When AWS credits end, a startup has to fund both its cloud bill and the engineering work around it. Forte is an option for moving conventional application hosting into a managed platform with deployments, ingress, authentication, and diagnostics available together. Evaluating that option starts with your actual workload and the bill after credits.
Credit programs and account terms vary. Confirm the remaining balance, expiration date, eligible services, and any restrictions in your own agreement and billing console. Do not plan from a generic program summary.
Build a bill you can explain
Export at least three representative months and separate usage from one-time activity. Tag or group costs by production, staging, development, data, networking, observability, and build infrastructure.
Create one row for every material resource:
| Resource | Product dependency | Monthly cost after credits | Owner | Decision |
|---|---|---|---|---|
| API runtime | Customer requests | Keep / optimize / migrate | ||
| Database | Product records | Keep / optimize / migrate | ||
| Load balancer and gateway | Public API | Keep / optimize / migrate | ||
| Logs and metrics | Incident response | Keep / optimize / migrate | ||
| NAT and data transfer | Runtime dependencies | Keep / optimize / migrate | ||
| Build and registry | Releases | Keep / optimize / migrate |
Include commitments, support plans, marketplace products, domains, backups, snapshots, and dormant environments. A resource with a small bill may still be operationally critical; a large line may be a temporary migration or data-processing event.
Establish the steady-state baseline
Remove the credit offset and model the bill your payment method will receive. Identify usage that will continue, seasonal peaks, committed discounts, and resources that were created for experiments.
Compare equivalent service levels. An always-available API with backups and retained logs should not be compared with a development instance that sleeps and has no recovery target. Use the framework in Startup cloud total cost of ownership to keep provider costs and engineering time separate.
Decide workload by workload
Keep a workload on AWS when the architecture uses capabilities you need, the team can operate it, and its cost is justified. Optimize it when the platform fit is good but the configuration is wasteful. Consider migration when standard application infrastructure consumes more engineering attention than its differentiation warrants.
Useful optimization questions include:
- Are resources sized from measurements or old assumptions?
- Do unused environments, snapshots, addresses, or log groups remain billable?
- Are retention settings intentional?
- Does network traffic cross avoidable boundaries?
- Are commitments aligned with the workloads that will remain?
- Can the team reproduce a deployment and restore without the original owner?
Do not treat consolidation as an automatic saving. A managed platform may cost more for a specialized, heavily optimized, or unusually networked workload. Record the capability or staffing reason behind each decision.
Map a candidate API to Forte
Choose an API that can run as a standard HTTP container. Its repository and branch become a Forte Service source; its runtime configuration becomes Service variables and secrets; its health route becomes the deployment check. Forte provides managed ingress, HTTPS, deployment history, request metrics, and correlated logs around that Service.
You can evaluate hosting while keeping an existing reachable database and existing authentication, using the documented authentication exclusions where appropriate. Check network access and dependency compatibility before deploying. Identity and payment migration can follow separately, which lets the team evaluate Forte's release and debugging workflow before changing customer accounts or billing.
Compare the candidate's capacity, build frequency, and dependencies with the current bill. The practical gain to evaluate is fewer infrastructure procedures to own, alongside any cost difference the numbers demonstrate.
Budget for running both platforms
A safe migration usually runs old and new systems together. Add both runtime bills, data transfer where applicable, test traffic, DNS/certificate work, and engineering time. Decide how long the overlap may last and who can extend it.
Choose a pilot with real operational value and a manageable data dependency. A conventional stateless API is often easier to validate than the primary database or authentication system. Test it through the destination endpoint before changing customer traffic.
Define validation and rollback
Before cutover, write the signals that mean the destination is healthy: functional checks, error rate, latency, background work, payment events, data consistency, and support visibility. Write abort thresholds and the person authorized to reverse traffic.
For stateful systems, decide which side accepts writes and how changes are reconciled. DNS rollback alone cannot undo divergent database writes or duplicated events.
Leave time for the decision
Complete this review while credits still cover a meaningful overlap window. The goal is not to leave AWS before a date; it is to avoid discovering the real bill and the missing runbooks on the same morning.
Compare the operating models on Forte versus AWS or plan a Forte migration around a specific workload.