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This project provides template Helm Charts for deploying a Node.js web application into any Kubernetes based cloud.
The templates require your application to built into a Docker image. The Docker Templates provides assistance in creating an image for your application.
In order to use these template, copy the files from this project into your application directory. You should only need to edit the Chart.yaml and values.yaml files.
Using the template Helm charts assumes the following pre-requisites are complete:
You have a Kubernetes cluster
This could be one hosted by a cloud provider or running locally, for example using Minikube
You have kubectl installed and configured for your cluster
The Kuberenetes command line tool, kubectl, is used to view and control your Kubernetes cluster.
You have the Helm command line and Tiller backend installed
Helm and Tiller provide the command line tool and backend service for deploying your application using the Helm chart.
You have created and published a Docker image for your application
The Docker Template project provides guidance on building and publishing it to the DockerHub registry.
Your application has a /live and /ready health check endpoints This allows Kubernetes to restart your application if it fails or becomes unresponsive. The @nestjs/terminu add-on can be used to add health check endpoints.
In order to add Helm Charts to your application, copy the nodeapp directory from this project into your application's root directory.
You then need to make a single change before the charts are usable: to set the image.repository for your application.
In order to change the image.respository parameter, open the nodeapp/values.yaml file and change the following entry:
image:
repository: <namespace>/nodeappto set <namespace> to your namespace on DockerHub where you published your application as nodeapp.
The following table lists the configurable parameters of the template Helm chart and their default values.
livenessProbe check if pod is in a bad state, will restart pod if probe failed readinessProbe check if service in a healthy state, will remove pod from service/loadbalancer if probe failed
| Parameter | Description | Default |
|---|---|---|
| image.repository | image repository | <namespace>/nodeapp |
| image.tag | Image tag | latest |
| image.pullPolicy | Image pull policy | Always |
| livenessProbe.path | Liveness Probe path | /live |
| livenessProbe.initialDelaySeconds | How long to wait before beginning the checks our pod(s) are up | 30 |
| livenessProbe.periodSeconds | The interval at which we'll check if a pod is running OK before being restarted | 10 |
| livenessProbe.timeoutSeconds | if response time is logger than 3 seconds, we consider the check as failed | 3 |
| livenessProbe.failureThreshold | if check fails for N times in a row, we consider the pod is in a bad state, pod will be restarted | 3 |
| livenessProbe.successThreshold | if check succeeds for once, we consider the pod is back to normal | 1 |
| readinessProbe.path | Readiness Probe path | /ready |
| readinessProbe.initialDelaySeconds | Start checking after 30s after pod starts. should set to a minimal value such that service able to receive requests as soon as it is ready | 30 |
| readinessProbe.periodSeconds | Readiness Probe timeoutSeconds | 10 |
| readinessProbe.timeoutSeconds | if response time is logger than 3 seconds, we consider the check as failed | 3 |
| readinessProbe.failureThreshold | if check fails for N times in a row, we consider the pod is in a bad state, pod will be removed from loadbalancer | 3 |
| readinessProbe.successThreshold | if check succeeds for once, we consider the pod is back to normal | 1 |
| service.type | Kubernetes service type exposing port | ClusterIP |
| service.nodePort | The node port used if the service is of type NodePort | "" |
| service.port | TCP Port for this service | 3000 |
| resources | CPU, Memory resource limits | {} no default set |
| autoscaling.enabled | Enable HorizontalPodAutoscaler | {} |
| networkPolicy.enabled | Enable NetworkPolicy | false |
| ingress.enabled | if true, an ingress is created | false |
| ingress.annotations | annotations for the ingress | {} |
| ingress.path | a list ingress paths | [/] |
| ingress.hosts | a list of ingress hosts | [ngxapi.example.com] |
| ingress.tls | a list of IngressTLS items | [] |
| metrics.enabled | add prometheus annotations | false |
In order to use the Helm chart to deploy and verify your applicaton in Kubernetes, run the following commands:
helm install --name ngxapi .This deploys and runs your application in Kubernetes, and prints the following text to the console:
Congratulations, you have deployed your Node.js Application to Kubernetes using Helm!
To verify your application is running, run the following two commands to set the SAMPLE_NODE_PORT and SAMPPLE_NODE_IP environment variables to the locaton of your application:
export SAMPLE_NODE_PORT=$(kubectl get --namespace default -o jsonpath="{.spec.ports[0].nodePort}" services nodeapp-service)
export SAMPLE_NODE_IP=$(kubectl get nodes --namespace default -o jsonpath="{.items[0].status.addresses[0].address}")
And then open your web browser to http://${SAMPLE_NODE_IP}:${SAMPLE_NODE_PORT} from the command line, eg:
open http://${SAMPLE_NODE_IP}:${SAMPLE_NODE_PORT}export SAMPLE_NODE_PORT=$(kubectl get --namespace default -o jsonpath="{.spec.ports[0].nodePort}" services nodeapp-service)
export SAMPLE_NODE_IP=$(kubectl get nodes --namespace default -o jsonpath="{.items[0].status.addresses[0].address}")open http://${SAMPLE_NODE_IP}:${SAMPLE_NODE_PORT}You application should now be visible in your browser.
If you installed your application with:
helm install --name ngxapi .then you can:
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