# Exposing containers - `kubectl expose` creates a *service* for existing pods - A *service* is a stable address for a pod (or a bunch of pods) - If we want to connect to our pod(s), we need to create a *service* - Once a service is created, CoreDNS will allow us to resolve it by name (i.e. after creating service `hello`, the name `hello` will resolve to something) - There are different types of services, detailed on the following slides: `ClusterIP`, `NodePort`, `LoadBalancer`, `ExternalName` --- ## Basic service types - `ClusterIP` (default type) - a virtual IP address is allocated for the service (in an internal, private range) - 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 - `NodePort` - a port is allocated for the service (by default, in the 30000-32768 range) - that port is made available *on all our nodes* and anybody can connect to it - our code must be changed to connect to that new port number These service types are always available. Under the hood: `kube-proxy` is using a userland proxy and a bunch of `iptables` rules. --- ## More service types - `LoadBalancer` - an external load balancer is allocated for the service - the load balancer is configured accordingly
(e.g.: a `NodePort` service is created, and the load balancer sends traffic to that port) - available only when the underlying infrastructure provides some "load balancer as a service"
(e.g. AWS, Azure, GCE, OpenStack...) - `ExternalName` - the DNS entry managed by CoreDNS will just be a `CNAME` to a provided record - no port, no IP address, no nothing else is allocated --- ## 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 *could* do `kubectl run httpenv --image=jpetazzo/httpenv` ... - But since `kubectl run` is being deprecated, let's see how to use `kubectl create` instead .exercise[ - In another window, watch the pods (to see when they are created): ```bash kubectl get pods -w ``` - 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 - Running services with arbitrary port (or port ranges) requires hacks (e.g. host networking mode) --- ## 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=$(kubectl get svc httpenv -o go-template --template '{{ .spec.clusterIP }}') ``` - Send a few requests: ```bash curl http://$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 ## If we don't need a load balancer - 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 ## 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 --- ## Exposing services to the outside world - The default type (ClusterIP) only works for internal traffic - If we want to accept external traffic, we can use one of these: - NodePort (expose a service on a TCP port between 30000-32768) - LoadBalancer (provision a cloud load balancer for our service) - ExternalIP (use one node's external IP address) - Ingress (a special mechanism for HTTP services) *We'll see NodePorts and Ingresses more in detail later.*