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Now we're going to walk through an initial build of the monitor-scale application. You should see the new puzzle pod appear in the Kr8sswordz Puzzle app. If you need to walk through the steps we did again (or do so quickly), we've provided npm scripts that will automate running the same commands in a terminal.
If you did not allocate 8 GB of memory to Minikube, we suggest not exceeding 6 scaled instances using the slider. If you immediately press Reload again, it will retrieve answers from etcd until the TTL expires, at which point answers are again retrieved from MongoDB and re-cached. 0 --name etcd-operator --debug --wait. We will also modify a bit of code to enhance the application and enable our Submit button to show white hits on the puzzle service instances in the UI. 04 or higher, use the following terminal commands. When a puzzle pod instance goes up or down, the puzzle pod sends this information to the monitor-scale pod. Runs up and down crossword. Kubectl cluster-info kubectl get pods --all-namespaces. Upon restart, it may create some issues with the etcd cluster. 1:30400/monitor-scale:`git rev-parse --short HEAD`. This is not a ClusterRole kind of object, which means it will only work on a specific namespace (in our case "default") as opposed to being cluster-wide. This service also interacts with the UI by broadcasting websockets messages. Enter the following terminal command, and wait for the cluster to start: minikube start. Run the proxy container from the newly created image. To quickly install NodeJS and npm on Ubuntu 16.
If you previously stopped Minikube, you'll need to start it up again. Kubectl rollout status deployment/puzzle kubectl rollout status deployment/mongo. Monitor-scale then uses websockets to broadcast to the UI to have pod instances light up green. Enter the following command to delete the remaining puzzle pod. Docker stop socat-registry. For now, let's get going! For best performance, reboot your computer and keep the number of running apps to a minimum. 1:30400/ monitor-scale:'`git rev-parse --short HEAD`'#' applications/monitor-scale/k8s/ | kubectl apply -f -. Now let's try deleting the puzzle pod to see Kubernetes restart a pod using its ability to automatically heal downed pods. When you click Submit, your current answers for the puzzle are stored in MongoDB. We do not recommend stopping Minikube ( minikube stop) before moving on to do the tutorial in Part 4. When the Scale button is pressed, the monitor-scale pod uses the Kubectl API to scale the number of puzzle pods up and down in Kubernetes. Crossword for run up. The crossword application is a multi-tier application whose services depend on each other. Etcd – An etcd cluster for caching crossword answers (this is separate from the etcd cluster used by the K8s Control Plane).
In the manifests/ you'll find the specs for the following K8s Objects. This step will fail if local port 30400 is currently in use by another process. Drag the middle slider back down to 1 and click Scale. View pods to see the monitor-scale pod running. What's Happening on the Backend. On macOS, download the NodeJS installer, and then double-click the file to install NodeJS and npm.
Docker build -t socat-registry -f applications/socat/Dockerfile applications/socat. Once again we'll need to set up the Socat Registry proxy container to push the monitor-scale image to our registry, so let's build it. Kubectl apply -f manifests/. Kubernetes is automatically balancing the load across all available pod instances. Monitor-scale persists the list of available puzzle pods in etcd with set, delete, and get pod requests. Before we start the install, it's helpful to take a look at the pods we'll run as part of the Kr8sswordz Puzzle app: -. Docker stop socat-registry; docker rm socat-registry; docker run -d -e "REG_IP=`minikube ip`" -e "REG_PORT=30400" --name socat-registry -p 30400:5000 socat-registry. View deployments to see the monitor-scale deployment. Runs up and down crossword clue. In a terminal, run kubectl get pods to see the new replicas. In Part 3, we are going to set aside the Hello-Kenzan application and get to the main event: running our Kr8sswordz Puzzle application. Underneath, the chart generates Kubernetes deployment manifests for the application using templates that replace environment configuration values. Let's take a closer look at what's happening on the backend of the Kr8sswordz Puzzle app to make this functionality apparent. Drag the lower slider to the right to 250 requests, and click Load Test.
This will install Tiller (Helm's server) into our Kubernetes cluster. 1. pod instance of the puzzle service. Running the Kr8sswordz Puzzle App. Start the web application in your default browser. He was born and raised in Colombia, where he studied his BE in Systems Engineering. Monitor-scale has the functionality to let us scale our puzzle app up and down through the Kr8sswordz UI, therefore we'll need to do some RBAC work in order to provide monitor-scale with the proper rights. The proxy's work is done, so go ahead and stop it.
Npm run part1 (or part2, part3, part4 of the blog series). In a terminal enter kubectl get pods to see all pods. Check to see that all the pods are running. You can check if there's any process currently using this port by running the command. When the Load Test button is pressed, the monitor-scale pod handles the loadtest by sending several GET requests to the service pods based on the count sent from the front end. 1:30400/monitor-scale:`git rev-parse --short HEAD` -f applications/monitor-scale/Dockerfile applications/monitor-scale. Puzzle – The primary backend service that handles submitting and getting answers to the crossword puzzle via persistence in MongoDB and caching in ectd. Deploy the etcd cluster and K8s Services for accessing the cluster. Enroll in Introduction to Kubernetes, a FREE training course from The Linux Foundation, hosted on. Push the monitor-scale image to the registry. So far we have been creating deployments directly using K8s manifests, and have not yet used Helm. We will deploy an etcd operator onto the cluster using a Helm Chart.
We will showcase the built-in UI functionality to scale backend service pods up and down using the Kubernetes API, and also simulate a load test. We'll also spin up several backend service instances and hammer it with a load test to see how Kubernetes automatically balances the load. RoleBinding: A "monitor-scale-puzzle-scaler" RoleBinding binds together the aforementioned objects. You'll need a computer running an up-to-date version of Linux or macOS. Mongo – A MongoDB container for persisting crossword answers. The cluster runs as three pod instances for redundancy. This tutorial only runs locally in Minikube and will not work on the cloud. Helm init --wait --debug; kubectl rollout status deploy/tiller-deploy -n kube-system. Monitor-scale – A backend service that handles functionality for scaling the puzzle service up and down.
We've seen a bit of Kubernetes magic, showing how pods can be scaled for load, how Kubernetes automatically handles load balancing of requests, as well as how Pods are self-healed when they go down.