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Self-host automations while keeping workflows, credentials, and execution data inside your own environment.
RUN YOUR STACK
Your tools. Your server. Your rules.
Bring the apps your team already depends on—from automation and WordPress to APIs, databases, and containers—and shape the environment around your workload.
- AI agent to live URL
- MCP-connected tools
- Web app and database
- Domain and SSL
- Logs, health checks, and backups
- Thai and English project support
WORKLOAD FIRST
Start with the workload, not a product maze
Use the work you need to run to compare capacity, architecture, and a practical deployment path before you choose a service.
Run workflow orchestration, webhooks, scheduled jobs, and internal integrations in an environment you manage.
Build a focused stack for content sites, online stores, and the services that support them.
Host frontends, backends, workers, and APIs with the runtime choices your code already uses.
Arrange relational databases, caches, queues, and application services around the way your system works.
Bring familiar Docker, Compose, and Linux workflows without rebuilding around a proprietary platform.
Run agent services, automation workers, and supporting APIs while keeping the surrounding stack under your control.
WORKLOAD MAPAGW / 01
01 / System routeAPPAutomation and integrations
02 / AUTOMATION
03 / STATE + QUEUES
Ready to compare capacityREVIEW
FAMILIAR TOOLS
Shape the stack around tools you already use
Use these common workloads to frame the runtime, data, and capacity you need without locking the application to a proprietary platform.
Docker
Bring an existing container or Compose stack without redesigning it for a proprietary platform.
WordPress
Give websites and stores an isolated environment with room to tune the web server, cache, and database.
PostgreSQL
Run a relational database beside your application or separate it as the architecture grows.
Redis
Add low-latency caching, sessions, and queues for responsive applications and background jobs.
Node.js
Run APIs, workers, and server-rendered applications with a runtime your team already knows.
Python
Run web services, scheduled jobs, scrapers, and CPU-based AI tools in one familiar ecosystem.
Ubuntu
Start from familiar Linux and configure the operating environment around your application.
CONTROL AND PORTABILITY
Own the runtime, keep room to change
Standard open-source tools make it easier to adapt the architecture as your application changes.
- Use familiar Linux and container workflows instead of a proprietary application model
- Separate the application, database, and cache when requirements change
- Document the stack so it can move between compatible environments
- Translate expected usage into a practical starting capacity before ordering
A clearer path from workload to server
Start with the information you already have. The application, expected usage, and data shape are enough for a useful first comparison.
Describe the workload
List the apps, runtimes, expected users, and data you need to support.
Compare capacity
Review CPU, memory, and storage together instead of choosing from a vague label.
Confirm the route
Create an account or contact us to validate the fit and current availability before ordering.
Find a sensible starting point
Compare capacity or send us your stack and expected usage. You do not need a perfect technical brief.