Thursday, May 10, 2018

Hybrid Cloud Integration Solution Implementation

Hybrid cloud integration represents interesting challenges on how to protect existing SOA services with new cloud-native web applications and microservices. Co-existence is a must on today IT landscape. I'm leading an effort at IBM to implement a complete hybrid solution where architects and developers will be able to learn best practices around:

  • how to develop a SOAP app in Java using JPA, JAXWS deployed on WebSphere Liberty
  • how to develop gateway message flow within IBM Integration Bus
  • how to define API product with API Connect, and use secure communication with TLS for backend APIs
  • how to set up secure connection from IBM Cloud public to on-premise service using IBM Secure Gateway
  • how to develop a Single Page Application with Angular 5 using a Test Drive Development approach with nodejs/expressjs back end
  • how to secure the web app with passport
  • how to access existing LDAP service for user authentication
  • how to perform CI/CD in the hybrid world
  • how to monitor all those components using Application Performance Monitoring
  • how to deploy most of the components of the solution to IBM Cloud Private
  • How to call BPM process from Watson Conversation (orchestration), and how to integrate chat user interface connected to Watson Conversation into BPM coach.

Visit the top level Github repository from which we can navigate to the different content:

We are updating these repositories on a weekly basis and we welcome contribution and comments.

Tuesday, January 23, 2018

The new trends of IT development for business applications group three important needs:

  • how to develop and deploy applications, business processes and decisions faster than ever to operate at a massive scale.  Those applications include new capabilities like chatbot, cognitive integration and machine learning capabilities to improve human to machine interactions
  • developers want to use their own languages, components, APIs, and frameworks so they can develop quickly new business application, deploy. measure and learn from production execution. They need to get the job done, agile way, building by short iteration and incremental capabilities that bring quick business values to the line of business. They need to adopt lean startup approach, A/B testing and pivot if needed. 
  • Access to resources, compute capabilities, added value services, on demand, as a  service consumption with simple pricing, and test and run as they need to scale in and out. 
In term of business leads, digital transformation is the major vector for change: augment business process with AI capabilities, improve integration to existing systems, public , private APIs, optimize decision execution, improve human experience. 
I'm presenting next week in madrid how a technical implementation supporting those needs may look like by integrating API management, integration, Java based microservice, cognitive services, scoring service based on machine learning running on Sparks. All the content, how tos, code is open sourced and can be found here:

Friday, January 19, 2018

Our team just publicly published a white paper on how to use Watson Discovery on the IBM Cloud platform to create content collections and custom cognitive applications. It is related to the training tutorial I co-developed with colleagues at IBM but adds other best practices and business use cases. You can read this pdf here: IBM-Advantage-Paper-for-Cognitive-Discovery.pdf
Please give us feedback.

Wednesday, January 17, 2018

Complement Watson Conversation with Business Decision

Today I presented to IBM Reference Architecture team, with Guilhem Molines, IBM Operational Decision Management product architect, a new solution we are using during our consulting engagements that leverages the Watson conversation to gather customer's input and send to a decision service running in ODM. The solution is implemented as part of ( so every IBM customers or consultants can study it.
Integrating chatbot in business applications, is definitively a trend started two years ago, and a lot of companies are still implementing solutions today. As part of the continuous improvement and optimization of the business operations, the next step is to use the data gathered during the conversation and apply business rules on top of it to deliver next best action or best recommendations. This will limit the human intervention to complex cases only, offloading the workload to rule engine.
To play with our solution you need an IBM Cloud public account, and the code and artifacts we developed to be able to run this solution. The solution integrates with [Decision Composer].
Have fun with this new assets and feedbacks are welcome.

Wednesday, January 3, 2018

IBM Cognitive Reference Architecture

I am part of a group developing reference architecture and assets for IBM Cloud division. One of the major and most visited content is the Cognitive Reference Architecture

We are starting a set of Video on Cognitive Reference Architecture

And the implementation is progressing at

Feel free to contact me for enhancements and feedback.

Friday, October 27, 2017

Hybrid Integration starting to run on IBM Cloud Private

Do you want to get explanations on how to do hybrid integration with IBM Middleware products, cloud native app  running on public or private cloud?

The first hybrid integration configuration with cloud-native application (angular 4, nodejs/expressjs) is deployed on IBM Cloud Private, connect to API Connect running on premise, connected to IBM Integration bus to process an interface mapping flow, connected to a SOAP service to expose CRUD operations for inventory data source which runs on Liberty, and the data are persisted in DB2. 

You can see the light tutorial at this address: 
Let me know your thoughts, and ideas

Friday, October 6, 2017

Next week the 10/10 is the IBM Cloud University in Berlin, a lot of good sessions will be presented on public and private cloud. I will deliver one presentation and two deep dive labs:

  1. Watson Discovery with weather collection: Reference. This lab was already presented internally to our technical staff in Dallas, London, Melbourne and Tokyo. The public web page tutorial can be accessed in the IBM Cloud Garage Method tutorial web site
  2. Watson Conversation to implement an IT Support chat bot (Reference): This is also a lab presented multiple times to our internal technical staff. The public web page tutorial can be accessed in the IBM Garage Method Tutorial

If you want to go over the hello world and access to some best practices to implement those solution, please come or visit those tutorials.