Service — Modernization
A staged route off a system that has stopped moving.
Rewrites fail on the cutover, not on the code. We move capability across in slices, keep both paths running until each slice proves itself, and never ask a business to bet a weekend on a big-bang switch.
01 / 3
Strangler migration
Big-bang rewrites fail in public. Systems modernization must be incremental, boring, and safe.
Stable interfaces placed in front of legacy systems, decomposing monoliths into modern services slice by slice.
- Domain isolation using reverse proxies and backwards-compatible API facades
- Capabilities moved behind stable boundaries one independently testable slice at a time
- Every incremental milestone independently deployable and reversible
Slice 01: Auth & User Identity
Reverse proxy routes `/api/v1/auth` traffic to the new TypeScript edge service while the legacy monolith continues handling untransformed routes.
02 / 3
Live reconciliation
Correctness should be proven with production traffic comparisons, not argued in committee.
Old and new systems running against production traffic simultaneously, proving correctness before traffic shifts.
- Shadow execution comparing legacy and modernized outputs on live requests
- Automated difference detection surfacing edge cases and undocumented legacy quirks
- Zero-downtime data migration with bi-directional synchronization and rollback guarantees
Shadow Execution (Dark Launch)
Production requests are duplicated at the API gateway: the legacy system responds to the real user, while the new system executes in shadow mode.
03 / 3
Performance recovery
Migrating an inefficient architecture without resolving bottlenecks merely relocates the problem.
Bottleneck elimination, query optimization, and dead code excision to restore rapid team velocity.
- Deep profiling of hot code paths, expensive queries, and database locks
- Legacy technical debt excised rather than copied forward to new services
- Measurable throughput and latency gains verified against historical baselines
N+1 Query & Table Lock Excision
Eliminating catastrophic N+1 query loops, missing composite indexes, and long-running table locks that ground legacy applications to a halt.
Engineering Principles
Three things we hold to.
How we approach every engagement — the non-negotiables that keep systems maintainable, compliant, and buildable.
No cutover weekend
Each slice goes live on its own. Risk arrives in portions small enough to reverse.
Keep the operational context
The undocumented logic in a legacy system is usually there for a reason. We find the reason first.
Leave it changeable
The point is not a new system. It is a system your engineers can change with confidence.
Engagement Outcomes
Production deliverables you own from day one.
Every engagement produces tangible codebases, automated pipelines, and operational specs your internal team actually runs.
Migration Proxy Architecture
Intelligent reverse-proxy routing requests between legacy services and new microservices with zero downtime.
- Route-by-route traffic shifting
- Canary percentage rollout gates
- Instant zero-latency rollback switch
Dual-Write & Data Sync Layer
Bi-directional data reconciliation pipeline ensuring zero data loss during multi-phase database migrations.
- Event-driven change data capture
- Automated reconciliation audits
- Idempotent event replay pipelines
Characterization Test Suite
Comprehensive integration test coverage capturing legacy behaviors before refactoring or replacement begins.
- Shadow traffic comparison tests
- Golden master API assertions
- Continuous behavioral diff gating
Decommissioning & Training
Step-by-step sunset strategy for legacy dependencies paired with deep technical training for your engineering team.
- Legacy component retirement checklist
- Modern stack training curriculum
- Long-term architecture documentation
Tell us what you are trying to build.
Bring the constraint that worries you most. That is usually the fastest way to work out whether this is the right service for the job.