Tag: #container

Use environment variables to make a containerized Vue.js frontend application more flexible and deploy it to Code Engine

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This blog post addresses the topic, how to use environment variables to make a containerized Vue.js frontend application more flexible. We will touch following technologies Vue.js, NGINX, JavaScript, Dockerfile and Code Engine.

When you run a containerized application on a container orchestration platform like Kubernetes, Open Shift or on a serverless frameworks like Knative or Code Engine or other platforms, it’s helpful to pass endpoints to other applications to the containerized application by using environment variables. When the container will be restarted, these variables can be provided to the container and no adjustment in the source code is necessary. You can use configmaps or in Code Engine simply the environment variable itself.

The example source code you find in this workshop.

In addition, it’s useful when you take a look into this awesome blog post: Externalise and Configure Frontend Environment Variables on Kubernetes which was used for the starting point for the configuration.

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How to use environment variables to make a containerized Quarkus application more flexible

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This blog post addresses the topic, how to use environment variables to make a containized Quarkus application more flexible. We will touch following technologies Quarkus, OpenJ9 Java runtime, MicroProfile, Dockerfile definition and Code Engine.

When you run a containerized application on a container orchestration platform like Kubernetes, Open Shift or with a serverless framework like Knative or Code Engine or on other platforms, it is helpful to pass endpoints to other applications to the containerized application by using environment variables. When the container will be restarted, these variables can be provided to the container and no adjustment in the source code is necessary. You can use configmaps or in Code Engine simple the environment variable itself.

We will follow along an application example for the implementation and the example source code you find in the Get started to deploy a Java Microservices application to Code Engine workshop. (or the direct link to the used file in the GitHub repository is provided in the blog post itself)

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New hands-on workshop: Get started to deploy a Java Microservices application to Code Engine

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Code Engine is build to create modern, source-centric, containerized, and serverless apps and jobs.
Take a quiz to get started with the Code Engine terminology.

The topic batch jobs is more related to AI and machine learning, and run AI model training temporarily with highly workload, and thats at the moment not so much in my scope.

My starting point with Code Engine was in my YouTube video: Code Engine, Containerized Application, Node-RED Starter Kit and Scale To Zero. With that in mind, from my perspective Code Engine is a very good starting point for smaller containerized applications, because you can precisely control costs with scale to zero. … and by the way, it’s easy of use.

That motivated me to create a simple hands-on workshop, where you are guided to deploy the Cloud Native Starter security example application to Code Engine. The source code of the example application is included to the GitHub project of the workshop.

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IBM Cloud Container Registry is Deprecating Container Builds

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In this blog post I want to point out that I noticed that the IBM Cloud Container Registry is deprecating container builds.

If you don’t know the IBM Cloud Container Registry here are some useful features:

  • “Threat insights – It provides advanced capabilities like vulnerability scanning, deployment policy enforcement, and comprehensive risk assessment and prioritization”
  • “Integration – It ‘s the IBM Cloud preferred image registry; pre-integrated with the IBM Cloud Kubernetes Service for the DevOps workflow using IBM Open Toolchain or existing a CI/CD toolset.”
  • “Security – It’s integrated with Identity and Access Manager and Resource Groups to provide fine-grained access controls to users within the IBM Cloud account.”
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Error: Node Sass does not yet support your current environment: OS X 64-bit with Unsupported runtime (83) … using a remote development container to run the Vue.js application

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In this blog post I want to show, how to setup a remote development container for a Vue.js application, which isn’t able to run on my local machine, even after the update of Node.js, npm and yarn.

I still get the error which is shown in the following image and it seems this error is related to the installed MacOS version 10.15.5.

vue-remote-01

To be able to work with the Vue.js project, I use now the remote container development functionality in Visual Studio Code as a workaround . This is very close to my blog post “Run a MicroProfile Microservice on OpenLiberty in a Remote development container in Visual Studio Code”.

You can follow the steps of the setup of the workaround for the “OS X 64-bit with Unsupported runtime (83)” problem.

SETUP AND CONFIGURATION

Ensure you have installed Docker Desktop on your local machine.

Step 1: Install the following extensions in Visual Studio Code

Step 2: Open in your Visual Studio Code workspace the remote containers extension window (“Open a remote window“)

vsc-remote-java-dev-00

Step 3: Start “Remote Containers: Add Development Container Configuration Files …” and select a container as a starting point, here I use the Node 14 container definition (you can customize the “Dockerfile” to your needs). The container configuration in the Dockerfile contains Node.js, npm and yarn , which I need for the Vue.js development.
The gif below shows the steps.

vue-remote-2

Step 4: Verify the newly created folder “.devcontainer” and related files “devcontainer.json” and “Dockerfile”.

vue-remote-02

Step 5: I my case I only need to customize the “devcontainer.json” file to expose the port  8080, to access my Vue.js application in a local browser.

vue-remote-03

Step 6: Now open the local folder with “Remote Containers: Open Folder in container” in the remote development container. That will map the local folder as volume to the remote development container and code changes will be saved on your local file system and start the Vue.js development.

In the gif you see:

  • Start “Remote Containers: Open Folder in container”
  • Select a folder and open a terminal session in that folder
  • Execute “yarn serve”  in the terminal session
  • See is works the application is running and can be accessed in a local browser using URL “http://localhost:8080″

vue-remote-3

I hope this was useful for you and let’s see what’s next?

Greetings,

Thomas

#Docker, #Container, #Vuejs, #VisualStudioCode, #RemoteDevelopment

 

Run a PostgreSQL container as a non-root user in OpenShift

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In this blog post I want to point out a simple topic: How to run a simple PostgreSQL Docker image as a non-productive container in OpenShift? As you maybe know, OpenShift doesn’t allow by default to run container images as root.

The image below shows the result of the simply deployed postgreSQL image from dockerhub.

postgres openshift root user ibmcloud

It’s possible to enable images to run as root on OpenShift, that’s documented in the OpenShift documentation here, by adding a service account.

But, in this blog post we choose an alternative way, where we don’t change the security in OpenShift, here we will customize the postgreSQL Docker image a bit. We will follow the steps to create a postgreSQL database on OpenShift, along the creation of the database called postgreSQL database-articles for the Cloud Native Starter reactive example .

These are the major steps:

  1. Write the specifications and configurations  for:
    1. … the Dockerfile
    2. … the  yaml with a Kubernetes Deployment and a Kubernetes Service specification. 
  2. Execute the oc CLI commands to:
    1. … create a OpenShift project
    2. … create a OpenShift build configuration
    3. … start the build
    4. … apply the Deployment and Service specification
    5. … expose the Service

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Setup a MongoDB in less than 4 min on a free IBM Cloud Kubernetes cluster at a Hackathon

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In this blog post I want to highlight that I just created a GitHub project and a 10 min YouTube video to “How to setup mongoDB in less than 4 min on a free IBM Cloud Kubernetes cluster at a Hackathon”.

My objective is to provide a small guide, how to setup a MongoDB server and Mongo UI (Mongo-Express)  on a free IBM Cloud Kubernetes cluster and when you don’t want to use the existing MongoDB service on IBM Cloud.

On the free IBM Cloud Kubernetes cluster:  No persistent volume claims are used. So, keep in mind, if your Pod in Kubernetes crashes the data of the database is lost.

Based on the “security feature” of the MongoDB default port 27017, you need to run the application to access the MongoDB server in the Kubernetes cluster .

In other words, your UI application has to access the database with a server application, which also runs on the free Kubernetes cluster (like the Mongo UI (Mongo-Express)  in that example here). You should implement a backend for frontend architecture.

The YouTube video shows the setup and a description how it works.

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