![Kubernetes Kapsule](https://www-uploads.scaleway.com/Kubernetes_Kapsule_Card_2b36a361ed.webp)
Kubernetes Kapsule
Develop and deploy a wide variety of containerized applications with managed Kubernetes, offering portability, availability, and stability to match all your teams’ needs.
A wide range of instances fully integrated into Scaleway’s cloud ecosystem, designed to offer the best price/performance ratio. Delivered in seconds, our Virtual Instances range is made to meet all your workload needs.
Powered by AMD EPYC™ 7003 series
Our Production-Optimized Instances are built to provide high-performance and reliable infrastructure solutions for businesses with production workloads. Designed for production environment, high-traffic and business-critical applications, and security-sensitive workloads. Offering 99,99% SLA.
Starting from €0.074/hour
Powered by AMD EPYC™ 7003 series
Optimize your mission-critical applications and high-performance workloads with our secure, scalable virtual machines, equipped for high memory and compute demands. Supported by fast 12.8 Gbps network speed for seamless data transfers.
Starting from €0.074/hour
Powered by AMD EPYC™ 7002/7001 series
Learning Instances provide affordable virtual machines focusing on delivering essential compute resources for basic workloads, websites and small applications. The easiest way to test and learn within Scaleway’s cloud ecosystem. Limited availability and no SLA.
Starting from €0.0001/hour
Powered by AMD EPYC™ 7003/7001 series or AMPERE ARM64 Altra Max
Cost-Optimized Instances provide a cost-effective solution for businesses that require flexible and scalable compute resources thanks to the shared vCPU. Ideal for development and test environments, web applications, small databases, staging servers, or other low-intensity workloads.
Starting from €0.014/hour
Option | Value | Price |
---|---|---|
Zone | Paris 1 | |
Instance | 1x | 0€ |
Volume | 10GB | 0€ |
Flexible IPv4 | Yes | 0.004€ |
Total | |
---|---|
Daily | 0€ |
Weekly | 0€ |
Monthly | 0€ |
Commit to a monthly spend on compute resources and enjoy a discount up to 25% on your monthly spend.
Why choose Scaleway's Savings Plans?
Learning | Cost-Optimized | Production-Optimized | Workload-Optimized | |
---|---|---|---|---|
Range Names | STARDUST | PLAY2/PRO2 & DEV1/GP1 | ENT1 & POP2 | POP2-HC & POP2-HM |
Usage | Discover Scaleway or host personal projects | Development and testing environments with flexible and scalable compute resources | Production workloads and business-critical apps | High-performance computing and data-intensive applications requiring dedicated resources and optimal performance |
Storage | Resilient Block Storage or Local Storage | Resilient Block Storage or Local Storage | Resilient Block Storage | Resilient Block Storage |
Resources | Shared vCPU | Shared vCPU | Dedicated vCPU | Dedicated vCPU |
Powered by | AMD EPYC 7002 or 7001 series | AMD EPYC 7003 or 7001 series | AMD EPYC 7003 series | AMD EPYC 7003 series |
Sizing | 1 vCPU 1 GB RAM | From 1 to 32 vCPUs From 2 to 128 GB RAM | From 2 to 96 vCPUs From 8 GB to 384GB RAM | From 2 to 64 vCPUs From 4 to 512GB RAM |
Ratio (vCPU/RAM) | 1:1 | 1:1, 1:2, 1:4 | 1:4 (General Purpose) | 1:2 to 1:8 |
Maximum bandwidth | 100 Mbps | From 100 Mbps to 6 Gbps | From 400 Mbps to 20 Gbps | From 400 Mbps to 12.8 Gbps |
Kubernetes Kapsule
Develop and deploy a wide variety of containerized applications with managed Kubernetes, offering portability, availability, and stability to match all your teams’ needs.
Block Storage
Block Storage stores virtual machines' data so they can access it when they restart. Ideal for quickly accessible and easily transferable data and backups.
Virtual Private Cloud
Secure and isolate your Compute resources within a Layer-2 Private Network
Shared: A context-switching mechanism allows a physical core to be shared between multiple vCPUs for multitasking. Instances with shared vCPU can be more cost-efective for running small, non-resource intensive applications than dedicated vCPU Instances. Our different types of shared vCPU Instances offer a variety of options to balance price and performance depending on your use case.
Dedicated: Instances with dedicated vCPU do not share their compute resources with other Instances (1 vCPU = 1 CPU thread dedicated to that Instance). This type of Instance is particularly recommended for running production-grade compute-intensive applications
You can opt for a “pay as you go” model, paying only for what you consume. This approach gives you the flexibility to provision resources and delete resources when needed.
If you anticipate a consistent usage volume, Savings Plans offer a flexible pricing structure designed to optimize compute costs. By committing to a consistent monthly spend, you can benefit from up to 25% discount for long-term savings. Learn more about Savings Plans here.
When you request to power off your Instance, four options are available:
When you select the Hard Reboot option, your instance performs an electrical reboot. Your data remains on the local storage. Whenever possible, you should reboot your instance from the OS to avoid data corruption.
When you select the Power off option, all data on the local volume of your instance is transferred to a volume store, and your physical node is released back to the pool of available machines. Depending on the amount of data to be archived, the process can take time.
When you select the Terminate option, your instance and volumes are deleted. You will not be able to recover them. The flexible IP attached to your instance will not be deleted.
When you select the Standby option, your instance is stopped, but all your data remains on the local storage. Your instance is still allocated to your account, and you can restart it anytime, without delay.
Important: With the Standby option, you are still charged the same amount as if the instance is running.
We provide a wide range of different Linux distributions and InstantApps for Instances. You are free to bootstrap your own distribution.
All Instances are natively compatible with Virtual Private Cloud and its Private Networks. You can add it through the console or automatize your deployment on a secure network with Terraform.
More info in the documentation