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Ingress Controllers & Service Mesh (Istio) integration

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Ingress & Service Mesh

How does an external user hit your K8s cluster? And how do internal services talk securely? We use Ingress Controllers for the "Front Door" and Service Mesh for internal security.

1. Ingress Controller (Nginx / ALB)

Instead of creating an expensive LoadBalancer for every single service, you create ONE Ingress Controller. It acts as an internal Nginx that routes traffic based on the URL path (e.g., /api -> API service, /web -> Web service). It also handles **SSL/TLS Termination** in one place.

2. The Service Mesh (Istio)

As you grow to 50+ microservices, you need internal security and metrics. **Istio** injects a "Sidecar" proxy (Envoy) into every pod. It provides:

  • mTLS: Automatic encryption of all internal traffic.
  • Canary Progressions: Send 1% of traffic to v2 of your service.
  • Retries/Timeouts: Automatically handle internal network drops.

4. Interview Mastery

Q: "When is a Service Mesh an Overkill?"

Architect Answer: "Service Mesh adds significant resource overhead (every pod gets a 50MB+ sidecar) and massive complexity to your K8s manifests. If you only have 5-10 services, you can handle retries and security in your application code. You should only adopt a Service Mesh when you reach 'Complexity Debt'—where the cost of managing internal traffic manually is higher than the cost of running Istio."

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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