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    Hybrid Multi-Cloud: AWS & Hetzner via Terraform

    The Challenge — The Paradox

    The client needed an enterprise-grade environment for a complex B2B subscription platform. The requirements were strict: corporate-level security and 100% availability. However, running everything on high-end enterprise providers would drain the development budget. Manual configuration was not an option due to the risk of "human error" and configuration drift.

    The Solution — Hybrid & Immutable

    We designed a hybrid ecosystem managed by Infrastructure as Code (IaC). Instead of manual clicks, the entire interaction between AWS and Hetzner is defined in Terraform.

    Architecture Overview

    # Hybrid Multi-Cloud Infrastructure ├── AWS (Production / Staging) │ ├── EKS Clusters (high-availability) │ ├── RDS (managed PostgreSQL) │ ├── IAM (fine-grained access control) │ └── Zero-downtime deployments │ ├── Hetzner Cloud (Development) │ ├── Budget-friendly dev/test nodes │ ├── Internal tooling servers │ └── GitLab Self-Hosted Instance │ └── Automated Google Drive offsite backups │ ├── Terraform (IaC Layer) │ ├── Multi-provider state management │ ├── Environment parity: dev → staging → prod │ └── Drift detection & auto-remediation │ └── Monitoring Stack ├── Grafana Dashboards ├── Prometheus Metrics └── Instant Slack Alerts

    Key Features

    AWS (Production/Staging): High-availability clusters (EKS/RDS) to ensure zero downtime for corporate clients. Hetzner (Development): Budget-friendly nodes for internal testing and tools to keep the budget under control. DevOps Hub: A self-hosted GitLab instance on Hetzner with automated Google Drive offsite backups for code safety. Proactive Monitoring: Grafana + Prometheus stack with instant Slack alerts — we know about issues before the client does.

    Business Results

    • Zero-Touch Reliability: Automated deployment eliminated 100% of human-related configuration errors.
    • Cost Efficiency: The hybrid approach saved roughly 30–40% in monthly infrastructure costs without sacrificing production stability.
    • Ready to Scale: The platform is documented and codified, ready to scale from 10 to 10,000 users in minutes.

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