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protechanalysis / cost_estimate.md
Created October 22, 2025 13:36
beejan tech cost estimate
Service Name Instance Type / Configuration Monthly Cost (USD)
Amazon EC2 t3a.xlarge (2 instances) 109.35
Amazon EC2 t2.nano (1 instance) 2.12
Amazon RDS for PostgreSQL db.m5.large (2 nodes) 565.46
Amazon Redshift ra3.large (2 nodes) 792.78
Amazon ElastiCache (Redis) cache.t3.micro (2 nodes) 24.82
Amazon VPC (1 NAT Gateway) 33.08
Elastic Load Balancing (ALB) (1 Application Load Balancer) 22.27
Total Monthly Cost **1,549.88
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protechanalysis / codebase.md
Last active October 22, 2025 12:38
codebase structure
├── .github/
│   └── workflows/
│       ├── ci.yaml             # Continuous Integration (CI) checks
│       ├── cd.yaml             # Continuous Deployment of infrastructure
│       └── cd_dag.yaml         # Continuous Deployment (CD) for Airflow DAGs
│
├── bootstrap_scripts/          # Helper shell scripts for local install and startup
│
├── orchestration/
Folder/File Primary Function Engineering Rationale
bootstrap_scripts/ Automated Airflow Host Setup Automation: Custom bash scripts are executed by the EC2 User Data. They automatically install Docker/Compose, configure Airflow environment variables, and launch the containerized HA cluster on boot — ensuring the system is self-healing and
Workflow File Purpose Key Actions and Expertise Demonstrated
cd.yaml / ci.yaml Continuous Integration (CI) Gatekeeping and Quality Control: Runs terraform validate, executes terraform plan (for peer review), performs Python unit tests (tests/), and runs linti
Component Service Used Resilience and Control Rationale
Orchestration Compute Multiple Airflow EC2 Instances Control. I deployed 2+ EC2 instances across different Availability Zones (AZs) running Airflow components (Scheduler, Workers) via Docker Compose. This ensures I maintain full control over the runtime environment and necessary libraries.
Metadata Database Amazon RDS (Po