Pick your resources, configure the details, and get production-ready K8s manifests with health probes, resource limits, and best practices baked in.
apiVersion: apps/v1 kind: Deployment metadata: name: my-app namespace: default labels: app.kubernetes.io/name: my-app app.kubernetes.io/managed-by: turbodeploy spec: replicas: 2 selector: matchLabels: app.kubernetes.io/name: my-app template: metadata: labels: app.kubernetes.io/name: my-app app.kubernetes.io/managed-by: turbodeploy spec: containers: - name: my-app image: my-registry/my-app:latest ports: - containerPort: 3000 protocol: TCP resources: requests: cpu: 300">"100m" memory: 300">"128Mi" limits: cpu: 300">"500m" memory: 300">"256Mi" env: - name: NODE_ENV value: 300">"production" livenessProbe: httpGet: path: /health port: 3000 initialDelaySeconds: 15 periodSeconds: 20 readinessProbe: httpGet: path: /health port: 3000 initialDelaySeconds: 5 periodSeconds: 10 --- apiVersion: v1 kind: Service metadata: name: my-app namespace: default labels: app.kubernetes.io/name: my-app app.kubernetes.io/managed-by: turbodeploy spec: type: ClusterIP selector: app.kubernetes.io/name: my-app ports: - port: 80 targetPort: 3000 protocol: TCP name: http
TurboDeploy handles containerization, K8s manifests, and deployment with one click. Just push your code.