🚀 Full Analytics Stack Migration
AWS to Hetzner Cloud Infrastructure Optimization
Led the end-to-end migration of a production analytics stack from AWS to Hetzner Cloud, redesigning ETL pipelines, database infrastructure, and BI systems — reducing cloud costs by approximately 80%.
Stack: AWS → Hetzner Cloud · ETL Migration · PostgreSQL · Server Deployment · BI Migration · Infrastructure Optimization
📌 Project Overview
A client was operating their full analytics stack on AWS, incurring high recurring cloud costs for ETL, storage, compute, and database services.
The objective was to:
- Reduce infrastructure expenses
- Maintain reporting reliability
- Migrate production workloads safely
- Ensure zero data loss
- Minimize reporting downtime
I owned and executed the complete migration.
🧩 Business Challenge
The AWS-based stack included:
- ETL pipelines
- Production databases
- Reporting dashboards
- Scheduled workflows
- Automated triggers
The infrastructure was stable but significantly over-provisioned and cost-heavy for the client’s scale.
Migration risks included:
- Data corruption
- Downtime
- Reporting delays
- Performance degradation
- Workflow breakage
🏗 Migration Strategy
1️⃣ Infrastructure Planning
- Assessed AWS service dependencies
- Designed equivalent architecture on Hetzner
- Calculated compute, storage, and memory requirements
- Planned phased migration to minimize downtime
2️⃣ ETL Pipeline Migration
- Recreated ETL workflows in the new environment
- Migrated transformation logic
- Validated data consistency post-migration
- Reconfigured scheduling and automation triggers
3️⃣ Database Migration
- Migrated production databases
- Ensured schema consistency
- Optimized queries for new infrastructure
- Conducted integrity checks
4️⃣ Dashboard & Reporting Migration
- Reconnected BI dashboards to new database endpoints
- Verified KPI accuracy
- Conducted parallel validation between AWS and Hetzner environments
5️⃣ Performance & Monitoring Setup
- Implemented logging and monitoring
- Optimized server configuration
- Tuned database performance
- Ensured stable production readiness
📊 Results
✔ ~80% reduction in monthly cloud infrastructure cost
✔ Zero data loss during migration
✔ Minimal downtime during cutover
✔ Maintained reporting performance
✔ Improved infrastructure efficiency
💼 Business Impact
This migration significantly improved the client’s cost efficiency while preserving reporting reliability.
The optimized infrastructure:
Strengthened infrastructure ownership
Reduced operational overhead
Improved cost-to-revenue ratio
Created a scalable and controlled hosting environment
