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.
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
ContainersPackage 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
Kubernetes
OrchestrationThe 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
AWS
Cloud ProviderAmazon 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
Terraform
Infrastructure as CodeDefine 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
CI/CD Pipelines
AutomationAutomate 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
Monitoring & Observability
ReliabilityYou 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
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:
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.
Terraform, AWS CloudFormation, and Pulumi — define your entire cloud in version-controlled files.
Least-privilege IAM roles, VPC design, secrets management, and compliance best practices.
Horizontal scaling, load balancing, auto-scaling groups, and stateless service design.
Reserved instances, spot fleets, rightsizing, and monitoring spend before it surprises you.
From local dev to global scale
Containerise
Package your Python backend into a Docker container with a lean, production-ready image.
Provision
Define your cloud infrastructure with Terraform — VPC, subnets, databases, and compute.
Orchestrate
Deploy to Kubernetes or ECS. Add auto-scaling, health checks, and rolling updates.
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.
Load Balancing
Application and network load balancers, health checks, sticky sessions, and blue/green routing.
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.
Ready to build cloud-native systems?
Explore our full library of cloud tutorials or contact us to request a specific topic — from bare-metal Kubernetes to serverless event pipelines.