Cloud
Package an app once and run it anywhere: the standard way to run modern software at scale.
A container packages an application with everything it needs to run; Docker made the idea popular. Kubernetes runs many containers across a cluster of machines: it restarts what fails, adds capacity under load and rolls out new versions without downtime.
It is powerful but complex. Most enterprises use their cloud provider's managed version and add a platform team that gives developers a paved road: templates, pipelines and guardrails.
Each app and its dependencies in one portable image.
A control plane plus worker machines that run the containers.
Pipelines build images; tools like Argo CD deploy whatever is in Git.
Logs, metrics and traces, often with Prometheus and Grafana.
Typical ranges, not quotes. Scope, data and team size move them most.
The largest public cloud, with the broadest catalogue of services.
Google's cloud, strongest in data, analytics, AI and Kubernetes.
The workhorse of enterprise back ends: banks, insurers, telecoms and retailers run on it.
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