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container.training/slides/k8s/kubectlexpose.md
2020-03-31 09:09:24 -05:00

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# Exposing containers
- We can connect to our pods using their IP address
- Then we need to figure out a lot of things:
- how do we look up the IP address of the pod(s)?
- how do we connect from outside the cluster?
- how do we load balance traffic?
- what if a pod fails?
- Kubernetes has a resource type named *Service*
- Services address all these questions!
---
## Services in a nutshell
- Services give us a *stable endpoint* to connect to a pod or a group of pods
- An easy way to create a service is to use `kubectl expose`
- If we have a deployment named `my-little-deploy`, we can run:
`kubectl expose deployment my-little-deploy --port=80`
... and this will create a service with the same name (`my-little-deploy`)
- Services are automatically added to an internal DNS zone
(in the example above, our code can now connect to http://my-little-deploy/)
---
## Advantages of services
- We don't need to look up the IP address of the pod(s)
(we resolve the IP address of the service using DNS)
- There are multiple service types; some of them allow external traffic
(e.g. `LoadBalancer` and `NodePort`)
- Services provide load balancing
(for both internal and external traffic)
- Service addresses are independent from pods' addresses
(when a pod fails, the service seamlessly sends traffic to its replacement)
---
## Many kinds and flavors of service
- There are different types of services:
`ClusterIP`, `NodePort`, `LoadBalancer`, `ExternalName`
- There are also *headless services*
- Services can also have optional *external IPs*
- There is also another resource type called *Ingress*
(specifically for HTTP services)
- Wow, that's a lot! Let's start with the basics ...
---
## `ClusterIP`
- It's the default service type
- A virtual IP address is allocated for the service
(in an internal, private range; e.g. 10.96.0.0/12)
- This IP address is reachable only from within the cluster (nodes and pods)
- Our code can connect to the service using the original port number
- Perfect for internal communication, within the cluster
---
## `LoadBalancer`
- An external load balancer is allocated for the service
(typically a cloud load balancer, e.g. ELB on AWS, GLB on GCE ...)
- This is available only when the underlying infrastructure provides some kind of
"load balancer as a service"
- Each service of that type will typically cost a little bit of money
(e.g. a few cents per hour on AWS or GCE)
- Ideally, traffic would flow directly from the load balancer to the pods
- In practice, it will often flow through a `NodePort` first
---
## `NodePort`
- A port number is allocated for the service
(by default, in the 30000-32767 range)
- That port is made available *on all our nodes* and anybody can connect to it
(we can connect to any node on that port to reach the service)
- Our code needs to be changed to connect to that new port number
- Under the hood: `kube-proxy` sets up a bunch of `iptables` rules on our nodes
- Sometimes, it's the only available option for external traffic
(e.g. most clusters deployed with kubeadm or on-premises)
---
## Running containers with open ports
- Since `ping` doesn't have anything to connect to, we'll have to run something else
- We could use the `nginx` official image, but ...
... we wouldn't be able to tell the backends from each other!
- We are going to use `jpetazzo/httpenv`, a tiny HTTP server written in Go
- `jpetazzo/httpenv` listens on port 8888
- It serves its environment variables in JSON format
- The environment variables will include `HOSTNAME`, which will be the pod name
(and therefore, will be different on each backend)
---
## Creating a deployment for our HTTP server
- We will create a deployment with `kubectl create deployment`
- Then we will scale it with `kubectl scale`
.exercise[
- In another window, watch the pods (to see when they are created):
```bash
kubectl get pods -w
```
<!--
```wait NAME```
```tmux split-pane -h```
-->
- Create a deployment for this very lightweight HTTP server:
```bash
kubectl create deployment httpenv --image=jpetazzo/httpenv
```
- Scale it to 10 replicas:
```bash
kubectl scale deployment httpenv --replicas=10
```
]
---
## Exposing our deployment
- We'll create a default `ClusterIP` service
.exercise[
- Expose the HTTP port of our server:
```bash
kubectl expose deployment httpenv --port 8888
```
- Look up which IP address was allocated:
```bash
kubectl get service
```
]
---
## Services are layer 4 constructs
- You can assign IP addresses to services, but they are still *layer 4*
(i.e. a service is not an IP address; it's an IP address + protocol + port)
- This is caused by the current implementation of `kube-proxy`
(it relies on mechanisms that don't support layer 3)
- As a result: you *have to* indicate the port number for your service
(with some exceptions, like `ExternalName` or headless services, covered later)
---
## Testing our service
- We will now send a few HTTP requests to our pods
.exercise[
- Let's obtain the IP address that was allocated for our service, *programmatically:*
```bash
IP=$(kubectl get svc httpenv -o go-template --template '{{ .spec.clusterIP }}')
```
<!--
```hide kubectl wait deploy httpenv --for condition=available```
```key ^D```
```key ^C```
-->
- Send a few requests:
```bash
curl http://$IP:8888/
```
- Too much output? Filter it with `jq`:
```bash
curl -s http://$IP:8888/ | jq .HOSTNAME
```
]
--
Try it a few times! Our requests are load balanced across multiple pods.
