Files
IvanHunters 12fc8365bb fix(kubernetes): make the worker-adoption guard remedy actionable
The guard's refusal message told the operator to run the platform migration,
but the case that reaches it is precisely one the migration already ran and
stamped for (its slot was renumbered out on a backport, or the parent
HelmRelease predates the application.kind label and the selector skipped it) --
re-running does nothing. Name the manual recovery instead: annotate
resource-policy=keep on the listed MachineDeployments, then stamp the
cozystack-version ConfigMap back below the worker-adoption migration so it
re-runs. Also note in the Phase 2 README that computeplane clusters render
their worker pools as separate KubernetesNodes releases too.

Signed-off-by: IvanHunters <xorokhotnikov@gmail.com>
2026-08-25 12:28:47 +03:00
..
2024-08-12 14:47:11 +02:00
2025-09-24 12:32:37 +02:00

Managed Kubernetes Service

Managed Kubernetes in Cozystack

Whenever you want to deploy a custom containerized application in Cozystack, it's best to deploy it to a managed Kubernetes cluster.

Cozystack deploys and manages Kubernetes-as-a-service as standalone applications within each tenant’s isolated environment. In Cozystack, such clusters are named tenant Kubernetes clusters, while the base Cozystack cluster is called a management or root cluster. Tenant clusters are fully separated from the management cluster and are intended for deploying tenant-specific or customer-developed applications.

Within a tenant cluster, users can take advantage of LoadBalancer services and easily provision physical volumes as needed.
The control-plane operates within containers, while the worker nodes are deployed as virtual machines, all seamlessly managed by the application.

Kubernetes version in tenant clusters is independent of Kubernetes in the management cluster. Users can select the supported patch versions from 1.31 to 1.35.

Why Use a Managed Kubernetes Cluster?

Kubernetes has emerged as the industry standard, providing a unified and accessible API, primarily utilizing YAML for configuration. This means that teams can easily understand and work with Kubernetes, streamlining infrastructure management.

Kubernetes leverages robust software design patterns, enabling continuous recovery in any scenario through the reconciliation method. Additionally, it ensures seamless scaling across a multitude of servers, addressing the challenges posed by complex and outdated APIs found in traditional virtualization platforms. This managed service eliminates the need for developing custom solutions or modifying source code, saving valuable time and effort.

The Managed Kubernetes Service in Cozystack offers a streamlined solution for efficiently managing server workloads.

Starting Work

Once the tenant Kubernetes cluster is ready, you can get a kubeconfig file to work with it. It can be done via UI or a kubectl request:

  • Open the Cozystack dashboard, switch to your tenant, find and open the application page. Copy one of the config files from the Secrets section.

  • Run the following command (using the management cluster kubeconfig):

    kubectl get secret -n tenant-<name> kubernetes-<clusterName>-admin-kubeconfig -o go-template='{{ printf "%s\n" (index .data "admin.conf" | base64decode) }}' > admin.conf
    

There are several kubeconfig options available:

  • admin.conf — The standard kubeconfig for accessing your new cluster. You can create additional Kubernetes users using this configuration.
  • admin.svc — Same token as admin.conf, but with the API server address set to the internal service name. Use it for applications running inside the cluster that need API access.
  • super-admin.conf — Similar to admin.conf, but with extended administrative permissions. Intended for troubleshooting and cluster maintenance tasks.
  • super-admin.svc — Same as super-admin.conf, but pointing to the internal API server address.

Implementation Details

A tenant Kubernetes cluster in Cozystack is essentially Kubernetes-in-Kubernetes. Deploying it involves the following components:

  • Kamaji Control Plane: Kamaji is an open-source project that facilitates the deployment of Kubernetes control planes as pods within a root cluster. Each control plane pod includes essential components like kube-apiserver, controller-manager, and scheduler, allowing for efficient multi-tenancy and resource utilization.

  • Etcd Cluster: A dedicated etcd cluster is deployed using the cozystack etcd-operator (etcd-operator.cozystack.io/v1alpha2). It provides reliable and scalable key-value storage for the Kubernetes control plane.

