One of the reasons why Kubernetes is the leading Container Orchestration platform today is because it offers a nice separation of concerns in terms of describing workloads. Essentially, Kubernetes consists of a collection of API-oriented, very fast binaries, that are well-documented and easy to contribute to and build applications upon (more on Kubernetes Architecture here).
The basic building block starts with the Pod, which is just a resource that can be created and destroyed on demand. Because a Pod can be moved or rescheduled to another Node, any internal IPs that this Pod is assigned can change over time.
If we were to connect to this Pod to access our application, it would not work on the next re-deployment. To make a Pod reachable to external networks or clusters without relying on any internal IPs, we need another layer of abstraction. K8s offers that abstraction with what we call a Service Deployment.
Kubernetes Service meshes solve challenges caused by container and service sprawl in a microservices architecture by standardizing and automating communication between services.
Services provide network connectivity to Pods that work uniformly across clusters. Service discovery is the actual process of figuring out how to connect to a service.
In this article, we are going to explore some of the fundamental operations of service discovery in K8s along with some common troubleshooting issues and gotchas that appear in large-scale apps.
This article will cover:
- Kubernetes Service Discovery Operations
- Defining and deploying Services
- Service Discovery Troubleshooting
Kubernetes Service Discovery Operations
For the following examples, we assume you have a configured Kubernetes cluster. I created one using DigitalOcean with one node (you can see how easy it is to deploy a free Kubernetes cluster on AWS or on-premises under five minutes: https://platform9.com/sandbox/kubernetes/). For testing we are using hello-kubernetes image. Let’s get started.
Defining and deploying Services
Let’s first create an initial infrastructure so that we can observe the concepts of services in Kubernetes and how they work in practice/
Create two namespaces, one for develop and one for production:
$ cat << ENDL > develop-namespace.yml apiVersion: v1 kind: Namespace metadata: name: develop ENDL $ cat << ENDL > production-namespace.yml apiVersion: v1 kind: Namespace metadata: name: production ENDL $ kubectl apply -f develop-namespace.yml namespace/develop created $ kubectl apply -f production-namespace.yml namespace/production created
Deploy our example application on both namespaces:
$ cat << ENDL > app-deployment-develop.yml apiVersion: apps/v1 kind: Deployment metadata: name: hello namespace: develop spec: replicas: 2 selector: matchLabels: app: hello template: metadata: labels: app: hello spec: containers: - name: hello-kubernetes image: paulbouwer/hello-kubernetes:1.5 ports: - containerPort: 8080 ENDL cat << ENDL > app-deployment-production.yml apiVersion: apps/v1 kind: Deployment metadata: name: hello namespace: production spec: replicas: 2 selector: matchLabels: app: hello template: metadata: labels: app: hello spec: containers: - name: hello-kubernetes image: paulbouwer/hello-kubernetes:1.5 ports: - containerPort: 8080 ENDL $ kubectl apply -f app-deployment-develop.yml $ kubectl apply -f app-deployment-production.yml
Now we can describe the Pods and gather their IP addresses:
$ kubectl describe pods --all-namespaces ... Name: hello-f878d7d65-qjmbp Namespace: production IP: 10.244.0.112 ...
In the output above, the IPs for each Pod are internal and specific to each instance. If we were to redeploy the application, it would be assigned a new IP each time.
