Planned, parallel, and reversible migrations — from legacy monoliths to modern architectures, with a clear rollback strategy at every step.
Every migration is different. Here's where we have hands-on experience.
Strangler-fig pattern, domain decomposition, gradual service extraction. Your monolith keeps running while we carve out services one by one.
Schema migration, data type mapping, query rewriting, dual-write phase, and zero-downtime cutover with data validation at each step.
Rewrite critical services in Go for performance and concurrency. Keep PHP running in parallel during transition — no big-bang rewrites.
AWS, GCP, or Azure migration with containerization (Docker/K8s), infrastructure as code, and seamless DNS cutover.
Every migration follows a disciplined, phased approach. Nothing goes live without validation and a tested rollback plan.
Full inventory of the current system: data volumes, dependencies, integrations, and risk areas.
Detailed phase-by-phase plan with timelines, acceptance criteria, and communication plan for stakeholders.
Run old and new systems side by side. Dual-write, shadow mode, or traffic shadowing — depending on risk tolerance.
A tested rollback plan exists before any production change. If something goes wrong, we revert in minutes, not hours.
Without dual-write and validation, records get lost or corrupted during cutover.
Big-bang migrations without a parallel phase often require hours of maintenance window.
Without a tested rollback plan, teams are forced to push forward even when problems appear.
Undocumented integrations discovered in production cause cascading failures.
Database migration or moving to a new platform is one of the riskiest types of IT projects. The most common mistakes: transferring data without validation (leads to hidden data corruption), switching traffic all at once (causes hours or days of downtime), having no rollback plan (forces you to push forward even when problems emerge).
We use a parallel-run methodology: the new system launches alongside the old one in dual-write mode (writes go to both systems simultaneously). We compare results, validate data, and only after confirming parity do we switch traffic. The old system remains active for weeks as a safety net.
Our case studies: eCommerce platform migration from PHP monolith to Go microservices (18 critical SQL queries optimised, API response from 2.4s to 320ms), MySQL to PostgreSQL for a 50k+ user SaaS (zero downtime, zero data loss), on-prem to AWS with containerisation (Docker/K8s, full IaC with Terraform).
Migration cost depends on data volume, architecture complexity and acceptable downtime window. Small database (under 10 GB) — from $2,000 (2–4 weeks). Complex live system with zero downtime — from $8,000 (1–3 months). Free consultation includes risk assessment and rough cost estimate.
Under 10 GB, basic validation, 2–4 weeks.
Dual-write, full validation, parallel run. 4–8 weeks.
Zero downtime, rollback plan, phased cutover. 1–3 months.
A small database (under 10 GB) — 2–4 weeks including testing. Large databases or live systems requiring zero downtime — 1–3 months. Exact timelines depend on an audit of the current system.
Yes. We use dual-write (parallel writes) and validate data at every step. Before any cutover we do row-by-row comparison. And there is always a tested rollback plan.
Yes. We use parallel run: the new system launches alongside the old one, traffic is gradually shifted. The maximum acceptable downtime is agreed and documented at the start.
Go delivers 5–10× lower memory consumption and better concurrency for I/O-heavy services. Migration makes sense if PHP services are a performance or hosting-cost bottleneck.
Strangler Fig is a gradual migration pattern. Instead of rewriting the entire monolith at once, we extract services one by one. The old monolith is progressively replaced — minimal risk, value delivered quickly.
Let's assess your current system and design a migration path that minimizes risk and maximizes speed.
Discuss Your Migration