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Co-authored-by: Anastasiya Kulyk <nastya.kulyk@gmail.com>
Co-Authored-By: Maksym Vlasov <MaxymVlasov@users.noreply.github.com>
Co-authored-by: Oleg Butuzov <butuzov@users.noreply.github.com>
This commit is contained in:
Maksym Vlasov
2020-03-31 21:14:44 +03:00
committed by GitHub
parent 7bd5562d2b
commit 56c18bcc08
80 changed files with 9640 additions and 2 deletions
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---
title: "Сервіси, балансування навантаження та мережа"
weight: 60
---
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---
reviewers:
- lachie83
- khenidak
- aramase
title: IPv4/IPv6 dual-stack
feature:
title: Подвійний стек IPv4/IPv6
description: >
Призначення IPv4- та IPv6-адрес подам і сервісам.
content_template: templates/concept
weight: 70
---
{{% capture overview %}}
{{< feature-state for_k8s_version="v1.16" state="alpha" >}}
IPv4/IPv6 dual-stack enables the allocation of both IPv4 and IPv6 addresses to {{< glossary_tooltip text="Pods" term_id="pod" >}} and {{< glossary_tooltip text="Services" term_id="service" >}}.
If you enable IPv4/IPv6 dual-stack networking for your Kubernetes cluster, the cluster will support the simultaneous assignment of both IPv4 and IPv6 addresses.
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## Supported Features
Enabling IPv4/IPv6 dual-stack on your Kubernetes cluster provides the following features:
* Dual-stack Pod networking (a single IPv4 and IPv6 address assignment per Pod)
* IPv4 and IPv6 enabled Services (each Service must be for a single address family)
* Pod off-cluster egress routing (eg. the Internet) via both IPv4 and IPv6 interfaces
## Prerequisites
The following prerequisites are needed in order to utilize IPv4/IPv6 dual-stack Kubernetes clusters:
* Kubernetes 1.16 or later
* Provider support for dual-stack networking (Cloud provider or otherwise must be able to provide Kubernetes nodes with routable IPv4/IPv6 network interfaces)
* A network plugin that supports dual-stack (such as Kubenet or Calico)
* Kube-proxy running in mode IPVS
## Enable IPv4/IPv6 dual-stack
To enable IPv4/IPv6 dual-stack, enable the `IPv6DualStack` [feature gate](/docs/reference/command-line-tools-reference/feature-gates/) for the relevant components of your cluster, and set dual-stack cluster network assignments:
* kube-controller-manager:
* `--feature-gates="IPv6DualStack=true"`
* `--cluster-cidr=<IPv4 CIDR>,<IPv6 CIDR>` eg. `--cluster-cidr=10.244.0.0/16,fc00::/24`
* `--service-cluster-ip-range=<IPv4 CIDR>,<IPv6 CIDR>`
* `--node-cidr-mask-size-ipv4|--node-cidr-mask-size-ipv6` defaults to /24 for IPv4 and /64 for IPv6
* kubelet:
* `--feature-gates="IPv6DualStack=true"`
* kube-proxy:
* `--proxy-mode=ipvs`
* `--cluster-cidrs=<IPv4 CIDR>,<IPv6 CIDR>`
* `--feature-gates="IPv6DualStack=true"`
{{< caution >}}
If you specify an IPv6 address block larger than a /24 via `--cluster-cidr` on the command line, that assignment will fail.
{{< /caution >}}
## Services
If your cluster has IPv4/IPv6 dual-stack networking enabled, you can create {{< glossary_tooltip text="Services" term_id="service" >}} with either an IPv4 or an IPv6 address. You can choose the address family for the Service's cluster IP by setting a field, `.spec.ipFamily`, on that Service.
You can only set this field when creating a new Service. Setting the `.spec.ipFamily` field is optional and should only be used if you plan to enable IPv4 and IPv6 {{< glossary_tooltip text="Services" term_id="service" >}} and {{< glossary_tooltip text="Ingresses" term_id="ingress" >}} on your cluster. The configuration of this field not a requirement for [egress](#egress-traffic) traffic.
{{< note >}}
The default address family for your cluster is the address family of the first service cluster IP range configured via the `--service-cluster-ip-range` flag to the kube-controller-manager.