  • Worker Nodes: Virtual Machines are provisioned to serve as worker nodes using KubeVirt. These nodes are configured to join the tenant Kubernetes cluster, enabling the deployment and management of workloads. Worker node disks automatically detect and match the underlying volume's block size (blockSize.matchVolume) to ensure compatibility with storage backends that use non-512-byte sectors, such as LINSTOR DRBD with 4Kn drives.

  • Cluster API: Cozystack is using the Kubernetes Cluster API to provision the components of a cluster.

This architecture ensures isolated, scalable, and efficient tenant Kubernetes environments.

See the reference for components utilized in this service:

Breaking Changes

  • ephemeralStorage renamed to diskSize (v1.4): The nodeGroups[name].ephemeralStorage field has been renamed to nodeGroups[name].diskSize. Existing clusters are migrated transparently by platform migration 41 during the pre-upgrade hook — no manual action is required. Newly written values should use diskSize. Existing VMs are rolling-updated via CAPI when the new values are applied. With the Talos worker rollover in this release the field now sizes the single system disk (Talos OS image streamed from factory.talos.dev, kubelet state, containerd image cache, local-path PVCs) — the pre-Talos disk-kubelet PVC layout was removed. State on that single disk persists across same-VM reboots (virt-launcher restart, guest reboot, node failure); VM replacement by CAPI (e.g. nodeGroup field change, MachineHealthCheck remediation) provisions a fresh disk.

  • Air-gapped tenant workers (Phase 1 Talos rollover): tenant worker bootstrap moves from Ubuntu containerDisk + kubeadm to a Talos OS disk image fetched over HTTP by CDI and a .../installer/... installer reference. Both sources are now overridable — set talos.imageFactoryURL (default https://factory.talos.dev) to a self-hosted Image Factory, a caching mirror, or an internal HTTP file server, and talos.installerRepository (default factory.talos.dev/installer) to a mirrored registry. The Helm-rendered *-patch-containerd Secret that previously plumbed the platform-wide registries.mirrors config to tenant workers (via the kubeadm template's containerd certs.d mount) has no consumer in the Talos machineconfig and was removed in this release; in-guest container-image pulls (pods pulling from registries inside the tenant cluster) still honour no per-tenant registries.mirrors override until Phase 2 restores it via machine.registries.mirrors knobs. So a strict-egress tenant can now mirror the Talos OS image and installer, but rate-limited in-guest registry pulls remain a Phase 2 follow-up — file an issue if you depend on this and it is not yet landed.

  • Worker MachineHealthCheck remediation is now enabled by default (Phase 1 Talos rollover): the worker MHC maxUnhealthy moved from a hard-coded 0 (remediation effectively off) to a configurable nodeHealthCheck.maxUnhealthy defaulting to "50%". CAPI now auto-remediates (deletes and replaces) unhealthy worker Machines while at least 50% of a group stays healthy. "50%" deliberately leaves headroom for transient unhealthy nodes during the kubeadm→Talos rollover and slow first boots from factory.talos.dev; set nodeHealthCheck.maxUnhealthy: "0%" to keep the previous remediation-off behaviour until your fleet is stable on Talos workers.

  • GitOps-managed tenant Kubernetes CRs must bump spec.version in Git (Phase 1 Talos rollover): platform migration 46 patches live kuberneteses.apps.cozystack.io objects from v1.30 to v1.31 (v1.30 left the Talos↔Kubernetes support matrix). When the tenant Kubernetes CR is reconciled from Git (Flux/Argo), the next source reconcile re-applies version: v1.30 over migration 46's patch, which then trips the chart's _versions.tpl guard and the HelmRelease fails. Update spec.version to v1.31 (or newer) in your Git source before/with the platform upgrade. Tenants managed via the API or dashboard need no action — migration 46 handles them.

