Managed Services

CreateOS provides fully managed infrastructure services that integrate seamlessly with your applications. All services are deployed in your chosen region with automated configuration and monitoring.

IP-based firewall filtering is provided as a common service across all managed infrastructure.

Database Services

Deploy production-ready databases with monitoring and scaling capabilities.

Available Options

PostgreSQL A powerful, open-source relational database system known for its reliability, feature robustness, and performance.

MySQL A widely-used open-source relational database management system, popular for web applications and data warehousing.

Configuration Options

• Name: Unique identifier for your database instance
• Disk Size: 10 GB - 30 GB (adjustable range)
• Region: Select deployment region (e.g., NL - Amsterdam, Zone ams3)
• Compute Configuration:
  • Example: do-pg-16-1vcpu-1gb
  • 1 vCPU, 1 GB RAM, 1 Node

Cache Services

High-performance caching solutions to accelerate application response times and reduce database load.

Valkey

Valkey is an open-source, high-performance key-value data store (Redis alternative) designed for caching, session management, and real-time analytics.

Configuration Options

• Name: Unique identifier for your cache instance
• Disk Size: 10 GB
• Region: Select deployment region (e.g., NL - Amsterdam, Zone ams3)
• Compute Configuration:
  • Example: do-valkey-8-1vcpu-1gb
  • 1 vCPU, 1 GB RAM, 1 Node

Additional Settings:

• App Folder: Optional application-specific configuration directory

Message Queue Services

Distributed messaging systems for building scalable, decoupled architectures.

Kafka

Apache Kafka is a distributed event streaming platform capable of handling trillions of events per day, designed for high-throughput, fault-tolerant messaging.

Configuration Options

• Name: Unique identifier for your message queue cluster
• Disk Size: 40 GB - 80 GB (adjustable range)
• Region: Select deployment region (e.g., NL - Amsterdam, Zone ams3)
• Compute Configuration:
  • Example: do-kafka-3-2vcpu-2gb
  • 2 vCPU, 2 GB RAM
  • 3 Nodes (cluster configuration for high availability)

Common Configuration

Regional Deployment

All services share a common regional configuration:

Default Region: NL - Amsterdam, the Netherlands, Zone ams3

Additional regions may be available based on your deployment requirements. Choose a region closest to your users or application servers to minimize latency.

Resource Credits

All deployments consume resource credits from your account balance:

• Current Credits: Displayed in the top right (e.g., 377 / 10,000)
• Credits are consumed based on compute resources, disk size, and running time
• Monitor your credit usage to ensure uninterrupted service

Deployment Process

1. Select Service Type: Choose from Database, Cache, or Message Queue
2. Choose Technology: Select the specific technology (PostgreSQL, MySQL, Valkey, Kafka)
3. Configure Instance:
   • Provide a unique name
   • Set disk size within the allowed range
   • Select your deployment region
   • Choose compute configuration based on workload
   • Configure firewall settings
4. Deploy: Click the deployment button to provision your service

Servers (Compute)

Select your preferred computing configuration to get started with our platform.

Rent Servers →

Rent Machine

Lease computing resources from our platform with flexible configurations and pay-as-you-go pricing.

Machine Quantity

Specify the number of machines you need for your workload. Use the quantity selector to increase or decrease the count based on your requirements.

Compute Unit (CU) Options

Select the appropriate compute configuration for your workload:

2 CU Configuration

• 2 vCPU
• 4 GB RAM
• 90 GB Disk
• Starting at $20/mo
• Eligible for UNO promotional pricing

4 CU Configuration

• 4 vCPU
• 8 GB RAM
• 180 GB Disk
• Starting at $40/mo

8 CU Configuration

• 8 vCPU
• 16 GB RAM
• 360 GB Disk
• Starting at $80/mo

16 CU Configuration

• 16 vCPU
• 32 GB RAM
• 720 GB Disk
• Starting at $160/mo

Workload Scheduling Preference

Enable automated workload scheduling to optimize resource utilization and performance. The platform will intelligently distribute tasks across your machines based on capacity and availability.