{{< /note >}}
You can set `.spec.ipFamily` to either:
* `IPv4`: The API server will assign an IP from a `service-cluster-ip-range` that is `ipv4`
* `IPv6`: The API server will assign an IP from a `service-cluster-ip-range` that is `ipv6`
The following Service specification does not include the `ipFamily` field. Kubernetes will assign an IP address (also known as a "cluster IP") from the first configured `service-cluster-ip-range` to this Service.
{{< codenew file="service/networking/dual-stack-default-svc.yaml" >}}
The following Service specification includes the `ipFamily` field. Kubernetes will assign an IPv6 address (also known as a "cluster IP") from the configured `service-cluster-ip-range` to this Service.
{{< codenew file="service/networking/dual-stack-ipv6-svc.yaml" >}}
For comparison, the following Service specification will be assigned an IPv4 address (also known as a "cluster IP") from the configured `service-cluster-ip-range` to this Service.
{{< codenew file="service/networking/dual-stack-ipv4-svc.yaml" >}}
### Type LoadBalancer
On cloud providers which support IPv6 enabled external load balancers, setting the `type` field to `LoadBalancer` in additional to setting `ipFamily` field to `IPv6` provisions a cloud load balancer for your Service.
## Egress Traffic
The use of publicly routable and non-publicly routable IPv6 address blocks is acceptable provided the underlying {{< glossary_tooltip text="CNI" term_id="cni" >}} provider is able to implement the transport. If you have a Pod that uses non-publicly routable IPv6 and want that Pod to reach off-cluster destinations (eg. the public Internet), you must set up IP masquerading for the egress traffic and any replies. The [ip-masq-agent](https://github.com/kubernetes-incubator/ip-masq-agent) is dual-stack aware, so you can use ip-masq-agent for IP masquerading on dual-stack clusters.
## Known Issues
* Kubenet forces IPv4,IPv6 positional reporting of IPs (--cluster-cidr)
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* [Validate IPv4/IPv6 dual-stack](/docs/tasks/network/validate-dual-stack) networking
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---
reviewers:
- freehan
title: EndpointSlices
feature:
title: EndpointSlices
description: >
Динамічне відстеження мережевих вузлів у кластері Kubernetes.
content_template: templates/concept
weight: 10
---
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{{< feature-state for_k8s_version="v1.17" state="beta" >}}
_EndpointSlices_ provide a simple way to track network endpoints within a
Kubernetes cluster. They offer a more scalable and extensible alternative to
Endpoints.
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## EndpointSlice resources {#endpointslice-resource}
In Kubernetes, an EndpointSlice contains references to a set of network
endpoints. The EndpointSlice controller automatically creates EndpointSlices
for a Kubernetes Service when a {{< glossary_tooltip text="selector"
term_id="selector" >}} is specified. These EndpointSlices will include
references to any Pods that match the Service selector. EndpointSlices group
network endpoints together by unique Service and Port combinations.
As an example, here's a sample EndpointSlice resource for the `example`
Kubernetes Service.
```yaml
apiVersion: discovery.k8s.io/v1beta1
kind: EndpointSlice
metadata:
name: example-abc
labels:
kubernetes.io/service-name: example
addressType: IPv4
ports:
- name: http
protocol: TCP
port: 80
endpoints:
- addresses:
- "10.1.2.3"
conditions:
ready: true
hostname: pod-1
topology:
kubernetes.io/hostname: node-1
topology.kubernetes.io/zone: us-west2-a
```
By default, EndpointSlices managed by the EndpointSlice controller will have no
more than 100 endpoints each. Below this scale, EndpointSlices should map 1:1
with Endpoints and Services and have similar performance.
EndpointSlices can act as the source of truth for kube-proxy when it comes to
how to route internal traffic. When enabled, they should provide a performance
improvement for services with large numbers of endpoints.
### Address Types
EndpointSlices support three address types:
* IPv4
* IPv6
* FQDN (Fully Qualified Domain Name)
### Topology
Each endpoint within an EndpointSlice can contain relevant topology information.
This is used to indicate where an endpoint is, containing information about the
corresponding Node, zone, and region. When the values are available, the
following Topology labels will be set by the EndpointSlice controller:
* `kubernetes.io/hostname` - The name of the Node this endpoint is on.
* `topology.kubernetes.io/zone` - The zone this endpoint is in.
