Deploying app on bitnami mean manual#
Deploying app on bitnami mean software#

A stalwart in the Kubernetes ecosystem, Helm is a package manager for Kubernetes. It can be adapted to work with other MEAN applications, but it may require some changes to connect the MongoDB pod with the application pod.Probably one of the first packages installed after your Kubernetes cluster is up and running is Helm. NOTE: The Helm chart used in this guide has been developed to showcase the capabilities of both Kubernetes and Helm, and has been tested to work with the example to-do application. This is considered a best practice because it allows a clear separation of concerns, and it also allows the pods to be scaled independently (you’ll see this in the next section). The Helm chart used in this guide deploys the example to-do application as two pods: one for Node.js and the other for MongoDB. Pods make it easy to scale applications: scale up by adding more pods, scale down by removing pods. A pod consists of one or more containers which can communicate and share data with each other. The smallest deployable unit in Kubernetes is a “pod”. Commands specific to one or the other platform are explicitly called out as such. That said, the commands shown in this guide can be used on both GKE and Minikube.

NOTE: GKE is recommended for production deployments because it is a production-ready environment with guaranteed uptime, load balancing and included container networking features. For detailed instructions, refer to our starter tutorial. TIP: If you don’t already have a Kubernetes cluster, the easiest way to get one is via GKE or Minikube. Learn more about containers on Wikipedia and on ZDNet.

You have a basic understanding of how containers work.

You have `git` installed and configured.

You have `kubectl` installed and configured to work with your Kubernetes cluster.

You have a Kubernetes 1.5.0 (or later) cluster.

This guide makes the following assumptions: The example application is a single-page Node.js and Mongo-DB to-do application available on Github. This guide focuses on deploying an example MEAN application in a Kubernetes cluster running on either Google Container Engine (GKE) or Minikube. Once the application is deployed and working, it also explores some of Kubernetes’ most interesting features: cluster scaling, load-balancing, and rolling updates. It uses a custom Helm chart to create a Node.js and MongoDB environment and then clone and deploy a MEAN application from a public Github repository into that environment. This guide walks you through the process of bootstrapping an example MongoDB, Express, Angular and Node.js (MEAN) application on a Kubernetes cluster. Or, if you’re developing a custom application, it’s also possible to use Bitnami’s Helm charts to package and deploy it for Kubernetes.

Deploying app on bitnami mean software#

Bitnami offers a number of stable, production-ready Helm charts to deploy popular software applications, such as WordPress, Magento, Redmine and many more, in a Kubernetes cluster. If you’re new to Kubernetes and Helm charts, one of the easiest ways to discover their capabilities is with Bitnami. Applications can be installed to a Kubernetes cluster via Helm charts, which provide streamlined package management functions.

Deploying app on bitnami mean manual#

Kubernetes offers a number of key features, including multiple storage APIs, container health checks, manual or automatic scaling, rolling upgrades and service discovery. Kubernetes is an open source project designed specifically for container orchestration. And when it comes to automatically deploying and managing containers in the cloud (public, private or hybrid), one of the most popular options today is Kubernetes. Containers have revolutionized application development and delivery on account of their ease of use, portability and consistency.