Cloud Engineering
The foundations your systems run on — set up so releasing updates is routine and recovery has actually been rehearsed.
The operational problem
Releases happen at night, by one person, from a document that is out of date.
The environment that broke is not the environment anyone can reproduce, because it was configured by hand two years ago and the person who did it has left.
You have a backup. Nobody has restored from it.
What we build here
The actual classes of system.
- Cloud architecture and migration
- Infrastructure as code
- Build and release pipelines
- Container platforms
- Environment and secret management
- Observability and alerting
- Disaster recovery, rehearsed
Our position
How we approach it
If it was configured by hand, it does not exist. Infrastructure is code, in the repository, reviewed like everything else — because the alternative is an environment whose true state is unknown, and unknown state is what turns a small incident into a long one.
We refuse to treat a backup as a recovery plan. A backup is a file. A recovery plan is a thing you have done, timed, and written down. Until someone has restored the system into a clean environment and watched it come up, the organization does not have a recovery capability, it has a hope.
We do not sell cloud as a destination. Some systems belong in Azure, some in AWS, some on a machine in a building because of where the data is allowed to live. Data custody, latency to the people using it, and who can legally hold it decide the architecture. Anyone who tells you the answer before asking those questions is selling you their answer.
Capabilities
What that means in practice.
- Azure
- Our primary cloud. Identity, app hosting, data, and AI services, with the governance and cost model set up before the bill arrives.
- AWS
- Where the workload, the region, or your existing estate makes it the right medium.
- DevOps
- The working practice around the code: environments, reviews, releases, and the ability to answer 'what is running in production right now'.
- CI/CD
- Automated build, test, and deploy. A release is a routine event, or the team learns to fear releasing and ships less often.
- Containers
- Docker and Kubernetes where the operational complexity buys something. We will tell you when it doesn't.
- Infrastructure
- Networking, identity, secrets, and access, defined as code and recoverable from the repository alone.
- Platform & Language
- .NET · Node.js
- Data
- PostgreSQL · Redis
- Cloud & Runtime
- Azure · AWS · Docker · Kubernetes · CI/CD
- Protocols & Integration
- OAuth 2.0
Where you’ve seen this
We have already built this, at depth.
These are our own platforms. They exist because the problem kept recurring — and they are the most detailed engineering we can show you without a client’s permission.
Is this the thing that cannot go wrong?
Tell us what you are building and what it costs when it fails. You will speak to an engineer, and we will tell you honestly whether we are the right people for it.