1 - Introduction
Sidero (“Iron” in Greek) is a project created by the Sidero Labs team. Sidero Metal provides lightweight, composable tools that can be used to create bare-metal Talos Linux + Kubernetes clusters. These tools are built around the Cluster API project.
Because of the design of Cluster API, there is inherently a “chicken and egg” problem: you need an existing Kubernetes cluster in order to provision the management plane, that can then provision more clusters. The initial management plane cluster that runs the Sidero Metal provider does not need to be based on Talos Linux - although it is recommended for security and stability reasons. The Getting Started guide will walk you through installing Sidero Metal either on an existing cluster, or by quickly creating a docker based cluster used to bootstrap the process.
Overview
Sidero Metal is currently made up of two components:
- Metal Controller Manager: Provides custom resources and controllers for managing the lifecycle of metal machines, iPXE server, metadata service, and gRPC API service
- Cluster API Provider Sidero (CAPS): A Cluster API infrastructure provider that makes use of the pieces above to spin up Kubernetes clusters
Sidero Metal also needs these co-requisites in order to be useful:
All components mentioned above can be installed using Cluster API’s clusterctl
tool.
See the Getting Started for more details.
2 - Installation
As of Cluster API version 0.3.9, Sidero is included as a default infrastructure provider in clusterctl
.
To install Sidero and the other Talos providers, simply issue:
clusterctl init -b talos -c talos -i sidero
Sidero supports several variables to configure the installation, these variables can be set either as environment
variables or as variables in the clusterctl
configuration:
SIDERO_CONTROLLER_MANAGER_HOST_NETWORK
(false
): runsidero-controller-manager
on host networkSIDERO_CONTROLLER_MANAGER_API_ENDPOINT
(empty): specifies the IP address controller manager can be reached on, defaults to the node IPSIDERO_CONTROLLER_MANAGER_API_PORT
(8081): specifies the port controller manager can be reached onSIDERO_CONTROLLER_MANAGER_CONTAINER_API_PORT
(8081): specifies the controller manager internal container portSIDERO_CONTROLLER_MANAGER_EXTRA_AGENT_KERNEL_ARGS
(empty): specifies additional Linux kernel arguments for the Sidero agent (for example, different console settings)SIDERO_CONTROLLER_MANAGER_AUTO_ACCEPT_SERVERS
(false
): automatically accept discovered servers, by default.spec.accepted
should be changed totrue
to accept the serverSIDERO_CONTROLLER_MANAGER_AUTO_BMC_SETUP
(true
): automatically attempt to configure the BMC with asidero
user that will be used for all IPMI tasks.SIDERO_CONTROLLER_MANAGER_INSECURE_WIPE
(true
): wipe only the first megabyte of each disk on the server, otherwise wipe the full diskSIDERO_CONTROLLER_MANAGER_SERVER_REBOOT_TIMEOUT
(20m
): timeout for the server reboot (how long it might take for the server to be rebooted before Sidero retries an IPMI reboot operation)SIDERO_CONTROLLER_MANAGER_IPMI_PXE_METHOD
(uefi
): IPMI boot from PXE method:uefi
for UEFI boot orbios
for BIOS bootSIDERO_CONTROLLER_MANAGER_BOOT_FROM_DISK_METHOD
(ipxe-exit
): configures the way Sidero forces server to boot from disk when server hits iPXE server after initial install:ipxe-exit
returns iPXE script withexit
command,http-404
returns HTTP 404 Not Found error,ipxe-sanboot
uses iPXEsanboot
command to boot from the first hard disk
Sidero provides two endpoints which should be made available to the infrastructure:
- TCP port 8081 which provides combined iPXE, metadata and gRPC service (external endpoint should be passed to Sidero as
SIDERO_CONTROLLER_MANAGER_API_ENDPOINT
andSIDERO_CONTROLLER_MANAGER_API_PORT
) - UDP port 69 for the TFTP service (DHCP server should point the nodes to PXE boot from that IP)
These endpoints could be exposed to the infrastructure using different strategies:
- running
sidero-controller-manager
on the host network. - using Kubernetes load balancers (e.g. MetalLB), ingress controllers, etc.
Note: If you want to run
sidero-controller-manager
on the host network using port different from8081
you should set bothSIDERO_CONTROLLER_MANAGER_API_PORT
andSIDERO_CONTROLLER_MANAGER_CONTAINER_API_PORT
to the same value.
3 - Architecture
The overarching architecture of Sidero centers around a “management plane”. This plane is expected to serve as a single interface upon which administrators can create, scale, upgrade, and delete Kubernetes clusters. At a high level view, the management plane + created clusters should look something like:
4 - Resources
Sidero, the Talos bootstrap/controlplane providers, and Cluster API each provide several custom resources (CRDs) to Kubernetes. These CRDs are crucial to understanding the connections between each provider and in troubleshooting problems. It may also help to look at the cluster template to get an idea of the relationships between these.
