Cloud consulting and development on AWS for business applications

Cloud consulting services built around the application

Cloud consulting often starts from the infrastructure and works back to the software. We start from the application: who uses it, how the data grows, which parts must never be down and which can wait. The architecture follows from those answers, and so does the bill.

Because the same team designs the infrastructure and builds the software, decisions about queues, caching, storage and scaling are made where they matter: in the code and in the environment at the same time.

Cloud application development on AWS

New applications are designed for the cloud from the first release: stateless services that can run on more than one machine, background jobs and message queues for work that should not block a user, managed databases with tested backups and storage for files and documents.

The Chicago Boat Company reservation platform is an example: it runs on AWS and processes background email through Amazon SQS, while the booking and staff workflows kept evolving over the years.

Cloud migration consulting without a big-bang cutover

A migration is a series of small moves. We inventory the applications, data and integrations, choose what to move first, and plan each step with validation and a way back. Where an application is too old to move as it is, we modernize the parts that block it; see app modernization.

Data moves are rehearsed before the real cutover, and the old environment stays available until the new one has proven itself with real traffic.

Database consulting services

Most business applications live or die by their database. We design schemas around the business rules, find and fix slow queries, plan indexes and archiving as data grows, and move data between systems with checks that every record arrived. The systems we build mostly run on PostgreSQL, and we also work with MySQL and cloud-managed databases.

Kubernetes consulting services and microservices consulting

Microservices and Kubernetes solve real problems, but they also add operating work. We split an application into services where parts have different load, release cycles or failure modes. In the CNC monitoring system, data processing, live updates and availability checks run as separate services because each has its own load pattern.

For many business applications, a well-structured single application on managed containers is faster to build and cheaper to run. We recommend Kubernetes when the number of services and the team behind them justify it.

DevOps on AWS

Infrastructure is described in code, so environments can be recreated and reviewed. Deployments run through automated pipelines with tests, and releases can be rolled back. Monitoring and alerts cover the application as well as the servers, and cost reviews are part of the routine rather than a surprise at the end of the month.

We document how everything is set up and who is responsible for what, so operation can stay with us or move to your team. For connecting the application to the rest of your systems, see API development and system integration.