SUSE CaaS Platform

Minimal system requirements

SUSE CaaS Platform is deployed as a cluster of server nodes, each of which is intended to host some number of containers as workloads. Each node must therefore meet minimal requirements for running the CaaS Platform software, and must also meet additional memory and disk requirements of the containers that will run simultaneously on the node.

Minimally, each physical server that will be included in the CaaS Platform cluster must meet the following system requirements:

Processor:
  • Any AMD64/Intel* EM64T processor
    quad-core processors are recommended
    32-bit processors are not supported
Memory:
  • 8 GB physical RAM per node
    Additional memory requirements are determined by the containers to be run on the node
Disk:
  • 40 GB disk space per node
    Additional disk space requirements are determined by the count and size of container images to be run on the node

Supported environments

SUSE CaaS Platform can run on bare metal servers, in privately operated virtual machines, and on private and public cloud infrastructure resources. It supports the use of a wide range of popular storage options as well.

Bare Metal:
  • See the current list of support hardware platforms here
    SUSE CaaS Platform runs on SUSE MicroOS, a purpose-built container OS derived from SUSE Linux Enterprise Server (SLES). This means that CaaS Platform and SLES will always be supported on the same set of SUSE certified hardware platforms.
Virtualization:
  • KVM, Xen, VMware vSphere/ESXi, Microsoft HyperV
Private and public clouds:
  • SUSE OpenStack Cloud
    Running SUSE CaaS Platform on public cloud infrastructure is supported under the “Bring Your Own Subscription” model. SUSE supports only the CaaS Platform software; SUSE does not currently support any integration into the underlying cloud infrastructure.
Storage:
  • SUSE Enterprise Storage, NFS, hostpath

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SUSE CaaS Platform

Data Sheet

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SUSE CaaS Platform Demo

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Introduction to SUSE CaaS Platform

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SUSE Slices Deeper Into Container Market

Research paper

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