☁️ Cloud Infrastructure

Build Infrastructure
That Scales Without Limits

From a single Docker container to multi-region Kubernetes clusters. Learn the tools, patterns, and trade-offs that power modern cloud deployments — the way real platform engineers do it.

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Docker
Container Runtime
K8s
Orchestration
☁️
AWS
Cloud Provider
🔁
CI/CD
Automation

The cloud engineer's toolkit

We cover every layer of the modern cloud stack — from containerising your first app to orchestrating hundreds of microservices in production.

Docker

Containers

Package your application and its dependencies into a portable container that runs identically everywhere — from your laptop to a cloud VM.

  • Dockerfile best practices & multi-stage builds
  • Docker Compose for local development
  • Image layers, caching & optimisation
  • Container networking & volumes
  • Publishing to Docker Hub & ECR
Explore Docker tutorials

Kubernetes

Orchestration

The industry standard for container orchestration. Deploy, scale, and manage containerised workloads with self-healing, rolling updates, and service discovery built in.

  • Pods, Deployments & ReplicaSets
  • Services, Ingress & Load Balancers
  • ConfigMaps, Secrets & Namespaces
  • Helm charts & package management
  • Auto-scaling with HPA & VPA
Explore Kubernetes tutorials

AWS

Cloud Provider

Amazon Web Services — the world's most comprehensive cloud platform. From EC2 and S3 to Lambda, RDS, and EKS, we guide you through the services Python developers use most.

  • EC2, VPC & Security Groups
  • S3, IAM & CloudFront CDN
  • RDS, DynamoDB & ElastiCache
  • Lambda & serverless patterns
  • ECS / EKS for container workloads
Explore AWS tutorials

Terraform

Infrastructure as Code

Define your entire cloud infrastructure as versioned, reproducible code. Terraform lets you provision, change, and destroy resources across any cloud provider with a single declarative workflow.

  • HCL syntax & resource blocks
  • State management & remote backends
  • Modules & reusable configurations
  • Workspaces for multi-environment deploys
  • Terraform Cloud & CI/CD integration
Explore Terraform tutorials

CI/CD Pipelines

Automation

Automate your test, build, and deployment workflow so every code commit flows safely and rapidly from developer laptop to production. We cover GitHub Actions, GitLab CI, and AWS CodePipeline.

  • GitHub Actions workflows & secrets
  • Automated testing in pipelines
  • Docker image builds & registry push
  • Blue/green & canary deployments
  • Rollback strategies & feature flags
Explore CI/CD tutorials

Monitoring & Observability

Reliability

You can't improve what you can't measure. Learn to instrument your services with metrics, logs, and distributed traces so you can detect, diagnose, and resolve production incidents faster.

  • Prometheus metrics & alerting
  • Grafana dashboards & panels
  • Structured logging with ELK Stack
  • Distributed tracing with OpenTelemetry
  • SLOs, SLAs & error budgets
Explore observability tutorials
docker-compose.yml
version: "3.9"

services:
  api:
    build: .
    ports:
      - "8000:8000"
    environment:
      - DATABASE_URL=postgresql://...
      - REDIS_URL=redis://cache:6379
    depends_on:
      - db
      - cache

  db:
    image: postgres:16-alpine
    volumes:
      - pgdata:/var/lib/postgresql/data

  cache:
    image: redis:7-alpine

volumes:
  pgdata:
deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: teach-cloud-api
spec:
  replicas: 3
  selector:
    matchLabels:
      app: teach-cloud-api
  template:
    spec:
      containers:
        - name: api
          image: teach-cloud/api:latest
          resources:
            limits:
              cpu: "500m"
              memory: "256Mi"

Production-grade infrastructure, explained clearly

Too many cloud tutorials show you how to click through the AWS console. We show you how to build infrastructure that is reproducible, auditable, and resilient — using code and automation from day one.

Every guide is grounded in the real decisions platform engineers face: when to use managed services vs. self-hosted, how to right-size your instances, and how to design for failure.

🏗️
Infrastructure as Code

Terraform, AWS CloudFormation, and Pulumi — define your entire cloud in version-controlled files.

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Cloud Security & IAM

Least-privilege IAM roles, VPC design, secrets management, and compliance best practices.

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Scalability Patterns

Horizontal scaling, load balancing, auto-scaling groups, and stateless service design.

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Cost Optimisation

Reserved instances, spot fleets, rightsizing, and monitoring spend before it surprises you.

From local dev to global scale

01

Containerise

Package your Python backend into a Docker container with a lean, production-ready image.

02

Provision

Define your cloud infrastructure with Terraform — VPC, subnets, databases, and compute.

03

Orchestrate

Deploy to Kubernetes or ECS. Add auto-scaling, health checks, and rolling updates.

04

Automate & Observe

Wire up CI/CD pipelines, Prometheus metrics, Grafana dashboards, and alert policies.

Key Cloud Concepts

🌐

Networking & VPC

Subnets, routing tables, security groups, NAT gateways, and peering connections explained from first principles.

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Load Balancing

Application and network load balancers, health checks, sticky sessions, and blue/green routing.

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Serverless & Lambda

Event-driven functions, cold starts, memory tuning, and integrating Lambda with API Gateway and SQS.

🗄️

Managed Databases

RDS, Aurora, DynamoDB — choosing the right database and configuring read replicas and backups.

Caching Layers

ElastiCache with Redis, CloudFront CDN, and in-process caching strategies to reduce latency and DB load.

🔐

Secrets & IAM

AWS Secrets Manager, Parameter Store, IAM roles with least-privilege, and cross-account access patterns.

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