Can someone tell me why the service hop won't become a single point of failure?
In Kubernete Service, I see an hop of Service between the client and Pods:
I guess all service's (let's say there are 5000 of services and each service has 3 Pods) routing info are stored in the IPTable of each node?
Kubernetes services connect a set of pods to an abstracted service name and IP address. Services provide discovery and routing between pods.
It depends upon the CNI which you are using and what type of network it will use. Every network plugin has a different approach for how a Pod IP address is assigned (IPAM), how iptables rules and cross-node networking are configured, and how routing information is exchanged between the nodes.
Related
I see in an article that I can access to pods from kubeproxy, so what is the role of kubernetes service here? and what is the difference between Kube Proxy and service? finally,
is kube proxy part of service?
As far as I understand:
Service is a Kubernetes object that has a stable name and stable IP and sits in front of a set of pods. All requests sent to the pods should go to the service.
Kube-proxy is a networking component running on every cluster node(basically its a Daemonset). It implements the low-level rules to allow communication to pods from inside as well as outside the Kubernetes Cluster. We can say that kube-proxy is a part of service.
So when a user tries to reach an application deployed on Kubernetes first it reaches the service and then forwards the request one of the underlying pods. This is done by using the rules that Kube proxy created.
For more understanding refer this video : Kube proxy & blog
Closer look at Kube proxy
From my understanding
If you are only accessing the pod ports inside the cluster, then there are no Service involved, as you need Service objects to expose your pods outside of your Cluster
Service exposes your pods outside of your Cluster. Service provides a stable virtual IP address. A controller keeps track of the pods that are associated with the Service. While kube-proxy is a daemon running on each node and watches the service resources defined in the cluster and manages the rules for the requests on a Service’s backend pods
kube-proxy interacts with the Service so kube-proxy can change the iptable rules when there are changes on Service objects. Hence they are separate entities.
We can discuss this for a while, but let's short a long story.
Requests come to Service
Then Service passes it to Kube-Proxy
Kube-Proxy decides to which Pod this request go
How requests are forwarded from Service to Pod
Kube Proxy forwards the request
Responsible for maintaining a list of Service IPs and corresponding Pod IPs
Check this section for more details...
I'm new in kubernetes.
We have 50 ip addresses and ip addresses have a request limit. The limit is a value kept in the database. We want load balancer to choose it based on the one that has the most limits in the database. Can Kubernetes do that?
Firstly I advice you to read official documentation about networking in Kubernetes - you can find it here: kubernetes-networking. Especially read about services. Original Load Balancer in Kubernetes never checks application-specific databases.
An abstract way to expose an application running on a set of
Pods as a network service. With Kubernetes you don't need to modify your application to use an unfamiliar service discovery mechanism. Kubernetes gives Pods their own IP addresses and a single DNS name for a set of Pods, and can
load-balance across them.
Example on service type clusterIP.
Kubernetes assigns a stable, reliable IP address to each newly-created
Service (the
ClusterIP) from the cluster's pool of available Service IP addresses. Kubernetes also assigns a hostname to the ClusterIP, by adding a DNS entry. The ClusterIP and hostname are unique within the cluster and do not change throughout the lifecycle of the Service. Kubernetes only
releases the ClusterIP and hostname if the Service is deleted from the cluster's configuration. You can reach a healthy Pod running your application using either the ClusterIP or the hostname of the Service.
Take a look how it looks in GKE: GKE-IP-allocation.
You can specify also your own cluster IP address as part of a
Service creation request - set the .spec.clusterIP field.
The IP address that you choose must be a valid IPv4 or IPv6 address from within the service-cluster-ip-range CIDR range that is configured for the API server. If you try to create a Service with an invalid clusterIP address value, the API server will return a 422 HTTP status code to indicate that there's a problem.
To sum up. Kubernetes load balancer never does deep dive into your app. To connect to your app you need to create service. Kubernetes assigns a stable, reliable IP address to each newly-created Service from which you can access your app within or from outside the cluster. You can also manually assign IP per service.
I have installed my kubernetes cluster on Jelastic. Now, I tried to define a service of LoadBalancer type and would like it to be provided with an external IP. The external IP is currently marked as pending. What should I do to make it non-pending? Do I have to provide the worker nodes with an external IPv4?
In my current setup, my worker nodes have no IPv4 because I put an nginx load-balancer in front of the cluster:
The IPv4 is set on the nginx node. Is that a problem? If I want to access my loadbalancer service inside of my kubernetes cluster, what should I do?
For LoadBalancer service type to work, the cloud provider must implemenet the relevant APIs to get it to work.
With regard to Jelastic, as per their docs, they don't support it https://docs.jelastic.com/kubernetes-exposing-services/:
Jelastic PaaS does not support the LocaBalancer service type currently.
In Jelastic Public IP addresses have to be attached to worker nodes.
Every worker node has ingress controller instance running (based oт nginx/haproxy/traefik) with http/https listeners that can forward traffic to the required service.
You have just to bind your domain as CNAME to Environment FQDN and every your worker node can accept requests in RR-DNS mode.
Does this scenario works for you or you have a specific requirement to use external load balancer?
By default, when Public IPs are not attached to worker instances the traffic is going through the Shared Load Balancer.
