Git push
Connect a repository and every push deploys. Main goes to production; branches get preview links.
Ship code. Cubeta handles the infrastructure.
Hand over your codebase and get a live, running application. Cubeta handles everything behind it—builds, containers, deployments, scaling, and observability—on a fully managed platform, with logs and metrics built in.
Codebase / Overview
ObservedMy Cubes
Everything you run on Cubeta.
Services1211 healthy
Containers48desired 48
Workers24+8 scaling
Queue18.4kprocessing
web-apiRunning
app.cubeta.co/web-api ↗8 containersUpdated 4 min agopayments-workerScaling
24 → 32 containersUpdated 2 min agopostgresRunning
Managed Postgres · 23 GBUpdated 1 h agodocs-siteDeploying
release 1.42.0 · build 80%Started 1 min agoRequests · last 24 h▲ 12% vs yesterday
00:0006:0012:0018:00now
Live logs● streaming
14:31:58 web-api GET /api/checkout 200 · 42ms14:31:55 payments-worker job batch #4213 processed14:31:51 web-api POST /webhooks/stripe 201 · 88ms14:31:47 postgres slow query detected · 214ms · autoflagged
Infrastructure events
Worker capacity increasedpayments-worker · 24 → 32
Release health validatedweb-api · 1.42.0
Deployment starteddocs-site · production
Everything your application needs. Nothing you have to run.
Four capabilities, fully managed behind every cube.
- Code
- Build
- Deploy
- Scale
- Observe
app.tsx
build 80% · image 42 MB
release 1.42.0
cube ● live
One-command deploys
Connect a codebase and deploy with one command. Cubeta builds, containerizes, and ships it to a live link.
utilization
24 containersbacklog · throughput · deadlineWorkload-aware scaling
Capacity follows your workload—backlog, throughput, and deadlines—not just CPU graphs.
p95 128 ms
err 0.03%
Observability built in
Logs, metrics, and deployment history ship with every cube—no setup, no extra bill.
Workload-aware autoscaling
Scale for the work that needs to finish.
A queue is more than CPU utilization. Cubeta combines backlog, throughput, active workers, and the remaining completion window to calculate required capacity.
PrincipleScaling should understand the workload, not only the machine.
Context inputs
01
Queue backlog500,000 jobs
02
Current throughput1,840 / min
03
Worker capacity20 healthy
04
Completion target03h 45m
Cubeta evaluatesRequired worker capacityworkload + infrastructure context
Controlled outcomeScale 20 → 32 workers
then observe and validateSafe by default
Deploying is one click. Keeping it safe is the platform's job.
Behind every deploy, Cubeta tracks what changed, validates health, and keeps rollback one step away—so a release never becomes a gamble.
01Current versionrelease 1.41.3stable
02New deploymentrelease 1.42.0running
03Health validationchecks 12 / 12healthy
04Continuedesired state reachedcomplete
Rollback path — available if health degrades
Logs and metrics come with the platform.
Every cube ships with logs, metrics, and deployment history from its first minute. You see what your application does—and what the platform does on its behalf.
logs
14:32:11 web-api POST /v1/checkout 200 41ms
14:32:09 payments-worker job 8841 done 2.1s
14:32:05 web-api GET /health 200 3ms
14:31:58 payments-worker job 8840 retry 1/3
14:31:55 postgres checkpoint complete
p95 latency128 msrolling 5 min
Error rate0.03%all routes
CPU41%pool average
Memory62%pool average
Production-ready from day one.
Every cube runs on the full platform. These come standard—no add-ons, no assembly.
Managed databases
Spin up managed PostgreSQL as a cube and connect it to your services in one click. Backups included.
Custom domains & TLS
Point your domain at a cube. Certificates are issued and renewed automatically.
Environment variables & secrets
Per-cube, per-environment configuration. Secrets stay encrypted and out of your logs.
Zero-downtime deployments
New versions go live behind health checks. Traffic moves only when the release is ready.
Instant rollback
Every deployment is versioned. Going back to a known-good release takes one click.
HTTP/2, WebSocket & gRPC
Modern protocols supported natively—streams, long-lived connections, and APIs just work.
However you ship, it deploys.
Every route ends the same way: a live, running application on managed infrastructure.
DirectionAgent chat & CLI are planned capabilities.
Dashboard
Create a cube from the dashboard, point it at your code, and deploy without a terminal.
Agent chat
Tell your AI agent to deploy. Cubeta works with your coding agents—describe it in chat and the platform does the rest.
CLI
Scriptable deploys, versions, and rollbacks from any terminal.
One platform. Two managed infrastructure domains.
Your application services run on managed application infrastructure. Your AI inference runs on managed GPU infrastructure. Cubeta is the platform behind both—same experience, same management, different infrastructure.
Applicationone codebase, one deployment
Web APIService
CPU nodesWorkers / QueueAsync processing
CPU nodesAI InferenceModel serving
GPU nodesCubetaOne platform behind both domains
CodebaseApplication infrastructureServices · Containers · Kubernetes · Workers
Shared coreInfrastructure intelligenceObserve · Understand · Execute · Validate
GPUAI compute infrastructureWorkloads · Scheduling · Allocation · Capacity
Cubeta Codebase
Give Cubeta a codebase. It runs the infrastructure.
The fully managed platform for deploying, operating, scaling, and understanding application workloads—so you can just ship code.