-downtime pipelines using tools like Docker, Kubernetes, and GitHub Actions
- Automate rollouts and rollbacks based on metrics and health
- Be ready to implement real-world cloud deployments in startup or enterprise environments
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