Platforms We Build and Integrate On
SoftwareMile builds custom software on the cloud, enterprise and web platforms most businesses already run — Azure, Google Cloud, SAP, Oracle, React and REST APIs — and integrates them so systems that were never designed to meet can work together.
Our work covers platform architecture, application development, systems integration, migration and long-term support for organizations across the United States and internationally.
Cloud and Infrastructure
Enterprise Systems
Web, API and Developer Platforms
Specialist Platforms
Platform work outside general business software is handled by our specialist practices: Niagara Framework and building-automation platforms at SoftwarePile, AI platforms and models at Software Depo, and security platforms at BulletproofSoft. See all specialist practices.
Platform Choice Matters Less Than the Comparison Charts Suggest
For most business applications, the major clouds will all run a web application, a database, a queue and a scheduled job competently. What decides cost and reliability is the architecture on top: how the data is modeled, how many round trips the application makes, whether deployment is repeatable, and whether anyone is watching the bill. Teams that pick a platform first and design second usually pay for that order.
The choice does matter at the edges, and the edges are where evaluation time is well spent: identity, data residency, the specific managed services you intend to lean on, traffic that has to cross a boundary, and what your existing agreements already cover.
When Does Azure Fit, and When Does Google Cloud?
Azure tends to be the straightforward answer when the organization already runs Microsoft 365, because identity, single sign-on and billing land in one place and your administrators already know the tooling. Google Cloud tends to fit when the workload is data-heavy or container-first and the team is comfortable with Kubernetes and a warehouse-centered analytics stack.
If both fit, choose the one your operations team can support at two in the morning. A platform nobody in-house understands becomes a dependency on whoever built it, and that dependency outlasts the project. Our cloud services work covers either, and the running of it should be sustainable without us.
What Happens to the System of Record
It usually stays. An ERP such as SAP or Oracle is rarely the thing that should move first, and projects that try to route around it tend to create a second version of the truth. The productive work sits at the boundary: read models that let people see order or inventory data without needing a seat license, scheduled extracts that stop someone rekeying figures into a spreadsheet, and documented interfaces so a newer application can ask the system of record a question instead of keeping its own copy of the answer.
When Should You Not Move a Platform?
If an application is stable, changes rarely, and runs on hosting that is still supported, migrating it spends money to arrive in the same place with a different invoice. The honest triggers for moving are hardware or an operating system going out of support, a data center commitment ending, capacity that cannot flex when you need it to, or a business change the current platform genuinely cannot absorb. Our cloud migration work starts by establishing which of those applies.
Do You Need More Than One Platform?
Running in two clouds means securing, monitoring, patching and hiring for both. It is justified when a regulator, a customer contract or an acquisition puts a workload somewhere specific. It is rarely justified by the idea of avoiding lock-in, because portability is usually cheaper to achieve through unglamorous architecture choices than through operating everything twice.
What the Platform Should Look Like After Handover
The test of a platform build is whether your team can change it without us. That means infrastructure defined as code and kept in a repository you control, environments that can be rebuilt from that definition, setup written down clearly enough to follow without a guide, and monitoring configured on the things that actually break, with alerts that reach someone able to act on them. Where you want ongoing help, cloud support and maintenance should be a deliberate arrangement with a defined scope.
Where the Architecture Decisions Actually Land
Three choices tend to set the cost profile for years: whether state lives in a managed service or in something your team runs, whether the application can scale down when nobody is using it, and how much data crosses a network boundary on a normal day. None of those are platform-specific, and all of them are easier to change in the first month than the second year.