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

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-root-user

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

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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Invoke reactive Endpoints with Quarkus and MicroProfile

In this blog post I want to point out that I just created a 15 min YouTube video related to the great Hands-on workshop: Reactive Endpoints with Quarkus on OpenShift. In this video you can watch and follow the steps of the exercise 3 “Invoke Endpoints reactively”. Niklas wrote a great blog post about the topic of that exercise. This is the name and link of his blog post Invoking REST APIs asynchronously with Quarkus.

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Develop reactive Endpoints with Quarkus

In this blog post I want to point out that I just created a 12 min YouTube video related to the great Hands-on workshop: Reactive Endpoints with Quarkus on OpenShift. In this video you can watch and follow the steps of the exercise 2 “Develop reactive Endpoints”. Niklas wrote a great blog post about the topic of that exercise. This is the name and link of his blog post Developing reactive REST APIs with Quarkus.

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How to setup the reactive Cloud Native Starter sample application on OpenShift in IBM Cloud

In this blog post I want to point out that I just created a 5 min YouTube video related to the great Hands-on workshop: Reactive Endpoints with Quarkus on OpenShift. In that short video I show the setup of the example application to show reactive programming.

The image below shows the major architecture of the reactive programming example. There are three Java Microservices, one Vue.js UI application and two infrastructure components running on OpenShift (Kubernetes).

reactive-architecture

 


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

Greetings,

Thomas

PS:  You can try out Cloud Foundry Apps or Kubernetes on IBM Cloud. By the way, you can use the IBM Cloud for free, if you simply create an IBM Lite account. Here you only need an e-mail address.

#IBMDeveloper, #IBMCloud, #OpenShift, #Kafka, #Postgres, #MicroProfile, #Java #reactive

 

 

Automated deployment of a microservice to Kubernetes on IBM Cloud

In that blog post I want to point out the awesome topic, how to automate the deployment of a Microservice using a delivery pipeline on IBM Cloud.

Maybe you already know Niklas, Harald and I made the great project called Cloud Native Starter. That project includes a Hands-on workshop that is called “Build a Java Microservice and deploy the Microservice to Kubernetes on IBM Cloud”.  In Lab 4 you have to deploy the Authors Microservice to Kubernetes on IBM Cloud. Sometimes we have limited time in workshops. The limited time is the reason why we want to reduce the manual effort for students in a workshop to a minimum, therefor we took the IBM® Cloud Continuous Delivery and I created a repeatable way with minimal human interaction. The delivery pipeline contains sequences of stages which retrieve inputs and run jobs, such as builds, and deployments.

That image shows two stages, one stage is called FETCH and the other DEPLOY_SERVICES. The FETCH stages contains a job called Fetch code and the DELOY_SERVICES has two jobs one for build and one for deployment.

Toolchain-04

With the realization of the automated setup for the creation of the toolchain, you can just press the button Create toolchain in the GitHub project and follow a guided wizard to deploy the Authors Microservice.

Visit the hands-on workshop Use a IBM Cloud toolchain to deploy a Java Microservices to Kubernetes on IBM Cloud and press the button 😉

create-toolchain-gitbook

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Deploy the Reactive Cloud Native Starter example to IBM Cloud

The Cloud Native Starter project now contains the new great topic, the development of Reactive Microservices  with Java, quarkus, MicroProfile and Vue.js as front-end. The Reactive example implementation runs on minikube, local OpenShift and on IBM Cloud Kubernetes. Here are the instructions on GitHub.

But what does reactive mean? Here is an extract of the definition in  The Reactive Manifesto.

“Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. This makes them easier to develop and amenable to change. They are significantly more tolerant of failure and when failure does occur they meet it with elegance rather than disaster. Reactive Systems are highly responsive, giving users effective interactive feedback.” 

But be aware, our example is not a full Reactive System it shows reactive programming techniques.

Note: To understand the difference between these two topics, that badge on cognitiveclass is useful Reactive Architecture: Introduction to Reactive Systems.

In our reactive programming example, you see directly changes in the database on the Web UI, without refreshing the browser.

reactive-sample

In this blog post I want to share, how you deploy that awesome Reactive example to a free IBM Cloud Kubernetes Cluster and using the free quota of the IBM Cloud Container Registry. We avoid for the setup that you have to use any paid IBM Cloud services, because you want just to see how the Reactive example works on IBM Cloud.
To create a free Cluster you need a feature code to create a Trial Account or you create a pay as you go account and you only use the free services of IBM Cloud.

That is the major architecture of the Reactive example. Three Java Microservices, one Vue UI application and two infrastructure components running on Kubernetes.

reactive-architecture

But what is reactive programming in more detail? If you want to get more details of the Reactive topic, just visit the blog post Development of Reactive Applications with Quarkus from Niklas Heidloff and if you want to explore the setup for local OpenShift take a look into the blog post Cloud Native Starter on Red Hat OpenShift 4 from Harald Uebele.

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Central management of billing and resource usage tracking across multiple accounts in IBM Cloud

In this blog post I want to shortly highlight the topic central management of billing and resource usage tracking across multiple accounts. I think it is good to know that topic, even if you will currently not use it.

I didn’t use IBM Cloud Enterprise until now, but is great to know that this is possible. This organisational topic is (more or less 😉 ) related to one of my older blog posts  “What are major elements to organize my services, apps and devices in IBM Cloud?”

The announcement was in Juli 2019 :

“Now you can organize multiple IBM Cloud accounts in flexible hierarchical groups.”

For more details please visit that blog post introducing IBM Cloud Enterprises.

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