☁️ Cloud Deployment Strategies: Ship Smarter, Scale Better

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🧾 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.

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✅ 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

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🎯 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

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📚 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 kubectl and kubectl 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

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⏱️ 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

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🎓 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

🏗️ Infrastructure as Code Essentials: Automate Your Cloud the DevOps Way

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🧾 Course Description

Infrastructure as Code (IaC) is a foundational DevOps practice that enables you to provision and manage cloud infrastructure using version-controlled code — making your infrastructure reliable, repeatable, and scalable.

In “Infrastructure as Code Essentials”, you’ll learn the core concepts of IaC, hands-on usage of tools like Terraform, and real-world scenarios involving cloud provisioning, modularization, and automation. This course equips developers, DevOps engineers, and cloud architects to treat infrastructure the same way as application code — with testing, reusability, and CI/CD integration.

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✅ Key Benefits

• ⚙️ Automate Infrastructure Creation — No more manual provisioning or drift
• 🔁 Version-Controlled & Reproducible — Rollback changes just like source code
• ☁️ Multi-Cloud Compatible — Use Terraform to provision AWS, Azure, GCP, and more
• 📦 Modular & Scalable — Build reusable and parameterized infrastructure modules
• 🔐 Secure by Default — Manage secrets, policies, and configurations consistently

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🎯 Pre-requisites

• Basic understanding of cloud computing (e.g., AWS EC2, S3, IAM concepts)
• Familiarity with command-line interface (CLI)
• Optional but helpful: Git, YAML/JSON syntax, or CI/CD basics
• No prior experience with Terraform or IaC tools required

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📚 Curriculum Breakdown

📘 Module 1: Introduction to Infrastructure as Code

• What is IaC? Benefits & challenges
• Declarative vs imperative IaC
• Popular IaC tools: Terraform, CloudFormation, Pulumi (overview)

⚙️ Module 2: Terraform Basics

• Installing Terraform
• HCL syntax, provider blocks, and resources
• Creating and destroying infrastructure (init, plan, apply, destroy)

🧱 Module 3: Variables, Outputs & State

• Defining variables and input parameters
• Output values and references between resources
• Terraform state files and state locking

📦 Module 4: Modular Infrastructure Design

• Breaking configs into modules
• Passing variables to modules
• Using remote modules from the Terraform Registry

☁️ Module 5: Real-World Cloud Provisioning

• Provision AWS infrastructure (EC2, VPC, IAM, S3)
• Reusable VPC + subnet modules
• Intro to Azure and GCP equivalents

🔐 Module 6: Managing Secrets & Backends

• Using environment variables and .tfvars
• Storing state in S3 and securing with DynamoDB locking
• Terraform Cloud & remote workspaces (intro)

🧪 Module 7: Project – Infrastructure Pipeline

• Deploy a complete AWS environment using Terraform
  • VPC + EC2 + RDS + S3
  • Parameterized variables
  • Modular structure
  • Remote backend
  • Provision via CI/CD (GitHub Actions or Jenkins)

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⏱️ Estimated Duration

Daily Study Time	Estimated Duration	Learning Style
2 hours/day	12–14 days (~2 weeks)	Ideal for professionals and learners
4 hours/day	6–7 days (1 week)	Balanced theory + hands-on practice
6 hours/day	3–4 days (bootcamp)	Fast-track with real-world project

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🎓 Outcome

By the end of Infrastructure as Code Essentials, you’ll:

• Write reusable infrastructure scripts using Terraform
• Provision and manage cloud infrastructure with automation
• Implement infrastructure pipelines integrated with CI/CD
• Be ready for DevOps, Cloud Engineer, or Platform Architect roles