From Railway to Production-Grade AWS: How Loop8 Migrated Prodway's SowFlow and FormPilot in Four Weeks

Prodway.ai had launched SowFlow and FormPilot on a Platform-as-a-Service (Railway) and quickly outgrew it. As customer adoption accelerated, the team encountered scalability ceilings, unpredictable performance under load, limited control over the runtime environment, and gaps in the security, observability, and compliance posture that growing SMB customers were beginning to ask for. Prodway needed to migrate to a platform engineered for the long term — without rewriting the application, without losing the velocity Railway had given them, and without taking on heavy operational overhead the small engineering team was not staffed to absorb.

Loop8 LLC, an AWS Consulting Partner, designed and delivered a production-grade migration of Prodway's SowFlow and FormPilot services from Railway to AWS in a four-week engagement. The target architecture uses Amazon ECS with AWS Fargate for serverless container compute, Application Load Balancer for path-based traffic routing, Amazon RDS for PostgreSQL in a Multi-AZ configuration for the transactional data tier, and Amazon Bedrock with Anthropic Claude models for the AI capabilities behind SowFlow's SOW drafting and FormPilot's form intelligence. The result: Prodway operates on production-grade AWS infrastructure that scales horizontally with customer demand, eliminates manual recovery routines that periodic Railway incidents had required, and provides the audit-ready foundation Prodway needs to grow into larger SMB accounts.

Prodway's SowFlow and FormPilot services had been deployed on Railway since launch. Railway's developer experience let the team move quickly in the early stages, but as customer adoption grew, the engineering team began hitting practical scalability limits — particularly during bursts of AI inference traffic driven by SowFlow's SOW-generation workflows and FormPilot's Chrome-extension form-completion calls. The team had limited control over the underlying runtime and constrained options for horizontal scaling under load.

Railway provided a basic monitoring layer, but Prodway needed deeper observability — request-level metrics, container-level CPU and memory data, Application Load Balancer latency and error breakdowns, and centralized log aggregation across both services — to find and fix the right things. As customer profiles grew larger, procurement conversations increasingly surfaced security and compliance expectations: customer-managed encryption, perimeter protection at the edge, formal audit logging, OIDC-federated CI/CD with no long-lived credentials, and a documented disaster-recovery posture. Railway is purpose-built for a different stage of company. Prodway needed an infrastructure foundation aligned with where its customer profile was heading.

Prodway selected Loop8 LLC as their migration partner for the combination of SMB focus, right-sized engineering discipline, and full-stack delivery as a single engagement. Loop8's pre-built modular Terraform patterns, sensible service defaults, and clear separation between minimum-viable and over-engineered meant the migration did not become a multi-quarter platform-engineering exercise.

Loop8 delivered the migration as a single integrated piece of work — network and security baseline, container infrastructure, data-tier migration, CI/CD wiring, observability, runbooks, and cutover orchestration — instead of stitching together multiple vendors. The approach focused on moving Prodway's existing application to AWS with the minimum code change required, preserving the velocity the team had built on Railway. The application code did not need to be refactored to fit AWS-specific patterns; the AWS platform was configured to fit the application.

Loop8 designed and delivered a production-grade AWS environment that runs Prodway's SowFlow and FormPilot services with serverless container compute, a Multi-AZ data tier, managed AI inference, and a defense-in-depth security baseline.

Edge and Perimeter

Cloudflare continues to serve the Prodway.ai marketing site and provides edge DNS for the platform. Production API traffic to api.prodway.ai is proxied to the AWS-hosted Application Load Balancer, where AWS WAF applies a managed rule set covering common web exploits, rate limiting, and bot mitigation. AWS Certificate Manager terminates TLS at the load balancer.

Container Compute and Routing

Prodway's two FastAPI services — SowFlow and FormPilot — run on Amazon ECS with AWS Fargate. ECS removes the need to manage cluster nodes, and Fargate's serverless model lets each service scale independently with traffic. The Application Load Balancer terminates incoming requests and uses path-based routing to direct traffic to the appropriate service. Health checks run continuously; unhealthy tasks are replaced automatically.

AI Capabilities on Amazon Bedrock

Amazon Bedrock provides managed access to Anthropic Claude models, used by both SowFlow (to draft Statements of Work from structured customer inputs and Slack-native conversations) and FormPilot (to map saved profile data into form fields encountered across the open web). Bedrock's pay-per-token pricing aligns inference cost directly with customer usage, and the managed model endpoint removes the need to operate GPU infrastructure.

Data Tier

Amazon RDS for PostgreSQL in a Multi-AZ configuration hosts the transactional data (customer accounts, SOW records, billing state, FormPilot profiles). Multi-AZ provides synchronous standby replication for durability and automatic failover. Automated backups and point-in-time recovery cover the data-loss window. Amazon ElastiCache for Redis sits alongside RDS for session storage and hot-path caching. Amazon S3 stores generated documents, customer assets, and exports.

Identity, Secrets, and CI/CD

Application secrets — third-party API tokens for Slack, Stripe, DocuSign; database credentials; Bedrock invocation roles — are stored in AWS Secrets Manager and injected into ECS task definitions at runtime. No secrets live in source code, container images, or the CI/CD pipeline. AWS Identity and Access Management governs every access path with narrowly scoped task execution and task roles per service. GitHub Actions assumes an AWS role via OpenID Connect federation — no static AWS access keys exist anywhere in the repository.

Observability and Operations

Amazon CloudWatch ingests application logs from both services, captures container-level CPU and memory metrics, and stores Application Load Balancer latency and error breakdowns. Alarms route through Amazon SNS to the Prodway engineering on-call rotation. AWS Systems Manager provides session-managed operational access when human intervention is required. AWS CloudTrail captures the AWS API activity audit trail for compliance and forensic review.

Zero-Downtime Cutover

The migration was orchestrated with zero customer-visible downtime. Loop8 stood up the AWS environment in parallel with the running Railway deployment, replicated the data tier and validated parity, then performed a DNS-level cutover at the Cloudflare layer once smoke tests on the AWS side passed. The Railway environment remained available as a fallback during the initial post-cutover window.

Infrastructure as Code

The entire AWS environment is defined in Terraform with reusable modules covering the network baseline, container infrastructure, data tier, security primitives, observability, and CI/CD wiring. Changes flow through the same review process as Prodway's application code — pull requests, peer review, planned changes, then apply through the CI/CD pipeline.