SaaS Migration Services With Zero-Downtime

The assessment takes 2–3 weeks and fixes the answer for your case. Typical full migrations run 8–20 weeks depending on system count, data volume, and integration complexity — delivered in stages, so value lands before the final cutover.

The target is zero. Staged cutovers with a parallel run mean the old system keeps serving until the new one has proven itself. Where a maintenance window is physically unavoidable — some database switchovers — it is agreed, scheduled, and rehearsed in advance.

Verification is built into the process: row counts, checksums, and reconciliation reports on every migrated store, plus a dual-write window where old and new systems both receive changes. The legacy system is never retired until the numbers reconcile and you sign off.

Phased is our default. Systems move in order of risk and value — lowest-risk first to prove the pipeline, highest-value early where it pays. Each phase is independently useful, so a paused migration still leaves you better off than when it started.

Every stage has a rollback plan that has been rehearsed in staging, not just written down. If a cutover wave misbehaves, traffic returns to the legacy system while the issue is fixed — that is what the parallel-run architecture is for.

You do. Cloud accounts, code, infrastructure-as-code, and data are in your name from day one. After hypercare you can hand it to your team with our documentation, or keep us on a support retainer.

Published bands: assessment from $750 (2–3 weeks), full migration $5,000–$15,000 (8–20 weeks staged), post-migration support from $500/month. The assessment converts these bands into a fixed written quote for your specific systems.

Yes — migration is often the moment to add them, because clean cloud data is the prerequisite AI projects usually lack. Many clients pair a migration with a scoped AI proof of concept once the data lands on the new platform.

Database migration covers schema mapping and translation, data-integrity checks before transfer, and dual-write windows that let the old and new databases run side by side until the new one is proven. We move from legacy SQL, on-prem, or file-based stores onto PostgreSQL or cloud databases (AWS RDS, Aurora, Azure SQL, Cloud SQL) with row-count and checksum verification signed off before the old system is retired.

We start with an audit of the on-prem systems, integrations, and data stores, then produce a migration plan with a tested rollback path per stage. Applications are re-platformed onto AWS, Azure, or GCP with security, backup, and cost controls built in — new system runs in parallel against live data before any cutover, and users move in waves rather than a single switch.

It depends on where the pain is. Lift-and-shift is fastest when the legacy stack works but the hosting doesn't — you move the runtime, not the code. Re-platforming (containers, managed databases, CI/CD) suits systems that will keep evolving but not being torn apart. Re-architecting to multi-tenant SaaS or microservices is right when the shape of the code is what's blocking scale or productization. The assessment tells you which mix fits your systems.

Yes — all three major clouds. We work with AWS (EC2, ECS, EKS, RDS, Aurora), Azure (App Service, AKS, Azure SQL), and GCP (Compute Engine, GKE, Cloud SQL) and pick the target based on your existing licensing, team skills, and workload profile. Multi-cloud and hybrid setups are also in scope when compliance or vendor-lock-in avoidance requires it.

Re-hosting (lift-and-shift) moves an application to new infrastructure with no changes at all — same runtime, same architecture, just a different host. Replatforming makes targeted changes so the app can run on a modern managed cloud platform: replacing a self-managed database with Amazon RDS, containerising the application for Kubernetes, or upgrading the runtime from Java EE to Spring Boot without redesigning core business logic. Re-architecting rebuilds the application from the ground up. Replatforming occupies the productive middle ground: more benefit than rehosting, far less risk and cost than a full re-architecture.

Replatform when the application's core business logic is sound and the problems are at the infrastructure or runtime layer — the runtime is approaching end-of-life (Java EE, .NET Framework, PHP 7), self-managed infrastructure carries high operational overhead, or the business needs cloud-native scaling and managed services without the 12–18 month timeline of a rebuild. Rebuild only when the application has fundamental design problems replatforming cannot fix — a data model that will not scale, tightly coupled logic that blocks independent deployment. A typical replatforming engagement runs six to eighteen weeks per application tier, delivers containerisation, managed database migration, and CI/CD as part of the same engagement, and often eliminates 20–40% of infrastructure cost against a three-year TCO baseline.