A monolith isn't a mistake. It's how most successful products start. The problem comes later: one slow module forces you to scale the whole app, a small change risks the entire deploy, and onboarding a new engineer takes weeks.
We run monolith-to-microservices migrations the safe way. We carve out the highest-pressure pieces first, rebuild them as cloud-native Golang services, and route traffic gradually with the strangler-fig pattern. Your old system keeps running until the new one is proven, so there's no downtime and no all-or-nothing gamble.
The payoff is concrete: 5–10x performance on the services that matter, up to 50% lower infrastructure cost, and a system your team can deploy and scale independently. Most migrations land in 3–6 months depending on scope.
What you actually get.
Performance on the services we migrate, measured before and after.
Lower infrastructure cost by scaling only what needs scaling.
Gradual cutover with the strangler pattern, no risky big-bang release.
How we deliver it.
Map the monolith
We chart dependencies and find the seams: the modules that hurt most and migrate cleanest first.
Carve out the first service
We extract a high-pressure piece into a Golang service, running alongside the monolith with a clean API.
Route traffic gradually
Using the strangler-fig pattern, we shift traffic service by service. The old system stays live until the new one is proven.
Decommission & document
Once a path is fully migrated, we retire the old code and hand you docs, dashboards, and a system you can own.
The stack we use.
Proven tools, chosen for the outcome — not the resume.
Real builds, real results.
See how this work has played out for teams we've shipped for.
Questions teams ask before booking.
No. Big-bang rewrites are how migrations fail. We use the strangler-fig pattern: extract one service at a time, run it next to the monolith, and shift traffic gradually. You get value early and never bet the whole system on one release.
Primarily Java, .NET, and PHP monoliths moving to cloud-native Golang microservices. The approach is the same regardless of source language: we migrate behavior and data, not syntax.
The old system keeps serving traffic while the new service runs in parallel. We route a small percentage of traffic to the new service first, verify it, then ramp up. If anything looks wrong, we roll back instantly.
Most migrations run 3–6 months depending on the size of the monolith and how many services we extract. Because we cut over service by service, you see value early instead of waiting for one big release. We scope the exact timeline on the discovery call.
We migrate data incrementally and keep sources in sync during the transition, so the monolith and new services stay consistent until the cutover is complete.