In my previous post in this series I covered linking GitHub and DockerHub and configuring the environment such that a build of a Docker image was triggered on updates to GitHub. In this final post of the series I will take you through the steps to pull the image from Docker Hub into OCCS in order to run the application. It should be noted that the image built on Docker Hub in my example is only the web tier that contains my Node.js project (APIs and SwaggerUI). The MongoDB component of my OCCS Stack is pulled directly from Docker Hub when my Stack containing the Web Tier and Database Tier services is deployed to OCCS. Continue reading “Exploring GitHub Docker Hub and OCCS Part 4”
In my previous post I described how I created a stack definition including my Node.js web application and a MongoDB service using docker-compose. In this article I will describe the steps I took to link my GitHub and Docker Hub accounts in order to automatically build a docker image triggered by a git push command.
Trigger a Build of the MedRec API Docker Image on Docker Hub
Combining internet / cloud based services such as GitHub and Docker Hub allows developers to experience productivity gains without having to fund a local server to provide this capability. I wanted to explore and experience this for myself.
Link Docker Hub and Git Hub accounts
As I didn’t have a docker account for my user I pointed my browser to docker hub … https://hub.docker.com/ and clicked the SignUp option. Continue reading “Exploring GitHub DockerHub and OCCS Part 3”
In my previous post I detailed how I Dockerised the MedRec app. In this post I will show how I added MongoDB and defined a stack using Docker-Compose.
Add MongoDB layer using Docker-Compose
According to the official docker documentation ;
“Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a Compose file to configure your application’s services. Then, using a single command, you create and start all the services from your configuration. ”
A single command to create and start all the services in a configuration sounded pretty good to me. I definitely was keen on exploring docker-compose.
Add a docker-compose.yml file
Having proved that my web application runs up, I now need to address the persistence layer. The above Dockerfile contains the steps to create the required runtime platform for my node app, and installs the node application and package dependences (as specified in the package.json) file by doing the npm install. However if I tried to do a GET or a PUT my app will fail as it won’t find a MongoDB inside my container. I therefore still need a MongoDB somewhere in my environment to hold my application data. Continue reading “Exploring GitHub, DockerHub and OCCS Part 2”
In my previous post in this series I provided an Introduction describing the high level steps I planned to take.
In this post I will walk through the detailed steps to Dockerise the MedRec application.
Dockerise the MedRec APIs
Git clone the project repository
I used my Windows Surface Pro-4 with Oracle VM Virtual Box installed to host my development VM. I managed to source a VBox image that already had Ubuntu 16.04 and Docker installed so that helped get me started. In my development environment on my laptop, I created a directory under my home directory named gitprojects.
I cd into that directory.
Continue reading “Exploring GitHub Docker Hub and OCCS Part 1”
As part of our MedRec API playpen initiative we had already developed some REST API’s using Node.js and leveraged MongoDB running on Oracle IaaS as the persistence layer. . This post describes what I did to dockerise the MedRec API application and eventually run it on the Oracle Container Cloud Service (OCCS).
The APIs have already been made available for interested parties to interact with via SwaggerUI. Of course developers could develop their own code (or any REST client) to interact with them. As a team we used a combination of the Oracle Developer Cloud Service (Git repository, Issue Tracker, Build Server etc) and also the public GitHub to provide public access to our project code. As the source code for the Node.js project containing the API’s was pushed to GitHub I simply did a clone of the Node application code in order to download and run it locally (MedRec API tutorials available here).
The application ran well enough on my local laptop which running Ubuntu 16.04, however I really wanted to be able to try to run the app and MongoDB as a Docker image/stack on my laptop. After I had the application successfully “Dockerised”, then I planned to deploy my application stack to the Oracle Container Cloud Service. I also wanted to explore the use of the GitHub / Docker Hub integration to build my image on Docker Hub, and then from within the Oracle Container Cloud Service (OCCS). With the application image available on Docker Hub, I could then pull my image from that source in order to run it up on OCCS.
A good blog can really help bring you up to speed quickly and help overcome inertia to get you started and I would like to acknowledge the help that Mauricio Payetta’s blog provided me.
In this series of blog posts I plan to retrace what I did during my self-learning. Continue reading “Exploring GitHub, DockerHub and OCCS – Introduction”
This blog walks you through the steps I used to get WebLogic Server and the MedRec sample application installed into a Docker image. There are many well documented GitHub projects for the Oracle Docker Images. This blog is meant to simply narrow down exactly what I did to get this going in my environment. I was using Ubuntu 16.04, and already had Docker installed.
The Integration Analytics Service Type (Insight) includes Real-Time Integration Business Insight and Business Activity Monitoring. Insight allows a user to easily define business milestones, map data from existing Oracle SOA and Service Bus projects. Insight also provides an OOTB Dashboard to surface milestone status as well as providing a capability for a user to build a custom dashboard. It also exposes an Event REST API which allows a developer to POST a JSON payload to the API in order to update the Milestone Dashboard.
In my previous blog on Integration Analytics I walked through the steps required to provision the Integration Analytics Cloud Service. In this blog I want to show how easy it is to invoke the service using the exposed REST API, and create milestones that are visible in the Out of the Box Dashboard. My manager is always telling me to take an MVP ( Minimum Viable Product) approach to things I am learning so I am deliberately attempting to be as (smart) lazy as possible. If there is an existing capability that helps me to rapidly reach my end goa, then I plan to use it. Bottom line, with Integration Analytics there is a lot more I could mention but I am focussed on just getting a REST call to work against the service that I just provisioned.
Continue reading “First Experience Using SOACS – Integration Analytics”