DevOps is not hiring someone with that job title, and it is not installing Kubernetes. It is making a production release boring: automated, reversible, and with nobody holding their breath.
Every change goes through build, automated tests and analysis before it can reach production. One-button deployment with immediate rollback if something fails. GitHub Actions, GitLab CI or Azure DevOps, depending on where your code lives.
Servers, networks and permissions defined in Terraform and reviewed like any other change. No more servers nobody knows how were configured and nobody dares switch off.
The application packaged into images that run the same on a laptop, in staging and in production. Kubernetes only when the scale justifies it: for most companies it is complexity paid for and not used.
Metrics, centralised logs and traces to answer what is happening without logging into a server. Alerts on symptoms the business cares about, not on every CPU spike.
Credentials out of the code and out of Git history, with rotation and per-environment permissions. Who can deploy to production, defined and auditable.
A workflow your team can follow without a fifty-page manual, with versioning, changelogs and deployments traceable back to the commit that caused them.
We measure what reaching production costs today: how long from code-ready to live, how many manual steps exist, and how often a deployment fails. Without that baseline, improvement cannot be demonstrated.
First we remove the manual steps on the path to production, because that is where the risk sits. A reproducible deployment changes the operation even if nothing else does yet.
Infrastructure moves into code and staging is brought in line with production. This is where the entire "works on my machine" category of failure disappears.
Dashboards, alerts and runbooks, plus training so the system is yours. The goal is that you do not need us in order to deploy.
Almost certainly not. Kubernetes solves problems of scale and of large teams, and in exchange adds considerable complexity that has to be operated. For most mid-sized companies, containers on a couple of well-configured servers cover the case and cost far less to maintain. If you genuinely need it, we will tell you.
No. All of this works on AWS, Azure, Google Cloud, a VPS or your own servers. The practices are the same; only the specific tools change.
No. The work runs in parallel, piece by piece, starting with deployment. The team keeps shipping throughout.
Automated deployment is usually in place within weeks, and it is the change that is felt immediately. Full infrastructure as code and observability take longer and are tackled by priority.
It is documented, in your repositories, with your team trained. Ongoing support is available if you want it, but nothing is designed to make you depend on us.
Custom web applications and websites that are fast and maintainable.
Android and iOS apps connected to your systems.
ERP implementation, customisation and integration with your other systems.
AWS, Azure and Google Cloud: architecture, migration and operations.
Business email, domains, DNS and hosting — all in your name.
Tell us what you need and we will tell you honestly whether we can help, how long it would take and what it would cost. No strings attached.