---
class: extra-details
## `ExternalName`
- Services of type `ExternalName` are quite different
- No load balancer (internal or external) is created
- Only a DNS entry gets added to the DNS managed by Kubernetes
- That DNS entry will just be a `CNAME` to a provided record
Example:
```bash
kubectl create service externalname k8s --external-name kubernetes.io
```
*Creates a CNAME `k8s` pointing to `kubernetes.io`*
---
class: extra-details
## External IPs
- We can add an External IP to a service, e.g.:
```bash
kubectl expose deploy my-little-deploy --port=80 --external-ip=1.2.3.4
```
- `1.2.3.4` should be the address of one of our nodes
(it could also be a virtual address, service address, or VIP, shared by multiple nodes)
- Connections to `1.2.3.4:80` will be sent to our service
- External IPs will also show up on services of type `LoadBalancer`
(they will be added automatically by the process provisioning the load balancer)
---
class: extra-details
## Headless services
- Sometimes, we want to access our scaled services directly:
- if we want to save a tiny little bit of latency (typically less than 1ms)
- if we need to connect over arbitrary ports (instead of a few fixed ones)
- if we need to communicate over another protocol than UDP or TCP
- if we want to decide how to balance the requests client-side
- ...
- In that case, we can use a "headless service"
---
class: extra-details
## Creating a headless services
- A headless service is obtained by setting the `clusterIP` field to `None`
(Either with `--cluster-ip=None`, or by providing a custom YAML)
- As a result, the service doesn't have a virtual IP address
- Since there is no virtual IP address, there is no load balancer either
- CoreDNS will return the pods' IP addresses as multiple `A` records
- This gives us an easy way to discover all the replicas for a deployment
---
class: extra-details
## Services and endpoints
- A service has a number of "endpoints"
- Each endpoint is a host + port where the service is available
- The endpoints are maintained and updated automatically by Kubernetes
.exercise[
- Check the endpoints that Kubernetes has associated with our `httpenv` service:
```bash
kubectl describe service httpenv
```
]
In the output, there will be a line starting with `Endpoints:`.
That line will list a bunch of addresses in `host:port` format.
---
class: extra-details
## Viewing endpoint details
- When we have many endpoints, our display commands truncate the list
```bash
kubectl get endpoints
```
- If we want to see the full list, we can use one of the following commands:
```bash
kubectl describe endpoints httpenv
kubectl get endpoints httpenv -o yaml
```
- These commands will show us a list of IP addresses
- These IP addresses should match the addresses of the corresponding pods:
```bash
kubectl get pods -l app=httpenv -o wide
```
---
class: extra-details
## `endpoints` not `endpoint`
- `endpoints` is the only resource that cannot be singular
```bash
$ kubectl get endpoint
error: the server doesn't have a resource type "endpoint"
```
- This is because the type itself is plural (unlike every other resource)
- There is no `endpoint` object: `type Endpoints struct`
- The type doesn't represent a single endpoint, but a list of endpoints
---
class: extra-details
## The DNS zone
- In the `kube-system` namespace, there should be a service named `kube-dns`
- This is the internal DNS server that can resolve service names
- The default domain name for the service we created is `default.svc.cluster.local`
.exercise[
- Get the IP address of the internal DNS server:
```bash
IP=$(kubectl -n kube-system get svc kube-dns -o jsonpath={.spec.clusterIP})
```
- Resolve the cluster IP for the `httpenv` service:
```bash
host httpenv.default.svc.cluster.local $IP
```
]
---
class: extra-details
## `Ingress`
- Ingresses are another type (kind) of resource
- They are specifically for HTTP services
(not TCP or UDP)
- They can also handle TLS certificates, URL rewriting ...
- They require an *Ingress Controller* to function