A New Front for SOA: Open API and API Management as Game Changer

In October 2014, I had a talk at Jazoon in Zurich, Switzerland: “A New Front for SOA: Open API and API Management as Game Changer

Business Perspective – Open API and API Management

Open API represent the leading edge of a new business model, providing innovative ways for companies to expand brand value and routes to market, and create new value chains for intellectual property. In the past, SOA strategies mostly targeted internal users. Open APIs target mostly external partners.

This session introduces the concepts of Open API, its challenges and opportunities. API Management will become important in many areas, no matter if business-to-business (B2B) or business-to-customer (B2C) communication. Several real world use cases will discuss how to gain leverage due to API Management.

Comparison of API Management Products: TIBCO API Exchange, IBM, Apigee, 3scale, WSO2, MuleSoft, Mashery, Layer 7, Vordel

The end of the session shows and compares API management products from different vendors. As API management products improve and mature a lot these days, a detailed comparison is out-of-date when it is released. Therefore, I “just” explain how to categorize different API Management products, and which specific questions help you to doing an evaluation of a short list and making the right choice.

Live-Drawing of my Talk

A great offering by Jazoon: Someone from Visual Notes made a live-drawing of my talk:

 

 

 

 

 

 

 

 

 

Even though IT is a hard case for such a drawing, it looks awesome! Thanks to Visual Notes.

Slides from Jazoon 2014

Here are the slides from Jazoon 2014. I appreciate every feedback and discussion.

http://www.slideshare.net/KaiWaehner/a-new-front-for-soa-open-api-and-api-management-as-game-changer

Kai Waehner

bridging the gap between technical innovation and business value for data integration, workflow orchestration, and agentic AI.

Recent Posts

When to Use AMQP, JMS, Kafka, or MQTT: Trade-offs, Not a Winner

AMQP, JMS, Kafka, and MQTT get compared as rivals, but a message broker, a log,…

9 hours ago

Kafka vs Flink vs Spark: Do You Really Need Real-Time?

Most vendors sell milliseconds, but most enterprise use cases do not need them. A critical…

3 days ago

Edge to Cloud and Back: Four Data Movement Problems, and Why One Technology Never Solves All of Them

Edge to cloud is not one integration problem. It is four: telemetry going up, control…

1 week ago

Data Integration Landscape 2026: Event Streaming, API, and Batch in the Era of Agentic AI

The Data Integration Landscape 2026 maps every major vendor across three communication paradigms: request-response, event-driven,…

1 week ago

Why I Joined Kestra: Enterprise Workflow Orchestration for the Agentic AI Era

Enterprises run separate tools for IT scheduling, data pipelines, business processes, and infrastructure. None talk…

2 weeks ago

My Confluent Chapter: From Apache Kafka Startup to $11 Billion IBM Acquisition

Nine years at Confluent: from a Silicon Valley startup with 100 people to an $11…

3 weeks ago