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Blog: Kubernetes v1.26: Advancements in Kubernetes Traffic Engineering
Signed-off-by: Andrew Sy Kim <[email protected]>
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--- | ||
layout: blog | ||
title: "Kubernetes v1.26: Advancements in Kubernetes Traffic Engineering" | ||
date: 2022-11-28 | ||
slug: advancements-in-kubernetes-traffic-engineering | ||
--- | ||
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**Authors:** Andrew Sy Kim (Google) | ||
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Kubernetes v1.26 includes significant advancements in network traffic engineering with the graduation of | ||
two features (Service internal traffic policy support, and EndpointSlice terminating conditions) to GA, | ||
and a third feature (Proxy terminating endpoints) to beta. The combination of these enhancements aims | ||
to address short-comings in traffic engineering that people face today, and unlock new capabilities for the future. | ||
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## Traffic Loss from Load Balancers During Rolling Updates | ||
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Prior to Kubernetes v1.26, clusters could experience [loss of traffic](https://github.com/kubernetes/kubernetes/issues/85643) | ||
from Service load balancers during rolling updates when setting the `externalTrafficPolicy` field to `Local`. | ||
There are a lot of moving parts at play here so a quick overview of how Kubernetes manages load balancers might help! | ||
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In Kubernetes, you can create a Service with `type: LoadBalancer` to expose an application externally with a load balancer. | ||
The load balancer implementation varies between clusters and platforms, but the Service provides a generic abstraction | ||
representing the load balancer that is consistent across all Kubernetes installations. | ||
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```yaml | ||
apiVersion: v1 | ||
kind: Service | ||
metadata: | ||
name: my-service | ||
spec: | ||
selector: | ||
app.kubernetes.io/name: my-app | ||
ports: | ||
- protocol: TCP | ||
port: 80 | ||
targetPort: 9376 | ||
type: LoadBalancer | ||
``` | ||
Under the hood, Kubernetes allocates a NodePort for the Service, which is then used by kube-proxy to provide a | ||
network data path from the NodePort to the Pod. A controller will then add all available Nodes in the cluster | ||
to the load balancer’s backend pool, using the designated NodePort for the Service as the backend target port. | ||
{{< figure src="traffic-engineering-service-load-balancer.png" caption="Figure 1: Overview of Service load balancers" >}} | ||
Oftentimes it is beneficial to set `externalTrafficPolicy: Local` for Services, to avoid extra hops between | ||
Nodes that are not running healthy Pods backing that Service. When using `externalTrafficPolicy: Local`, | ||
an additional NodePort is allocated for health checking purposes, such that Nodes that do not contain healthy | ||
Pods are excluded from the backend pool for a load balancer. | ||
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{{< figure src="traffic-engineering-lb-healthy.png" caption="Figure 2: Load balancer traffic to a healthy Node, when externalTrafficPolicy is Local" >}} | ||
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One such scenario where traffic can be lost is when a Node loses all Pods for a Service, | ||
but the external load balancer has not probed the health check NodePort yet. The likelihood of this situation | ||
is largely dependent on the health checking interval configured on the load balancer. The larger the interval, | ||
the more likely this will happen, since the load balancer will continue to send traffic to a node | ||
even after kube-proxy has removed forwarding rules for that Service. This also occurrs when Pods start terminating | ||
during rolling updates. Since Kubernetes does not consider terminating Pods as “Ready”, traffic can be loss | ||
when there are only terminating Pods on any given Node during a rolling update. | ||
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{{< figure src="traffic-engineering-lb-without-proxy-terminating-endpoints.png" caption="Figure 3: Load balancer traffic to terminating endpoints, when externalTrafficPolicy is Local" >}} | ||
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Starting in Kubernetes v1.26, kube-proxy enables the `ProxyTerminatingEndpoints` feature by default, which | ||
adds automatic failover and routing to terminating endpoints in scenarios where the traffic would otherwise | ||
be dropped. More specifically, when there is a rolling update and a Node only contains terminating Pods, | ||
kube-proxy will route traffic to the terminating Pods based on their readiness. In addition, kube-proxy will | ||
actively fail the health check NodePort if there are only terminating Pods available. By doing so, | ||
kube-proxy alerts the external load balancer that new connections should not be sent to that Node but will | ||
gracefully handle requests for existing connections. | ||
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{{< figure src="traffic-engineering-lb-with-proxy-terminating-endpoints.png" caption="Figure 4: Load Balancer traffic to terminating endpoints with ProxyTerminatingEndpoints enabled, when externalTrafficPolicy is Local" >}} | ||
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### EndpointSlice Conditions | ||
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In order to support this new capability in kube-proxy, the EndpointSlice API introduced new conditions for endpoints: | ||
`serving` and `terminating`. | ||
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{{< figure src="endpointslice-overview.png" caption="Figure 5: Overview of EndpointSlice conditions" >}} | ||
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The `serving` condition is semantically identical to `ready`, except that it can be `true` or `false` | ||
while a Pod is terminating, unlike `ready` which will always be `false` for terminating Pods for compatibility reasons. | ||
The `terminating` condition is true for Pods undergoing termination (non-empty deletionTimestamp), false otherwise. | ||
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The addition of these two conditions enables consumers of this API to understand Pod states that were previously not possible. | ||
For example, we can now track "ready" and "not ready" Pods that are also terminating. | ||
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{{< figure src="endpointslice-with-terminating-pod.png" caption="Figure 6: EndpointSlice conditions with a terminating Pod" >}} | ||
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Consumers of the EndpointSlice API, such as Kube-proxy and Ingress Controllers, can now use these conditions to coordinate connection draining | ||
events, by continuing to forward traffic for existing connections but rerouting new connections to other non-terminating endpoints. | ||
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## Optimizing Internal Node-Local Traffic | ||
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Similar to how Services can set `externalTrafficPolicy: Local` to avoid extra hops for externally sourced traffic, Kubernetes | ||
now supports `internalTrafficPolicy: Local`, to enable the same optimization for traffic originating within the cluster, specifically | ||
for traffic using the Service Cluster IP as the destination address. This feature graduated to Beta in Kubernetes v1.24 and is graduating to GA in v1.26. | ||
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Services default the `internalTrafficPolicy` field to `Cluster`, where traffic is randomly distributed to all endpoints. | ||
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{{< figure src="service-internal-traffic-policy-cluster.png" caption="Figure 7: Service routing when internalTrafficPolicy is Cluster" >}} | ||
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When `internalTrafficPolicy` is set to `Local`, kube-proxy will forward internal traffic for a Service only if there is an available endpoint | ||
that is local to the same Node. | ||
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{{< figure src="service-internal-traffic-policy-local.png" caption="Figure 8: Service routing when internalTrafficPolicy is Local" >}} | ||
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{{< caution >}} | ||
When using `internalTrafficPoliy: Local`, traffic will be dropped by kube-proxy when no local endpoints are available. | ||
{{< /caution >}} | ||
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## Getting Involved | ||
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If you're interested in future discussions on Kubernetes traffic engineering, you can get involved in SIG Network through the following ways: | ||
* Slack: [#sig-network](https://kubernetes.slack.com/messages/sig-network) | ||
* [Mailing list](https://groups.google.com/forum/#!forum/kubernetes-sig-network) | ||
* [Open Community Issues/PRs](https://github.com/kubernetes/community/labels/sig%2Fnetwork) | ||
* [Biweekly meetings](https://github.com/kubernetes/community/tree/master/sig-network#meetings) |
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