Case Study: From a Monolith to Cloud, Containers, Microservices

Posted in API Management, Cloud, Cloud-Native, Docker, EAI, ESB, Java / JEE, Microservices, Middleware, SOA on February 24th, 2017 by Kai Wähner

The following shows a case study about successfully moving from a very complex monolith system to a cloud-native architecture. The architecture leverages containers and Microservices. This solve issues such as high efforts for extending the system, and a very slow deployment process. The old system included a few huge Java applications and a complex integration middleware deployment.

The new architecture allows flexible development, deployment and operations of business and integration services. Besides, it is vendor-agnostic so that you can leverage on-premise hardware, different public cloud infrastructures, and cloud-native PaaS platforms.

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , ,

Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Services

Posted in Analytics, Big Data, Business Intelligence, Cloud, Hadoop on November 15th, 2016 by Kai Wähner

In November 2016, I am at Big Data Spain in Madrid for the first time. A great conference with many awesome speakers and sessions about very hot topics such as Apache Hadoop, Spark Spark, Streaming Processing / Streaming Analytics and Machine Learning. If you are interested in big data, then this conference is for you! My two talks:

  • How to Apply Machine Learning to Real Time Processing” (see slides and video recording from a similar conference talk).
  • Comparison of Streaming Analytics Options” (the reason for this blog post; an updated version of my talk from JavaOne 2015)
Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Comparison of Open Source IoT Integration Frameworks

Posted in API Management, Cloud, Cloud-Native, Microservices, SOA on November 3rd, 2016 by Kai Wähner

In November 2016, I attended Devoxx conference in Casablanca. Around 1500 developers participated. A great event with many awesome speakers and sessions. Hot topics this year besides Java: Open Source Frameworks, Microservices (of course!), Internet of Things (including IoT Integration), Blockchain, Serverless Architectures.

I had three talks:

  • How to Apply Machine Learning to Real Time Processing
  • Comparison of Open Source IoT Integration Frameworks
  • Tools in Action – Live Demo of Open Source Project Flogo

In addition, I was interviewed by the Voxxed team about Big Data, Machine Learning and Internet of Things. The video will be posted on Voxxed website in the next weeks.

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Open Source Project Flogo – Overview, Architecture and Live Demo

Posted in API Management, Cloud, Cloud-Native, Docker, ESB, Microservices, Middleware, SOA on November 3rd, 2016 by Kai Wähner

In October 2016, the open source IoT integration framework Flogo was published as first developer preview. This blog post is intended to give a first overview about Flogo. You can either browse through the slide deck or watch the videos.

Flogo

What is Project Flogo?

In short, Flogo is an ultra-lightweight integration framework powered by Go programming language. It is open source under the permissive BSD license and easily extendable for your own use cases. Flogo is used to develop IoT edge apps or cloud-native / serverless microservices. Therefore, it is complementary to other integration solutions and IoT cloud platforms.

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Hybrid Integration Architecture is the New Default

Posted in API Management, Cloud, Cloud-Native, Docker, EAI, ESB, Microservices, Middleware, SOA on August 5th, 2016 by Kai Wähner

The IT world is moving forward fast. The digital transformation changes complete industries and peels away existing business models. Cloud services, mobile devices and the Internet of Things establish wild spaghetti architectures though different departments and lines of business. Several different concepts, technologies and deployment options are used. A single integration backbone is not sufficient anymore in this era of integration. Therefore, a Hybrid Integration Architecture is getting the new default in most enterprises.

Different user roles need to leverage different tools to integrate applications, services and APIs for their specific need. A key for success is that all integration and business services work together across different platforms in a hybrid world with on premise and cloud deployments.

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Voxxed Article: Microservices, Containers and Cloud-Native Architectures for Middleware

Posted in Cloud, Cloud-Native, Docker, ESB, Microservices on June 2nd, 2016 by Kai Wähner

I wanna refer to a new article published today at Voxxed: “Microservices, Containers and Cloud-Native Architectures for Middleware“. Here is the summary:

Summary of the Article

The IT world is moving forward fast. I wrote about Microservices and whether that spells the death of the Enterprise Service Bus and other middleware a year ago. This article is a “follow-up” and update to discuss how relevant microservices, containers and a cloud-native architecture is for middleware. It is unbelievable how fast enterprises of all sizes are moving forward with these topics!

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Streaming Analytics with Analytic Models (R, Spark MLlib, H20, PMML)

Posted in Analytics, Big Data, Business Intelligence, Hadoop, In Memory, NoSQL on March 3rd, 2016 by Kai Wähner

In March 2016, I had a talk at Voxxed Zurich about “How to Apply Machine Learning and Big Data Analytics to Real Time Processing”.

Kai_Waehner_at_Voxxed_Zurich

Finding Insights with R, H20, Apache Spark MLlib, PMML and TIBCO Spotfire

Big Data” is currently a big hype. Large amounts of historical data are stored in Hadoop or other platforms. Business Intelligence tools and statistical computing are used to draw new knowledge and to find patterns from this data, for example for promotions, cross-selling or fraud detection. The key challenge is how these findings can be integrated from historical data into new transactions in real time to make customers happy, increase revenue or prevent fraud.

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Comparison of Stream Processing Frameworks and Products

Posted in Analytics, Business Intelligence, Hadoop, In Memory on October 25th, 2015 by Kai Wähner

See how products, libraries, and frameworks that full under ‘streaming data analytics’ use cases are categorized and compared.

Streaming Analytics processes data in real time while it is in motion. This concept and technology emerged several years ago in financial trading, but it is growing increasingly important these days due to digitalization and Internet of Things (IoT). The following slide deck from a recent talk at a conference covers:

  • Real world success stories from different industries (Manufacturing, Retailing, Sports)
  • Alternative Frameworks and Products for Stream Processing
  • Complementary Relationship to Data Warehouse, Apache Hadoop, Statistics, Machine Learning, Open Source R, SAS, Matlab, etc.
Tags: , , , , , , , , , , , , , , , , , , , , ,

Micro Services Architecture = Death of Enterprise Service Bus (ESB)?

Posted in API Management, Cloud, EAI, ESB, In Memory, Java / JEE on January 8th, 2015 by Kai Wähner

These days, it seems like everybody is talking about microservices. You can read a lot about it in hundreds of articles and blog posts, but my recommended starting point would be this article by Martin Fowler, which initiated the huge discussion about this new architectural concept. This article is about the challenges, requirements and best practices for creating a good microservices architecture, and what role an Enterprise Service Bus (ESB) plays in this game.

Branding and Marketing: EAI vs. SOA vs. ESB vs. Microservices

Let’s begin with a little bit of history about Service-oriented Architecture (SOA) and Enterprise Service Bus to find out why microservices have become so trendy.

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Intelligent BPM Suite (iBPMS): Implementation of a CRM Use Case

Posted in Analytics, Big Data, BPM, Business Intelligence, Cloud, ESB, In Memory, Social Network on December 3rd, 2014 by admin

Today, humans have to interpret large sets of different data to make a decision. Using gut feeling is nothing but gambling. Therefore, big data analytics is getting more and more important every year to make better decisions. However, just doing big data analytics is not enough. In many use cases, systematic and monitored human interactions are as important to get best outcomes.

Tags: , , , , , , , , , , , , , , , , , , , , , ,