Cloud Solutions & DevOps

DevOps work is judged by what stops happening. Deploys stop being events, environments stop drifting apart, and you stop finding out about outages from a customer. That is the whole job.

AWS / Azure / GCPCI/CD PipelinesContainersInfrastructure as Code

How we approach it

01

Make deployment repeatable first

Before scaling anything, deploying should be one command that behaves identically every time. Most infrastructure pain traces back to this being untrue.

02

Describe infrastructure as code

Servers configured by hand cannot be rebuilt or reviewed. Written down, they can be recreated and their history read.

03

Monitor what users feel

CPU graphs rarely tell you the checkout is broken. Alerts track the paths that matter and stay quiet otherwise.

04

Right-size honestly

Cloud bills grow through provisioning for imagined scale. We size for observed load and revisit it.

Common questions

Which cloud provider should we use?

For most small and mid-size businesses it matters far less than the internet suggests. AWS, Azure and GCP all do the job. The better questions are which one your team can operate and where your data is allowed to live.

What does CI/CD actually give us?

Every change is built and tested automatically before it can reach production, and releasing becomes a routine action rather than an event. The practical effect is that small fixes ship the same day instead of waiting for a batch.

Can you work with our existing infrastructure?

Yes, and it is usually the better path. Rebuilding working infrastructure is expensive and risky. We would rather add pipelines, monitoring and documentation to what runs today.

Often paired with

Talk it through

Tell us what you're trying to do and we'll tell you honestly whether this is the right way to do it.