We now verify that we can ping a Pod within the cluster. Create a temporary Pod in the default namespace and ping that IP address:
$ cat << ENDL >> jumpod.yml apiVersion: v1 kind: Pod metadata: name: jumpod namespace: default spec: containers: - name: busybox image: busybox:1.28 command: - sleep - "3600" imagePullPolicy: IfNotPresent restartPolicy: Always ENDL $ kubectl apply -f jumpod.yml pod/jumpod created $ kubectl exec -it jumpod ping 10.244.0.149 PING 10.244.0.149 (10.244.0.149): 56 data bytes
Using the nslookup tool, we can get the FQDN of the Pod:
$ kubectl exec -it jumpod nslookup 10.244.0.149 Server: 10.245.0.10 Address 1: 10.245.0.10 kube-dns.kube-system.svc.cluster.local Name: 10.244.0.149 Address 1: 10.244.0.149 10-244-0-149.hello.production.svc.cluster.local
Next, we use a service deployment to expose our application to the Internet. Here are examples for each namespace:
$ cat << ENDL > app-service-develop.yml apiVersion: v1 kind: Service (1) metadata: name: hello namespace: develop spec: type: LoadBalancer (2) ports: - port: 80 (3) targetPort: 8080 selector: app: hello (4) ENDL $ cat << ENDL > app-service-production.yml apiVersion: v1 kind: Service (1) metadata: name: hello namespace: production spec: type: LoadBalancer (2) ports: - port: 80 (3) targetPort: 8080 selector: app: hello (4) ENDL $ kubectl apply -f app-service-develop.yml $ kubectl apply -f app-service-production.yml
- (1) We specify the kind of workload to be a Service.
- (2) We specify the Service type to be a LoadBalancer. This means that we expose the service externally using a cloud provider’s load balancer. Other options include ClusterIP, which makes the Service only reachable from within the cluster, NodePort, which uses the Node IP and a static port to expose the service outside the cluster, and finally, ExternalName, which maps a Service to a DNS name that we configure elsewhere.
- (3) This is the port to expose to the external network.
- (4) This is the name of the deployment that we want to connect to.
Verify that we can visit the public IPs of the services that we deployed:
$ kubectl get services --all-namespaces NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default kubernetes ClusterIP 10.245.0.1 443/TCP 150m develop hello LoadBalancer 10.245.150.103 188.8.131.52 80:31129/TCP 64m kube-system kube-dns ClusterIP 10.245.0.10 53/UDP,53/TCP,9153/TCP 150m production hello LoadBalancer 10.245.143.177 184.108.40.206 80:31705/TCP 58m
If we visit either http://220.127.116.11 or http://18.104.22.168, we should be able to see the application running:
Note: If we were to use a NodePort Service type instead, then Kubernetes would expose the service in a random port within the range 30000-32767 using the Node’s primary IP address. For example, let’s look at the Droplet that was created when we provisioned the Kubernetes Cluster:
Here, the Node IP is 22.214.171.124, and when we create a NodePort Service, we get the following assignment:
$ kubectl get services --all-namespaces NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default kubernetes ClusterIP 10.245.0.1 443/TCP 4h16m develop hello NodePort 10.245.209.176 80:31519/TCP 17s kube-system kube-dns ClusterIP 10.245.0.10 53/UDP,53/TCP,9153/TCP 4h16m production hello LoadBalancer 10.245.143.177 126.96.36.199 80:31705/TCP 164m
So, based on that information, we can visit http://188.8.131.52:31519/ and access the application again.
Also, note that the ClusterIP that was assigned here for both the develop and production namespaces is the LoadBalancer address. This means that it will balance the requests based on an algorithm (default is Round-robin) and it is only accessible within the cluster. We can verify this using the following commands:
$ kubectl exec -it jumpod nslookup 10.245.150.103 Server: 10.245.0.10 Address 1: 10.245.0.10 kube-dns.kube-system.svc.cluster.local Name: 10.245.150.103 Address 1: 10.245.150.103 hello.develop.svc.cluster.local $ nslookup 10.245.150.103 Server: 184.108.40.206 Address: 220.127.116.11#53 ** server can't find 18.104.22.168.in-addr.arpa: NXDOMAIN
Additionally, we can access the applications from within the cluster using the following HTTP urls: http://hello.develop or http://hello.production
$ kubectl exec -it jumpod wget -- -O - http://hello.develop Connecting to hello.develop (10.245.150.103:80) …
The previous examples worked because this Kubernetes cluster automatically configures an internal DNS service to provide a lightweight mechanism for service discovery by default.
This is not, however, the only way to do it. We can use environment variables as a last resort, but they are not ideal in cases where the Pod might fail to reach a service that was created after the Pod.