  • Remote-accessible LINSTOR StorageClasses are auto-propagated to tenants (v1.5): infra-cluster LINSTOR StorageClasses whose linstor.csi.linbit.com/allowRemoteVolumeAccess is not "false" are created inside each tenant under the same name (provisioned by csi.kubevirt.io). Upgrade caveat: delete any manually created tenant StorageClass whose name collides with a propagated infra class (e.g. a hand-made replicated) before upgrading, or the propagated class cannot be created and the tenant CSI release will not converge. Infra classes that must stay node-local need allowRemoteVolumeAccess: "false" set explicitly — an absent annotation is treated as remote-accessible. Propagation is evaluated at HelmRelease render time, so classes added or removed on the infra cluster after a tenant exists propagate only on that tenant's next reconcile.

  • Worker pools split into KubernetesNodes (Phase 2): spec.nodeGroups, spec.nodeHealthCheck and spec.maxNodeProvisionTime are removed from the Kubernetes CR — worker pools are now separate KubernetesNodes resources (one HelmRelease per pool; see the kubernetes-nodes chart), on which spec.cluster and spec.storageClass are immutable (self == oldSelf). Existing pools are adopted automatically on upgrade by platform migration 56 with no worker-VM churn. Consequences: (1) the Kubernetes CR's WorkloadsReady condition is now control-plane-only — worker health is reported on each KubernetesNodes resource, so a dashboard or kubectl wait watching the parent no longer reflects worker readiness; (2) enabling addons.ingressNginx now requires a pool carrying roles: [ingress-nginx] (the implicit default md0 is gone — without such a pool the controller DaemonSet schedules nothing); (3) do not edit Kubernetes CRs during a platform upgrade — a mid-window parent render can transiently fail Helm ownership validation while migration 56 re-annotates worker objects, and self-heals once the new chart artifact lands; (4) when deleting a cluster, delete its KubernetesNodes pools before the parent Kubernetes resource, so each pool's pre-delete unpin hook can run while the tenant apiserver and the CAPI CRDs still exist — deleting the parent first can leave the pool release reconciling CAPI objects against a cluster that is being torn down (in the pre-split monolith the pools were part of the parent release and died with it; they are now separate resources with their own lifecycle); (5) the removed fields (nodeGroups, nodeHealthCheck, maxNodeProvisionTime) are still accepted and stored on an already-upgraded Kubernetes CR — the adoption migration deliberately leaves them in place rather than rewriting parent values mid-upgrade — but they have no effect: editing them (for example scaling via spec.nodeGroups.<pool>.minReplicas) does nothing, and the API returns an admission warning pointing you at the KubernetesNodes resources. A cluster name is also capped at 32 characters so every pool's KubernetesNodes release name fits the 53-character Helm limit. ComputePlane clusters (the computeplane module) are affected the same way: their worker pools are rendered as separate per-pool KubernetesNodes releases too (materialised directly by the module rather than adopted), so the same pool-name length limit applies to their nodeGroups keys.

The top-level storageClass field is annotated as immutable in the chart schema — see docs/storage-immutability.md for the contract and which consumers enforce it. The per-pool worker storageClass now lives on the KubernetesNodes resource (see the kubernetes-nodes chart).

Parameters

Common Parameters

Name Description Type Value
storageClass Default StorageClass inside the tenant cluster. Remote-accessible LINSTOR classes are auto-propagated to the tenant under the same name. string replicated

Application-specific Parameters

Name Description Type Value
version Kubernetes major.minor version to deploy string v1.35
host External hostname for Kubernetes cluster. Defaults to <cluster-name>.<tenant-host> if empty. string ""

