Move Java systems to the cloud with a clear cost and rollout plan
Compare target environments, understand the operating costs and migrate in manageable phases. After a scoping call you get a written ballpark within a week; the first iteration settles the target and the cutover plan.
Results from systems we have built and improved
Our experience combines cloud platform development with measured infrastructure improvements. We use that engineering background to assess workload, capacity and operating costs before a move.
- 80%
- lower infrastructure cost after hotel availability search moved from database queries to an in-memory data grid.Hotel metasearch case study
- 1B / hour
- financial transactions processed by FastPost, the cloud accounting platform developed for Legerity.FastPost case study
Stratoflow was a great partner, challenging as well as supporting our customer projects for the best outcome. They have a great pool of talent within the business - all very capable technologists, as well as being business-savvy and suitable for consultancy engagements.
- For
- Java applications moving from on-premise or existing hosting.
- First iteration
- Settles the target environment, costs and cutover plan.
- Implementation
- Typically 6 to 12 weeks per scoped phase.
- Pricing
- Time and materials against a written ballpark.
Plan the application, its data and its operating costs
Workload and dependencies
Map services, integrations, data volumes and traffic. Measure resource use before choosing instance sizes and storage.
Target design and costs
Compare suitable AWS, Azure or existing cloud options. Model three-year operating costs, with workload assumptions, data transfer, support and capacity choices stated.
Data and cutover
Plan database, cache and file migration alongside the application. Agree validation, maintenance windows and recovery procedures around connected systems.
Operations and access
Define connectivity, identity, secrets, monitoring and ownership. Choose managed services where their operating benefits justify the cost.
A decision first, then the move
The first iteration is part of the phase, not a separate engagement. The move itself starts once you approve its scope, acceptance criteria and schedule.
First iteration: a decision and a plan
Receive an inventory, target design options, cost estimates, risks and migration order, with the plan for the rest of the phase. The findings remain yours to use.
Implementation: a working migration
Deliver the agreed infrastructure and application changes, validation results and operating documentation. Review actual resource use and costs after rollout against the first iteration's assumptions.
From workload review to a controlled rollout
Scope the move
Discuss deadlines, current hosting, access and the business reason for moving. A written ballpark follows within a week.
Compare the options
Measure the workload and dependencies. Review target designs, running costs and whether application changes are needed before migration.
Migrate an agreed scope
Prepare infrastructure, rehearse data movement where applicable and validate the application against agreed acceptance criteria.
Roll out and review
Use the agreed cutover and recovery plan. Hand over operational guidance and schedule cost reviews, typically at 30 and 90 days.
Planning the engagement
How is migration priced?
Time and materials against the written ballpark you receive after the scoping call. The first iteration confirms the scope; if its findings change the ballpark, we say so before the work continues. Changes to agreed scope are discussed and priced before additional work begins. Cloud-provider charges are separate and depend on actual usage.
Which cloud should we choose?
We compare the options around your workload, existing contracts, security requirements and operating skills. AWS and Azure are common choices; we can also consider Google Cloud or existing hosting where relevant. Staying with the current environment may be the right decision.
Can we move first and improve the architecture later?
Yes, where deadlines or application constraints support that approach. We compare the interim running cost and follow-up work with making selected changes before the move.
Will there be downtime?
Some changes need a maintenance window. The first iteration identifies continuity requirements, data consistency constraints and recovery options. We agree the cutover approach before the move.
How long does a migration take?
Typically 6 to 12 weeks for a scoped phase, starting with an iteration that settles the target. The total depends on the applications, data volumes, integrations and release windows. The first iteration establishes the initial sequence and estimate.
Related services
Plan your cloud migration
Discuss the systems, deadlines and operating constraints that shape your move.