Ready to leave Heroku?

We migrate your application from Heroku to AWS, Docker, or self-hosted infrastructure, with better performance and lower costs.

Still on Heroku?

Why teams migrate now

Heroku costs keep climbing

Dyno limitations

Cold starts affecting users

Need more infrastructure control

Our migration approach

01

Audit

We map your Heroku dynos, add-ons, databases, and environment variables to design the optimal AWS architecture for your application.

02

Plan

We design your target infrastructure with Docker containers, managed databases, CI/CD pipelines, and monitoring, optimized for cost and performance.

03

Migrate

We deploy to AWS in parallel, migrate your database with zero data loss, validate everything, and cut over DNS with zero downtime.

Migration

What's included

AWS Architecture Design

Custom AWS infrastructure designed for your application workload, scale, and budget.

Docker Containerization

Containerize your application with Docker for consistent, reproducible deployments anywhere.

Database Migration

Migrate Heroku Postgres, Redis, or other data stores to AWS managed services with full data integrity.

CI/CD Setup

Automated build, test, and deployment pipelines replacing Heroku Git-based deploys.

Monitoring & Alerting

Production monitoring, log aggregation, and alerting to replace Heroku add-ons.

Cost Optimization

Right-sized infrastructure with reserved instances and auto-scaling to minimize your AWS bill.

FAQ

FAQ

Most Heroku to AWS migrations take 4-8 weeks depending on the number of dynos, add-ons, and database size. We scope each project individually and provide a clear timeline upfront.
No. We run your application on both Heroku and AWS simultaneously during the transition, then cut over DNS with zero downtime once everything is validated.
Most teams see 40-60% cost savings after migrating to AWS. We design your infrastructure for cost efficiency from day one, and provide a cost comparison before migration begins.
Absolutely. We use proven database migration tools with full data validation, checksums, and parallel environments. Every record is verified before the cutover.

Still have questions?

Get in Touch

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