Cluster Addons

Name Description Type Value
addons Cluster addons configuration. object {}
addons.certManager Cert-manager addon. object {}
addons.certManager.enabled Enable cert-manager. bool false
addons.certManager.valuesOverride Custom Helm values overrides. object {}
addons.cilium Cilium CNI plugin. object {}
addons.cilium.valuesOverride Custom Helm values overrides. object {}
addons.gatewayAPI Gateway API addon. object {}
addons.gatewayAPI.enabled Enable Gateway API. bool false
addons.ingressNginx Ingress-NGINX controller. object {}
addons.ingressNginx.enabled Enable the controller (requires nodes labeled ingress-nginx). bool false
addons.ingressNginx.exposeMethod Method to expose the controller. Allowed values: Proxied, LoadBalancer. string Proxied
addons.ingressNginx.hosts Domains routed to this tenant cluster when exposeMethod is Proxied. []string []
addons.ingressNginx.valuesOverride Custom Helm values overrides. object {}
addons.gpuOperator NVIDIA GPU Operator. object {}
addons.gpuOperator.enabled Enable GPU Operator. bool false
addons.gpuOperator.valuesOverride Custom Helm values overrides. object {}
addons.hami HAMi GPU virtualization middleware. object {}
addons.hami.enabled Enable HAMi (requires GPU Operator). bool false
addons.hami.valuesOverride Custom Helm values overrides. object {}
addons.monitoringAgents Monitoring agents. object {}
addons.monitoringAgents.enabled Enable monitoring agents. bool false
addons.monitoringAgents.valuesOverride Custom Helm values overrides. object {}
addons.verticalPodAutoscaler Vertical Pod Autoscaler. object {}
addons.verticalPodAutoscaler.valuesOverride Custom Helm values overrides. object {}
addons.velero Velero backup/restore addon. object {}
addons.velero.enabled Enable Velero. bool false
addons.velero.valuesOverride Custom Helm values overrides. object {}
addons.coredns CoreDNS addon. object {}
addons.coredns.valuesOverride Custom Helm values overrides. object {}
addons.ouroboros Hairpin-NAT fix for ingress-nginx with PROXY-protocol. object {}
addons.ouroboros.enabled Enable ouroboros. Requires addons.ingressNginx.enabled (chart-render fail otherwise). Only useful when PROXY-protocol is wired on the tenant ingress-nginx via valuesOverride. bool false
addons.ouroboros.valuesOverride Custom Helm values overrides. Operator-key wins over cozystack defaults. object {}

Kubernetes Control Plane Configuration

Name Description Type Value
controlPlane Kubernetes control-plane configuration. object {}
controlPlane.replicas Number of control-plane replicas. int 2
controlPlane.apiServer API Server configuration. object {}
controlPlane.apiServer.resources CPU and memory resources for API Server. object {}
controlPlane.apiServer.resources.cpu CPU available. quantity ""
controlPlane.apiServer.resources.memory Memory (RAM) available. quantity ""
controlPlane.apiServer.resourcesPreset Preset if resources omitted. string c1.medium
controlPlane.apiServer.extraArgs Extra command-line flags appended to the tenant kube-apiserver, passed through to KamajiControlPlane spec.apiServer.extraArgs. For OIDC use spec.oidc.mode — this passthrough is the escape hatch for other apiserver flags (--requestheader-uid-headers=X-Remote-Uid, feature gates, etc). Do NOT add legacy --oidc-* flags here when spec.oidc.mode is not None; the chart injects --authentication-config and the apiserver refuses to boot with both. Empty by default (no change to current behavior). []string []
controlPlane.apiServer.extraVolumes Extra volumes added to the control-plane Deployment, passed through to KamajiControlPlane spec.deployment.extraVolumes. Use to mount a ConfigMap or Secret holding an AuthenticationConfiguration file referenced by extraArgs. Each item is a core/v1 Volume, but because the control-plane pod runs on the management cluster only configMap and secret sources are allowed (host-reaching sources like hostPath/csi and token-projection via projected are rejected); each volume must have a unique, non-empty name and exactly one source. The names talos-ca and talos-tls-cert are reserved by the chart. Empty by default. []object []
controlPlane.apiServer.extraVolumeMounts Extra volume mounts added to the tenant kube-apiserver container, passed through to KamajiControlPlane spec.apiServer.extraVolumeMounts. Each name must reference a volume declared in extraVolumes; the chart-managed talos secret volumes cannot be mounted. Each item is a core/v1 VolumeMount. Empty by default. []object []
controlPlane.controllerManager Controller Manager configuration. object {}
controlPlane.controllerManager.resources CPU and memory resources for Controller Manager. object {}
controlPlane.controllerManager.resources.cpu CPU available. quantity ""
controlPlane.controllerManager.resources.memory Memory (RAM) available. quantity ""
controlPlane.controllerManager.resourcesPreset Preset if resources omitted. string t1.micro
controlPlane.scheduler Scheduler configuration. object {}
controlPlane.scheduler.resources CPU and memory resources for Scheduler. object {}
controlPlane.scheduler.resources.cpu CPU available. quantity ""
controlPlane.scheduler.resources.memory Memory (RAM) available. quantity ""
controlPlane.scheduler.resourcesPreset Preset if resources omitted. string t1.micro
controlPlane.konnectivity Konnectivity configuration. object {}
controlPlane.konnectivity.server Konnectivity Server configuration. object {}
controlPlane.konnectivity.server.resources CPU and memory resources for Konnectivity. object {}
controlPlane.konnectivity.server.resources.cpu CPU available. quantity ""
controlPlane.konnectivity.server.resources.memory Memory (RAM) available. quantity ""
controlPlane.konnectivity.server.resourcesPreset Preset if resources omitted. string t1.micro
images Optional image overrides for air-gapped or rate-limited registries. object {}
images.waitForKubeconfig Image used by the wait-for-kubeconfig init container. Empty falls back to images/busybox.tag. string ""
images.kubectl Image used by the bootstrap-token tenant Job (kubectl). Empty falls back to images/kubectl.tag. string ""
images.talosCsrSigner Image used by the talos-csr-signer sidecar in the Kamaji control plane. Empty falls back to images/talos-csr-signer.tag. string ""

