DevOps engineers for calm releases on AWS and DigitalOcean.
Our DevOps engineers built the full DevOps for FeelEat on DigitalOcean, with Kubernetes and Docker, and for LeadTrack AI on AWS, with Docker. Everything is infrastructure as code, with monitoring from day one.
We read your infrastructure before we touch it.
A free 4-hour workshop
We start with a free 4-hour workshop on your infrastructure as it really is: accounts, pipelines, monitoring and failure modes. A written scope and a quote follow within 3 working days. Where the estate is still unclear, a short paid audit maps it and lists the risks first. Nothing changes until we understand it.
A fixed quote for the work
Cost and timeline are agreed before work starts. We price the outcome, so the engagement cannot drift into an open-ended retainer.
Everything as code, changed by review
We import existing resources into Terraform and create new ones there, so everything can be reviewed and rebuilt. After that, every change goes through a pull request.
Observability and on-call readiness
Dashboards, alerts and runbooks are part of what we deliver. Every release is measured and can be rolled back, and the engineers who built the pipeline stay on it after launch.
Pipelines, SaaS infrastructure, streaming and data.
DevOps & cloud engineering
CI/CD pipelines, infrastructure as code, observability and on-call readiness on AWS and DigitalOcean — the core practice.
DevOps & cloudMulti-tenant SaaS infrastructure
Tenant isolation and careful rollouts, the kind of multi-tenant platform we run for LeadTrack AI on AWS and Docker.
SaaS app developmentStreaming & spike-load delivery
Multi-CDN failover, near-stateless session start-up and load tests beyond the target, for audiences that all arrive in the same minute.
Audio & video streamingData platform operations
Pipelines, warehousing and the monitoring around them — operational data infrastructure treated with the same as-code discipline as the application stack.
Data engineering & analyticsTwo set-ups, two clouds.
FeelEat — DigitalOcean, Kubernetes and Docker
We built the full DevOps for FeelEat: services packaged in Docker containers and run on Kubernetes, on DigitalOcean.
LeadTrack AI — AWS and Docker
For LeadTrack AI we built the DevOps on AWS, with its services in Docker containers.
Questions teams ask before hiring DevOps engineers
Put it in a brief. A senior engineer reads it and replies within one business day.
What does a DevOps engagement with CODT Technologies cover?
CI/CD pipelines, infrastructure as code, monitoring and on-call readiness. The toolchain is AWS, DigitalOcean, Terraform, Docker, Kubernetes or ECS, GitHub Actions, Grafana, Prometheus, CloudFront, Sentry and Vault. The named proof is on this page: FeelEat on DigitalOcean with Kubernetes and Docker, and LeadTrack AI on AWS with Docker.
Can you take over infrastructure we already run?
Yes, that is our most common engagement. We audit, import everything into Terraform and stabilise it before changing anything. There is no big-bang migration. Once that is done, infrastructure changes go through review.
Do we need Kubernetes?
Probably not. Most teams under 50 engineers are better served by managed platforms — Vercel, Fly, Railway, ECS, Cloud Run. We adopt Kubernetes when its operational complexity is justified by genuine scale or compliance requirements, and we will show you the reasoning either way.
Whose cloud accounts does the infrastructure live in?
Yours. Everything is defined as code in your accounts, on mainstream, well-documented technology with no proprietary frameworks. Owning your infrastructure means you can leave us, and we build it so you really can.
How do you prepare a system for launch-day traffic?
First we decide what must survive, for example a CDN failing in the middle of a keynote. Then we make the expensive paths nearly stateless and load-test past the target before the audience arrives.
Do your DevOps engineers work alongside our developers?
Yes, often. Our engineers join your stand-ups, repos and on-call rotation. Runbooks, dashboards and reviewed Terraform code stay with your team, so there is no separate handover at the end.
How fast can DevOps engineers start?
A senior engineer replies within one business day. A free 4-hour workshop on your accounts, pipelines and monitoring comes next, and within 3 working days you get a written scope and a quote. Clearly defined work is quoted at a fixed price straight away; if the estate is still unclear, a short paid infrastructure audit comes first, ending in a written map and a risk list, and is credited in full against the work. The build team starts 4–5 business days after you sign the fixed quote.
Have a problem worth
solving well?
Tell us what you are building and the deadline it has to meet. You will get a clear read on whether we fit and what the work would take.