Supported Clouds
Nuvolaris is designed as a flexible, provider-agnostic serverless platform, making it compatible with a wide range of cloud solutions.
This versatility allows users to choose the infrastructure that best suits their needs, whether it’s public cloud, private cloud or bare-metal setups.
Here’s a detailed overview of the supported options.
1. Public Cloud
- AWS (Amazon Web Services): Nuvolaris integrates seamlessly with AWS, leveraging its Kubernetes services, such as EKS, for scalable deployment. AWS users can take advantage of the wide array of AWS-native services for additional functionality, paired with Nuvolaris’ serverless environment.
- GCP (Google Cloud Platform): With GCP, Nuvolaris utilises Google Kubernetes Engine (GKE) to offer robust and managed Kubernetes environments, facilitating high-availability deployments and enabling quick scalability.
- Microsoft Azure: Nuvolaris supports Azure Kubernetes Service (AKS), allowing Azure users to run serverless functions within Azure’s cloud-native ecosystem, combining the simplicity of Nuvolaris with Azure’s enterprise-grade cloud infrastructure.
2. Private Cloud
- Rancher (k3s): Nuvolaris is compatible with Rancher’s lightweight Kubernetes distribution, k3s, making it ideal for private cloud deployments that require efficient resource use without compromising on Kubernetes’ functionality.
- Ubuntu (MicroK8s): Supporting MicroK8s, Nuvolaris enables users to run lightweight, production-grade Kubernetes on Ubuntu, tailored for both development and enterprise scenarios where flexibility and control are priorities.
- Red Hat OpenShift: Nuvolaris integrates with OpenShift for users looking for a private cloud option that offers security, scalability, and extensive Kubernetes customization, allowing for advanced configuration and orchestration capabilities.
3. Bare-Metal Cloud
- Hetzner and OVH: For organisations preferring on-premises or bare-metal environments, Nuvolaris can be deployed directly on hardware providers like Hetzner and OVH, allowing users to harness dedicated physical servers. This configuration offers high performance and privacy, ideal for workloads requiring low latency and enhanced data sovereignty.