Tutorials DevOps & Cloud Architect Mastery

Terraform: Declarative infrastructure on any cloud

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Mastering Terraform

In the modern cloud, you never click buttons in the Azure or AWS portal to create a server. You write Terraform. It allows you to define your entire Infrastructure as Code (IaC).

1. Declarative vs Imperative

Terraform is Declarative. You describe the "End State" (e.g., "I want 3 VMs and a Load Balancer"). You don't tell it HOW to build them. Terraform calculates the minimum number of steps to reach that state. This is safer than scripts that might fail halfway through.

2. Providers & Resources

Terraform uses Providers (plugins) to talk to AWS, Azure, GCP, or even GitHub. You define **Resources** (the things you want to create) and **Data Sources** (things that already exist). This makes your infrastructure reusable and version-controlled.

4. Interview Mastery

Q: "What is the 'Terraform Plan' and why is it mandatory?"

Architect Answer: "`terraform plan` is a 'Dry Run.' It shows you exactly what Terraform will Create, Modify, or Delete before it actually does it. For an architect, this is the most important step. It prevents accidental deletions of production databases by showing you the impact of your code change before you commit to it."

DevOps & Cloud Architect Mastery
Course syllabus
1. Containerization with Docker Docker Internals: Namespaces, Cgroups, and UnionFS Optimizing Dockerfiles: Multi-stage builds and layer caching Docker Compose: Managing multi-container localized environments Security in Containers: Rootless mode and Image scanning
2. Orchestration with Kubernetes (K8s) K8s Architecture: Control Plane, Nodes, and Kubelet Pods, Deployments, and Services: The core building blocks Ingress Controllers & Service Mesh (Istio) integration Helm Charts: Package management for Kubernetes
3. CI/CD Pipelines GitHub Actions: Automating build, test, and deploy Jenkins Architecture: Master-Agent distributed builds Deployment Strategies: Blue-Green vs Canary vs Rolling The 'Shift Left' Philosophy: Integrating security and testing early
4. Infrastructure as Code (IaC) Terraform: Declarative infrastructure on any cloud Terraform State Management: S3 backends and State locks Ansible: Configuration management vs Infrastructure provision Pulumi: IaC using real programming languages (TS, Python)
5. Cloud Platforms Deep Dive (Azure/AWS) Virtual Networks (VPC): Subnets, Gateways, and Peering Identity & Access Management (IAM): The principle of least privilege Cloud Databases: Managed SQL vs Cosmos DB vs DynamoDB Cost Optimization: Savings Plans, Spot Instances, and FinOps
6. Serverless & Scaling AWS Lambda / Azure Functions: Event-driven scaling API Gateways: Exposing serverless functions securely Cold Starts: Understanding and mitigating latency Serverless Orchestration: Step Functions and Logic Apps
7. Security & Reliability (DevSecOps) Secrets Management: Azure Key Vault vs HashiCorp Vault Compliance as Code: Policy engines (OPA) and Audit logs Site Reliability Engineering (SRE): Error Budgets and SLOs Logs & Metrics: Setting up ELK and Prometheus in the cloud
8. FAANG Cloud Architect Interview Case Study: Migrating a Monolith to Cloud-Native Microservices Case Study: Designing a Global, Multi-Region Cloud Infrastructure
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