Version 1.14. This version is no longer supported. For information about how to upgrade to version 1.15, see Upgrading Anthos on bare metal in the 1.15 documentation. For more information about supported and unsupported versions, see the Version history page in the latest documentation.

Cluster node machine prerequisites

Google Distributed Cloud supports a wide variety of systems running on the hardware that the target operating system distributions support. An Google Distributed Cloud configuration can run on minimal hardware, or on multiple machines to provide flexibility, availability, and performance.

Regardless of your Google Distributed Cloud configuration, your nodes and clusters must have enough CPU, RAM, and storage resources to meet the needs of clusters and the workloads that you're running.

Minimum and recommended CPU, RAM, and storage requirements

When you install Google Distributed Cloud, you can create different types of clusters:

A user cluster that runs workloads.
An admin cluster that creates and controls user clusters to run workloads.
A standalone cluster is a single cluster that can manage and run workloads, but a standalone cluster can't create or manage user clusters.
A hybrid cluster can manage and run workloads, and a hybrid cluster can also create and manage additional user clusters.

In addition to cluster type, you can choose from the following installation profiles in terms of resource requirements:

Default: The default profile has standard system resource requirements, and you can use it for all cluster types.
Edge: The edge profile has significantly reduced system resource requirements. Use of this profile is recommended for edge devices with limited resources. You can only use the edge profile for standalone clusters.

Resource requirements for all cluster types using the default profile

The following table describes the minimum and recommended hardware requirements that Google Distributed Cloud needs to operate and manage admin, hybrid, user, and standalone clusters using the default profile:

Resource	Minimum	Recommended
CPUs / vCPUs^*	4 core	8 core
RAM	16 GiB	32 GiB
Storage	128 GiB	256 GiB

^* Google Distributed Cloud supports only x86-64 CPUs and vCPUs at the CPU microarchitecture level v3 (x86-64-v3) and higher.

Resource requirements for standalone clusters using the edge profile

The following table describes the minimum and recommended hardware requirements that Google Distributed Cloud needs to operate and manage standalone clusters using the edge profile:

Resource	Minimum	Recommended
CPUs / vCPUs^*	2 core	4 core
RAM	Ubuntu: 4 GiB CentOS/RHEL: 6 GiB	Ubuntu: 8 GiB CentOS/RHEL: 12 GiB
Storage	128 GiB	256 GiB

^* Google Distributed Cloud supports only x86-64 CPUs and vCPUs at the CPU microarchitecture level v3 (x86-64-v3) and higher.

To configure standalone clusters using the edge profile, follow these best practices:

Run bmctl on a separate workstation. If you must run bmctl on the target cluster node, you need 2 GiB of memory to meet the minimum requirements. For example, you require 6 GiB for Ubuntu and 8 GiB for CentOS/Redhat.
Set MaxPodsPerNode to 110. The cluster runs no more than 30 user pods per node on average. You might need extra resources for a higher MaxPodsPerNode configuration or run more than 30 user pods per node.
VM Runtime on Google Distributed Cloud components aren't considered in this minimum resource configuration. VM Runtime on Google Distributed Cloud requires additional resources depending on the number of VMs deployed in the cluster.

Additional storage requirements

Google Distributed Cloud doesn't provide any storage resources. You must provision and configure the required storage on your system.

For detailed storage requirements, see the Installation prerequisites overview.

For more information about how to configure the storage required, see Configuring storage for Google Distributed Cloud.

Node machine prerequisites

The node machines have the following prerequisites:

Their operating system is one of the supported Linux distributions. For more information, see, Select your operating system.
The Linux kernel version is 4.17.0 or newer. Ubuntu 18.04 and 18.04.1 are on Linux kernel version 4.15 and therefore incompatible.
Meet the minimum hardware requirements.
Internet access.
Layer 3 connectivity to all other node machines.
Access to the control plane VIP.
Properly configured DNS nameservers.
No duplicate host names.
One of the following NTP services is enabled and working:
- chrony
- ntp
- ntpdate
- systemd-timesyncd
A working package manager: apt, dnf, etc.
On Ubuntu, you must disable Uncomplicated Firewall (UFW). Run systemctl stop ufw to disable UFW.
On Ubuntu and starting with Google Distributed Cloud 1.8.2, you aren't required to disable AppArmor. If you deploy clusters using earlier releases of Google Distributed Cloud disable AppArmor with the following command: systemctl stop apparmor
Cluster creation only checks for the required free space for the Google Distributed Cloud system components. This change gives you more control on the space you allocate for application workloads. Whenever you install Google Distributed Cloud, ensure that the file systems backing the following directories have the required capacity and meet the following requirements:
- /: 17 GiB (18,253,611,008 bytes).
- /var/lib/containerd:
  - 30 GiB (32,212,254,720 bytes) for control plane nodes.
  - 10 GiB (10,485,760 bytes) for worker nodes.
- /var/lib/kubelet: 500 MiB (524,288,000 bytes).
- /var/lib/etcd: 20 GiB (21,474,836,480 bytes, applicable to control plane nodes only).
  
  Note: The preceding storage/space requirements are for system components only. You may require additional storage depending on the workloads that you plan to deploy.
Regardless of cluster version, the preceding lists of directories can be on the same or different partitions. If they are on the same underlying partition, then the space requirement is the sum of the space required for each individual directory on that partition. For all release versions, the cluster creation process creates the directories, if needed.
/var/lib/etcd and /etc/kubernetes directories are either non-existent or empty.

In addition to the prerequisites for installing and running Google Distributed Cloud, customers are expected to comply with relevant standards governing their industry or business segment, such as PCI DSS requirements for businesses that process credit cards or Security Technical Implementation Guides (STIGs) for businesses in the defense industry.

Load balancer machines prerequisites

When your deployment doesn't have a specialized load balancer node pool, you can have worker nodes or control plane nodes build a load balancer node pool. In that case, they have additional prerequisites:

Machines are in the same Layer 2 subnet.
All VIPs are in the load balancer nodes subnet and routable from the gateway of the subnet.
The gateway of the load balancer subnet should listen to gratuitous ARPs to forward packets to the master load balancer.