Talos Worker Image

Name Description Type Value
talos Talos worker image configuration. object {}
talos.version Talos release used for worker OS image and installer. Must satisfy the chart's Talos<->Kubernetes support matrix against the chosen version. string v1.13.6
talos.schematicID Talos image-factory schematic ID. Defaults to the cozystack-tested vanilla schematic. Operators using custom schematics (system extensions, kernel args) override here. string ce4c980550dd2ab1b17bbf2b08801c7eb59418eafe8f279833297925d67c7515
talos.imageFactoryURL Base URL of the Talos Image Factory that serves the worker OS disk image (the openstack-amd64.raw.xz raw artifact streamed in by CDI over HTTP). Defaults to the public factory. Point at a self-hosted Image Factory, a caching mirror, or an internal HTTP file server for air-gapped, rate-limited, or flaky-egress environments. No trailing slash. string https://factory.talos.dev
talos.installerRepository OCI repository prefix for the Talos installer image used by the in-guest talos-reconcile upgrade Job. Resolved as <installerRepository>/<schematicID>:<version>. Defaults to the public factory's installer path. Override for air-gapped or mirrored registries. No trailing slash. string factory.talos.dev/installer
talos.registryMirrors Talos machine.registries.mirrors passthrough for worker nodes: a map of upstream registry host to { endpoints: [ ... ] }. Empty by default, so workers pull container images (the Talos kubelet image included) directly from the upstream registry. Point a host such as ghcr.io at an in-cluster pull-through mirror for air-gapped, rate-limited, or flaky-egress environments so a worker's boot does not depend on live public egress. Talos still falls back to the upstream registry unless a host also sets skipFallback: true, so a mirror alone does not enforce air-gap. object {}