In our example application, Kubernetes exports a set of environment variables on the node where the Pod gets created:
$ kubectl exec -it hello-f878d7d65-2qctb env --namespace=develop ... HELLO_SERVICE_PORT=80 HELLO_PORT=tcp://10.245.150.103:80 HELLO_SERVICE_HOST=10.245.150.103 HELLO_PORT_80_TCP=tcp://10.245.150.103:80 HELLO_PORT_80_TCP_PROTO=tcp HELLO_PORT_80_TCP_ADDR=10.245.150.103 HELLO_PORT_80_TCP_PORT=80 NPM_CONFIG_LOGLEVEL=info NODE_VERSION=8.1.0 YARN_VERSION=0.24.6 HOME=/root
Below we can see the final schematic of the Node and ClusterIP layout:
Service Discovery Troubleshooting: Common Gotchas and Things to Keep in Mind
Now that you understand the basics of Service Discovery with Kubernetes, let’s look at some of the most common troubleshooting scenarios.
We cannot find the service Environmental Variables
You have created a Pod that needs to access a Service, and you discover that there are no environment variables defined other than the default ones. In this case, you may have to redeploy the Pods again, because the Service will not inject the variables after the Pod is created.
The quickest way to redeploy them is to scale them down and up again:
$ kubectl scale deployment hello --replicas=0 --namespace=develop $ kubectl scale deployment hello --replicas=2 --namespace=develop
If you inspect the Pod environment again, you should be able to read the service variables from the environment.
DNS Service Discovery is not working
First, make sure that the DNS addon service is installed:
$ kubectl get pods --namespace=kube-system -l k8s-app=kube-dns NAME READY STATUS RESTARTS AGE coredns-9d6bf9876-lnk5w 1/1 Running 0 174m coredns-9d6bf9876-mshvs 1/1 Running 0 174m
Then, verify that the service IP address is assigned:
$ kubectl get services --namespace=kube-system -l k8s-app=kube-dns NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kube-dns ClusterIP 10.245.0.10 53/UDP,53/TCP,9153/TCP 176m
Since DNS is an addon to Kubernetes, it may not have been installed or configured correctly.
Now, when a new Pod is created, Kubernetes adds the following entry in /etc/resolv.conf with the nameserver option to the cluster IP of the kube-dns service and appropriate search options to allow for shorter hostnames:
$ cat /etc/resolv.conf nameserver search .svc. svc. options ndots:5
If we try to nslookup the kubernetes.default name and it fails, then there is a problem with the coredns/kube-dns add-on:
$ nslookup kubernetes.default
Address 1: 10.32.0.10
nslookup: can’t resolve ‘kubernetes.default’
We also need to make sure that the server address matches the kube-dns service IP that we found earlier (for our example 10.245.0.10).
Note: DNS Configuration for multi-cloud Kubernetes (federated) environments is not yet GA. You can look at the relevant kubefed project for more information.
In this article, we have seen how easy it is to expose an application publicly using Kubernetes Services. We also troubleshooted a couple of common scenarios that we may encounter. While the basic concepts are easy to grasp, there is a lot more than that behind the scenes.
The road to migrate an enterprise infrastructure to using Kubernetes is long and full of surprises. If we want a painless alternative, consider using our Managed Kubernetes solution which comes built-in with fully automated day-2 operations, 99.9 SLA for bare-metal or VMs or Kubernetes running on any infrastructure, and Managed Apps for seamless integration with monitoring, logging and other critical Kubernetes services. To test drive the service try the Platform9 Managed Kubernetes free here.
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- The Definitive Guide to Kubernetes Upgrades
- Kubernetes Multi-Tenancy Best Practices
- Kubernetes Service Mesh: A Comparison of Istio, Linkerd and Consul
- Kubernetes Networking Challenges at Scale
- Kubernetes Service Mesh – Top Tips for Using Service Meshes
- Best Practices for Selecting and Implementing Your Service Mesh