'A Quick Guide to Writing YAML for Kubernettes' by asadfaizi cloudcomputing kubernetes
Therefore, one of the most common specifications in the deployment YAML file is the number of replicas we want, and this is nested under ‘spec’, as detailed in the sample code below. The mandatory specifications to be included when defining our deployment via YAML are apiVersion, kind, metadata, and spec.
apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deployment1 labels: app: nginx spec: replicas: 3 selector: matchlabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: webserver1 image: nginx:1.6 ports: - containerPort:80 - name: database-server image: mysql-3.2 ports: - containerPort:3306Because deployments are sets of objects, we must specify what objects are to be created by this deployment. This is done under the template: specification. And to ensure we are creating only the correct pods in this deployment, we use the .selector.match labels: specification. In this case, only those pods that match our desired label will be included in this deployment. We have also specified that we want 2 pods to be created in this deployment. These pods are webserver1 and database-server. And their respective specs are also included here, just as they were when creating the individual pods.kubectl create -f /k8s/deployments/deployment1.yamlNow that we have defined our pods and the deployment to create those pods, we need a way of consistently being able to access our pod-set even if the pods themselves are recreated or lost. And this should be transparent to any application or other pods trying to access this pod-set. For example, when a user searches from our website’s frontend using HTML, that search request is directed to a set of pods where our database is defined. If the ‘database’ pod goes down and has to be recreated, the frontend should be completely unaware of this. The request should still be acknowledged and fulfilled as usual. And this is achieved by means of Kubernetesis an abstract way to expose an application running on a set of Pods as a network service.apiVersion: v1 kind: Service metadata: name: nginx-service labels: app: nginx spec: ports: - nodePort: 30500 port: 80 protocol: TCP targetPort: 80 selector: app: nginx type: NodePortOur service name is ‘nginx-service’. We specify that this is a service using the kind: Service specification We have defined a selector that has the app: nginx label. Using this, the service will be able to match and identify the pods in our Nginx deployment, since the deployment and the pods also have the exact same label. This is how all incoming requests to this NginxThis Kubernetes service is of type NodePort and it points to our Nginx deployment. Using this NodePort, you will be able to access the Nginx service on all Kubernetes nodes via port 30500. Just as with deployments and nodes, there are many more specifications you can define for services. Read more about these in theEven though YAML was invented to be more human-readable than other formats like JSON if you need to create tens of YAML manifest files to deploy, manage and upgrade your Kubernetes applications, the friendliness of YAML decreases significantly. Kubernetes requires the manual creation of a large number of YAML manifest and config files. In addition to that, Kubernetes uses YAML’s more advanced features, like how to work with blobs of text or with a more complex “array in a hash in an array” type of structure. As developers, you will manually create Config files, and YAML or JSON manifests for each Docker container keeping into account syntax and all attributes. With time, developers end up with a huge wall of small YAML files that define all of the resources in their environment. Oftentimes, developers’ artifacts grow exponentially and become extremely difficult to manage. This is a complexity that development teams should handle along with product development, and with time it becomes a burden. This is why you need to choose the right tools that make you focus more on your development and spend less time managing your infrastructure.With CloudPlex, developers no longer need to write the manifest files, nor search for valid parameters and supported values. Developers just configure services using a visual interface, in a single view. The platform performs validation and generates all related manifest and config files, which can also be downloaded and used on any K8s cluster. The screenshot is a visual interface used by the developer to create the same application as above. As you can see, the developer can create the application simply by dragging and dropping containers from a palette to the canvass and configuring the containers visually in the Config Panel:
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