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”
Oracle introduced the Real Time Integration Business Insight product as part of its Integration offering in 2016. For a 2 minute overview check out Insight Overview Video .
The good news is that this capability is now available in the Oracle Public Cloud as part of the SOA Cloud Service and can be provisioned using the Integration Analytics Cluster service type.
In this blog I plan to do the following;
Briefly introduce Integration Analytics and Real Time Integration Business Insight (Insight)
Walk through the Provisioning Steps
Walk through the Post Provisioning Steps
In a related blog post I will cover how to interact with the Integration Analytics capability via REST.
In a previous blog on OCCS, I covered the steps required to provision the service. As an input to the OCCS Service provisioning I was prompted to specify the number of worker nodes I required, which for my example I set to be two. Having provisioned the service, I can now start to build and run my Docker images on these worker nodes. As part of the provisioned service, I have a node dedicated to the Container Console which provides a nice web User Interface that allows me to Build, Deploy, Run and Manage Docker Containers on the worker node hosts that I provisioned as part of my service. The two worker nodes are the hosts that I will ultimately deploy and running the image of interest such as WordPress, MySQL, Oracle Database, Tomcat, Nginx, WebLogic Server or whatever you want pretty much. The Container Console makes it very easy to build, run and deploy images via a web administration console.
In December 2015, Oracle acquired the StackEngine, which provided (Docker) container management software and automation (DevOps) capabilities. According to Wikipedia, https://en.wikipedia.org/wiki/StackEngine – “The StackEngine model-based Docker management software provided an integrated DevOps solution for end-to-end container application delivery and operation, all with an integrated GUI dashboard, service discovery, scheduling, and orchestration functions. StackEngine could be deployed into any on-premise, hybrid, public, or private cloud environments and scaled across thousands of hosts enabling users to start in the lab and scale out to full production.”
In November 2016, Oracle announced the general availability of the Oracle Container Cloud Service (OCCS) which had taken the StackEngine capabilities and transformed them into a Cloud Service.
Oracle SQLDeveloper SSH Configuration
After provisioning an Oracle SOA Cloud Service and its related Oracle Database 12c Pluggable Database Cloud Service Instance, I then needed to connect to the Database in the Oracle Public Cloud in order to run some scripts for my demo tables. Obviously mixing customer data into the SOA Meta Data-Store (MDS) Database is not best practice but it was fine for my demo purposes.
In order to run the SQL scripts I had I was presented with a couple of choices (at least).
We wanted to demonstrate interaction with our Integration Platform using Email with an implementation based on the following