How to use one external ip for multiple instances - networking

In GCloud we have one Kubernetes cluster with two nodes, it is possible to setup all nodes to get the same external IP? Now we are getting two external IP's.
Thank you in advance.

The short answer is no, you cannot assign the very same external IP to two nodes or two instances, but you can use the same IP to access them, for example through a LoadBalancer.
The long answer
Depending on your scenario and the infrastructure you want to set up, several ways are available to expose different resources through the very same IP.
I do not know why you want to assign the same IP to the nodes, but since each node it is a Google Compute Engine instance you can set up a Load Balancer (TCP, SSL, HTTP(s), internal, ecc). In this way you reach the nodes as if they were not part of a Kubernetes cluster, basically you are treating them as Compute Engine instances and you will able to connect to any port they are listening on (for example an HTTP server or an external health check).
Notice that you will be not able to connect to the PODs in this way: the services and the containers are running in a separate software bases network and they will be not reachable if not properly set, for example with a NodePort.
On the other hand if you are interested in making your PODs running in two different kubernetes nodes reachable through a unique entry point you have to set up Kubernetes related ingress and load balancing to expose your services. This resources are based as well on the Google Cloud Platform Load Balancer components, but when created they trigger as well the required change to the Kubernetes Network.

Related

Does K8s run on plain Layer2 network infrastructure?

Does K8s run on a plain Layer2 network with no support for Layer3 routing stuff?!?
Im asking as I want to switch my K8s envirnoment from cloud VMs over to Bare Metal and Im not aware of the Privat-network Infrastrcture of the hoster ...
Kind regards and thanks in advance
Kubernetes will run on a more classic, statically defined network you would find on a private network (but does rely on layer 4 networking).
A clusters IP addressing and routing can be largely configured for you by one of the CNI plugins that creates an overlay network or can be configured statically with a bit more work (via kubenet/IPAM).
An overlay network can be setup with tools like Calico, Flannel or Weave that will manage all the routing in cluster as long as all the k8s nodes can route to each other, even over disparate networks. Kubespray is a good place to start with deploying clusters like this.
For a static network configuration, clusters will need permanent static routes added for all the networks kubernetes uses. The "magic" cloud providers and the overlay CNI plugins provide is to is to be able to route all those networks automatically. Each node will be assigned a Pod subnet and every node in the cluster will need to have a route to those IP's

Private connection between GKE and Compute Engine on Google Cloud

I have a compute engine instance with persistent file storage that I need outside of my GKE cluster.
I would like to open a specific TCP port on the Compute Engine instance so that only nodes within the GKE cluster can access it.
The Compute Engine instance and GKE cluster are in the same GCP project, network, and subnet.
The GKE cluster is not private and I have an ingress exposing the only service I want exposed to the internet.
I've tried creating firewall rules of three different types that do not work:
By shared service account on both Compute Engine instance and K8s nodes.
By network tags - (yes I am using the network tags as explicitly specified on the VM instance page).
By IP address, where I use network tag for target and private IANA IP ranges 10.0.0.0/8, 172.16.0.0/12, and 192.168.0.0/16 for source.
The only thing that works is the last option but using 0.0.0.0/0 for source IP range.
I've looked at a few related questions such as:
Google App Engine communicate with Compute Engine over internal network
Can I launch Google Container Engine (GKE) in Private GCP network Subnet?
But I'm not looking to make my GKE cluster private and I have tried to create the firewall rules using network tags to no avail.
What am I missing or is this not possible?
Not sure how I missed this, fairly certain I tried something similar a couple months back but must have had something else misconfigured.
On the GKE cluster Details page, there is a pod address range. Setting the firewall source range to GKE pod address range gave me the the desired outcome.

Network settings in Openstack with single OpenVPN connection

I'm trying to set up an Openstack environment with two Kubernetes clusters, one production and one testing. My idea was to separate them with two networks in Openstack and then have a VPN in front, to limit the exposure through floating ip:s (for this I would have a proxy that routes requests into the correct internal addresses).
However, issues arise when trying to tunnel requests to both networks when connected to the VPN. Either I choose to run the VPN in its own network or in one of the two, but I don't seem to be able to make requests across network boundaries.
Is there a better way to configure the networking in Openstack or OpenVPN, so that I can keep the clusters separated and still have access to all resources through one installation of OpenVPN?
Is it better to run everything in the same Openstack network and separate them with subnets? Can I still have the production and test cluster expose different IP-addresses externally? Are they still separated enough to limit the risk of them accessing each other?
Sidenote: I use Terraform to deploy the infrastructure and Ansible to install resources, if someone has suggestion in the line of already prepared scripts.
Thanks,
The solution I went for was to separate the environments with their own networks and cidr and then attach them to the VPN instance to let it get access to them. From there I just tunnel everything.

Does each pod/container in a Kubernetes cluster has a different external ip?

I created a cluster using Kubernetes and I want to make petitions to a server using different IP, does each of the nodes has a different one so that I can parallelize the requests? Thanks
to make calls to your pods you should use kubernetes services which effectively loadbalance requests between your pods, so that you do not need to worry about particular IPs of PODs at all.
That said, each pod has it's unique IP address, but these are internal addresses, in most implementations they come from the overlay network and are, in a way, internal to kube cluster (can't be directly called from outside - which is not exactly the full truth, but close enough).
Depending on your goals, Ingress might be interesting for you.
https://kubernetes.io/docs/concepts/services-networking/service/
https://kubernetes.io/docs/concepts/services-networking/ingress/

Is there a way to rename network interfaces in Docker swarm?

When using Docker swarm mode and exposing ports outside, you have at least three networks, the ingress network, the bridge network and the overlay network (used for internal cluster communications). The container joins these networks using one of eth0-2 (randomically each time) interfaces and from an application point of view is not easy to understand which of these is the cluster network (the correct one to use for service discovery client publish - e.g Spring Eureka).
Is there a way to customize network interface names in some way?
Not a direct answer to your question, but one of the key selling points of swarm mode is the built-in service discovery mechanism, which in my opinion works really nicely.
More related, I don't think it's possible to specify the desired interface for an overlay network. However, when creating a network, it is possible to define the subnet or the IP range of the network (https://docs.docker.com/engine/reference/commandline/network_create/). You could use that to identify the interface belonging to your overlay network, by checking if the bound IP address is part of the network you want to publish on.

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