Assessment & plan
Inventory of applications, data and dependencies, with a migration approach per workload and a realistic timeline.
Cloud Migration · Low-Downtime Cutover
Cloud Migration Services from Assessment to Cutover
MYC moves servers, applications and databases to the cloud, or between clouds, with a plan that is rehearsed before it runs. Every migration has measured cutover steps and a rollback path, and data is validated before traffic moves.
Why migrations fail
What goes wrong in cloud migrations, and how we avoid it
Common failure modes
- A long write freeze because the data copy is done offline.
- A big-bang cutover with no tested way back.
- Lift-and-shift of old problems: same sizing, same single points of failure.
- Data mismatches found after go-live, because nobody compared source and target.
- Sync scripts that change data types, for example JSON converting database decimals.
How MYC runs a migration
- Full load plus change data capture so the source stays online.
- Rehearsal on real data and a rollback plan before cutover night.
- A target architecture designed for the cloud, not copied from the old one.
- A validation gate: counts, checksums and metadata must match before traffic moves.
- Formats preserved end to end, such as BSON for MongoDB.
What we deliver
Cloud migration services we provide
Target architecture
Network, security, compute and data design for the destination, built as code.
Wave planning
Workloads grouped into waves by dependency and risk, each with its own cutover plan.
Rehearsal & validation
Dry runs on real data that measure duration and verify results before production.
Cutover & rollback
Short, scripted cutover windows with a tested path back.
Database migration
MongoDB, PostgreSQL and MySQL moves, including MongoDB version upgrades in one hop.
MongoDB migrationContainerization
Moving VM-based applications onto Kubernetes when it makes sense.
KubernetesPost-migration tuning
Performance, capacity and cost tuning in the weeks after cutover.
Platforms
Platforms and tools we migrate with
Huawei Cloud
Huawei Cloud CCE
Kubernetes
Terraform
Kafka / Redpanda
MongoDB
Percona Server for MongoDB
Huawei DDS
PostgreSQL
MySQL
GitLab CI/CD
NGINX
How it works
Our cloud migration process
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01
Assess
Inventory workloads, data sizes, write rates and dependencies, and flag what changes on the target.
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02
Design
Target architecture and the migration approach for each workload.
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03
Plan waves
Group workloads by dependency and risk, with owners and success criteria.
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04
Rehearse
Dry run on real data to measure timing and validate results.
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05
Cut over
Freeze, drain, validate and switch traffic in a short window, with rollback ready.
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06
Stabilize
Monitor, tune and hand over, with the old environment kept until sign-off.
Low-downtime techniques
How we keep downtime short
Change data capture
- Capture changes before the initial copy starts
- Apply them continuously until cutover
- Used in our MongoDB migrations
Staged sync & dual run
- Keep source and target in sync for days or weeks
- Test the target with real traffic patterns
- Decide cutover on evidence
Controlled traffic shift
- DNS and load balancer changes prepared in advance
- Canary traffic where the application allows
- Rollback rehearsed, not improvised
Proof
Migrations we have delivered
Case study
100M documents from Huawei DDS to Percona
Full load plus CDC over Kafka, with data and metadata validation before cutover.
Engineering
MongoDB Atlas to self-managed Kubernetes
Production MongoDB moved from a managed service to an operator-managed cluster.
Project
Kubernetes migration platform
Legacy infrastructure modernized to a cloud-native platform with progressive cutover.
FAQ
Cloud migration questions, answered
How much downtime does a cloud migration need?
It depends on the workload. With change data capture and staged sync, the remaining downtime is the cutover window itself, which we measure during rehearsal before agreeing it with you.
How long does a migration take?
The assessment gives a realistic timeline per wave. Rehearsals measure the actual duration of data copies and cutovers before production dates are fixed.
Which platforms can you migrate from and to?
On-premise and VMs, other clouds and Huawei Cloud, VMs to Kubernetes, and databases including MongoDB, PostgreSQL and MySQL.
How do you verify the data?
A validation gate compares counts, checksums and metadata between source and target. Cutover only goes ahead when it passes.
What if something goes wrong during cutover?
Each cutover has a rehearsed rollback path, and the source environment is kept until you sign off.
Get Started
Request a cloud migration assessment
Tell us what you want to move, where it runs today and your downtime tolerance.