OIDC

Name Description Type Value
oidc OIDC authentication and per-user RBAC for the tenant kube-apiserver. See docs/oidc-tenant.md for the operator guide. object {}
oidc.mode Identity mode. None: no OIDC, only the static admin kubeconfig works. System: trust the platform cozy realm via a per-cluster public client with audience binding; zero-config default. CustomConfig: trust a tenant-supplied issuer directly (BYO); cozy is not in the path. string None
oidc.customConfig Tenant-supplied AuthenticationConfiguration; consumed only when mode: CustomConfig. object {}
oidc.customConfig.config Inline AuthenticationConfiguration YAML (apiserver.config.k8s.io/v1beta1). The chart writes the value verbatim into a Secret mounted at /etc/kubernetes/authentication-config/config.yaml on the kube-apiserver. Mutually exclusive with secretRef.name. string ""
oidc.customConfig.secretRef Reference to an existing Secret in the tenant namespace carrying the AuthenticationConfiguration. object {}
oidc.customConfig.secretRef.name Name of an existing Secret in the tenant (release) namespace whose config.yaml key holds an apiserver.config.k8s.io/v1beta1 AuthenticationConfiguration. Mutually exclusive with customConfig.config. string ""
oidc.users Users granted access to the tenant cluster; each entry produces one ClusterRoleBinding inside the tenant cluster. Works for both System and CustomConfig modes. []object []
oidc.users[i].email Email address matched against the email claim from the issuer. Used verbatim as the User: subject in the ClusterRoleBinding inside the tenant cluster. The email claim is a built-in OIDC scope requested explicitly by the chart-generated kubectl oidc-login kubeconfig; every conformant OIDC provider (cozy realm included) emits it. string ""
oidc.users[i].role Role to bind: admin maps to ClusterRole/cluster-admin, view maps to ClusterRole/view. string {}

Parameter examples and reference

resources and resourcesPreset

resources sets explicit CPU and memory configurations for each replica. When left empty, the preset defined in resourcesPreset is applied.

resources:
  cpu: 4000m
  memory: 4Gi

resourcesPreset sets named CPU and memory configurations for each replica. This setting is ignored if the corresponding resources value is set.

Preset name CPU memory
nano 250m 128Mi
micro 500m 256Mi
small 1 512Mi
medium 1 1Gi
large 2 2Gi
xlarge 4 4Gi
2xlarge 8 8Gi

instanceType Resources

The following instanceType resources are provided by Cozystack:

Name vCPUs Memory
cx1.2xlarge 8 16Gi
cx1.2xlarge1gi 8 16Gi
cx1.4xlarge 16 32Gi
cx1.4xlarge1gi 16 32Gi
cx1.8xlarge 32 64Gi
cx1.8xlarge1gi 32 64Gi
cx1.large 2 4Gi
cx1.large1gi 2 4Gi
cx1.medium 1 2Gi
cx1.medium1gi 1 2Gi
cx1.xlarge 4 8Gi
cx1.xlarge1gi 4 8Gi
d1.2xlarge 8 32Gi
d1.2xmedium 2 4Gi
d1.4xlarge 16 64Gi
d1.8xlarge 32 128Gi
d1.large 2 8Gi
d1.medium 1 4Gi
d1.micro 1 1Gi
d1.nano 1 512Mi
d1.small 1 2Gi
d1.xlarge 4 16Gi
gn1.2xlarge 8 32Gi
gn1.4xlarge 16 64Gi
gn1.8xlarge 32 128Gi
gn1.xlarge 4 16Gi
m1.2xlarge 8 64Gi
m1.2xlarge1gi 8 64Gi
m1.4xlarge 16 128Gi
m1.4xlarge1gi 16 128Gi
m1.8xlarge 32 256Gi
m1.8xlarge1gi 32 256Gi
m1.large 2 16Gi
m1.large1gi 2 16Gi
m1.xlarge 4 32Gi
m1.xlarge1gi 4 32Gi
n1.2xlarge 16 32Gi
n1.4xlarge 32 64Gi
n1.8xlarge 64 128Gi
n1.large 4 8Gi
n1.medium 4 4Gi
n1.xlarge 8 16Gi
o1.2xlarge 8 32Gi
o1.4xlarge 16 64Gi
o1.8xlarge 32 128Gi
o1.large 2 8Gi
o1.medium 1 4Gi
o1.micro 1 1Gi
o1.nano 1 512Mi
o1.small 1 2Gi
o1.xlarge 4 16Gi
rt1.2xlarge 8 32Gi
rt1.4xlarge 16 64Gi
rt1.8xlarge 32 128Gi
rt1.large 2 8Gi
rt1.medium 1 4Gi
rt1.micro 1 1Gi
rt1.small 1 2Gi
rt1.xlarge 4 16Gi
u1.2xlarge 8 32Gi
u1.2xmedium 2 4Gi
u1.4xlarge 16 64Gi
u1.8xlarge 32 128Gi
u1.large 2 8Gi
u1.medium 1 4Gi
u1.micro 1 1Gi
u1.nano 1 512Mi
u1.small 1 2Gi
u1.xlarge 4 16Gi

