Cloud Solutions
Keep releases, monitoring and maintenance organised as your application evolves. We build delivery pipelines, review infrastructure and plan support around the system your team depends on.
The starting point
Deployment is manual, so it is different every time and nobody is confident about rolling back.
Nothing is monitored, so the first alert is a phone call and the clock started an hour ago.
Knowledge left with the people, because it was never written into a pipeline, a test or a runbook.
What the work includes
We assess the application, environments and current release process before defining the support scope. Build checks, deployment steps, monitoring and runbooks make operational responsibilities clear. Coverage and response windows follow the agreed needs of the system.
Explore the delivery processBuild, test and deploy on Azure DevOps or Jenkins, so releasing is a routine event rather than a scheduled risk.
Unit and integration tests running on every change, which is what makes frequent small releases safer than rare large ones.
Environments defined in Terraform, so staging matches production and a rebuild is repeatable rather than remembered.
Uptime, error rates and performance watched, with alerts routed to a person rather than to a dashboard nobody has open.
An agreed time to first response, handled by the team that built the system rather than a separate desk learning it from outside.
Planned rather than deferred, because the cost of a framework upgrade grows the longer it is left.
Record how the application is built, tested and deployed, including its environments and credentials. A pipeline should expose failed checks before a change reaches users. A rollback plan needs to account for data changes as well as the application version.
Cloud services covers the infrastructure decisions behind those releases. Monitoring should make application and connection failures visible to the people responsible for support.
An external API, library or model service can change independently of your application. Review provider changes, usage costs and unexpected behaviour where those dependencies exist. Test updates against representative tasks before release.
Support arrangements need coverage hours, response expectations and a clear distinction between defects and new requests. Our guide to support after go-live explains the decisions to settle before the handover.
We walk your current workflow with the people who run it and record where work stalls, duplicates or waits.
A fixed price and a dated plan, issued after discovery. Payment runs against milestones.
Review the proposed workflow, interfaces and data requirements before implementation. The design work follows the scope of the project.
Implement the agreed scope in short cycles, review the changes and test the behaviour with representative records and exceptions.
Test the required connections, confirm acceptance with your team and release according to the agreed rollout plan.
The team that built it handles updates, integrations and support calls after go-live.
Projects here typically run between USD 7,500 and USD 15,000 or above, depending on scope. We quote a fixed price after discovery and bill against milestones.
Fits when: Scope is clear and agreed after discovery
Billing: Milestone payments against a dated plan
Fits when: Scope will evolve, and you want capacity reserved
Billing: Monthly, per named engineer
Fits when: The system is live and needs changes and cover
Billing: Monthly, with an agreed response window
Yes, and it is common. We start by reading the codebase and the deployment process, then produce an honest assessment of what needs stabilising first. Taking on a system without that read is how support contracts turn into rewrites nobody budgeted for.
A response window is agreed in the retainer and sized to what the system does. A production system that stops the shop floor needs a tighter commitment than an internal reporting tool, and pricing follows that rather than a single tier for everything.
It can be included where the system needs it. We ask what happens if the system is unavailable at two in the morning, because the honest answer for many internal systems is that it waits until morning.
Yes, and we set it up expecting that. Where a client has in-house developers, they push to the same pipeline with the same tests. The pipeline being ours to operate is not a dependency we try to create.
We assess the patch, its urgency and the affected dependencies, then test and release it through the agreed change process. Emergency response and coverage are defined in the support arrangement.
Skipping a type of software maintenance doesn't remove the work, it converts it into a costlier type later. What each one actually costs to skip.
Legacy modernization means changing a working system so that it can keep changing, and the right route depends on evidence you can collect from the system itself.
Software development outsourcing companies send a pitch first, and the contract that follows tells you far more about the work than the pitch did.
Tell us how the application is hosted, how changes reach users and where support breaks down. We can assess the pipeline, monitoring and coverage required.