On-premise to cloud
Servers in an office or data center moved to AWS, Azure or Google Cloud. We handle the network links, identity and data transfer so users notice little beyond better performance.
We plan and execute migrations in waves, with rollback at every step — workloads assessed, dependencies mapped, and cutover rehearsed before anything touches production.
Moving to the cloud is rarely hard because of the cloud. It is hard because of everything nobody wrote down: the cron job on the old server that sends invoices, the hardcoded IP address in a partner integration, the database that is twice the size anyone expected. Migrations that go badly usually skipped the boring part, which is finding all of that before cutover night. Our cloud migration work puts most of the effort there. We assess every workload, map its dependencies and agree on rollback criteria before anything touches production.
Each application gets its own migration approach. Some are simply rehosted onto cloud servers. Others are replatformed onto managed databases and containers, and a few are worth refactoring while they move. We group them into waves, starting with lower-risk systems so the team builds confidence and the process gets tested. The target environment is built as code with security controls in place from the start. Data is replicated ahead of time, the old and new systems run side by side where it matters, and cutover is rehearsed until it is routine.
Softzee has moved web applications, databases and mobile backends to the cloud for businesses since 2020, from single on-premise servers to aging shared hosting setups. For companies in Saudi Arabia and the UAE, migration planning often includes in-country cloud regions and data residency requirements. For UK, US and Australian clients the focus tends to be cost and reliability. Either way, the aim is the same: a migration to AWS, Azure or Google Cloud with no surprise downtime, a clear cost picture afterward, and an environment your team can run.
Every application scored for migration approach, risk, and effort.
Cloud MigrationWave planning, cutover windows, and rollback criteria agreed up front.
Cloud MigrationTarget landing zone built as code, with security baked in.
Cloud MigrationReplication, dual-run, and verified cutover per wave.
Cloud MigrationPerformance, security, and cost checks after each wave.
Cloud MigrationDecommissioning, documentation, and handover to your team.
Servers in an office or data center moved to AWS, Azure or Google Cloud. We handle the network links, identity and data transfer so users notice little beyond better performance.
Websites and web apps that outgrew cheap shared hosting, often after a security incident or repeated slowdowns. We move them to a properly isolated, monitored and backed-up environment.
Moving databases to managed services such as Amazon RDS, Azure SQL or Cloud SQL, or between engines when licensing costs justify it. We replicate continuously and verify data before switching traffic.
Migrations between providers, usually driven by cost, regional availability or credits. Gulf companies often move to a provider with a local region to meet data residency rules.
Applications packaged into containers as part of the move, so they run consistently across environments and are ready for orchestration later. We only do this where the payoff justifies the extra work.
Larger efforts covering dozens of applications, with assessment, wave planning and a shared landing zone. We score each app for approach, risk and effort so the program has a realistic order and budget.
Every wave has written rollback criteria and a tested way back. If a cutover misbehaves, we revert calmly instead of debugging live at 3am.
We trace network traffic, scheduled jobs and integrations to discover what each system actually depends on. Most migration incidents come from a dependency nobody knew about.
We compare actual cloud spend against the estimate after each wave and right-size resources as we go. You do not reach the end of the project and discover a bill twice the forecast.
Migration is not finished while the old servers are still running and costing money. We decommission them, archive what needs keeping, and hand over documentation for the new setup.
Migrations planned around regulatory approvals, in-country data storage and zero tolerance for data loss, with dual-run periods to reconcile transactions.
Moving clinic and patient systems with encryption in transit, access logging and cutover windows planned around clinic hours.
Store and order system migrations scheduled away from peak sales, with replicated databases so no orders are lost during the switch.
Hybrid migrations where ERP and reporting move to the cloud while shop floor systems stay on site, connected through secure links.
File servers, practice management tools and client portals moved off aging office servers to managed, backed-up cloud services.
Migrations to sovereign or in-country cloud regions, with detailed documentation and staged cutovers that keep public services available.
Tell us what you are trying to build. You will get an honest take on scope, timeline and cost, usually within one business day.
Softzee built a scalable platform that makes it easy to discover venues, book wellness services, and check in across Pakistan’s growing fitness network.
Softzee designed a two-sided booking platform that makes it easy for passengers to schedule rides and for drivers to manage trips, updates, and completions in one seamless workflow.
Our team has expertise in 100+ technologies and programming languages, including the AI coding tools rewriting how software gets built.
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Migrating a small set of applications, such as a few web apps and their databases, typically costs between $10,000 and $40,000. Mid-sized migrations with multiple environments, integrations and data residency requirements often range from $40,000 to $150,000, and larger portfolio programs can go beyond that. The main cost drivers are the number of applications, data volume, how many apps need replatforming rather than a simple rehost, and the downtime you can tolerate. We start with an assessment that scores each workload, so the estimate is based on your actual systems.
A single application with its database can often be moved in two to six weeks, including testing and cutover. A portfolio of ten or more applications usually takes three to nine months, delivered in waves. Timelines depend on data size, integration complexity and how often you can schedule cutover windows. The assessment phase itself typically takes two to four weeks.
For most applications, downtime can be kept to a short planned window, often minutes, by replicating data in advance and switching traffic at the end. Some systems can move with no visible downtime using dual-run and gradual traffic shifting. Where downtime is unavoidable, we agree the window with you in advance and rehearse the cutover first. Rollback criteria are set before any production move.
Rehosting, often called lift and shift, moves an application to cloud servers with minimal changes. Replatforming makes targeted changes, such as moving to a managed database or containers, to gain cloud benefits without a rewrite. Refactoring redesigns the application to use cloud services more fully. Most migrations use a mix, and we recommend an approach per application based on cost, risk and long-term value.
Ask how they assess workloads and discover dependencies, and what their rollback process looks like. A reliable partner will push for a proper assessment before giving a fixed price. Check whether they build the target environment as code and whether they handle decommissioning. Independence from any single cloud provider helps ensure the advice fits your needs.
Data is encrypted in transit and at rest, and moves directly between your environments over secure connections. All cloud accounts are owned by you, with access granted to our engineers on a least-privilege basis and removed at the end. We verify data integrity with record counts and checksums after each transfer. For Saudi Arabia and the UAE, we keep data in approved in-country regions where required.
After each wave, we monitor performance, cost and errors and tune resources as needed. Once the final wave is complete, we decommission old systems, document the new environment and train your team. Many clients continue with a monthly support or DevOps retainer to run and improve the new environment.
Tell us about your idea and we'll map out the path forward — or grab a slot and talk it through with us directly.
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