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API Gateways: Exposing serverless functions securely

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Securing Serverless APIs

You should never expose a raw Lambda or Azure Function directly to the internet. You must use an API Gateway as a protective shield and routing layer.

1. Authentication & Authorization

The Gateway verifies the **JWT Token** or **API Key** before the function is even invoked. This saves you money because you don't pay for "Execution Time" for unauthorized requests.

2. Throttling & Usage Plans

Want to limit "Free Tier" users to 100 requests per day while giving "Premium" users unlimited access? The API Gateway handles this via **Usage Plans**. It protects your backend from getting overwhelmed by a single client.

3. Request Transformation

The Gateway can transform a complex XML request into a simple JSON object before passing it to your function. This keeps your serverless code clean and focused on business logic, not protocol parsing.

4. Interview Mastery

Q: "How do you handle API Versioning in an API Gateway?"

Architect Answer: "We use **Stages** or **Path Routing**. You can have `/v1/users` point to the old Lambda and `/v2/users` point to the new one. This allows you to support legacy mobile apps while rolling out major breaking changes. You can also use **Canary Stages** to send 10% of users to the new version for testing."

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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