Pod YAML Generator

Kubernetes Pods are the smallest deployable unit in a cluster, and almost every workload — a single static web server, a multi-container sidecar pattern, or a batch job — starts life as a Pod manifest. Writing that manifest by hand means getting the apiVersion, kind, metadata and spec structure exactly right, then repeating the same nested blocks for containers, ports, environment variables and resource limits. The Pod YAML Generator removes the boilerplate: you fill in a form and it assembles a correct, ready-to-apply Pod YAML document in real time, entirely in your browser.

The form is organised the way a Pod spec actually is. At the top you set the pod-level metadata — name, namespace, restart policy and service account — and any labels you want attached. A label row can be added or removed as many times as you need, so a pod can carry app=web, tier=frontend and env=prod without you ever typing YAML. Below the metadata sits the containers section, which supports more than one container: add a second card for a sidecar, a logging agent, or an init-style helper, and each one gets its own image, pull policy, ports, environment and resources.

For each container you can declare one or more ports with a name, a numeric containerPort and a protocol (TCP, UDP or SCTP). Environment variables are added as name/value pairs and emitted as a proper env list. Resource management is first-class: separate fields let you set CPU and memory requests and limits, and the generator only writes a resources block when you have actually supplied values, keeping the manifest clean. You can also supply a command and arguments, which are split into the array form Kubernetes expects.

Everything you type is validated as you go. Pod and container names must be valid RFC 1123 names, ports must be integers in the 1 to 65535 range, and resource quantities must use Kubernetes suffixes such as 100m, 0.5 or 256Mi. Problems are reported in a clear message panel rather than producing broken YAML, and the preview only renders a complete document when the input is structurally sound. Because blocks are built dynamically from your input, an empty field simply disappears from the output instead of leaving a placeholder behind.

The generated manifest follows Kubernetes conventions: apiVersion: v1, kind: Pod, then metadata and spec in the expected order. You can copy the YAML straight to the clipboard, download it as a .yaml file ready for kubectl apply -f, or print it. A live statistics strip shows how many containers, ports, environment variables and labels the current pod carries, so you can sanity-check the shape of the manifest at a glance.

This is the tool for the everyday task of scaffolding a Pod without memorising the schema — handing a teammate a quick manifest, prototyping a sidecar, or teaching someone how the spec nests. It does not connect to any cluster and does not validate against your particular API server, so it is a generation and learning aid rather than a substitute for kubectl dry-runs; for production changes you should still run kubectl apply --dry-run=server against your cluster. Everything runs locally, nothing is uploaded, and the output is plain YAML you control.

The generated output is deliberately minimal and opinionated: it produces a bare Pod, not a Deployment or Job, because a Pod is the unit you reach for when debugging, when you want to run a one-off container, or when you are learning how the spec fits together. If you need replicas, rollouts or a Service in front of the pod, the generated YAML is still a useful starting point — paste it, wrap it in a Deployment, or hand it to a higher-level generator.

Two details are worth knowing. Port names must themselves be valid RFC 1123 labels (the same rule as container names), so a port called dns or http-1 is fine but my_port is not, and the generator flags it before the manifest is drawn. Resource quantities are passed through verbatim, so cpu: 100m and memory: 256Mi are written exactly as typed rather than reinterpreted, and environment values that contain spaces or slashes are quoted automatically so a value like production or /var/log/nginx survives the round trip into valid YAML.

To go further without leaving your machine, pipe the downloaded file into kubectl apply --dry-run=client -f pod.yaml to confirm it is accepted by your client, then --dry-run=server once you are connected, and only then apply it for real. The generator is the fast first step; your cluster stays the final authority on what actually runs.

• Multiple containers — add as many container cards as you need; each becomes its own entry in spec.containers.
• Pod metadata — name, namespace, restart policy (Always / OnFailure / Never) and service account.
• Dynamic labels — add or remove arbitrary key/value labels on the pod.
• Per-container ports — name, numeric containerPort and protocol (TCP / UDP / SCTP).
• Per-container environment variables — name/value pairs emitted as a proper env list.
• Resource requests and limits — separate CPU and memory fields; a resources block is written only when you supply values.
• Command and args — space-separated strings split into the array form Kubernetes expects.
• Live YAML preview — the manifest updates as you type, with a clean placeholder when empty.
• Validation as you go — RFC 1123 names, port range 1 to 65535, and valid quantity suffixes, reported before any broken YAML is produced.
• Copy / Download / Print — copy to clipboard, download pod.yaml, or print.
• Sample loader — one click fills a realistic two-container pod so you can see the output immediately.
• Live statistics — containers, ports, env vars and labels counted at a glance.

1. Set the pod name. Type a valid RFC 1123 name (lowercase letters, digits, hyphens) and, optionally, a namespace and restart policy.
2. Add labels. Use the Add label button to add key/value rows; remove any you do not need.
3. Add a container. Give it a name and an image such as nginx:1.25-alpine; use Add container for sidecars.
4. Fill container details. Add ports (with protocol), environment variables, and CPU/memory requests and limits as needed.
5. Watch the preview. The generated YAML appears on the right and updates with every keystroke.
6. Fix any messages. If a name, port or quantity is invalid, a panel explains what to correct.
7. Export. Copy the YAML, download it as pod.yaml, or print it for reference.

Example 1 — Single web pod. Name web-frontend, one container nginx:1.25-alpine with port 80/TCP produces a small manifest you can apply directly.

Example 2 — Multi-container sidecar. A nginx container plus a busybox sidecar whose command is sh -c and args tail -f /var/log/nginx/access.log — both land in the same spec.containers list.

Example 3 — Resource limits. Set CPU request 100m, memory request 128Mi, CPU limit 500m, memory limit 256Mi and the tool emits a resources block with requests and limits sub-maps.

Example 4 — Environment configuration. Add env ENV=production and LOG_LEVEL=info; they appear as a quoted-safe env list without you writing any YAML.

Example 5 — UDP port. A container with port 53, protocol UDP and name dns renders a port entry with protocol: UDP instead of the default TCP.

• No boilerplate — the schema is assembled for you, so you only fill in values.
• Validates as you type — bad names, ports and quantities are caught before they become broken YAML.
• Multi-container ready — sidecars and helpers are first-class, not an afterthought.
• Clean output — empty fields are omitted, not left as placeholders.
• Private — everything runs in the browser; nothing is uploaded.
• Copy, download or print — get the manifest wherever you need it.
• Learn the schema — seeing the form map to YAML is a fast way to understand Pod specs.
• No cluster needed — generate manifests offline, then apply them yourself with kubectl.