AI-built apps need a safe place to run.
Build with Claude Code, Codex, Cursor or whatever comes next. Push your application to GitHub and CloudContainer gives it a private, managed production environment with secure deployments, PostgreSQL, object storage, backups and AI-powered operations.
You build the application. CloudContainer takes care of production.
Your code stays in your GitHub repository
- ApplicationRunning
- PostgreSQLHealthy
- StorageHealthy
managed by cloudcontainer
- AI OperationsNo issues found
- Security ReviewPassed
- BackupProtected
AI changed software development
Building the app got easier. Running it didn't.
AI coding agents can now turn an idea into working software in hours. But once real users and real data are involved, the old production problems are still there.
- Is this safe to deploy?
- Where should PostgreSQL run?
- Where do uploaded files go?
- What happens if the app crashes?
- Are backups actually running?
- Did the latest commit introduce the error?
- Who keeps the server updated?
- Who watches the logs?
That's what CloudContainer is for.
CloudContainer turns your GitHub repository into a managed production environment — and keeps watching after the deployment is complete.
How it works
From GitHub to production without becoming your own DevOps team.
Build however you want
Use Claude Code, Codex, Cursor, Replit or your normal development workflow. Your source code stays in your GitHub repository.
Connect and deploy
Connect the repository and choose the branch. CloudContainer builds the application and reviews the new deployment before it reaches production.
CloudContainer runs production
Your application runs inside its managed CloudContainer, with monitoring, PostgreSQL, storage, HTTPS, backups and ongoing maintenance available from the same platform.
AI Security Review
Every deployment gets a second pair of eyes.
AI-generated code can work perfectly and still contain security mistakes. Before a new version reaches production, CloudContainer reviews what changed.
The review combines traditional security scanning with AI analysis of the change itself.
- Accidentally committed secrets
- Vulnerable dependencies
- Suspicious configuration changes
- Authentication and authorization risks
- Changes that could introduce production problems
Instead of a wall of security terminology, CloudContainer explains the finding and generates an instruction you can give directly back to the coding agent that built the application.
Possible authorization issue
/api/invoices/[id]
The endpoint verifies that the user is logged in, but does not verify that the requested invoice belongs to the authenticated organization.
recommended action
Add organization-level authorization before returning the invoice.
copy fix for coding agent
Review /api/invoices/[id]. The endpoint authenticates the user but does not verify that the requested invoice belongs to the authenticated organization. Add organization-level authorization. Do not modify unrelated functionality. Add a regression test confirming that a user from organization A cannot retrieve an invoice belonging to organization B.
Database errors increased after the latest deployment
- started
- +6 min
- after a829fc1
- errors
- 412/h
- current
- baseline
- 3/h
- previous
likely cause
A PostgreSQL client introduced in the latest commit is acquired inside a loop and not released correctly.
recommended action
Review src/api/orders.ts
copy fix for coding agent
In src/api/orders.ts a PostgreSQL client is acquired inside a loop and never released. Acquire the client once outside the loop, or release it in a finally block on every iteration. Do not modify unrelated functionality. Add a test that fails if a client is acquired without a matching release.
AI Operations
And we keep watching after you deploy.
Production problems rarely announce themselves clearly. A log fills with errors. Memory starts climbing. A database query becomes slow. A container starts restarting.
CloudContainer watches application logs, errors, restarts and resource usage, and looks for changes that need attention.
When something happens, CloudContainer does not just show you another graph. It investigates the problem, correlates it with recent deployments and tells you what it thinks happened.
You get an explanation, the likely cause, a recommended action and a fix instruction you can send back to your coding agent.
One private environment
Everything the application needs. In one CloudContainer.
Your application should not require five different infrastructure providers just to reach production.
Application compute, structured data and files can live together inside the same managed CloudContainer.
No separate database account. No separate object-storage provider. No Linux server to maintain yourself.
your cloudcontainer
- Application hosting
- PostgreSQL
- Object storage
- HTTPS
- Environment variables
- Logs & metrics
- Backup
- AI Operations
Isolation
Your own production environment.
Each CloudContainer runs in an isolated environment with dedicated resources.
Your applications, databases and files live inside your environment rather than sharing an application runtime with unrelated customers.
Predictable resources
Dedicated compute, memory and disk, so performance does not depend on who else deployed today.
Stronger isolation
Your environment is separated from other customers' applications and data.