P.S. If you install Certification Manager Addon to your K8s cluster - you can also issue free Let's Encrypt certificates.
Hello I'm new to Istio and currently learning about Istio.
As per my understanding, Envoy proxy will resolve an IP address of destination instead of Kube DNS server. Envoy will send traffic directly to healthy pod based on information which received from control pane.
So... Does Kubernetes service required to setup, if I'm using Istio?
Correct me if I'm wrong.
Thanks!
From the docs
In order to direct traffic within your mesh, Istio needs to know where
all your endpoints are, and which services they belong to. To populate
its own service registry, Istio connects to a service discovery
system. For example, if you’ve installed Istio on a Kubernetes
cluster, then Istio automatically detects the services and endpoints
in that cluster.
So Kubernetes service is needed for istio to achieve service discovery i.e to know the POD IPs. But kubernetes service(L4) is not used for load balancing and routing traffic because L7 envoy proxy does that in istio.
From the docs.
A pod must belong to at least one Kubernetes service even if the pod
does NOT expose any port. If a pod belongs to multiple Kubernetes
services, the services cannot use the same port number for different
protocols, for instance HTTP and TCP.
I have a question related to Kubernetes networking.
I have a microservice (say numcruncherpod) running in a pod which is serving requests via port 9000, and I have created a corresponding Service of type NodePort (numcrunchersvc) and node port which this service is exposed is 30900.
My cluster has 3 nodes with following IPs:
192.168.201.70,
192.168.201.71
192.168.201.72
I will be routing the traffic to my cluster via reverse proxy (nginx). As I understand in nginx I need to specify IPs of all these cluster nodes to route the traffic to the cluster, is my understanding correct ?
My worry is since nginx won't have knowledge of cluster it might not be a good judge to decide the cluster node to which the traffic should be sent to. So is there a better way to route the traffic to my kubernetes cluster ?
PS: I am not running the cluster on any cloud platform.
This answer is a little late, and a little long, so I ask for forgiveness before I begin. :)
For people not running kubernetes clusters on Cloud Providers there are 4 distinct options for exposing services running inside the cluster to the world outside.
Service of type: NodePort. This is the simplest and default. Kubernetes assigns a random port to your service. Every node in the cluster listens for traffic to this particular port and then forwards that traffic to any one of the pods backing that service. This is usually handled by kube-proxy, which leverages iptables and load balances using a round-robin strategy. Typically since the UX for this setup is not pretty, people often add an external "proxy" server, such as HAProxy, Nginx or httpd to listen to traffic on a single IP and forward it to one of these backends. This is the setup you, OP, described.
A step up from this would be using a Service of type: ExternalIP. This is identical to the NodePort service, except it also gets kubernetes to add an additional rule on all kubernetes nodes that says "All traffic that arrives for destination IP == must also be forwarded to the pods". This basically allows you to specify any arbitrary IP as the "external IP" for the service. As long as traffic destined for that IP reaches one of the nodes in the cluster, it will be routed to the correct pod. Getting that traffic to any of the nodes however, is your responsibility as the cluster administrator. The advantage here is that you no longer have to run an haproxy/nginx setup, if you specify the IP of one of the physical interfaces of one of your nodes (for example one of your master nodes). Additionally you cut down the number of hops by one.
Service of type: LoadBalancer. This service type brings baremetal clusters at parity with cloud providers. A fully functioning loadbalancer provider is able to select IP from a pre-defined pool, automatically assign it to your service and advertise it to the network, assuming it is configured correctly. This is the most "seamless" experience you'll have when it comes to kubernetes networking on baremetal. Most of LoadBalancer provider implementations use BGP to talk and advertise to an upstream L3 router. Metallb and kube-router are the two FOSS projects that fit this niche.
Kubernetes Ingress. If your requirement is limited to L7 applications, such as REST APIs, HTTP microservices etc. You can setup a single Ingress provider (nginx is one such provider) and then configure ingress resources for all your microservices, instead of service resources. You deploy your ingress provider and make sure it has an externally available and routable IP (you can pin it to a master node, and use the physical interface IP for that node for example). The advantage of using ingress over services is that ingress objects understand HTTP mircoservices natively and you can do smarter health checking, routing and management.
Often people combine one of (1), (2), (3) with (4), since the first 3 are L4 (TCP/UDP) and (4) is L7. So things like URL path/Domain based routing, SSL Termination etc is handled by the ingress provider and the IP lifecycle management and routing is taken care of by the service layer.
For your use case, the ideal setup would involve:
A deployment for your microservice, with health endpoints on your pod
An Ingress provider, so that you can tweak/customize your routing/load-balancing as well as use for SSL termination, domain matching etc.
(optional): Use a LoadBalancer provider to front your Ingress provider, so that you don't have to manually configure your Ingress's networking.
Correct. You can route traffic to any or all of the K8 minions. The K8 network layer will forward to the appropriate minion if necessary.
If you are running only a single pod for example, nginx will most likely round-robin the requests. When the requests hit a minion which does not have the pod running on it, the request will be forwarded to the minion that does have the pod running.
If you run 3 pods, one on each minion, the request will be handled by whatever minion gets the request from nginx.
If you run more than one pod on each minion, the requests will be round-robin to each minion, and then round-robin to each pod on that minion.