Cluster API (CAPI)
It’s worth defining the most basic resources that CAPI provides first, as they are related to several subsequent resources below.
Cluster
Cluster
is the highest level CAPI resource.
It allows users to specify things like network layout of the cluster, as well as contains references to the infrastructure and control plane resources that will be used to create the cluster.
Machines
Machine
represents an infrastructure component hosting a Kubernetes node.
Allows for specification of things like Kubernetes version, as well as contains reference to the infrastructure resource that relates to this machine.
MachineDeployments
MachineDeployments
are similar to a Deployment
and their relationship to Pods
in Kubernetes primitives.
A MachineDeployment
allows for specification of a number of Machine replicas with a given specification.
Cluster API Bootstrap Provider Talos (CABPT)
TalosConfigs
The TalosConfig
resource allows a user to specify the type (init, controlplane, join) for a given machine.
The bootstrap provider will then generate a Talos machine configuration for that machine.
This resource also provides the ability to pass a full, pre-generated machine configuration.
Finally, users have the ability to pass configPatches
, which are applied to edit a generate machine configuration with user-defined settings.
The TalosConfig
corresponds to the bootstrap
sections of Machines, MachineDeployments
, and the controlPlaneConfig
section of TalosControlPlanes
.
TalosConfigTemplates
TalosConfigTemplates
are similar to the TalosConfig
above, but used when specifying a bootstrap reference in a MachineDeployment
.
Cluster API Control Plane Provider Talos (CACPPT)
TalosControlPlanes
The control plane provider presents a single CRD, the TalosControlPlane
.
This resource is similar to MachineDeployments
, but is targeted exclusively for the Kubernetes control plane nodes.
The TalosControlPlane
allows for specification of the number of replicas, version of Kubernetes for the control plane nodes, references to the infrastructure resource to use (infrastructureTemplate
section), as well as the configuration of the bootstrap data via the controlPlaneConfig
section.
This resource is referred to by the CAPI Cluster resource via the controlPlaneRef
section.
Sidero
Cluster API Provider Sidero (CAPS)
MetalClusters
A MetalCluster
is Sidero’s view of the cluster resource.
This resource allows users to define the control plane endpoint that corresponds to the Kubernetes API server.
This resource corresponds to the infrastructureRef
section of Cluster API’s Cluster
resource.
MetalMachines
A MetalMachine
is Sidero’s view of a machine.
Allows for reference of a single server or a server class from which a physical server will be picked to bootstrap.
MetalMachineTemplates
A MetalMachineTemplate
is similar to a MetalMachine
above, but serves as a template that is reused for resources like MachineDeployments
or TalosControlPlanes
that allocate multiple Machines
at once.
ServerBindings
ServerBindings
represent a one-to-one mapping between a Server resource and a MetalMachine
resource.
A ServerBinding
is used internally to keep track of servers that are allocated to a Kubernetes cluster and used to make decisions on cleaning and returning servers to a ServerClass
upon deallocation.
Metal Controller Manager
Environments
These define a desired deployment environment for Talos, including things like which kernel to use, kernel args to pass, and the initrd to use.
Sidero allows you to define a default environment, as well as other environments that may be specific to a subset of nodes.
Users can override the environment at the ServerClass
or Server
level, if you have requirements for different kernels or kernel parameters.
See the Environments section of our Configuration docs for examples and more detail.
Servers
These represent physical machines as resources in the management plane.
These Servers
are created when the physical machine PXE boots and completes a “discovery” process in which it registers with the management plane and provides SMBIOS information such as the CPU manufacturer and version, and memory information.
See the Servers section of our Configuration docs for examples and more detail.
ServerClasses
ServerClasses
are a grouping of the Servers
mentioned above, grouped to create classes of servers based on Memory, CPU or other attributes.
These can be used to compose a bank of Servers
that are eligible for provisioning.
See the ServerClasses section of our Configuration docs for examples and more detail.
Sidero Controller Manager
While the controller does not present unique CRDs within Kubernetes, it’s important to understand the metadata resources that are returned to physical servers during the boot process.
Metadata
The Sidero controller manager server may be familiar to you if you have used cloud environments previously.
Using Talos machine configurations created by the Talos Cluster API bootstrap provider, along with patches specified by editing Server
/ServerClass
resources or TalosConfig
/TalosControlPlane
resources, metadata is returned to servers who query the controller manager at boot time.
See the Metadata section of our Configuration docs for examples and more detail.
5 - System Requirements
System Requirements
Most of the time, Sidero does very little, so it needs very few resources. However, since it is in charge of any number of workload clusters, it should be built with redundancy. It is also common, if the cluster is single-purpose, to combine the controlplane and worker node roles. Virtual machines are also perfectly well-suited for this role.
Minimum suggested dimensions:
- Node count: 3
- Node RAM: 4GB
- Node CPU: ARM64 or x86-64 class
- Node storage: 32GB storage on system disk