No dependency map
A service that looks standalone turns out to be called by three others. Discovering that after cutover is the most common cause of outages.
HiTechCloud moves business systems from physical servers or an older data center to the cloud in stages — each step with acceptance criteria, a rollback plan and a downtime window agreed in advance.
Rebuilding servers on a new platform is the easy part. The hard part is moving data that keeps changing, preserving integrations with outside systems, and guaranteeing you can get back to the old state if something goes wrong.
So we do not move everything in one night. The order follows dependency and criticality: low-risk systems go first to prove the process, and the core follows once everything is confirmed.
In most projects the old and new systems run in parallel for a period before full cutover. That cost buys you the ability to go back.
A service that looks standalone turns out to be called by three others. Discovering that after cutover is the most common cause of outages.
Software installed by hand over the years, tied to a specific path, license or IP address on the old server.
The data to be synced exceeds the available bandwidth and downtime window, forcing a mid-project rethink.
Once the move is done, monitoring, backups and permissions are never rebuilt on the new platform.
Listing every server, service, database and the links between them — including the integrations nobody documented.
Building on the new platform sized for real usage, rather than copying the old configuration across.
Syncing data in several passes, with the final pass moving only the delta to keep downtime to a minimum.
Running both systems in parallel, reconciling results and load testing before real traffic moves across.
Cutting over inside the agreed window, with a rollback script prepared and rehearsed.
Rebuilding monitoring, alerting, backups, permissions and system documentation on the new platform before the project closes.
Before every cutover, the rollback script is written and rehearsed in a test environment. If rollback does not work, the cutover is postponed.
Inventorying the systems, measuring real usage and mapping dependencies between components.
Designing the target architecture, choosing a migration approach per system and planning by stage.
Deploying the new infrastructure as code, with networking, security and links back to the old systems.
Moving low-risk systems first to validate the process and measure real timings.
A final sync and traffic cutover inside the agreed window, with a team standing by to roll back.
Close monitoring in the early period, configuration tuning and handover of operating documentation.
It depends on the system. For a web application with a moderate database, the window is usually minutes thanks to multi-pass syncing. For very large datasets or legacy apps that cannot sync, the time is calculated and agreed in the plan.
No. We deploy on AWS and other international platforms, or a hybrid of domestic and overseas infrastructure. The destination is chosen during consulting, on cost and legal constraints.
It can usually still be moved by preserving the runtime and migrating at the virtual machine level. We set out the limits and risks of that approach before starting.
The migration plan, downtime window and rollback script are written into the contract along with each party's responsibilities. During cutover, engineers stand by to roll back if acceptance criteria are not met.
Get in touch and HiTechCloud will survey your running infrastructure, map the dependencies and propose a phased migration.
























































































































































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