Move to Cloud Native
“We can't ship features fast enough. Everything's coupled together”
Your application is a monolith. Every change risks breaking something else. Releases take weeks because deployments need the whole team to coordinate. Your engineers spend more time managing releases than writing code.
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Independent teams shipping independently. Changes deploy in minutes, not weeks.
Microservices architecture on AWS with clear service boundaries. Each team owns their domain, deploys on their schedule, and scales independently. Event-driven, loosely coupled, and built to evolve.
Your application started as a clean, simple codebase. Over time, features were added, shortcuts were taken, and now every deployment is a coordination exercise. A change to the checkout flow requires retesting the user dashboard. A database migration blocks three teams. Your release cadence is measured in weeks because nobody trusts a partial deploy.
The monolith isn’t broken. It’s just outgrown the way your team needs to work.
Why monoliths resist change
The problem isn’t that your engineers aren’t capable. It’s that the architecture forces every change through the same bottleneck. Shared databases, tightly coupled modules, and a single deployment pipeline mean that independent work is structurally impossible.
Teams try to work in parallel, but they’re constantly stepping on each other. Merge conflicts, broken integration tests, and deployment queues slow everything down. The more people you hire, the worse the coordination overhead gets.
This is why “just refactor it” never works as a weekend project. The coupling runs deeper than the code. It’s in the data model, the deployment process, and the way teams have learnt to work around each other.
How we decompose
We don’t rewrite your application from scratch. We extract services incrementally using the strangler fig pattern, so the monolith keeps running while the new architecture takes shape around it.
Boundaries before code. Domain-driven design workshops with your team to map business capabilities to service boundaries. This is the step most teams skip, and it’s why most microservices projects create distributed monoliths instead.
One service at a time. Each extraction follows a consistent pattern: define the boundary, build the service, route traffic, validate, then decommission the old code. If anything goes wrong, traffic routes back to the monolith.
Your team builds it with us. Paired engineering means your developers learn distributed systems patterns on their own codebase. By the time we step back, they’re confident operating and extending the architecture independently.
What's usually in the way
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Monolith too tangled to decompose safely
Years of shared state, circular dependencies, and undocumented coupling mean you can't extract a service without breaking three others. Every refactoring attempt stalls.
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No service boundaries defined
Nobody has mapped which parts of the application are distinct business domains. Without boundaries, decomposition is guesswork, and guesswork creates distributed monoliths.
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Team lacks microservices experience
Your engineers know the monolith inside out, but distributed systems are a different discipline. Service discovery, eventual consistency, and failure isolation aren't things you learn from a tutorial.
What we resolve
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Strangler fig pattern. Decompose incrementally
Extract services one at a time while the monolith continues running. Each extraction is tested, validated, and rolled back if needed. No big-bang rewrite.
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Domain-driven design to define boundaries
We map your business domains to service boundaries before writing a line of code. Clear ownership, clear contracts, clear data boundaries. The architecture reflects how your business actually works.
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Immersion days and paired engineering
Your team learns by building alongside ours. Not classroom training. Real decomposition work on your codebase, with patterns and practices they'll use long after we've gone.
Ready to take the next step?
No obligation, just a clear conversation about where you are and what's possible.