Container Hosting

Deploy any Docker container at scale

Bring your own Dockerfile. PandaStack builds it, pushes it to a private registry, and deploys it on Kubernetes with autoscaling, persistent volumes, and zero-downtime rolling updates.

Deploy your container

$ git push origin main

✓ Dockerfile detected

Building image (layer cache hit)...

Pushing to registry...

✓ Image pushed (8s)

Rolling deploy: 3/3 pods healthy

✓ Live at https://my-app.pandastack.app

How it works

01

Connect your repo or write a Dockerfile

FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY . .
EXPOSE 8080
CMD ["node", "server.js"]
02

PandaStack builds your image

# Automatic multi-platform build (amd64 + arm64)
# Layer caching enabled — subsequent builds are fast
✓ Image built in 38s
03

Configure resources & scaling

# Choose your instance tier:
#   Starter  → 512 MB RAM, 0.5 vCPU
#   Pro      → 2 GB RAM, 1 vCPU
#   Business → 8 GB RAM, 4 vCPU
# Autoscaling: 1–50 replicas
04

Deploy with zero downtime

# Rolling deploy: new pods come up before old ones go down
# Health check endpoint: GET /healthz
✓ Live at https://my-app.pandastack.app
Any language, any Dockerfile
Kubernetes-backed autoscaling
Multi-platform builds (amd64 + arm64)
Private container registry included
Persistent volumes supported
TCP and HTTP services
Internal service networking
Horizontal pod autoscaler