feat(lab-03): complete Phase 4 - Compute & EC2 lab
Phase Plans (5 files): - 04-RESEARCH.md: Domain research on Docker limits, healthchecks, EC2 parallels - 04-VALIDATION.md: Success criteria and validation strategy - 04-01-PLAN.md: Test infrastructure (RED phase) - 04-02-PLAN.md: Diátxis documentation - 04-03-PLAN.md: Infrastructure implementation (GREEN phase) Test Scripts (6 files, 1300+ lines): - 01-resource-limits-test.sh: Validate INF-03 compliance - 02-healthcheck-test.sh: Validate healthcheck configuration - 03-enforcement-test.sh: Verify resource limits with docker stats - 04-verify-infrastructure.sh: Infrastructure verification - 99-final-verification.sh: End-to-end student verification - run-all-tests.sh: Test orchestration with fail-fast - quick-test.sh: Fast validation (<30s) Documentation (11 files, 2500+ lines): Tutorials (3): - 01-set-resource-limits.md: EC2 instance types, Docker limits syntax - 02-implement-healthchecks.md: ELB health check parallels - 03-dependencies-with-health.md: depends_on with service_healthy How-to Guides (4): - check-resource-usage.md: docker stats monitoring - test-limits-enforcement.md: Stress testing CPU/memory - custom-healthcheck.md: HTTP, TCP, database healthchecks - instance-type-mapping.md: Docker limits → EC2 mapping Reference (3): - compose-resources-syntax.md: Complete deploy.resources reference - healthcheck-syntax.md: All healthcheck parameters - ec2-instance-mapping.md: Instance type mapping table Explanation (1): - compute-ec2-parallels.md: Container=EC2, Limits=Instance Type, Healthcheck=ELB Infrastructure: - docker-compose.yml: 5 services (web, app, worker, db, stress-test) All services: INF-03 compliant (cpus + memory limits) All services: healthcheck configured EC2 parallels: t2.nano, t2.micro, t2.small, t2.medium, m5.large - Dockerfile: Alpine 3.19 + stress tools + non-root user Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Luca Sacchi Ricciardi
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labs/lab-03-compute/reference/ec2-instance-mapping.md
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labs/lab-03-compute/reference/ec2-instance-mapping.md
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# Reference: EC2 Instance Type Mapping
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Tabella completa di mapping tra Docker resource limits e EC2 instance types.
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## Tabella di Mapping Completa
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| Docker Compose | EC2 Instance | vCPUs | Memory | Costo/ora* | Use Case |
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|----------------|--------------|-------|--------|------------|----------|
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| `cpus: '0.5'`<br>`memory: 512M` | t2.nano | 0.5 | 512 MB | $0.006 | Microservizi minimi |
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| `cpus: '1'`<br>`memory: 1G` | t2.micro | 1 | 1 GB | $0.012 | Dev/Test |
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| `cpus: '1'`<br>`memory: 2G` | t2.small | 1 | 2 GB | $0.024 | Web server |
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| `cpus: '2'`<br>`memory: 4G` | t2.medium | 2 | 4 GB | $0.048 | Application |
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| `cpus: '2'`<br>`memory: 8G` | m5.large | 2 | 8 GB | $0.096 | Production |
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| `cpus: '4'`<br>`memory: 16G` | m5.xlarge | 4 | 16 GB | $0.192 | High traffic |
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| `cpus: '8'`<br>`memory: 32G` | m5.2xlarge | 8 | 32 GB | $0.384 | Scalabile |
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| `cpus: '16'`<br>`memory: 64G` | m5.4xlarge | 16 | 64 GB | $0.768 | Enterprise |
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\*Costi indicativi per regione us-east-1
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## Famiglie Instance Types
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### General Purpose (m5, m6)
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Equilibrato tra CPU, memoria, rete.
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```yaml
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# m5.large - 2 vCPUs, 8 GB
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cpus: '2'
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memory: 8G
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```
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**Use case:** Web server, application server
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### Burstable (t2, t3)
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Credit-based CPU, basso costo.
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```yaml
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# t2.micro - 1 vCPU, 1 GB
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cpus: '1'
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memory: 1G
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```
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**Use case:** Dev, test, microservizi
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### Compute Optimized (c5, c6)
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Alto ratio CPU/memoria.
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```yaml
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# c5.xlarge - 4 vCPUs, 8 GB
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cpus: '4'
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memory: 8G
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```
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**Use case:** Batch processing, encoding
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### Memory Optimized (r5, r6)
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Alto ratio memoria/CPU.
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```yaml
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# r5.large - 2 vCPUs, 16 GB
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cpus: '2'
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memory: 16G
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```
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**Use case:** Database, caching
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## Docker Compose Examples
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### T2 Nano (Micro)
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```yaml
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micro:
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image: alpine:3.19
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deploy:
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resources:
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limits:
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cpus: '0.5'
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memory: 512M
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```
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### T2 Micro (Dev/Test)
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```yaml
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dev:
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image: node:alpine
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deploy:
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resources:
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limits:
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cpus: '1'
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memory: 1G
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```
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### T2 Small (Web)
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```yaml
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web:
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image: nginx:alpine
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deploy:
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resources:
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limits:
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cpus: '1'
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memory: 2G
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```
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### T2 Medium (Application)
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```yaml
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app:
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image: python:alpine
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deploy:
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resources:
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limits:
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cpus: '2'
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memory: 4G
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```
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### M5 Large (Production)
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```yaml
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production:
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image: myapp:latest
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deploy:
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resources:
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limits:
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cpus: '2'
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memory: 8G
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```
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## Shortcut Reference
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### Quick Copy-Paste
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```yaml
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# T2 Nano
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cpus: '0.5'; memory: 512M
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# T2 Micro
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cpus: '1'; memory: 1G
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# T2 Small
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cpus: '1'; memory: 2G
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# T2 Medium
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cpus: '2'; memory: 4G
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# M5 Large
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cpus: '2'; memory: 8G
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# M5 XLarge
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cpus: '4'; memory: 16G
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```
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## Vedi Anche
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- Tutorial: Configurare Limiti delle Risorse
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- How-to: Selezionare Instance Type
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- Explanation: Compute-EC2 Parallels
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