U Series: Universal

The U Series is quite neutral and provides resources for general purpose applications.

U is the abbreviation for "Universal", hinting at the universal attitude towards workloads.

VMs of instance types will share physical CPU cores on a time-slice basis with other VMs.

U Series Characteristics

Specific characteristics of this series are:

  • Burstable CPU performance - The workload has a baseline compute performance but is permitted to burst beyond this baseline, if excess compute resources are available.
  • vCPU-To-Memory Ratio (1:4) - A vCPU-to-Memory ratio of 1:4, for less noise per node.

O Series: Overcommitted

The O Series is based on the U Series, with the only difference being that memory is overcommitted.

O is the abbreviation for "Overcommitted".

O Series Characteristics

Specific characteristics of this series are:

  • Burstable CPU performance - The workload has a baseline compute performance but is permitted to burst beyond this baseline, if excess compute resources are available.
  • Overcommitted Memory - Memory is over-committed in order to achieve a higher workload density.
  • vCPU-To-Memory Ratio (1:4) - A vCPU-to-Memory ratio of 1:4, for less noise per node.

CX Series: Compute Exclusive

The CX Series provides exclusive compute resources for compute intensive applications.

CX is the abbreviation of "Compute Exclusive".

The exclusive resources are given to the compute threads of the VM. In order to ensure this, some additional cores (depending on the number of disks and NICs) will be requested to offload the IO threading from cores dedicated to the workload. In addition, in this series, the NUMA topology of the used cores is provided to the VM.

CX Series Characteristics

Specific characteristics of this series are:

  • Hugepages - Hugepages are used in order to improve memory performance.
  • Dedicated CPU - Physical cores are exclusively assigned to every vCPU in order to provide fixed and high compute guarantees to the workload.
  • Isolated emulator threads - Hypervisor emulator threads are isolated from the vCPUs in order to reduce emaulation related impact on the workload.
  • vNUMA - Physical NUMA topology is reflected in the guest in order to optimize guest sided cache utilization.
  • vCPU-To-Memory Ratio (1:2) - A vCPU-to-Memory ratio of 1:2.

M Series: Memory

The M Series provides resources for memory intensive applications.

M is the abbreviation of "Memory".

M Series Characteristics

Specific characteristics of this series are:

  • Hugepages - Hugepages are used in order to improve memory performance.
  • Burstable CPU performance - The workload has a baseline compute performance but is permitted to burst beyond this baseline, if excess compute resources are available.
  • vCPU-To-Memory Ratio (1:8) - A vCPU-to-Memory ratio of 1:8, for much less noise per node.

RT Series: RealTime

The RT Series provides resources for realtime applications, like Oslat.

RT is the abbreviation for "realtime".

This series of instance types requires nodes capable of running realtime applications.

RT Series Characteristics

Specific characteristics of this series are:

  • Hugepages - Hugepages are used in order to improve memory performance.
  • Dedicated CPU - Physical cores are exclusively assigned to every vCPU in order to provide fixed and high compute guarantees to the workload.
  • Isolated emulator threads - Hypervisor emulator threads are isolated from the vCPUs in order to reduce emaulation related impact on the workload.
  • vCPU-To-Memory Ratio (1:4) - A vCPU-to-Memory ratio of 1:4 starting from the medium size.