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Step 1: Deploy a MongoDB service on Kubernetes

You have a basic understanding of Node.js and REST API concepts.

Learn more about getting started with Kubernetes and Helm using different cloud providers.

You have a Kubernetes cluster running with Helm v3.x and kubectl installed.

You have a Docker environment installed and configured.

This guide makes the following assumptions:

To achieve this, you will use the following Helm charts and containers:īitnami’s Node.js Helm chart, which lets you quickly deploy a Node.js application on Kubernetes.īitnami’s MongoDB Helm chart, which gives you a fully-functional, secure and replicated MongoDB database cluster on Kubernetes.Īs with container images, Bitnami’s Helm charts are secure and packaged according to current best practices, so you can use them immediately with your preferred Kubernetes provider or environment. In this second and concluding part, you will transition your API from your local system to a Kubernetes environment, thereby making it available to a wider audience for review, test and usage.

In the first part of this series, you developed and integrated a sample REST API with a MongoDB database running on your local system. Step 4: Deploy the REST API on Kubernetesĭeploy a REST API on Kubernetes with Bitnami’s Helm Charts.

Step 3: Create and publish a Docker image of the application.

#Bitnami mean node app forever code

Step 2: Adapt the application source code.Step 1: Deploy a MongoDB service on Kubernetes.If you want to use npm directly you should take care of these tasks manually. In this example we are using pm2 to start the application as it handles the monitoring and process management for us. It must include a start() hook with instructions to start the application. # Deployment environment variables # export DATA_FOLDER= '/bitnami/app ' export APP_FOLDER= '/app ' export DATABASE_USER= 'app_user ' export DATABASE_NAME= 'app_db ' export DATABASE_PASSWORD= 'app_password ' export DATABASE_HOST= 'app_host ' export DATABASE_PORT= 'app_port ' export DATABASE_CONNECTION_OPTIONS= 'app_connection_options ' export BACKEND_PORT= '3000 ' export PATH= '/opt/bitnami/nami/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/bitnami/node/bin:/opt/bitnami/python/bin:/opt/bitnami/nami/bin 'įor security reasons, the permissions of this file are 600 and it is only loaded in the run.sh script so this environment variables are not available for users logged in the machine. In this example the port is configured in the server.js file: This port is accessible using the BACKEND_PORT environment variable. The Node.js High-Availability Cluster template creates a LoadBalancer on the port 80 that redirects HTTP traffic to an unprivileged port. To get more information about how the Node.Js High-Availability Cluster template work, please visit the bitnami documentation:įor your application to be compatible with the Node.js High-Availability Cluster solution it should fulfill the next requirements: Server port

#Bitnami mean node app forever how to

Also, check how to connect your application to a MongoDB CosmosDB database in this example.Īll the configuration related to the application and the database is made by environment variables in the Azure interface and passed to each application node via an env file.

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Check this link for the full list of Azure Cosmos DB features. In order to quickly and easily provision a globally distributed and scalable database, consider the Azure Cosmos DB service. If your application fulfill these requirements you will be able to deploy several instances of your application working behind a LoadBalancer and with a shared filesystem in just a few minutes. This application is an example of how to deploy Node.js applications in high availability mode in the Azure cloud.