Monolith to microservices migration

Decompose your monolith without breaking the business

Find the seams. Extract services one at a time. Parity proof at every step, starting at 1M lines of code.

What the monolith costs you

Three operational drags every team eventually hits. They get worse as you grow.

Every deploy is a coordination event

One change, all teams blocked. Release cadence stays slow no matter how many engineers you hire.

Blast radius is your whole stack

One bug in one module takes down the entire system. Your SREs and support team spend their week absorbing it.

More teams doesn't mean more velocity

Your org grows, your delivery rate doesn't. Teams step on each other. Code ownership is fuzzy. And the last microservices attempt left scar tissue.

How we do it

The hardest monoliths resist the usual playbook

Most migrations stall on the same thing: nobody fully knows where the natural seams are, or what depends on what. Years of business logic, shared state, hidden coupling, built by teams that have moved on. Static analysis alone misses intent. AI alone hallucinates. Consultants alone don't scale. We run all three.

Layer 01

Deterministic analysis

Our proprietary engine maps the structure of your monolith. Dependencies, entry points, data flows, dead code, shared state, candidate service boundaries. The factual base layer every extraction decision sits on.

Service boundaries
acme.platformmonolith · 1.4M LOC
├─ billing/SEAM · 92% isolated
├─ checkout/SEAM · 87% isolated
├─ catalog/SEAM · 78% isolated
├─ shared/Authused by 12
├─ shared/Sessionhidden state
└─ legacy/Reportsdead code
3 extraction candidates · 47 shared dependencies
Layer 02

AI for scale

Anchored in static analysis, our AI agents apply verified extraction patterns. In-process calls to API contracts, shared tables to owned data, monolith handlers to service endpoints. Each pattern validated once, then scaled.

Service extraction
billing/ → service/billing
- // monolith: in-process call
- BillingService.charge(orderId, amount);
// service: HTTP contract
+ POST /v1/billing/charges
+ { orderId, amount, idempotencyKey }
+ → 201 { chargeId, status }
Pattern: in-process call → idempotent HTTP · Applied 184x
Layer 03

SMEs and AI experts

Senior engineers validate the boundaries, surface the hidden coupling, and catch the "don't split these" cases auto-translators miss. The reason your last attempt stalled, addressed up front.

Boundary review
Senior platform engineer
shared/Session · 12 writers

Session state is written by billing, checkout, and catalog in non-deterministic order. Cannot split into per-service state. Migrating to a shared session service with optimistic locking. Locked.

Senior platform engineer
billing/ ↔ catalog inventory

Billing updates catalog inventory inside the same transaction. Extracting billing alone breaks the rollback path. Sequencing with eventual consistency and a compensating action. Parity test added.

Engagement model

Decomposition without the all-in bet

Four stages. Fixed price per stage. Commit one step at a time, with validation evidence at every one.

01

Assessment

Snapshot of your monolith. Module inventory, candidate seam analysis, shared-state map, third-party coupling audit. Scoped plan, risks, and success criteria.

What you receive
  • Codebase snapshot and seam analysis
  • Scoped plan
  • Risk register
  • Locked success criteria
02

Specification

Define the target service architecture. Extract the business logic, document critical flows, lock service contracts and parity test specs.

What you receive
  • Target service architecture
  • Extracted business logic
  • Service contracts
  • Parity test specifications
03

Modernization

Extract services one at a time. Refactor the monolith to delegate. Parity validated per extraction. The monolith keeps running until the last service moves out.

What you receive
  • Extracted services on target stack
  • Refactored monolith and delegation layer
  • API contracts and deployment scaffolding
  • Parity validation evidence per service
04

Enablement

Keep extracting services independently. Parity test suite, decomposition playbooks, training, and knowledge base, handed off to your team.

What you receive
  • Parity test suite
  • Decomposition playbooks
  • Team training
  • Queryable knowledge base
What you get

A workspace, not a stack of files

Every deliverable lives in one place. Yours to keep, queryable by your tools.

Delivered change

  • Extracted services on target stack
  • Refactored monolith and delegation layer
  • API contracts and deployment scaffolding
  • Container-ready where applicable

System understanding

  • Architecture and dependency maps
  • Coupling and shared-state analysis
  • Dead-code analysis
  • Extracted business logic
  • Queryable by MCP

Enablement assets

  • Parity test suite
  • Decomposition playbooks
  • Team training
  • Queryable knowledge base

A decomposition that actually ships

Get in touch with our team. We'll talk through your monolith, your candidate boundaries, and the right path off it.

Get in touch