Cloud development

Cloud Development & Integration Services

Applications built for cloud infrastructure, and existing systems moved onto it - with data residency, predictable cost and deployment you can repeat.

The problem

What usually brings people here

The server is a single point of failure

One machine, one disk, one location. Backups exist but nobody has tested restoring from them.

Deployment is a manual ritual

Releases happen at night because they are risky, involve steps somebody remembers, and cannot be reversed quickly.

Cloud spend is unexplained

You moved to the cloud and the bill grew without anyone being able to say which workload is responsible.

Capabilities

What we build

Cloud-native application development

Applications designed for managed services, horizontal scaling and infrastructure that can be recreated from code.

Migration from on-premise

Moving existing systems to AWS or Azure in stages, with rollback available at each one.

Infrastructure as code

Environments defined in version control so staging matches production and rebuilding is a command rather than a memory.

CI/CD pipelines

Automated build, test and deploy - so releasing is routine rather than an event.

Cost and capacity review

Right-sizing, reserved capacity and identifying what is actually driving the bill.

How we work

Our approach

01

Decide residency first

For Canadian businesses with privacy obligations, where data physically lives is a requirement, not a detail. Both AWS and Azure have Canadian regions and we default to them.

02

Lift, then improve

Migrating first and re-architecting second is usually cheaper and far less risky than trying to do both at once.

03

Everything in code

Infrastructure defined in version control. Environments built by hand drift, and drift is what causes the outage nobody can explain.

04

Make cost visible

Tagging and budget alerts from day one, so spend is attributable before it becomes a surprise.

Technology

What we build with

Chosen for fit and for how easily another team could pick the work up, not for novelty.

AWS Azure GCP Docker Kubernetes Terraform NGINX CI/CD PostgreSQL Redis Node.js Python
Outcomes

What changes afterwards

Failure stops being catastrophic

Redundancy and tested restores replace one machine and an untested backup.

Releases become routine

Automated pipelines mean deploying in the afternoon rather than at midnight.

Spend becomes explainable

Tagging and alerts attribute cost to workloads before the bill arrives.

Industries

Where this work lands

Questions

Frequently asked

It can, and for most Canadian businesses it should. AWS and Azure both operate Canadian regions, and we default to them unless you have a reason to choose otherwise. Where you have PIPEDA or provincial obligations we document where each dataset resides.

Not automatically. It is more reliable, more flexible and removes hardware refresh cycles, but a badly configured cloud environment can cost more than the server it replaced. We size for your actual load and set up cost alerting rather than assuming.

We keep applications portable by default - containers and standard databases rather than deep dependence on a single vendor's proprietary services. Some managed services are worth the trade-off, and when we recommend one we will say what it costs you in portability.

Usually. The approach is to run old and new in parallel, move a portion of traffic, verify, and continue. Cutover becomes a series of small reversible steps.

We can, or we can hand it to your team with the infrastructure code, documentation and runbooks. It is your account and your infrastructure either way.

Discuss your cloud development project

Describe the challenge in your own words. You will get a candid assessment of whether software is the right solution, what the work would involve, and a realistic cost range.