Managed by CloudContainer
The environment is operated for you — you work with applications, not servers.
No SSH administration
Normal operation happens in the dashboard. Deployments, logs, restarts and restores are first-class actions.
PostgreSQL without another platform.
Create PostgreSQL directly inside CloudContainer and connect it to your application.
cloudcontainer manages
- Provisioning
- Credentials
- Persistent storage
- Health monitoring
- Logs
- Backup integration
It is standard PostgreSQL. You can access the connection credentials and export your data whenever you need to.
Your application files can stay here too.
Store images, documents, PDFs, uploads, attachments and generated files using S3-compatible object storage.
cloudcontainer storage
- Private buckets
- Public buckets
- S3-compatible API
- Exportable credentials
- Standard SDK support
For many applications, there is no need to create a separate AWS S3 or Cloudflare R2 account.
Managed production
Infrastructure work that stops being your problem.
HTTPS
Custom domains with certificates automatically issued and renewed.
Backups
Automatic CloudContainer backups, with restore points stored separately from the production environment.
Maintenance
Choose a service window for operating-system updates and necessary restarts.
Logs
Read application logs directly from CloudContainer, without opening an SSH session.
Resource monitoring
See CPU, memory and disk usage for the environment and the applications inside it.
Environment secrets
Store application configuration and credentials securely, outside the Git repository.
Designed for continuity
Your application should not depend on our dashboard staying online.
CloudContainer manages your environment, but the CloudContainer control plane is not in your application's normal request path.
A temporary problem with our management platform should not automatically take your running application or PostgreSQL database down with it.
Your application environment keeps doing its job while we fix ours.
request path
The architecture is designed to keep the control plane out of the request path. That is a design property, not an uptime guarantee.
Your application stays yours
Stay because it works. Not because leaving is difficult.
Your code stays in GitHub
CloudContainer deploys from your repository. We do not become the owner or source of truth for your code.
Standard PostgreSQL
Access your database credentials and move your data when you need to.
Standard S3-compatible storage
Use ordinary S3 tooling and SDKs rather than a proprietary storage API.
Hosted in Norway
Norwegian infrastructure for your production environment.
CloudContainer compute runs on Norwegian infrastructure, from a Norwegian company, with support in your time zone and your language.
AI Security Review and AI Operations analyse code and logs using an external model provider, so those specific requests leave the environment. If data location matters for your procurement, ask us — we would rather describe the current architecture precisely than make a claim we cannot stand behind.
A Norwegian company running on Norwegian infrastructure, invoicing in NOK.
- Compute hosted in Norway
- Norwegian company and contract
- Support in Norwegian
- Invoicing in NOK
Who it's for
For people who want to build software, not operate servers.
AI builders
People using coding agents to build real applications, who need a safer path to production.
SaaS founders
Technical founders who can build software but do not want infrastructure operations to become their job.
Developers
Developers who want control over their application without running their own production infrastructure.
Agencies and consultants
Teams running multiple customer applications that want a consistent deployment and operations model.
Companies with custom software
Businesses running internal portals, customer applications and other custom web software.
Pricing
Predictable monthly pricing for a private managed environment.
One price for one CloudContainer. Prices in NOK, excluding VAT.
Yearly billing · two months free
Small
AI builders and side projects
Excluding VAT · provisional
A first production environment for a single application.
Start free trial- vCPU
- 2
- Memory
- 4 GB
- Storage
- 80 GB
- Object storage
- 25 GB
Standard
SaaS founders and small teams
Excluding VAT · provisional
Room for an application with real users and real data.
Start free trial- vCPU
- 4
- Memory
- 8 GB
- Storage
- 160 GB
- Object storage
- 100 GB
Large
Agencies and consultants
Excluding VAT · provisional
More capacity for heavier applications or several applications together.
Start free trial- vCPU
- 8
- Memory
- 16 GB
- Storage
- 320 GB
- Object storage
- 250 GB
Included on every plan
Plans differ by capacity. The product is the same.
- Private CloudContainer environment
- Deploy from GitHub
- Application hosting
- PostgreSQL
- S3-compatible object storage
- Custom domains with automatic HTTPS
- Environment variables and secrets
- Application logs
- Resource monitoring
- Daily CloudContainer backup
- AI Security Review before deploy
- AI Operations after deploy
- Maintenance window
Build the application. Let CloudContainer run production.
Connect your GitHub repository and deploy into a private environment built to handle the parts that come after the code works.