A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from http://cloud.google.com/kubernetes-engine/docs/concepts/alias-ips below:

VPC-native clusters | GKE networking

This page provides a general overview of VPC-native clusters in Google Kubernetes Engine (GKE).

This page is for Cloud architects and Networking specialists who design and architect the network for their organization. To learn more about common roles and example tasks that we reference in Google Cloud content, see Common GKE user roles and tasks.

Overview

In GKE, clusters can be distinguished according to the way they route traffic from one Pod to another Pod.

A cluster that uses alias IP address ranges is called a VPC-native cluster. A cluster that uses custom static routes in a VPC network is called a routes-based cluster.

Best practice:

Plan and design your cluster configuration with your organization's Network architects, Network administrators, or any other Network engineers team responsible for defining, implementing, and maintaining your network architecture.

Benefits of VPC-native clusters

VPC-native clusters have several benefits:

Default cluster network mode

VPC-native is the default network mode for all clusters in GKE versions 1.21.0-gke.1500 and later. For earlier versions, the default cluster network mode depends on how you create the cluster.

The following table lists the default cluster network mode for GKE cluster versions and cluster creation methods.

GKE versions Cluster creation method Cluster network mode All versions The Google Cloud console VPC-native 1.21.0-gke.1500 and later GKE API or Google Cloud CLI VPC-native

You can also create a routes-based cluster by specifying the --no-enable-ip-alias flag when you create the cluster.

IP address ranges for VPC-native clusters

When you create a VPC-native cluster, you specify a subnet in a VPC network. The cluster uses the following subnet IP address ranges:

IPv4 address allocation

VPC-native clusters allocate IPv4 addresses for nodes, Pods, and Services using distinct ranges within the specified subnet as follows.

IPv6 address allocation (dual-stack networking)

The following table provides a summary of IP address ranges for nodes, Pods, and Services:

Range Explanation Example Nodes

Node IP addresses are assigned from the primary IP address range of the subnet associated with your cluster.

Both node IP addresses and the size of the subnet's secondary IP address range for Pods limit the number of nodes that a cluster can support. Refer to node limiting ranges for more information.

If you plan to create a 900-node cluster, the primary IP address range of the cluster's subnet must be at least a /22 (2(32-22) = 210 = 1,024 addresses). Of those 1,024 addresses, 1,020 are usable because four IP addresses are reserved in every primary IP address range.

Refer to Subnet primary IP address range and Subnet secondary IP address range for Pods for more information.

Pods

Pod IP addresses are taken from the cluster subnet's secondary IP address range for Pods. Unless you set a different maximum number of Pods per node, GKE allocates a /24 alias IP range (256 addresses) to each node for the Pods running on it. On each node, those 256 alias IP addresses are used to support up to 110 Pods.

For a 900-node cluster supporting up to 110 Pods per node, you need 900 × 256 = 230,400 IP addresses for Pods. (Each node is allocated an alias IP range whose netmask's size is /24.) This cluster requires a subnet whose secondary IP range for Pods has a subnet mask no larger than /14. This secondary IP range provides 2(32-14) = 218 = 262,144 IP addresses for Pods.

Refer to Subnet secondary IP address range for Pods for more information.

Services

Service (cluster IP) addresses are taken from the cluster's subnet's secondary IP address range for Services. You must ensure this range is large enough to provide addresses for all the Kubernetes Services you host in your cluster.

In GKE Autopilot clusters running version 1.27 and later, and GKE Standard clusters running version 1.29 and later, GKE assigns IP addresses for GKE Services from a GKE-managed range: 34.118.224.0/20 by default. This eliminates the need for you to specify your own IP address range for Services. For details, see Subnet secondary IP address range for Services.

For a cluster that runs up to 3000 Services, you need 3000 cluster IP addresses. You need a secondary range of size /20 or larger. A /20 range of IP addresses results in 2(32-20) = 212 = 4,096 IP addresses.

Refer to Subnet secondary IP address range for Services for more information.

Internal IP addresses

The IP addresses you use for your VPC-native cluster's subnets must come from a valid subnet range. The valid ranges include private IP addresses (RFC 1918 and others) and privately used public IP addresses. See Valid ranges and Restricted ranges in the VPC documentation for more information about valid subnet ranges.

See Using non-RFC 1918 private IP address ranges for instructions on enabling the use of these ranges.

See Enable privately used public IP address ranges for instructions on the use of these ranges.

Secondary range assignment methods

You can assign Pod IP address ranges and Service (ClusterIP) address ranges to a VPC-native cluster. These IP address ranges can be managed by GKE or user-managed.

