Deployments that are boring, in the best way.
Releases should not depend on one person running commands by hand. I set up container platforms, GitOps delivery and monitoring so shipping is routine and problems show up early. I hold Red Hat certifications in OpenShift (EX280 and EX180), and this website deploys through the same kind of pipeline I would set up for you.
First step A written review of your current setup with a prioritised list, or a scoped setup project.
What this looks like
- Your application containerised and deployed from Git, with rolling releases and one-step rollbacks.
- A review of an existing Kubernetes or OpenShift environment: access, resources, TLS, network policies and the release path.
- An access review that answers who can do what, and why, including grants that outlive the people they were for.
- Prometheus metrics, Grafana dashboards as code and alerts that mean something.
A good fit if
- Deployments are manual, slow or nerve-racking.
- You are moving an application to containers, Kubernetes or OpenShift.
- Nobody is quite sure who has access to what in the cluster.
- You find out about outages from your users.
Probably not a fit if
- You need Terraform or AWS work. I have none to show yet, and I would rather tell you now.
- A single well-configured server would do. You may not need Kubernetes at all, and I will say so.
How I approach it
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Everything in Git
Images pinned to a commit and applied by Argo CD, so every change is reviewable and reversible.
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Hardened by default
Non-root containers, least-privilege access, resource limits and TLS everywhere.
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Visible from day one
Metrics, dashboards as code and alerts that reach a person.
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Documented trade-offs
You get the reasoning, not just the YAML, so your team can maintain it.
Evidence
Questions
Where have you run Kubernetes?
On my own cluster and lab: this website and a live real-time game deploy through it with Argo CD. I am certified in OpenShift, and I built Lineage for OpenShift access analysis. I have not yet run a client’s production cluster, and I will show you exactly what I have run.
Kubernetes or something simpler?
It depends on what you run. Sometimes a single server or a managed platform is the better answer.