* `topology.kubernetes.io/region` - The region this endpoint is in.
The values of these labels are derived from resources associated with each
endpoint in a slice. The hostname label represents the value of the NodeName
field on the corresponding Pod. The zone and region labels represent the value
of the labels with the same names on the corresponding Node.
### Management
By default, EndpointSlices are created and managed by the EndpointSlice
controller. There are a variety of other use cases for EndpointSlices, such as
service mesh implementations, that could result in other entities or controllers
managing additional sets of EndpointSlices. To ensure that multiple entities can
manage EndpointSlices without interfering with each other, a
`endpointslice.kubernetes.io/managed-by` label is used to indicate the entity
managing an EndpointSlice. The EndpointSlice controller sets
`endpointslice-controller.k8s.io` as the value for this label on all
EndpointSlices it manages. Other entities managing EndpointSlices should also
set a unique value for this label.
### Ownership
In most use cases, EndpointSlices will be owned by the Service that it tracks
endpoints for. This is indicated by an owner reference on each EndpointSlice as
well as a `kubernetes.io/service-name` label that enables simple lookups of all
EndpointSlices belonging to a Service.
## EndpointSlice Controller
The EndpointSlice controller watches Services and Pods to ensure corresponding
EndpointSlices are up to date. The controller will manage EndpointSlices for
every Service with a selector specified. These will represent the IPs of Pods
matching the Service selector.
### Size of EndpointSlices
By default, EndpointSlices are limited to a size of 100 endpoints each. You can
configure this with the `--max-endpoints-per-slice` {{< glossary_tooltip
text="kube-controller-manager" term_id="kube-controller-manager" >}} flag up to
a maximum of 1000.
### Distribution of EndpointSlices
Each EndpointSlice has a set of ports that applies to all endpoints within the
resource. When named ports are used for a Service, Pods may end up with
different target port numbers for the same named port, requiring different
EndpointSlices. This is similar to the logic behind how subsets are grouped
with Endpoints.
The controller tries to fill EndpointSlices as full as possible, but does not
actively rebalance them. The logic of the controller is fairly straightforward:
1. Iterate through existing EndpointSlices, remove endpoints that are no longer
desired and update matching endpoints that have changed.
2. Iterate through EndpointSlices that have been modified in the first step and
fill them up with any new endpoints needed.
3. If there's still new endpoints left to add, try to fit them into a previously
unchanged slice and/or create new ones.
Importantly, the third step prioritizes limiting EndpointSlice updates over a
perfectly full distribution of EndpointSlices. As an example, if there are 10
new endpoints to add and 2 EndpointSlices with room for 5 more endpoints each,
this approach will create a new EndpointSlice instead of filling up the 2
existing EndpointSlices. In other words, a single EndpointSlice creation is
preferrable to multiple EndpointSlice updates.
With kube-proxy running on each Node and watching EndpointSlices, every change
to an EndpointSlice becomes relatively expensive since it will be transmitted to
every Node in the cluster. This approach is intended to limit the number of
changes that need to be sent to every Node, even if it may result with multiple
EndpointSlices that are not full.
In practice, this less than ideal distribution should be rare. Most changes
processed by the EndpointSlice controller will be small enough to fit in an
existing EndpointSlice, and if not, a new EndpointSlice is likely going to be
necessary soon anyway. Rolling updates of Deployments also provide a natural
repacking of EndpointSlices with all pods and their corresponding endpoints
getting replaced.
## Motivation
The Endpoints API has provided a simple and straightforward way of
tracking network endpoints in Kubernetes. Unfortunately as Kubernetes clusters
and Services have gotten larger, limitations of that API became more visible.
Most notably, those included challenges with scaling to larger numbers of
network endpoints.
Since all network endpoints for a Service were stored in a single Endpoints
resource, those resources could get quite large. That affected the performance
of Kubernetes components (notably the master control plane) and resulted in
significant amounts of network traffic and processing when Endpoints changed.
EndpointSlices help you mitigate those issues as well as provide an extensible
platform for additional features such as topological routing.