You must understand the following key terms to understand the secondary range assignment methods.

Assignment: assigning IP address ranges refers to the process of allocating a specific subnet range to a VPC-native cluster. This establishes a pool of IP addresses that the components can use within the cluster, such as Pods and Services.

Management: Managing the IP address range refers to the ongoing (creation, update, deletion, reading) CRUD operations at the cluster, node pool, or Pod level, related to the assigned subnet ranges and resource allocation within your VPC-native cluster.

GKE-managed secondary ranges (default)

For GKE Autopilot clusters running version 1.27 and later and GKE Standard clusters running versions 1.29 and later, GKE assigns IP addresses for Services from a GKE-managed range by default: 34.118.224.0/20. This eliminates the need for you to specify your own IP address range for Services. The following considerations apply:

User-managed

For full control over IP address allocation, you can manually manage your VPC-native cluster's subnets.

You can create the subnet's secondary IP address ranges, then create a cluster that uses those ranges. During cluster creation, specify the subnet range name for Pods and Services. If you manually create the secondary ranges, you must manage them yourself.

Caution: User-managed ranges lets you use smaller subnet secondary ranges than is possible when using ranges managed by GKE. Use caution when creating Pod address ranges smaller than a /21 as you could run out of Pod IP addresses as your cluster grows.

The smallest IP address range you can create without using discontiguous multi-Pod CIDR is /28, but that range would only let you create 1 node with a maximum of 8 Pods. You should use a range that is large enough for the maximum number of nodes that you need.

The minimum usable range also depends on the maximum number of Pods per Node.

Refer to the table in Optimizing IP address allocation for the minimum usable CIDR range for different values of maximum Pods per node.

If you exhaust your IP address range for Pods, you must do one of the following:

Differences with routes-based clusters

The allocation scheme for Pod and Service (ClusterIP) addresses is different than the scheme used by a routes-based cluster. Instead of specifying a single CIDR for Pods and Services together, you must choose or create two secondary IP address ranges in cluster's subnet: one for Pods and another for Services.

When creating a VPC-native cluster in a Shared VPC environment, a project owner, editor, or Identity and Access Management (IAM) principal with the Network Admin role in the Shared VPC host project must create the cluster's subnet and secondary IP address ranges manually. A service project admin who creates a cluster must at least have subnet-level permissions to the subnet in the Shared VPC network's host project.

In a Shared VPC environment, secondary IP address ranges cannot be managed by GKE. A Network Admin in the Shared VPC host project must create the subnet and secondary IP address ranges before you can create the cluster. For an example showing how to set up a VPC-native cluster in a Shared VPC network, refer to Setting up clusters with Shared VPC.

IP address range planning

Use the information in the following sections to help you calculate sizes for primary and secondary IP address ranges of the subnet used by your cluster.

Subnet primary IP address range

Consider the following conditions when planning your primary node IP address range:

The following table shows the maximum number of nodes you can create given the size of the subnet's primary IP address range and the cluster configuration:

Subnet primary IP range Scenario 1 Scenario 2 /29
Minimum size for a subnet's primary IP range 4 nodes 3 nodes /28 12 nodes 11 nodes /27 28 nodes 27 nodes /26 60 nodes 59 nodes /25 124 nodes 123 nodes /24 252 nodes 251 nodes /23 508 nodes 507 nodes /22 1,020 nodes 1,019 nodes /21 2,044 nodes 2,043 nodes /20
Default size of a subnet's primary IP range in auto mode networks 4,092 nodes 4,091 nodes /19 8,188 nodes 8,187 nodes /8
Maximum size for a subnet's primary IP range 16,777,212 nodes 16,777,211 nodes Expand the primary IP address range

If you run out of IP addresses in the primary IP address range, you can expand the primary IP address range at any time, even when Google Cloud resources, such as load balancers and network endpoint groups, use the subnet.

Before you expand the primary IP address range, consider the following:

Useful formulas

You can use the following formulas to:

In Private Service Connect clusters that don't use the private-endpoint-subnetwork flag, you can use the preceding formulas, but reduce the value of N by 1.

Subnet secondary IP address range for Pods

Carefully plan your secondary IP address range for Pods.

The following table shows the maximum number of nodes and Pods you can create in all clusters that use the subnet, given the size of the subnet's secondary IP address range used by Pods.

This table assumes the maximum number of Pods per node is 110, which is the default Pod density.

