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Five things we do, and they are not separate departments.

Software engineering and cloud work usually come from two different vendors. Here they come from the same engineers, which changes what gets built and what it costs to run.

Software Engineering

Product work, from an empty repository to a running service. Discovery, architecture, build, testing and release — with the hosting, the pipeline and the cost profile designed in from the first sprint rather than bolted on before launch.

  • Web applications
  • SaaS platforms
  • APIs and backends
  • Internal tools
  • System integrations
  • Legacy modernization
  • Testing and quality

In practiceA SaaS product with its own repo, pipeline, staging environment and a bill you can predict before it arrives.

Cloud & AWS

The infrastructure half. Network design, compute sizing, managed databases, access control, observability and spend. Reviewed against how your application actually behaves rather than against a reference diagram.

  • Cloud infrastructure and compute
  • Storage and databases
  • Serverless and application services
  • Containers
  • Security and access
  • Monitoring and operations
  • Cost optimization
  • Migration to AWS

In practiceA VPC you can explain to an auditor, an alert that fires before your customers notice, and a bill with nothing on it you cannot account for.

DevOps & Platform

The delivery machinery. Build and deploy pipelines, environments that match each other, infrastructure expressed as reviewable code, and enough observability to diagnose a problem without guessing.

  • CI/CD pipelines
  • Infrastructure as code
  • Containerization
  • Environments
  • Release engineering
  • Observability
  • Developer experience

In practiceA merged pull request reaches production on its own, and rolling it back takes one command and under a minute.

Data & Integrations

Moving and reshaping data between systems, and connecting your application to the ones you did not write. Ingestion, transformation, reporting, payments, partner APIs, and the queues and events that hold it together.

  • Data pipelines
  • Reporting layers
  • Payment integrations
  • Third-party integrations
  • Event-driven architecture
  • Data migration

In practiceA nightly pipeline that lands clean data, tells you when it does not, and never silently produces a half-empty report.

Managed Support

What happens after launch. Watching the environment, responding when something breaks, keeping dependencies and patches current, and continuing to improve the product in small increments rather than annual projects.

  • Monitoring and alerting
  • Incident response
  • Maintenance and patching
  • Iterative improvement
  • Cost and capacity review
  • Technical advice on call

In practiceAn alarm fires at 3am, someone who knows the system picks it up, and you read about it in the morning.

Where the two halves meet

The problems that sit on the seam.

These are the situations where splitting the application work from the infrastructure work costs you weeks. They are also the ordinary week in most products.

  1. The feature that changes the bill

    A reporting screen that seemed cheap turns into a full table scan on every page load. Whether that is a query problem, an index problem or an instance-size problem is one conversation, not a ticket bounced between two vendors.

  2. The outage nobody owns

    Requests start timing out. The application team sees healthy pods, the infrastructure team sees healthy nodes, and the connection pool quietly exhausted twenty minutes ago. Someone has to be looking at both halves at once.

  3. The migration that needs code changes

    An application that writes to local disk cannot move to more than one instance until that changes. Fixing it is engineering work discovered during infrastructure work, and it stalls whenever those are separate contracts.

Not sure which of these you need?

Describe the problem instead. Working out which discipline it belongs to is the part we are good at, and it costs you nothing to ask.