Cloud migration from legacy and on-prem

What we deliver

A migration that doesn't tip the business over.

Discovery, parallel operation, data validation and an exit plan for every step.

• Discovery and workload mapping

  We start with 1–2 weeks reviewing your current setup: dependency graph, data ownership, integrations, operations team, compliance requirements. You leave discovery with a concrete migration plan, not a PowerPoint.

• Phased migration with parallel operation

  We move one workload at a time and run it in parallel with the old system as long as verification needs it. Traffic shifts gradually via DNS or an API gateway — no big-bang cutover weekends.

• Data migration with validation

  Data moves with scripts that both migrate and validate (record counts, checksums, sample comparisons). We run delta syncs while old and new coexist so you never lose data created in the middle of migration.

• Re-platforming where it makes sense

  Some workloads shouldn't just be moved — they should be re-platformed to managed services. A self-hosted PostgreSQL becomes RDS or Supabase. A cron server becomes Lambda or Vercel Cron. We assess per workload whether the effort pays off.

• Security and access from the start

  The identity platform is designed before the first workload moves. IAM roles, secret management (AWS Secrets Manager, Doppler), network segmentation and audit logging are in place before we put the first container in production.

• Clear exit strategy for every step

  Each migration phase has a defined rollback plan before we begin. If something doesn't work in production, we point DNS back and take another round. Moving needs to be safe — otherwise it never gets done.

FAQ

What people usually ask.

• How long does a typical migration take?

  Depends entirely on the number of workloads, their dependencies and your tolerance for parallel operation. A single monolithic application can be moved in 4–8 weeks. A portfolio of 10–20 services with deep internal dependencies typically takes 4–9 months spread across multiple phases. We give a realistic estimate after discovery — not before.

• Do we have to move everything or can we go gradually?

  Gradually. We almost never recommend moving everything at once. Phased migration lets you learn the new platform while the old one still runs, catch surprises early, and roll back if something doesn't work — without the entire business standing still.

• What about legacy systems no one understands anymore?

  That's often the hardest part — and the one we spend the most time on in discovery. If source code exists, we read it. If not, we document the system's actual behaviour through observation: which API calls it makes, which data it reads/writes, what the edge cases are. Only when we truly understand it do we decide whether it should be lift-and-shifted, rewritten or retired.

• Can we combine multiple clouds?

  Yes, and it's often the right answer. We've set up architectures with Cloudflare edge in front of a Vercel frontend in front of an AWS backend, or with Azure for AD-integrated services and AWS for the rest. Multi-cloud is complexity — but it's often the easiest path when a single vendor doesn't cover all requirements.

• How do you handle downtime during cutover?

  With proper preparation, there's typically no noticeable downtime. We set up the new platform in parallel, sync data continuously, and switch traffic via DNS or an API gateway once the new one is verified. For workloads where a short maintenance window is acceptable, we plan it well in advance and communicate it to end users.