Subnet secondary IP range for Pods Maximum Pod IP addresses Maximum nodes Maximum Pods /24
Smallest possible Pod IP range when the secondary range assignment method is user-managed 256 addresses 1 node

Autopilot: 32 Pods

Standard: 110 Pods

/23
Only possible when the secondary range assignment method is user-managed 512 addresses 2 nodes

Autopilot: 64 Pods

Standard: 220 Pods

/22
Only possible when the secondary range assignment method is user-managed 1,024 addresses 4 nodes

Autopilot: 128 Pods

Standard: 440 Pods

/21
Smallest possible Pod IP range when the secondary range assignment method is managed by GKE 2,048 addresses 8 nodes

Autopilot: 256 Pods

Standard: 880 Pods

/20 4,096 addresses 16 nodes

Autopilot: 512 Pods

Standard: 1,760 Pods

/19 8,192 addresses 32 nodes

Autopilot: 1,024 Pods

Standard: 3,520 Pods

/18 16,384 addresses 64 nodes

Autopilot: 2,048 Pods

Standard: 7,040 Pods

/17 32,768 addresses 128 nodes

Autopilot: 4,096 Pods

Standard: 14,080 Pods

/16 65,536 addresses 256 nodes

Autopilot: 8,192 Pods

Standard: 28,160 Pods

/15 131,072 addresses 512 nodes

Autopilot: 16,384 Pods

Standard: 56,320 Pods

/14
Default size for the subnet's secondary IP address range for Pods when the secondary range assignment method is managed by GKE 262,144 addresses 1,024 nodes

Autopilot: 32,768 Pods

Standard: 112,640 Pods

/13 524,288 addresses 2,048 nodes

Autopilot: 65,536 Pods

Standard: 225,280 Pods

/12 1,048,576 addresses 4,096 nodes

Autopilot: 131,072 Pods

Standard: 450,560 Pods

/11 2,097,152 addresses 8,192 nodes

Autopilot: 262,144 Pods

Standard: 901,120 Pods

/10 4,194,304 addresses 16,384 nodes

Autopilot: 524,288 Pods

Standard: 1,802,240 Pods

/9
Largest possible Pod address range 8,388,608 addresses 32,768 nodes

Autopilot: 1,048,576 Pods

Standard: 3,604,480 Pods

If you have changed the maximum number of Pods per node, you can use the following formulas to calculate the maximum number of nodes and Pods that a subnet's secondary IP address range for Pods can support:

  1. Calculate the size of the netmask of each node's Pod range, M.
    M = 31 - ⌈log2(Q)⌉ where:

  2. Calculate the maximum number of nodes, N, that the subnet's secondary IP address range for Pods can support:
    N = 2(M - S) where:

  3. Calculate the maximum number of Pods, P, that the subnet's secondary IP address range for Pods can support:
    P = N × Q where:

You can add more IP addresses for Pods by using discontiguous multi-Pod CIDR.

Subnet secondary IP address range for Services

Carefully plan your secondary IP address range for Services. Because this is also a subnet secondary IP address range, this range cannot be changed once the cluster is created.

If you use multi-cluster services, the ServiceImport object uses IP addresses from the secondary IP address range for Services.

In GKE Autopilot clusters running version 1.27 and later and GKE Standard clusters running versions 1.29 and later, GKE assigns IP addresses for Services from a GKE-managed range by default: 34.118.224.0/20. This eliminates the need for you to specify your own IP address range for Services. The following considerations apply:

The following table shows the maximum number of Services you can create in a single cluster using the subnet, given the size of the subnet's secondary IP address range for Services.

Sharing IP address ranges across GKE clusters

You can share the primary range, secondary IP address range for Pods, and secondary IP address range for Services between clusters in the same subnetwork. This behavior is available for both Standard and Autopilot clusters.

You might want to share IP address ranges if you have a centralized team that is managing the infrastructure for clusters. You can reduce overhead by creating three ranges, for Pods, Services and nodes, and reusing or sharing them, especially in a Shared VPC model. It can also make it easier for network administrators to manage IP addresses by not requiring them to create specific subnets for each cluster.

Sharing the customized subnet range for the control plane

By default, GKE uses the primary subnet range to provision the internal endpoint of the control plane. However, in clusters with Private Service Connect, you can configure GKE to provision the internal endpoint from a different subnet that you created. You can share this subnet among other clusters, or across projects if you are using Shared VPC.

Sharing the primary IP address range for nodes

If you create more than one cluster in the subnet, the primary IP address range for nodes is shared by default.

Sharing the primary IP address for nodes has the following limitations:

When you share the secondary range for Pods, each Pod still gets a unique IP address.

Note: Among the different types of secondary ranges, the additional Pod ranges are not shareable across clusters.

