O.E.G. IT Solutions

Services

Engagements are scoped around a result: a design you can build, a system you can run, or a direction a team can follow.

Architecture

Enterprise and solution architecture is the judgment about how the pieces fit: what should be shared, what should stay separate, and which step comes first.

  • Solution design before a team commits to a stack
  • Enterprise guidance when several systems have to work as one
  • A sequence from the current state to something that holds in production

What you get. A direction a team can follow, with the tradeoffs named out loud.

Data

The work starts with the data. That means the warehouse, the operational databases, and the model that keeps them from drifting apart.

  • Data warehousing and the models that feed it
  • Data design for systems that have to stay coherent as they grow
  • OLTP and OLAP, including the point where one has to serve the other
  • SQL Server, PostgreSQL, and Snowflake

What you get. A design for the warehouse, the transactional systems, and the path between them.

Web development

Web applications that sit on top of that data: the pages people use, the forms they fill in, and the services that connect a browser to a system of record.

  • Application pages shaped around a real task
  • Forms and the checks that keep bad input out
  • The small services between the browser and the database

What you get. A web application people can use, tied cleanly to the data behind it.

AWS

The cloud work follows the system, not the other way around. Storage, delivery, and the surrounding services should be obvious enough that the next person can operate them.

  • Static sites on S3 and CloudFront, including a custom domain
  • The surrounding AWS services a workload actually needs
  • A clear account of what is running and why

What you get. An AWS setup that matches the system and can be explained without a diagram legend.

Migration

A move between platforms is an architecture problem as much as a technical one. The source, the target, and the cutover have to be designed before the data starts moving.

  • Platform moves across SQL Server, PostgreSQL, and Snowflake
  • Workloads moving onto AWS
  • A cutover that keeps the current system available until the new one is trusted

What you get. A migration you can explain, rehearse, and finish.