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* [Enabling EndpointSlices](/docs/tasks/administer-cluster/enabling-endpointslices)
* Read [Connecting Applications with Services](/docs/concepts/services-networking/connect-applications-service/)
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---
reviewers:
- johnbelamaric
- imroc
title: Service Topology
feature:
title: Топологія Сервісів
description: >
Маршрутизація трафіка Сервісом відповідно до топології кластера.
content_template: templates/concept
weight: 10
---
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{{< feature-state for_k8s_version="v1.17" state="alpha" >}}
_Service Topology_ enables a service to route traffic based upon the Node
topology of the cluster. For example, a service can specify that traffic be
preferentially routed to endpoints that are on the same Node as the client, or
in the same availability zone.
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## Introduction
By default, traffic sent to a `ClusterIP` or `NodePort` Service may be routed to
any backend address for the Service. Since Kubernetes 1.7 it has been possible
to route "external" traffic to the Pods running on the Node that received the
traffic, but this is not supported for `ClusterIP` Services, and more complex
topologies &mdash; such as routing zonally &mdash; have not been possible. The
_Service Topology_ feature resolves this by allowing the Service creator to
define a policy for routing traffic based upon the Node labels for the
originating and destination Nodes.
By using Node label matching between the source and destination, the operator
may designate groups of Nodes that are "closer" and "farther" from one another,
using whatever metric makes sense for that operator's requirements. For many
operators in public clouds, for example, there is a preference to keep service
traffic within the same zone, because interzonal traffic has a cost associated
with it, while intrazonal traffic does not. Other common needs include being able
to route traffic to a local Pod managed by a DaemonSet, or keeping traffic to
Nodes connected to the same top-of-rack switch for the lowest latency.
## Prerequisites
The following prerequisites are needed in order to enable topology aware service
routing:
* Kubernetes 1.17 or later
* Kube-proxy running in iptables mode or IPVS mode
* Enable [Endpoint Slices](/docs/concepts/services-networking/endpoint-slices/)
## Enable Service Topology
To enable service topology, enable the `ServiceTopology` feature gate for
kube-apiserver and kube-proxy:
```
--feature-gates="ServiceTopology=true"
```
## Using Service Topology
If your cluster has Service Topology enabled, you can control Service traffic
routing by specifying the `topologyKeys` field on the Service spec. This field
is a preference-order list of Node labels which will be used to sort endpoints
when accessing this Service. Traffic will be directed to a Node whose value for
the first label matches the originating Node's value for that label. If there is
no backend for the Service on a matching Node, then the second label will be
considered, and so forth, until no labels remain.
If no match is found, the traffic will be rejected, just as if there were no
backends for the Service at all. That is, endpoints are chosen based on the first
topology key with available backends. If this field is specified and all entries
have no backends that match the topology of the client, the service has no
backends for that client and connections should fail. The special value `"*"` may
be used to mean "any topology". This catch-all value, if used, only makes sense
as the last value in the list.
If `topologyKeys` is not specified or empty, no topology constraints will be applied.
Consider a cluster with Nodes that are labeled with their hostname, zone name,
and region name. Then you can set the `topologyKeys` values of a service to direct
traffic as follows.
* Only to endpoints on the same node, failing if no endpoint exists on the node:
`["kubernetes.io/hostname"]`.
* Preferentially to endpoints on the same node, falling back to endpoints in the
same zone, followed by the same region, and failing otherwise: `["kubernetes.io/hostname",
"topology.kubernetes.io/zone", "topology.kubernetes.io/region"]`.
This may be useful, for example, in cases where data locality is critical.
* Preferentially to the same zone, but fallback on any available endpoint if
none are available within this zone:
`["topology.kubernetes.io/zone", "*"]`.
## Constraints
* Service topology is not compatible with `externalTrafficPolicy=Local`, and
therefore a Service cannot use both of these features. It is possible to use
both features in the same cluster on different Services, just not on the same
Service.
* Valid topology keys are currently limited to `kubernetes.io/hostname`,
`topology.kubernetes.io/zone`, and `topology.kubernetes.io/region`, but will
be generalized to other node labels in the future.
* Topology keys must be valid label keys and at most 16 keys may be specified.
* The catch-all value, `"*"`, must be the last value in the topology keys, if
it is used.
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* Read about [enabling Service Topology](/docs/tasks/administer-cluster/enabling-service-topology)
* Read [Connecting Applications with Services](/docs/concepts/services-networking/connect-applications-service/)
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