Sharing the secondary IP address range for Pods has the following limitations:

Two or more clusters can simultaneously use the same subnet secondary IPv4 address range for Services when you use user-managed secondary ranges.

To configure two or more clusters to share a common subnet secondary IPv4 address range for Services, use the same subnet secondary IPv4 address range when you create each cluster. There is no separate configuration flag required to share a common IPv4 address range for Services.

When sharing a common IPv4 address range for Services, each cluster uses the entire subnet secondary IPv4 address range for Services internally. The IP addresses for Services are programmed within each cluster's node, but they are not assigned to the network interface of any node. Service IP addresses are not routable within the cluster's VPC network. Service IP addresses are only usable by client Pods within the same cluster as the Service.

When a Pod sends a packet to a Service IP address, the iptables or eBPF configuration on the node performs destination Network Address Translation (NAT), changing the destination IP address of the packet from the Service IP address to a serving Pod IP address. The packet is routed based on the destination Pod IP address.

Sharing the secondary IP address range for Services provides the following benefits:

Sharing the secondary IP address range for Services has the following limitations:

Node limiting ranges

The maximum number of Pods and Services for a given GKE cluster is limited by the size of the cluster's secondary ranges. The maximum number of nodes in the cluster is limited by the size of the cluster's subnet's primary IP address range and the cluster's Pod address range.

The following error message indicates that either the subnet's primary IP address range or the cluster's Pod IP address range (the subnet's secondary IP address range for Pods) has been exhausted:

Instance [node name] creation failed: IP space of [cluster subnet] is
exhausted

You can add more IP addresses for nodes by expanding the primary subnet, or add new IP addresses for Pods using discontiguous multi-Pod CIDR. For more information, see Not enough free IP address space for Pods.

IPv4/IPv6 dual-stack networking

With IPv4/IPv6 dual-stack networking, you can define how GKE allocates IP addresses (ipFamilies) to the following objects:

In GKE version 1.24 or later, you can enable dual-stack networking for new GKE clusters on standalone and Shared VPC networks. You can also apply network policies with dual-stack networking enabled. If you see validation errors when enabling dual-stack networking on GKE clusters that have been upgraded from versions 1.24 to versions 1.25 or 1.26, contact the Google Cloud support team.

Note: You can configure your cluster to have nodes with internal (private) or external (public) access by using the enable-private-nodes flag. The enable-private-nodes flag only affects the IPv4 address of the nodes in your cluster. Therefore, this flag doesn't affect the configuration of the IPv4/IPv6 dual-stack networking that you define in this section. Benefits

Dual-stack networking provides the following benefits:

Availability

Dual-stack networking with GKE has the following restrictions:

Consider the preceding restrictions before creating a cluster with dual-stack networking. For more information, learn how to create a VPC-native cluster with dual-stack networking.

Public and Private IPv6 address assignment

The following table provides a summary of public and private IPv6 addresses with dual-stack networking behavior and configurations:

ipv6-access-type flag IP address assignment Subnet range EXTERNAL

GKE assigns external IPv6 addresses that are routable to the internet.

From 2600:1900/28 INTERNAL

GKE assigns internal IPv6 addresses that are not routable to the internet.

Clusters with INTERNAL IPv6 access type cannot access the internet over IPv6 addresses. Cloud NAT does not support IPv6 addresses.

From fd20::/20 (which is a subset of the overall ULA range: fc00::/7).

To learn more, see how to use a dual-stack network for a VPC-native cluster.

Architecture

A cluster with IPv4/IPv6 dual-stack networking has the following ranges allocated:

The following diagram shows how Google Cloud and GKE allocate IPv6 addresses:

In the diagram, the primary range of the VPC subnet is 2600:1900:0:1::/64 and the reserved range for GKE Services is 2600:2D00:0:4::0:0/64. Each node in the cluster has a /96 range for the primary node IP address range and a /112 range for the Pod IP address range. The cluster also has a /112 secondary Services IP address range.

Note: GKE automatically selects the IPv6 IP address range for the Pod IP address range and the secondary Services IP address range. Services

You can create an IPv4/IPv6 dual-stack Service of type ClusterIP or NodePort. New GKE clusters running version 1.29 or later support dual-stack Services of type LoadBalancer.

You can expose a Deployment with a Service of type ClusterIP, NodePort, or LoadBalancer. For each of these Service types, you can define ipFamilies and ipFamilyPolicy fields as either IPv4, IPv6, or a dual-stack Service. For more information, see an example of how to set up a Deployment.

What's next

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4